To see the other types of publications on this topic, follow the link: Forest plot.
Journal articles on the topic 'Forest plot'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Forest plot.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Boyles, Abee L., Shawn F. Harris, Andrew A. Rooney, and Kristina A. Thayer. "Forest Plot Viewer." Epidemiology 22, no. 5 (2011): 746–47. http://dx.doi.org/10.1097/ede.0b013e318225ba48.
Full text
2
Totochenko, Denis A. "A Land Plot and a Forest Plot." Notary 2 (May 4, 2023): 39–42. http://dx.doi.org/10.18572/1813-1204-2023-2-39-42.
Full textAbstract:
The article examines the features of the relationship of such concepts as land and forest land. The author considers the possibility of a forest plot to act as an object of civil and other relations. In addition, the definition of the concept of a part of a forest plot is proposed.
3
GALVÁN-MORENO, Viridiana Sugey, Oscar Alberto AGUIRRE-CALDERÓN, Eduardo ALANÍS-RODRÍGUEZ, et al. "Forest sampling techniques in different types of vegetation applying plot sampling, non-plot sampling, and remote sensing." Nova Geodesia 4, no. 3 (2024): 202. http://dx.doi.org/10.55779/ng43202.
Full textAbstract:
Forest inventories are undergoing rapid changes due to an increasingly complex set of economic, environmental, and social policy objectives. Therefore, the objective is to identify, analyse, and discuss the main forest inventory methods at global, regional, and local levels, with an analytical perspective on the goals they seek to achieve in various forest ecosystems. For this review, information from 79 relevant studies related to the objectives and methods used in sampling forest resources in tropical, boreal, temperate, and arid ecosystems was considered. According to the analysed studies, forest inventories in different ecosystems face challenges and apply varied methods to assess forests. In the tropics, the focus is on monitoring biomass and carbon, but they show limitations in data quality and quantity limitations. To improve accuracy, robust sampling methods are suggested. In boreal ecosystems, LiDAR and data-driven models offer detailed biomass estimates. In temperate forests, diversified sampling techniques are employed to balance accuracy and efficiency. In arid ecosystems, non-plot methods are useful for mapping density and diversity of the forests. To board the specific challenges of each region, innovative approaches are needed. Inventories have been influenced by changes in environmental policies and technology; therefore, the need to estimate key forest variables and monitor their dynamics requires robust and technologically advanced sampling methods.
4
Zhao, Chenhao, Yan Zhu, and Jinghui Meng. "Effects of Plot Design on Estimating Tree Species Richness and Species Diversity." Forests 13, no. 12 (2022): 2003. http://dx.doi.org/10.3390/f13122003.
Full textAbstract:
Species richness and diversity substantially affect forest structures and function and are critical indicators of sustainable forest management. Sampling surveys are widely used in forest inventories because they efficiently assess forest characteristics. However, an appropriate sample plot design is required. The objectives of this study were to evaluate the effects of plot design on estimating species richness and species diversity using a simulation. A 20 ha census plot was established in a temperate forest to obtain the true values of species richness and species diversity. One single plot design and nine cluster plot designs were evaluated. The results indicated significant differences in forest species richness and species diversity for different plot designs. The cluster plot design with a square subplot configuration (SCONFIG) and extent of ground area covered by a cluster (EGROUND) of 500 m2 exhibited the best performance (accuracy, precision) in estimating forest species richness. In contrast, a rectangular cluster plot with an EGROUND of 1000 m2 was more suitable for assessing species diversity. This study demonstrates that cluster plots outperform a single plot for evaluating species richness and species diversity in temperate forests.
5
Sani-Mohammed, Abubakar, Wei Yao, Reda Fekry, Tsz-Chung Wong, and Marco Heurich. "Forest Plot Decay Level Classification from ALS-Derived L-moments." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 587–92. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-587-2024.
Full textAbstract:
Abstract. Forests play key roles in climate regulation and essential environmental services for living organisms. This is why forests are the central focus of the United Nations (UN) Sustainable Development Goal (SDG 15). Thus, effective forest management is critical for forest sustainability and preservation. Remote sensing advancements have improved forest mensuration leveraging cost and time, contrary to the field surveying approach. Often, field data is required to validate remotely sensed results. However, circumstances in the forest may render field data collection impossible. This study applied LiDAR-derived L-moments to directly estimate and classify five forest plot decay levels, to understand forest growth dynamics in the absence of field data. Two L-moment-based rules were tested and evaluated for classifying the plot decay levels from ALS height returns. Our findings show that the first rule (Lcv = 0.5) classified decay Levels 1 and 2 at Lcv < 0.5 and Levels 3 to 5 at Lcv > 0.5, while the second rule (Lskew = 0) classified decay Level 1 at Lskew < 0, and Levels 2 to 5 at Lskew > 0. This indicates that, while discriminating plot decay levels, the L-moment-based rules can classify healthy forest areas and areas of deadwood of varying decay levels directly from ALS height returns. This can be convenient for forest managers to exploit for classifying plot decay levels and for mapping areas of large gaps for planning forest resources for effective forest management. Furthermore, the approach can equally be significant for assessing forest biomass, biodiversity, and carbon stock.
6
Craven, Dylan, Tiffany Knight, Kasey Barton, et al. "OpenNahele: the open Hawaiian forest plot database." Biodiversity Data Journal 6 (September 27, 2018): e28406. https://doi.org/10.3897/BDJ.6.e28406.
Full textAbstract:
This data paper provides a description of OpenNahele, the open Hawaiian forest plot database. OpenNahele includes 530 forest plots across the Hawaiian archipelago containing 43,590 individuals of 185 native and alien tree, shrub and tree fern species across six islands. We include estimates of maximum plant size (D95<sub>0.1</sub> and D<sub>max3</sub>) for 58 woody plant species, a key functional trait associated with dispersal distance and competition for light. OpenNahele can serve as a platform to test key ecological, evolutionary and conservation questions in a hotspot archipelago. OpenNahele is the first database that compiles data from a large number of forest plots across the Hawaiian archipelago to allow broad and high resolution studies of biodiversity patterns. <b>Keywords</b>: Hawaii, forests, islands, biodiversity, community ecology, evolutionary ecology
7
Haikal, Fansuri Fikri, Rahmat Safe’i, and Arief Darmawan. "IMPORTANCE OF MONITORING OF FOREST HEALTH IN MANAGEMENT OF COMMUNITY FORESTS (Case Study of HKM Beringin Jaya managed by KTH Lestari Jaya 8)." JURNAL HUTAN PULAU-PULAU KECIL 4, no. 1 (2020): 31–43. http://dx.doi.org/10.30598/jhppk.2020.4.1.31.
Full textAbstract:
Community forestry is a social forestry scheme in state forests. Hkm empowers communities around the forest area to increase the ability and independence of the local community. Forest health monitoring is still rarely applied in the management of HKm. Forest health monitoring results can be a reference in making the right decisions in managing HKm so that the results obtained can be optimal. This study aims to determine the results of forest health monitoring in Beringin Jaya HKm managed by KTH Lestari Jaya 8. The research was conducted using the Forest Health Monitoring (FHM) method. Forest health monitoring results show that there are 6 cluster plots with the final value of forest health status in cluster 1 (2.53) bad category, plot 2 (8.98) good category, plot 3 (6.31) moderate category, plot cluster 4 (10.51) category is good, cluster plot 5 (10.74) category is good and cluster plot 6 (8.98) category is good. Thus the results of forest health monitoring obtained by KTH Lestari Jaya 8 with an average final value of forest health status is moderate
8
Cipriani, Andrea, and Corrado Barbui. "What is a forest plot?" Epidemiology and Psychiatric Sciences 15, no. 4 (2006): 258–59. http://dx.doi.org/10.1017/s1121189x0000213x.
Full text
9
Li, Chungan, Xin Lin, Huabing Dai, Zhen Li, and Mei Zhou. "Effects of Plot Size on Airborne LiDAR-Derived Metrics and Predicted Model Performances of Subtropical Planted Forest Attributes." Forests 13, no. 12 (2022): 2124. http://dx.doi.org/10.3390/f13122124.
Full textAbstract:
Investigating the impact of field plot size on the performance of estimation models for forest inventory attributes could help optimize the technical schemes for an operational airborne LiDAR-assisted forest resource inventory. However, few studies on the topic have focused on subtropical forests. In this study, 104 rectangular plots of 900 m2 (subdivided into nine quadrats with an area of 10 × 10 m) in subtropical planted forests (Chinese fir, pine, eucalyptus, and broad-leaved forest, 2–56 years old) were used to establish four datasets with six different plot sizes (100, 200, 300, 400, 600, and 900 m2) by combining quadrats. The differences in the LiDAR-derived metrics and forest attributes between plots of different sizes were statistically analyzed. Based on the multivariate power models with stable structures, the differences in estimation accuracies of the stand volume (VOL) and basal area (BA) using plot data of different sizes were compared. The results indicated that: (1) the mean differences in LiDAR-derived metrics of the plots of different sizes in all forest types were small, and most of them had no statistically significant differences (α = 0.05) between the plots of different sizes and the 900 m2 plots; however, the standard deviation of the difference increased rapidly with decreasing plot size; (2) except for the maximal tree height of the plots, the other forest attributes, including the mean tree height, diameter at breast height, BA, and VOL of all forest types, showed no statistically significant differences between the plots of different sizes and the 900 m2 plots; and (3) with increasing plot size, the accuracies of VOL and BA estimations improved markedly, and the effects of plot size on the estimation accuracies of the different forest attributes and different forest types were essentially the same. Spatial averaging resulted in the variations in the independent variables (LiDAR variables) and dependent variables (forest attributes) decreasing gradually with the increasing plot size, which was the main reason for the model’s accuracy improving. In applying airborne LiDAR to a large-scale subtropical planted forest inventory, the plot size should be at least 600 m2 for all forest types.
10
Anderson, L. O., Y. Malhi, R. J. Ladle, et al. "Influence of landscape heterogeneity on spatial patterns of wood productivity, wood specific density and above ground biomass in Amazonia." Biogeosciences 6, no. 9 (2009): 1883–902. http://dx.doi.org/10.5194/bg-6-1883-2009.
Full textAbstract:
Abstract. Long-term studies using the RAINFOR network of forest plots have generated significant insights into the spatial and temporal dynamics of forest carbon cycling in Amazonia. In this work, we map and explore the landscape context of several major RAINFOR plot clusters using Landsat ETM+ satellite data. In particular, we explore how representative the plots are of their landscape context, and test whether bias in plot location within landscapes may be influencing the regional mean values obtained for important forest biophysical parameters. Specifically, we evaluate whether the regional variations in wood productivity, wood specific density and above ground biomass derived from the RAINFOR network could be driven by systematic and unintentional biases in plot location. Remote sensing data covering 45 field plots were aggregated to generate landscape maps to identify the specific physiognomy of the plots. In the Landsat ETM+ data, it was possible to spectrally differentiate three types of terra firme forest, three types of forests over Paleovarzea geomorphologycal formation, two types of bamboo-dominated forest, palm forest, Heliconia monodominant vegetation, swamp forest, disturbed forests and land use areas. Overall, the plots were generally representative of the forest physiognomies in the landscape in which they are located. Furthermore, the analysis supports the observed regional trends in those important forest parameters. This study demonstrates the utility of landscape scale analysis of forest physiognomies for validating and supporting the finds of plot based studies. Moreover, the more precise geolocation of many key RAINFOR plot clusters achieved during this research provides important contextual information for studies employing the RAINFOR database.
11
Maulana, Irlan Rahmat, Rahmat Safe'i, and Indra Gumay Febryano. "Penilaian Status Kesehatan Hutan Mangrove Di Desa Margasari Kecamatan Labuhan Maringgai Kabupaten Lampung Timur." ULIN: Jurnal Hutan Tropis 5, no. 2 (2021): 90. http://dx.doi.org/10.32522/ujht.v5i2.4765.
Full textAbstract:
Mangrove forest ecosystems can be interpreted as a unique and distinctive form of ecosystem, so that it is able to provide many benefits, ranging from socio-economic or ecological terms to the surrounding ecosystem. Mangrove forest in Margasari Village is a mangrove forest ecosystem that has physical, economic and ecological potential that needs to be maintained through sustainable forest management. One of the ways to manage mangroves is by monitoring forest health. Forest health monitoring that is applied periodically within a forest type can achieve sustainable forest management achievements so as to support better forest quality and quantity and can be a reference in making the right decisions in mangrove forest management so that the results obtained can be optimal. This study aims to obtain the value of the health status of mangrove forests in East Lampung Regency in order to ensure the sustainability of the forest. The study was conducted using themethod Forest Health Monitoring (FHM). The results of forest health monitoring showed that there were 4 plot clusters with the final value of forest health status in the medium category plot 1 (5.63), cluster plot 2 (3.51) poor category, cluster plot 3 (4.92) poor category, and cluster plot 4 (7.57) in good category. Thus the results of forest health monitoring obtained in the mangrove forest of Margasari Village with an average final value of forest health status of 5.41 which is included in the medium category.
12
Shao, J., W. Zhang, L. Luo, S. Cai, and H. Jiang. "SLAM-BASED BACKPACK LASER SCANNING FOR FOREST PLOT MAPPING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 267–71. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-267-2020.
Full textAbstract:
Abstract. Acquisition of three-dimensional (3D) structural information is significant for forest measurements. To achieve faster data collection in forests, we design a backpack laser scanning (BLS) system using a single mobile laser scanning (MLS) scanner and specific to forest environments. The simultaneous localization and mapping (SLAM) approach based on the natural geometric characteristics of trees is used for BLS-based forest mapping, in which the skeleton line of the individual tree is extracted for scan matching and the incremental maps are adopted for global optimization of all the BLS point clouds. The final experimental results show that the SLAM-based BLS system achieves accurate forest plots mapping and allows reaching low mapping errors, in which the mean errors are approximately 3 cm in the horizontal and 2 cm in the vertical direction.
13
Gillis, M. D., A. Y. Omule, and T. Brierley. "Monitoring Canada's forests: The National Forest Inventory." Forestry Chronicle 81, no. 2 (2005): 214–21. http://dx.doi.org/10.5558/tfc81214-2.
Full textAbstract:
A new national forest inventory is being installed in Canada. For the last 20 years, Canada's forest inventory has been a compilation of inventory data from across the country. Although this method has a number of advantages, it lacks information about the nature and rate of changes to the resource, and does not permit projections or forecasts. To address these limitations a new National Forest Inventory (NFI) was developed to monitor Canada's progress in meeting a commitment towards sustainable forest management, and to satisfy requirements for national and international reporting. The purpose of the new inventory is to "assess and monitor the extent, state and sustainable development of Canada's forests in a timely and accurate manner." The NFI consists of a plot-based system of permanent observational units located on a national grid. A combination of ground plot, photo plot and remote sensing data are used to capture a set of basic attributes that are used to derive indicators of sustainability. To meet the monitoring needs a re-measurement strategy and framework to guide the development of change estimation procedures has been worked out. A plan for implementation has been drafted. The proposed plan is presented and discussed in this paper. Key words: Canada, forest cover, inventory, monitoring, National Forest Inventory, re-measurement, panel
14
Bilibajkić, Svetlana, Tomislav Stefanović, Radovan Nevenić, et al. "Intensive monitoring at Level II test plot Kopaonik in 2012." Sustainable Forestry: Collection, no. 65-66 (2012): 51–63. http://dx.doi.org/10.5937/sustfor1265051b.
Full textAbstract:
Level II intensive monitoring of forest vitality represents a multipurpose research system. Forest ecosystems are highly complex entities characterized by numerous different parameters subject to continuous variation due to constant and mutually inseparable effects of both biotic and abiotic factors. Evaluation criteria applied in intensive monitoring are compatible and defined in such a manner that, subsequent to their recording and statistical processing, data obtained on the condition of forests are easy to compare both analytically and logically, thus providing the basis for a variety of comparative studies. Dedicated test plot for intensive monitoring of trans-boundary air pollution impact on forest ecosystems in Serbia, a Level II test plot, was established in Kopaonik in 2010, with ten panels - from 10 separate forestry research areas, grouped according to the research subjects, which methodology is prescribed by ICP Forests Manual. This paper presents the results of intensive monitoring of parameters under review at Level II test plot Kopaonik in 2012.
15
Burch, Brent D., and Andrew J. Sánchez Meador. "Comparison of forest age estimators using k-tree, fixed-radius, and variable-radius plot sampling." Canadian Journal of Forest Research 48, no. 8 (2018): 942–51. http://dx.doi.org/10.1139/cjfr-2018-0098.
Full textAbstract:
Quantifying the age characteristics of a forest can provide valuable information about the forest’s impact on the environment. For instance, the age of a forest can affect the ecosystem’s carbon exchange, soil enzyme activity, and biodiversity. In this paper, we investigate the use of different sampling methods to estimate the age characteristics of three simulated ponderosa pine (Pinus ponderosa Dougl. ex P. Lawson & C. Lawson) forests having different spatial and age patterns. This includes estimating the mean tree age and the age-class distribution of the trees in the forest. The trees in the sample are selected using k-tree sampling, fixed-radius plot sampling, or variable-radius plot sampling, and we compare the properties of the resulting estimators via design-based and model-based approaches. Analyses of the different sampling methods applied to the three forests suggest that the estimator associated with k-tree sampling, with the addition of a few extra trees per plot, is feasible for forests having a spatially mosaic or random spatial pattern. The estimator associated with fixed-radius plot sampling performed well for the forest having a clustered spatial pattern.
16
Er, K. B. H., K. Y. Chong, T. Y. S. Choo, D. J. Middleton, and P. Y. Tan. "Establishing a network of long-term forest monitoring plots in Singapore." Gardens’ Bulletin Singapore 75, no. 1 (2023): 1–20. http://dx.doi.org/10.26492/gbs75(1).2023-01.
Full textAbstract:
We review the history of plot-based studies of forests in Singapore and their contribution to our understanding of tropical forest ecology, especially of the regenerative capabilities of forest remnants after fragmentation, land-use change, and other disturbances. With this, we describe the establishment of the Long-Term Forest Ecological Monitoring plot network that includes the continued utilisation of sets of recently established, standardised plots along with the re-establishment of a historical set of plots surveyed by a team led by Wong Yew Kwan in 1992, ensuring the plot design is harmonised across the network.
17
Zhang, Jiapeng, Zhiqing Jia, Qingxue Li, et al. "Determine the Optimal Vegetation Type for Soil Wind Erosion Prevention and Control in the Alpine Sandy Land of the Gonghe Basin on the Qinghai Tibet Plateau." Forests 14, no. 12 (2023): 2342. http://dx.doi.org/10.3390/f14122342.
Full textAbstract:
There is a dearth of research regarding the windbreak and sand stabilization functions of Caragana liouana shelter forests in the Gonghe Basin of the Qinghai-Tibet Plateau. Therefore, the aim is to elucidate the patterns of near-surface wind–sand activity in artificial Caragana liouana forests of varying ages and mixed forests of different configurations in alpine sandy areas. Additionally, this research seeks to clarify the windbreak and sand fixation effects of these forests. To this end, we have selected artificial forests of Caragana liouana of varying ages (10-year-old pure Caragana liouana forest (10aZJ-C), 17-year-old pure Caragana liouana forest (17aZJ-C), 37-year-old pure Caragana liouana forest (3aZJ-C)) and shrub mixed forests of different mixing modes (10-year-old Caragana liouana and Caragana korshinskii mixed forest (10aNZ-HJ), 10-year-old Caragana liouana and Artemisia desertorum mixed forest (10aSZ-HJ), an 10-year-old Caragana liouana and Salix cheilophila mixed forest (10aWZ-HJ)) within the Sand Control Station of Shazhuyu Village in the Gonghe Basin of the Qinghai-Tibet Plateau as the research subjects. Naked sand dunes were used as the control plot (CK), and through field observations of the wind speed profile, sand transport rate, and micro-topographic changes of each stand plot, we analyzed the wind–sand flow structure characteristics and sand transport process of Caragana liouana of different ages and their mixed forests, eventually proposing suitable afforestation configuration modes for the alpine sand area of the Gonghe Basin in Qinghai. The findings indicate that the wind speed profile within each stand plot follows a linear distribution pattern. Compared to naked dune land, the windbreak effect of each plot decreases as the height from the ground increases. Among them, the 10aWZ-HJ plot significantly alters the wind speed profile and has a substantial windbreak effect; at a height of 200 cm, the windbreak effect can still reach 41.27%. The sand transport rate of each plot fits into an exponential function relationship, with the correlation coefficients (R2) of the fitting equations for each plot all exceeding 0.95 and significantly lower than the control plot, suggesting vegetation can effectively reduce near-surface sand transport. The sand-fixing effects at the height of 0–45 cm from the ground in each plot are as follows: 37aZJ-C > 17aZJ-C > 10aWZ-HJ > 10aNZ-HJ > 10aZJ-C > 10aSZ-HJ. Overall, all plots indicate a state of accumulation. The 10aWZ-HJ plot has the largest relative accumulation area at 88.00%, and the highest average intensity of wind erosion and accumulation at 1.11. Taking into account the stability of the stand and the total protection time, this study suggests that it is suitable to mainly use mixed forests of Salix cheilophila and Caragana liouana in the alpine sand area of the Qinghai-Tibet Plateau. The results of this study can provide a theoretical basis for the construction of windbreak and sand-fixing forests in alpine sand areas.
18
Bell, F. Wayne, Jennifer Dacosta, Steven G. Newmaster, et al. "The NEBIE plot network: Highlights of long-term scientific studies." Forestry Chronicle 93, no. 02 (2017): 122–37. http://dx.doi.org/10.5558/tfc2017-019.
Full textAbstract:
The NEBIE plot network is a stand-scale, multi-agency research project designed to compare the ecological effects of a range of silvicultural treatments in northern temperate and boreal forest regions of Ontario, Canada. While research on silviculture intensities has been previously conducted, the NEBIE plot network is at a larger scale, and covers a wider range of intensities in a variety of northern temperate and boreal forest types. Details about experimental design, treatment designs and research sites, are presented in a companion paper which is published in this edition of The Forestry Chronicle. The operational scale of treatment plots allow for assessment of a variety of forest values. We used a criteria and indicator approach to organize long-term research studies on the network sites, with the goal of providing scientific findings that would inform forest policy. Pre-treatment, and 2-, 5-, and 10-year post-harvesting data have been collected. These initial data add to existing information on the effects of intensification of silviculture on biological diversity, forest productivity, ecosystem health and vitality, soil and water resources, contribution of enhanced forest management global carbon cycles, and long-term multiple socio-economic benefits of northern forests.
19
Xiong, Shimei, Lubei Yi, Anming Bao, Zhengyu Wang, Zefu Tao, and Wenqiang Xu. "Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees." Forests 14, no. 12 (2023): 2426. http://dx.doi.org/10.3390/f14122426.
Full textAbstract:
While the use of large tropical trees to predict aboveground biomass (AGB) in forests has previously been studied, the applicability of this approach in arid regions remains unquantified. In the natural forests of arid mountains of Northwestern China, this study collected individual tree data from 105 plots across 11 sites through field measurements. The objective was to assess the feasibility of using large trees for predicting plot AGB in these natural forests of arid mountains. This entailed determining the contribution of large trees, based on which a plot AGB prediction model was constructed. This study also aimed to identify the optimal number of large trees needed for accurate AGB prediction. The findings indicate that within the natural forests of arid mountains, only seven large trees (approximately 12% of the trees in a plot) are necessary to account for over 50% of the plot AGB. By measuring 18 large trees within a plot, this study achieved a precise plot AGB estimation, resulting in a model rRMSE of 0.27. The regression fit R2 for the predicted AGB and the estimated AGB was 0.79, effectively aligning the predicted and measured AGB. In the Tianshan Mountains’ natural forests, the prediction model yielded further improvements with an rRMSE of 0.13 and a remarkable regression R2 of 0.92 between predicted and estimated AGB. However, due to variances in tree size distribution and tree species biomass, the Altai Mountains’ natural forest was found to be unsuitable for predicting plot AGB using large trees. This study establishes that large trees can effectively represent plot AGB in the natural forests of arid mountains. Employing forest surveys or remote sensing to collect data from a few large trees instead of the entire tree population enables accurate plot AGB prediction. This research serves as the initial quantification of large tree utilization for plot AGB prediction in the natural forests of arid mountains, carrying substantial implications for future arid forest inventories, carbon accounting, and the formulation of prudent conservation strategies.
20
Anderson, L. O., Y. Malhi, R. J. Ladle, et al. "Influence of landscape heterogeneity on spatial patterns of wood productivity, wood specific density and above ground biomass in Amazonia." Biogeosciences Discussions 6, no. 1 (2009): 2039–83. http://dx.doi.org/10.5194/bgd-6-2039-2009.
Full textAbstract:
Abstract. Long-term studies using the RAINFOR network of forest plots have generated significant insights into the spatial and temporal dynamics of forest carbon cycling in Amazonia. In this work, we map and explore the landscape context of several major RAINFOR plot clusters using Landsat ETM+ satellite data. In particular, we explore how representative the plots are of their landscape context, and test whether bias in plot location within landscapes may be influencing the regional mean values obtained for important forest biophysical parameters. Specifically, we evaluate whether the regional variations in wood productivity, wood specific density and above ground biomass derived from the RAINFOR network could be driven by systematic and unintentional biases in plot location. Remote sensing data covering 45 field plots were aggregated to generate landscape maps to identify the specific physiognomy of the plots. In the Landsat ETM+ data, it was possible to spectrally differentiate three types of terra firme forest, three types of alluvial terrain forest, two types of bamboo-dominated forest, palm forest, Heliconia monodominant vegetation, swamp forest, disturbed forests and land use areas. Overall, the plots were generally representative of the forest physiognomies in the landscape in which they are located. Furthermore, the analysis supports the observed regional trends in those important forest parameters. This study demonstrates the utility of landscape scale analysis of forest physiognomies for validating and supporting the finds of plot based studies. Moreover, the more precise geolocation of many key RAINFOR plot clusters achieved during this research provides important contextual information for studies employing the RAINFOR database.
21
Sedgwick, P. "How to read a forest plot." BMJ 345, dec07 6 (2012): e8335-e8335. http://dx.doi.org/10.1136/bmj.e8335.
Full text
22
Kim, Jeehyoung, Jay S. Kaufman, and Heejung Bang. "Graphing Ratio Measures on Forest Plot." Journal of the American College of Cardiology 71, no. 5 (2018): 585–86. http://dx.doi.org/10.1016/j.jacc.2017.10.098.
Full text
23
Seth, Ushmita. "How to read a forest plot." Journal of the Practice of Cardiovascular Sciences 5, no. 2 (2019): 108. http://dx.doi.org/10.4103/jpcs.jpcs_39_19.
Full text
24
Mansur, Muhammad, and Kuswata Kartawinata. "PHYTOSOCIOLOGY OF A LOWER MONTANE FOREST ON MT. BATULANTEH, SUMBAWA, INDONESIA." REINWARDTIA 16, no. 2 (2017): 77. http://dx.doi.org/10.14203/reinwardtia.v16i2.3369.
Full textAbstract:
MANSUR, M & KARTAWINATA, K. 2017. Phytosociology of a Lower Montane Forest on Mt. Batulanteh, Sumbawa, Indonesia. Reinwardtia 16 (2): 77-92. — While Indonesia’s forests are globally known for their high species diversity but many regions remain little known to investigate the tree community in a lower montane forest at Mt. Batulanteh in Sumbawa. We subjectively laid out plots of 1,800 m2 each, two in secondary forests and one in a disturbed primary forest. All stems over 5 cm diameters were measured and identified. In the plot of 0,54 hectare, we recorded 723 individuals, representing 78 species, 60 genera and 33 families. Estimated volume of boles was 183.2 m3/0.54 ha, biomass was 220.1 tons/0.54 ha, carbon stock was 110.0 tons/0.54 ha and CO2 sequestration was 403.1 ton/0.54 ha. The forest at Mt. Batulanteh is classified as Garcinia-Cryptocarya association consisting of Micromelum-Cinnamomum subassociation. Dipterocarpus-Calophyllum subassociation and Garcinia-Syzygium subassociation. Dominant species were Micromelum minutum (IV=27.24), Mallotus philippensis (IV=26.2), Cryptocarya ferrea (IV=24.71) and Cinnamomum burmanni (IV=23.81) in Plot 1, Dipterocarpus retusus (IV=77.4) and Calophyllum soulattri (IV=24.21) in Plot 2, and Garcinia celebica (IV=34.86) and Syzygium sp. 1 (IV=34.76) in Plot 3. Dipterocarpus retusus was unique of having restricted distribution. Fagaceae, typical family in montane forests, was absent. Shannon’s diversity index was low (H '= 1.61). It can be concluded that the plots do not constitute a representative of Mt. Batulanteh and the surrounding forests, but they were sufficient to provide an illustration of the forests locally. The diameter class distribution indicated that the forests were regenerating. They were developing secondary forest and regenerating disturbed primary forest; slow successions were in the process and could be enhancedby ecological restoration. Further botanical explorations in poorly known regions of Sumbawa should be intensified further.
25
Nagaike, Takuo, Tomohiko Kamitani, and Tohru Nakashizuka. "Effects of different forest management systems on plant species diversity in a Fagus crenata forested landscape of central Japan." Canadian Journal of Forest Research 35, no. 12 (2005): 2832–40. http://dx.doi.org/10.1139/x05-200.
Full textAbstract:
To clarify how different forest management systems affect the diversity of understory vascular plant species at the plot level and the forest-type level, we examined a forested landscape originally occupied by primary Japanese beech, Fagus crenata Blume, in central Japan. The landscape is currently composed of four types of forest: primary F. crenata forest, shelterwood logged F. crenata forest, abandoned coppice forest, and coniferous plantation. Species richness per plot (α diversity) and in each forest type (γ diversity) and species turnover among plots in each forest type (β diversity) reached their highest values in plantation forests. While the difference in species composition between primary and shelterwood logged forests was not significant, the other pairs of forest types showed significant differences. Ordination analysis revealed that variation in species composition within the plantations seemed to be related to the dominance of naturally regenerated tree species, which reflected the intensity of tending. Although the species composition of less intensively tended plantations was similar to that of abandoned coppice forests that had been repeatedly cut in the past, their species composition differed from that of the primary forests. This suggests that most of the plantation and coppice forests, which were clear-cut at least once, do not revert to primary forest conditions after management is abandoned.
26
Burghouts, T. B. A., E. J. F. Campbell, and P. J. Kolderman. "Effects of tree species heterogeneity on leaf fall in primary and logged dipterocarp forest in the Ulu Segama Forest Reserve, Sabah, Malaysia." Journal of Tropical Ecology 10, no. 1 (1994): 1–26. http://dx.doi.org/10.1017/s0266467400007677.
Full textAbstract:
ABSTRACTEffects of tree species heterogeneity on leaf fall were studied in a primary (4 ha) and in a selectively logged forest plot (2.5 ha) in the Ulu Segama Forest Reserve, Sabah, Malaysia, from April 1988 to December 1989. Leaf fall was collected at 30 sampling points in each plot, and identified to species.Dipterocarpaceae, Euphorbiaceae, Lauraceae, Fagaceae and Meliaceae are important tree families in both plots with regard to their contribution to total basal area, tree density and annual leaf fall. The total number of tree species was higher in the primary forest plot (267) than in the logged forest plot (218), although the number of climber species was higher in the logged forest (44) than in the primary forest plot (33). The overlap in species composition between the two forest plots was relatively small (49%) compared with that in family composition (88%).In the primary forest plot, the Dipterocarpaceae contributed 29% of the total basal area and 34% of the annual leaf fall. In the logged forest plot these contributions were much lower, 11% and 15%. The contribution to annual leaf fall made by climbers and pioneer trees was higher in the logged forest plot (34%) than in the primary forest plot (8%).In the primary forest plot, leaf fall was dominated My large emergent and main canopy trees, mainly dipterocarps, and occurred as regular large peaks. In the logged forest leaf fall was dominated by climbers and many, relatively small trees of pioneer species, such as Macaranga hypoleuca, and was more evenly distributed in time.
27
Valencia, Renato, Richard Condit, Helene C. Muller-Landau, Consuelo Hernandez, and Hugo Navarrete. "Dissecting biomass dynamics in a large Amazonian forest plot." Journal of Tropical Ecology 25, no. 5 (2009): 473–82. http://dx.doi.org/10.1017/s0266467409990095.
Full textAbstract:
Abstract:Above-ground biomass (AGB) is increasing in most of the Amazon forests. One hypothesis is that forests are responding to widespread and intense human intervention prior to the European conquest (>500 y ago). In this study we confront this hypothesis with changes in AGB over 6.3 y in a large western Amazonian forest plot (>150 000 shrubs and trees and 1100 species with dbh ≥ 10 mm in 25 ha). We examined AGB flux in different habitats and across diameter classes. The forest lost small stems (4.6%), gained large trees (2.6%), and gained biomass (0.7%). The change in AGB stock was due entirely to this upward shift in size leading to more canopy trees and fewer saplings after just 6 y. Across habitats, the biggest increment in biomass was in the secondary-forest patch (3.4% y−1) which we know was cleared about 27 y ago, whereas mature forest on ridges and valleys had small increases (0.10% and 0.09% y−1, respectively). In both censuses, AGB stocks were >50% higher on the ridge than in the valley while relative growth and mortality were higher in the valley. Mean wood specific gravity (WSG) decreased with increasing diameter class; WSG did not change much between censuses in mature forests and did not contribute to the change in AGB stocks. Our forest increased its standing biomass, but far less than the average reported for other Amazonian forests (i.e. 0.30 vs. 0.98 Mg ha−1 y−1). We find no evidence to support the notion that this forest is recovering from long-past human intervention. Instead of a long-term recovery, we believe the forest changed in response to natural fluctuations of the environment (e.g. changes in precipitation, higher CO2), windstorms or other more recent events. The significant differences in AGB stocks between valley and ridge suggest that the terra firme forests are a mosaic of natural habitats, and that this mosaic is in part responsible for the variation in biomass stocks detected in Amazonian terra firme forests.Resumen: La biomasa aérea de la mayoría de los bosques amazónicos está incrementando. Una hipótesis es que los bosques están respondiendo a un disturbio humano intenso y ampliamente distribuido, anterior a la llegada de los conquistadores europeos (>500 años atrás). En este estudio se confronta esta hipótesis con los cambios en biomasa encontrados en 6.3 años en una parcela de gran escala de la Amazonia occidental (>150.000 arbustos y árboles con diámetro a la altura del pecho ≥10 mm y 1100 especies en 25 ha). Los resultados se examinan por categorías de diámetro y hábitat. En este período el bosque perdió tallos pequeños (4.6%), ganó árboles grandes (2.6%) y ganó biomasa (0.7%). La ganancia en biomasa fue debida enteramente al incremento de árboles de gran tamaño que significó más árboles de dosel y menos juveniles en apenas 6 años. Entre los hábitats, el mayor incremento en biomasa se encontró en un parche de bosque secundario de colina (3.4%/año), cuya edad es de 27 años, mientras el bosque maduro de las colinas y los valles incrementó escasamente (0.10% y 0.09%/año, respectivamente). Tanto al inicio como al final del estudio, el stock de biomasa fue >50% más grande en la colina que en el valle mientras que el crecimiento y la mortalidad relativa fueron mayores en el valle. La media de la gravedad específica de la madera (GEM) fue menor a mayor clase diamétrica; en el bosque maduro, el cambio en la GEM fue insignificante y no contribuyó al aumento en stocks de biomasa. El bosque incrementó la biomasa aérea pero mucho menos que el promedio reportado para otros bosques amazónicos (i.e. 0.30 vs. 0.98 Mg ha−1/año). No se encontró evidencia que apoye la noción de que el bosque se está recuperando de un disturbio de gran escala ocurrido en el pasado. En su lugar, se cree que el bosque cambió en respuesta a fluctuaciones naturales del ambiente (e.g. cambios en precipitación, mayor concentración de CO2), vendavales u otro tipo de eventos más recientes. La diferencia significativa en los stocks de biomasa encontrada entre el valle y la colina sugiere que la tierra firme es un mosaico de hábitats naturales y que este mosaico podría explicar en parte la variación encontrada en los stocks de biomasa de bosques amazónicos de tierra firme.
28
Abiem, Iveren, Gabriel Arellano, David Kenfack, and Hazel Chapman. "Afromontane Forest Diversity and the Role of Grassland-Forest Transition in Tree Species Distribution." Diversity 12, no. 1 (2020): 30. http://dx.doi.org/10.3390/d12010030.
Full textAbstract:
Local factors can play an important role in defining tree species distributions in species rich tropical forests. To what extent the same applies to relatively small, species poor West African montane forests is unknown. Here, forests survive in a grassland matrix and fire has played a key role in their spatial and temporal dynamics since the Miocene. To what extent these dynamics influence local species distributions, as compared with other environmental variables such as altitude and moisture remain unknown. Here, we use data from the 20.28 ha montane forest plot in Ngel Nyaki Forest Reserve, South-East Nigeria to explore these questions. The plot features a gradient from grassland to core forest, with significant edges. Within the plot, we determined tree stand structure and species diversity and identified all trees ≥1 cm in diameter. We recorded species guild (pioneer vs. shade tolerant), seed size, and dispersal mode. We analyzed and identified to what extent species showed a preference for forest edges/grasslands or core forest. Similarly, we looked for associations with elevation, distance to streams and forest versus grassland. We recorded 41,031 individuals belonging to 105 morphospecies in 87 genera and 47 families. Around 40% of all tree species, and 50% of the abundant species, showed a clear preference for either the edge/grassland habitat or the forest core. However, we found no obvious association between species guild, seed size or dispersal mode, and distance to edge, so what leads to this sorting remains unclear. Few species distributions were influenced by distance to streams or altitude.
29
Koppad, A. G., Gowri B. Gowda, Rachana, and Anup Das. "Assessment of Forest Composition, Structure and Biomass Dynamics Using Permanent Plot Inventories in Yellapur Forest Division, India." International Journal of Environment and Climate Change 14, no. 12 (2024): 342–59. https://doi.org/10.9734/ijecc/2024/v14i124630.
Full textAbstract:
This study assesses the forest composition, structure and biomass dynamics in the Yellapur Forest Division using permanent plot inventories. Located in the Western Ghats of Karnataka, the Yellapur region features diverse forest types, including tropical dry deciduous and semi-evergreen forests. Permanent plots were established to evaluate tree species distribution, structural attributes and biomass dynamics. The volume and biomass were calculated based on species-specific allometric equations. Results revealed significant differences in forest structure across forest types. Tropical dry deciduous forests exhibited lower tree density (250 trees per hectare) and biomass (55 tons per hectare) compared to semi-evergreen forests, which had higher tree density (350 trees per hectare) and biomass (95 tons per hectare). Biomass volume in the tropical dry deciduous forests was reduced by 15-18 percent in areas impacted by anthropogenic activities such as logging and grazing. The semi-evergreen forests showed a higher carbon stock, with biomass volume accounting for 140 tons per hectare, while tropical dry deciduous forests had a reduced biomass volume of 110 tons per hectare. Species composition in semi-evergreen forests was dominated by Shorea robusta, Terminalia arjuna and Tectona grandis, while tropical dry deciduous forests were characterized by species such as Ziziphus mauritiana and Anogeissus latifolia. The study also highlighted a significant decline in biomass in degraded areas, emphasizing the impact of human-induced disturbances on carbon sequestration. The results suggest that degradation has led to a 12-15 percent reduction in forest biomass volume, with substantial implications for carbon storage and forest health. This research underscores the importance of permanent plot inventories for understanding biomass dynamics and highlights the need for effective forest management strategies to mitigate degradation and enhance carbon storage in these ecosystems.
30
Jose, Karun, Nasla Najeeb, Kshitija Suryawanshi, S. Suresh Hebbalalu, Navendu Page, and Rajiv Kumar Chaturvedi. "Woody species diversity, structure, and carbon stock in a tropical semi-evergreen forest in Western Ghats, India." Environmental Research Communications 7, no. 4 (2025): 045027. https://doi.org/10.1088/2515-7620/adcdd0.
Full textAbstract:
Abstract The Western Ghats in India is one of the eight hottest hotspots of biodiversity in the World. Despite its extensive forest cover and rich biodiversity, the region hosts only nine long-term forest monitoring sites, primarily located in evergreen (8) and deciduous (1) forest types. Notably, tropical semi-evergreen forests (TSEF), a critical forest type in the Western Ghats, remain underrepresented in these monitoring efforts. To bridge this gap, we established a 1-hectare LTM plot in the TSEF of the central Western Ghats (Netravali plot) following the Centre for Tropical Forest Science (CTFS) protocol. All woody species with a diameter at breast height (DBH) ≥1 cm were identified, measured, and tagged within the plot, and soil samples were analyzed for organic carbon content. A total of 84 species, including 11 species endemic to the Western Ghats, were recorded within the 1 ha plot, which is on the higher side of global species richness estimates. Tree density was 5,395 individuals/ha, with 866 adult trees contributing a basal area of 33.6 m2 ha−1, exceeding the pantropical average of 32 m2 ha−1. The forest plot exhibited an aboveground biomass (AGB) of 289.4 Mg ha−1 and a total carbon stock of 241.75 MgC ha−1, well within the range of global TSEF estimates. SOC was estimated to be 79.4 MgC ha−1, consistent with Asian tropical forest estimates. The forest plot exhibited an inverted J-curve regeneration pattern, indicating a good overall regeneration, although several species, including one endemic, showed poor or no regeneration, necessitating targeted monitoring and conservation efforts. This study highlights the critical need to establish additional LTM sites across diverse ecosystems to support habitat conservation and safeguard biodiversity effectively.
31
Windarni, Cahyaning, Agus Setiawan, and Rusita Rusita. "Carbon Stock Estimation of Mangrove Forest in Village Margasari Sub-District Labuhan Maringgai District East Lampung." Jurnal Sylva Lestari 6, no. 1 (2018): 66. http://dx.doi.org/10.23960/jsl1667-75.
Full textAbstract:
Increasing CO2 in the atmosphere and decreasing amount of forest as absorb CO2are factors which was the underlying repercussion of climate change. One of solutions for decreasing CO2 concentration through the forest vegetation’s development and emendation. Mangrove forest estimated that effectively absorb carbon through photosynthesis. The purpose of the studyis to estimate the stand and litter carbon stock of mangrove forest. The research used line transectmethod. The first line and plot determined randomly then the next lineand plots was sistematically. The observation plots had measurement with amount of 20m x 20m with spacing between plot in line 20 m with total 20 plots. Each plot was measured diameter just ≥ 5 cm. Each plot made observations litter sub plots with amount of 0,5 m x 0,5 m. Carbon estimation of stand biomass using allometric equations B = 0,1848D2.3624 and litter biomass using total dry weight. Carbon concentration of organic material typically contains around 46% thus multiplying the biomass by 46%. The average biomass of mangrove forests amounted to 431,78 tons/ha. Carbon estimated of mangrove stand was 197,36 ton/ha and litter carbon was 1,25 ton/ha, based on the research total of carbon mangrove forest was198,61 ton/ha. Keywords:carbon above ground,line transect, mangrove forest
32
Rochmah, Siti Fauzia, Rahmat Safe’i, Afif Bintoro, and Hari Kaskoyo. "ANALISIS PRODUKTIVITAS SEBAGAI SALAH SATU INDIKATOR KESEHATAN HUTAN (Studi Kasus Pada Hutan Rakyat Jati di Kecamatan Natar Kabupaten Lampung Selatan Provinsi Lampung)." JURNAL HUTAN PULAU-PULAU KECIL 4, no. 2 (2020): 204–15. http://dx.doi.org/10.30598/jhppk.2020.4.2.204.
Full textAbstract:
Currently, community forests are increasingly showing an important role in meeting the timber demand for the timber industry. This can be seen from the log production which continues to decline every year. The reduced supply of wood from natural and plantation forests is one of the reasons why community forests are used as an alternative to meet the demand for industrial wood raw materials. This study aims to determine the parameter value of productivity indicators and health status of jati community forests in Natar District. To achieve this, the stages include: determining the number of plot calculators, making FHM plot clusters in teak community forests, collecting data and analyzing productivity data and the final forest health value. The results of this study indicate that jati community forests in Natar District, South Lampung Regency have good forest health values based on productivity indicators. This will affect the management of community forests in the future with the main function of forests, namely production. By knowing the productivity value and health condition of the forest, managers can make appropriate forest management decisions.
33
Pielech, Remigiusz, Kacper Foremnik, Bartłomiej Surmacz, Marek Malicki, Adrian Wysocki, and Zbigniew Maciejewski. "Wpływ naturalnych zaburzeń na strukturę drzewostanów na przykładzie Roztoczańskiego Parku Narodowego." Prądnik. Prace i Materiały Muzeum im. Prof. Władysława Szafera 33 (December 22, 2023): 63–78. https://doi.org/10.5281/zenodo.10424200.
Full textAbstract:
We examined the influence of windthrows on seminatural forest ecosystems in Roztocze National Park, SE Poland. The study was conducted on three 0.5-ha permanent plots, of which two were subject to intensive natural disturbances, one in 1989 and the other in 2008. The third was an undisturbed control plot. We aimed to address the following questions: 1) Do large-scale intense disturbances and the time elapsed since their occurrence affect tree diversity and spatial patterns?; 2) What is the effect of windthrows on forest stand structure?The number of tree species and mingling index were higher in the plot disturbed more recently. Both disturbed plots had lower diversity and evenness than the control plot. The basal area was the lowest in the more recently disturbed plot and the highest in the undisturbed plot. The undisturbed control plot was characterized by regular distribution of trees, which is typical of managed planted forests. In contrast, the disturbed plots had a random distribution of trees, which is typical of most natural forests. Our research demonstrated that natural ecological disturbances such as windthrows aid naturalization of forests that had been established in the past as regularly distributed tree plantations and then maintained as regular managed forests
34
Myster, Randall. "Effects of Soil Type on Floristics and Stand Structure in Amazon Unflooded Forests." Journal of Plant Studies 7, no. 2 (2018): 20. http://dx.doi.org/10.5539/jps.v7n2p20.
Full textAbstract:
The importance of unflooded forests in the Amazon and the need to investigate how their soils affect their floristics and stand structure, lead me to set up and sampled trees in four plots in terra firme forest, in white sand forest and in palm forest at the same site in the Peruvian Amazon. I found (1) the white sand forest plot had 15 families with Clusiaceae, Malvaceae and Myrtaceae the most common and Pachira brevipes the most common species, (2) the palm forest plot had 6 families with Arecaceae, Clusiaceae and Fabaceae the most common and Socratea exorrhiza the most common species, and (3) the terra firme forest plot had 47 families with Myristicacea, Fabaceae and Bombacace the most common and Otoba parvifolia and Astrocaryum murumura the most common species. For the stand structure of these forests, (1) terra firme had more stems and larger stems than white sand and palm, and while palm had more stems than white sand, white sand had larger stems than palm, (2) species richness was greatest in terra firme and decreased by a factor of three in white sand, and by a factor of five in palm, (3) basal area decreased from terra firme to white sand, but white sand and palm were comparable, (4) white sand had the greatest above-ground biomass, followed by terra firme and palm, and (5) white sand and palm were much more open forests than terra firme. Results strongly suggest that soils are a significant causal factor in determining floristic and structural differences among these Amazon forests, where the richer soil of terra firme forest helps produce both more structure and a richer floristics compared to the poor soil of palm forests and the even poorer soil of white sand forests.
35
Michopoulos, Panagiotis, Marios Kostakis, Panagiotis Koulelis, et al. "Cycling and status of boron in two forest types in Greece." Annals of Forest Research 66, no. 1 (2023): 113–22. http://dx.doi.org/10.15287/afr.2023.2940.
Full textAbstract:
The status and cycling of boron (B) were examined in two forest types in Greece, a maquis and a mountainous fir forest. In the hydrological cycle, in both forest types, the B concentration in the bulk deposition was significantly lower than that in throughfall implying dry deposition. It was also shown that some long-range transfer of B took place in the atmosphere above both forests. The total B in soils was higher in the maquis forest reflecting the chemical composition of the parent material but also the proximity of the maquis forest to the sea. Likewise, the B concentration in the holm oak leaves in the maquis forest was higher than that in the fir needles. These facts affected the B concentrations in the soil solution and fluxes in the hydrological cycle and litterfall of both forests. In soils, the available B correlated significantly with the organic carbon and the ratio of C/N in both forests but not with the total B. The residence time of B in the forest floor was lower in the maquis plot, which means faster cycling. The low temperatures in the mountain fir plot contributed to this fact.
36
Molto, Q., B. Hérault, J. J. Boreux, M. Daullet, A. Rousteau, and V. Rossi. "Predicting tree heights for biomass estimates in tropical forests." Biogeosciences Discussions 10, no. 5 (2013): 8611–35. http://dx.doi.org/10.5194/bgd-10-8611-2013.
Full textAbstract:
Abstract. The recent development of REDD+ mechanisms require reliable estimation of carbon stocks, especially in tropical forests that are particularly threatened by global changes. Even if tree height is a crucial variable to compute the above-ground forest biomass, tree heights are rarely measured in large-scale forest census because it requires consequent extra-effort. Tree height have thus to be predicted thanks to height models. Height and diameter of all trees above 10 cm of diameter were measured in thirty-three half-ha plots and nine one-ha plots throughout the northern French Guiana, an area with substantial climate and environmental gradients. We compared four different model shapes and found that the Michaelis–Menten shape was the most appropriate for the tree biomass prediction. Model parameters values were significantly different from one forest plot to another and neglecting these differences would lead to large errors in biomass estimates. Variables from the forest stand structure explained a sufficient part of the plot-to-plot variations of the height model parameters to affect the AGB predictions. In the forest stands dominated by small trees, the trees were found to have rapid height growth for small diameters. In forest stands dominated by larger trees, the trees were found to have the greatest heights for large diameters. The above-ground biomass estimation uncertainty of the forest plots was reduced by the use of the forest structure-based height model. It demonstrates the feasibility and the importance of height modeling in tropical forest for carbon mapping. Tree height is definitely an important variable for AGB estimations. When the tree heights are not measured in an inventory, they can be predicted with a height-diameter model. This model can account for plot-to plot variations in height-diameter relationship thank to variables describing the plots. The variables describing the stand structure of the plots are efficient for this. We found that variables describing the plot environment (rainfall, topography,...) do not improve the model much.
37
Bunyavejchewin, Sarayudh, Aroon Sinbumroong, Benjamin L. Turner, and Stuart J. Davies. "Natural disturbance and soils drive diversity and dynamics of seasonal dipterocarp forest in Southern Thailand." Journal of Tropical Ecology 35, no. 03 (2019): 95–107. http://dx.doi.org/10.1017/s0266467419000075.
Full textAbstract:
AbstractIn 2000, we established a 24-ha plot in Peninsular Thailand to investigate how forest composition, structure and dynamics vary with spatial heterogeneity in resource availability. Detailed soil and topographic surveys were used to describe four edaphic habitats in the plot. Disturbance history was inferred from historical records and floristic analysis. The plot included &gt;119 000 trees ≥1 cm dbh in 578 species, and was recensused in 2010. Species distributions, floristic turnover, stand structure, demographic rates and biomass dynamics were strongly influenced by heterogeneity in soils, topography and disturbance history. Over 75% of species were aggregated on specific edaphic habitats leading to strong compositional turnover across the plot. Soil chemistry more strongly affected species turnover than topography. Forest with high biomass and slow dynamics occurred on well-drained, low fertility ridges. The distribution and size structure of pioneer species reflected habitat-specific differences in disturbance history. Overall, above-ground biomass (AGB) increased by 0.64 Mg ha−1 y−1, from 385 to 392 Mg ha−1, an increase that was entirely attributable to recovery after natural disturbance. Forest composition and stand structure, by reflecting local disturbance history, provide insights into the likely drivers of AGB change in forests. Predicting future changes in tropical forests requires improved understanding of how soils and disturbance regulate forest dynamics.
38
Nadkarni, Nalini M., Teri J. Matelson, and William A. Haber. "Structural characteristics and floristic composition of a Neotropical cloud forest, Monteverde, Costa Rica." Journal of Tropical Ecology 11, no. 4 (1995): 481–95. http://dx.doi.org/10.1017/s0266467400009020.
Full textAbstract:
ABSTRACTThe Monteverde Cloud Forest Reserve protects a variety of primary montane forest communities on volcanic parent materials. We describe the structure and composition of the forest to provide background information for epiphyte and nutrient cycling studies and for comparison with other tropical montane forests. In a 4-ha study plot in leeward cloud forest, density of stems (2062 individuals ha−1 for stems >2 cm dbh, 555 individuals ha−1 for stems > 10cm dbh) and stem basal area (73.8 m2 ha−1 for stems >2 cm, 62.0 m2 ha−1 for stems >10 cm dbh) were high relative to other montane forests. Stems in a subset of the plot (c. 1/3 of the area) were identified and assigned to 47 families, 83 genera and 114 species, which is rich compared with other montane forests. Large stems had a higher spatial variability of structural and floristic characteristics than small stems.
39
Yu, Kailiang, William K. Smith, Anna T. Trugman, et al. "Pervasive decreases in living vegetation carbon turnover time across forest climate zones." Proceedings of the National Academy of Sciences 116, no. 49 (2019): 24662–67. http://dx.doi.org/10.1073/pnas.1821387116.
Full textAbstract:
Forests play a major role in the global carbon cycle. Previous studies on the capacity of forests to sequester atmospheric CO2 have mostly focused on carbon uptake, but the roles of carbon turnover time and its spatiotemporal changes remain poorly understood. Here, we used long-term inventory data (1955 to 2018) from 695 mature forest plots to quantify temporal trends in living vegetation carbon turnover time across tropical, temperate, and cold climate zones, and compared plot data to 8 Earth system models (ESMs). Long-term plots consistently showed decreases in living vegetation carbon turnover time, likely driven by increased tree mortality across all major climate zones. Changes in living vegetation carbon turnover time were negatively correlated with CO2 enrichment in both forest plot data and ESM simulations. However, plot-based correlations between living vegetation carbon turnover time and climate drivers such as precipitation and temperature diverged from those of ESM simulations. Our analyses suggest that forest carbon sinks are likely to be constrained by a decrease in living vegetation carbon turnover time, and accurate projections of forest carbon sink dynamics will require an improved representation of tree mortality processes and their sensitivity to climate in ESMs.
40
Gan, Yi, Quan Wang, and Guangman Song. "Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs." Remote Sensing 16, no. 4 (2024): 697. http://dx.doi.org/10.3390/rs16040697.
Full textAbstract:
Timely acquisition of forest structure is crucial for understanding the dynamics of ecosystem functions. Despite the fact that the combination of different quantitative structure models (QSMs) and point cloud sources (ALS and DAP) has shown great potential to characterize tree structure, few studies have addressed their pros and cons in alpine temperate deciduous forests. In this study, different point clouds from UAV-mounted LiDAR and DAP under leaf-off conditions were first processed into individual tree point clouds, and then explicit 3D tree models of the forest were reconstructed using the TreeQSM and AdQSM methods. Structural metrics obtained from the two QSMs were evaluated based on terrestrial LiDAR (TLS)-based surveys. The results showed that ALS-based predictions of forest structure outperformed DAP-based predictions at both plot and tree levels. TreeQSM performed with comparable accuracy to AdQSM for estimating tree height, regardless of ALS (plot level: 0.93 vs. 0.94; tree level: 0.92 vs. 0.92) and DAP (plot level: 0.86 vs. 0.86; tree level: 0.89 vs. 0.90) point clouds. These results provide a robust and efficient workflow that takes advantage of UAV monitoring for estimating forest structural metrics and suggest the effectiveness of LiDAR in temperate deciduous forests.
41
Hernández-Stefanoni, José, Gabriela Reyes-Palomeque, Miguel Castillo-Santiago, et al. "Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests." Remote Sensing 10, no. 10 (2018): 1586. http://dx.doi.org/10.3390/rs10101586.
Full textAbstract:
Accurate estimates of above ground biomass (AGB) are needed for monitoring carbon in tropical forests. LiDAR data can provide precise AGB estimations because it can capture the horizontal and vertical structure of vegetation. However, the accuracy of AGB estimations from LiDAR is affected by a co-registration error between LiDAR data and field plots resulting in spatial discrepancies between LiDAR and field plot data. Here, we evaluated the impacts of plot location error and plot size on the accuracy of AGB estimations predicted from LiDAR data in two types of tropical dry forests in Yucatán, México. We sampled woody plants of three size classes in 29 nested plots (80 m2, 400 m2 and 1000 m2) in a semi-deciduous forest (Kiuic) and 28 plots in a semi-evergreen forest (FCP) and estimated AGB using local allometric equations. We calculated several LiDAR metrics from airborne data and used a Monte Carlo simulation approach to assess the influence of plot location errors (2 to 10 m) and plot size on ABG estimations from LiDAR using regression analysis. Our results showed that the precision of AGB estimations improved as plot size increased from 80 m2 to 1000 m2 (R2 = 0.33 to 0.75 and 0.23 to 0.67 for Kiuic and FCP respectively). We also found that increasing GPS location errors resulted in higher AGB estimation errors, especially in the smallest sample plots. In contrast, the largest plots showed consistently lower estimation errors that varied little with plot location error. We conclude that larger plots are less affected by co-registration error and vegetation conditions, highlighting the importance of selecting an appropriate plot size for field forest inventories used for estimating biomass.
42
Wati, F., and R. Safe’i. "Health analysis of mangrove forest based on vitality indicators (case study in Purworejo mangrove forest, Pasir Sakti District, East Lampung Regency)." IOP Conference Series: Earth and Environmental Science 1352, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1755-1315/1352/1/012015.
Full textAbstract:
Abstract Vitality indicators are characterized by tree damage and canopy condition. This condition has an impact on the health of mangrove forests, including the Purworejo mangrove forest. The aim of this research is to obtain the value and health status of the Purworejo mangrove forest in Pasir Sakti District, East Lampung Regency, based on vitality indicators. In terms of collecting and analyzing vitality indicator data, the Forest Health Monitoring (FHM) method is used based on tree damage parameters and canopy cover conditions. Sample plot clusters were made into four clusters, or 16 plots, at four points with an area of 0.4 ha per cluster. The research results showed that the tree damage value at the cluster plot level (CLI) was 1.08–1.23. The cluster plot level canopy condition value (VCR) was 2.82–3.32. Thus, the average health value of the Purworejo mangrove forest is 1.88, with a medium status category (1.63-2.31). Mangrove forest management must be improved, especially in maintenance activities, to overcome pest problems that cause damage to mangrove trees.
43
Juwari, Daddy Ruhiyat, and Marlon Ivanhoe Aipassa. "Growth Analysis of Rhizophora Mucronata Mangrove in Ngurah Rai Forest Park (Sanur) Bali Province, Indonesia." Energy and Environment Research 10, no. 1 (2020): 30. http://dx.doi.org/10.5539/eer.v10n1p30.
Full textAbstract:
Mangrove forests were a typical type of tropical and subtropical forest, growing along beaches or river mouths that were affected by tides. Mangroves were often found in coastal areas that were protected from the onslaught of waves and sloping areas. Mangrove forest ecosystems had the function of absorbing carbon dioxide (CO2) from the air and storing carbon in the form of biomass. This research was conducted in September 2017. This study aimed to determine the growth, carbon stocks and biomass in mangrove forests in the area of Taman Hutan Raya Ngurah Rai (Sanur) Denpasar. Making research plots used the transect method with a size of 20 meters x 50 meters as many as 3 plots along the coast. From the measurement results, the total value of the base area in plot A was 2.37 m2 / tree, branch-free volume was 16.57 m3 / tree, biomass was 13,591 tons / plot, carbon stock was 6,795 tons / plot, the average increment was 0, 29 cm / year / tree. While the results of the measurement of the total value of the base area in plot B was 13.20 m2 / tree, branch-free volume of 14.87 m3 / tree, biomass of 8,420 tons / plot, carbon stock of 4,210 tons / plot, average increment amounting to 0.39 cm / year / tree. Furthermore, the total value of the base area in plot C was 12.96 m2 / tree, branch-free volume was 14.83 m3 / tree, biomass was 8,265 tons / plot, carbon stock was 4,132 tons / plot, the average increment was 0, 40 cm / year / tree. The salinity value of plot A = 0.10% with a pH of 6.68, plot B = 0.09% with a pH of 6.78 and plot C = 0.08% with a pH of 6.78. Based on the calculation results, it could be concluded that the total biomass value of plot A = 13,592 tons / plot, plot B = 14,866 tons / plot and plot C = 8,265 on / plot and then carbon stock plot A = 6,796 tons / plot, plot B = 8,420 tons / plot and plot C = 4.133 tons / plot. The average increment per tree obtained values for plot A = 0.29 cm / tree / year, plot B = 0.39 cm / tree / year and plot C = 0.40 cm / tree / year.
44
Taiwo, D. M., S. I. Udoh, S. O. Olaoti-Laaro, O. R. Jeminiwa, and M. S. Jeminiwa. "Assessment of species diversity and distribution of woody species on selected plots in Olokemeji Forest Reserve, Ogun State, Nigeria." Ife Journal of Science 22, no. 3 (2021): 43–50. http://dx.doi.org/10.4314/ijs.v22i3.3.
Full textAbstract:
The Assessment of forest species composition and species diversity is essential in understanding the status of tree population and diversity for conservation purpose. Olokemeji forest reserve is situated in the lowland rain forest of south-western Nigeria and it occupies a total land area of 58.88 km2 . Six study plots of 50m2 each were randomly selected and designated as Frequently Burnt Plot 1, Frequently Burnt Plot 2, Harvested Plot, Unharvested Unburnt Plot, Arable Plot 1 and Arable Plot 2 for the purpose of assessment of species diversity and distribution of woody species. Seven species of trees were identified belonging to five families. One hundred and eighty two stands were enumerated, with Unharvested Unburnt Plot having the highest number of trees at 50. The dominance index for the woody flora was 1 in Frequently Burnt Plot 1 and 2 as well as Arable Plot 1 and 2 except for the Harvested Plot that had the lowest (0.29) while the Unharvested Unburnt Plot had 0.75. Highest species richness was recorded at the Harvested Plot at 0.71. The species diversity in Harvested Plot was low (1.54), while it was extremely low in Unharvested Unburnt Plot (0.43). Evenness index was lowest in the Unharvested Unburnt Plot at 0.43. Tectona grandis had the highest relative importance value in the Frequently Burnt Plot 1. The low species richness and species diversity is a direct indication of anthropogenic interference in the study plots and the forest reserve; this requires urgent mitigation to prevent a total loss of its structure and function as expected of a forest reserve.
 Keywords: Species, Diversity, Evenness, Anthropogenic, Forest, Dynamics
45
Lovett, Jon C. "Tanzanian forest tree plot diversity and elevation." Journal of Tropical Ecology 15, no. 5 (1999): 689–94. http://dx.doi.org/10.1017/s0266467499001108.
Full textAbstract:
Observed variation in species richness on ecological gradients and between regions has attracted several different explanations. Climatic factors, such as energy availability, precipitation and mean annual temperature, are frequently cited to explain differences in species richness (Wright et al. 1993). The relative amount of variation in these variables may be of importance as well as absolute values (Stevens 1989, 1992). Alternatively, the history of colonization and extirpation have been used to explain regional variation in diversity (Guo et al. 1998; Latham & Ricklefs 1993a, b). Area is an important factor, for example on an elevational gradient the tops of mountains are not only cooler than the bottoms, but they are also much smaller (Rahbek 1997).
46
Stephenson, John. "Explaining the forest plot in meta-analyses." Journal of Wound Care 26, no. 11 (2017): 611–12. http://dx.doi.org/10.12968/jowc.2017.26.11.611.
Full text
47
Shyshkanynets, Ivan, Andriy Zadorozhnyy, Ludvig Potish, and Andrii Mihaly. "The state and structure of beech primaeval forests in the “Zacharovanyi Krai” National Nature Park." Ukrainian Journal of Forest and Wood Science 15, no. 3 (2024): 8–24. http://dx.doi.org/10.31548/forest/3.2024.08.
Full textAbstract:
The relevance of the study is determined by the need to preserve natural values, which are considered the heritage of all mankind, namely the primaeval forests and old-growth beech forests of the UNESCO World Natural Heritage. The aim of the research was to study the state and structure of the beech primaeval forest in the national nature park “Zacharovanyi Krai”. For the study, a permanent sample plot of 1 ha (100×100 m) was laid down in the prevailing forest type – moist pure beech forest. This plot is located in the optimal forest-growing conditions for European beech (Fagus sylvatica L.) within the Vyhorlat-Hutyn volcanic ridge of the Ukrainian Carpathians. It was found that the beech forest stand on the plot is pure in composition and complex in form, characterised by different development phases (age groups by diameter): the first layer stand belongs to the mature age group (senile), the second layer – to the middle-aged group, and the third – to the pole (virginal). It was determined that 95% of the primaeval forest stock is the stock of the first layer, while the share of commercial trees of the first layer is 89% (66% of the total volume of stem wood of trees on the permanent sample plot). The main types of damage in the site are caused by abiotic factors. As a result of such damage, 43 m3‧ha-1 of deadwood was recorded, characterised by all 5 stages of decomposition. Under the canopy of the stand, 10,375 pcs‧ha-1 of undergrowth was recorded, of which the share of beech is 88%. Beech undergrowth is weakly differentiated by age groups: it was recorded only in the group of 7-year-olds and older and well-differentiated by height groups. By age group, undergrowth belongs to the juvenile-immature age state. The herbaceous cover is typical for nemoral forests. The presence of stationary research plots in the National Nature Park “Zakharovanyy Kray” makes it possible to constantly monitor the trends of natural development of the ecosystem – the beech primaeval forest
48
Rahmat Safe’i, Christine Wulandari, and Hari Kaskoyo. "Analisis Kesehatan Hutan dalam Pengelolaan Hutan Rakyat Pola Tanam Agroforestri di Wilayah Kabupaten Lampung Timur." Talenta Conference Series: Agricultural and Natural Resources (ANR) 2, no. 1 (2019): 97–103. http://dx.doi.org/10.32734/anr.v2i1.579.
Full textAbstract:
Hutan rakyat dengan pola tanam agroforestri memiliki pengaruh terhadap aspek ekologi, seperti: udara bersih, erosi terkendali, serapan karbon, pengaturan tata air, penyangga ekosistem, penjaga stabilitas ekologi, dan perlindungan lingkungan. Oleh karena itu, dalam pengelolaan hutan rakyat pola tanam agroforestri masa kini dan masa depan harus dapat memperhatikan kaidah-kaidah lingkungan. Untuk mewujudkan hal tersebut, maka hutan rakyat pola tanam agroforestri harus sehat. Penelitian ini bertujuan untuk mendapatkan nilai status (saat ini) kesehatan hutan rakyat pola tanam agroforestri di wilayah Kabupaten Lampung Timur. Studi kasus analisis kesehatan hutan dilakukan pada klaster-plot Forest Health Monitoring (FHM) hutan rakyat pola tanam agroforestri di Wilayah Kabupaten Lampung Timur. Jumlah klaster-plot FHM yang dibuat sebanyak empat klaster-plot. Parameter indikator kesehatan hutan rakyat pola tanam agroforestri adalah pertumbuhan pohon, kondisi kerusakan pohon, kondisi tajuk, dan kesuburan tanah. Tahapan dari penelitian ini terdiri dari pembuatan plot ukur hutan rakyat pola tanam agroforestri, pengukuran parameter indikator kesehatan hutan rakyat pola tanam agroforestri, pengolahan dan analisis, dan penilaian kesehatan hutan rakyat pola tanam agroforestri. Hasil penelitian menunjukkan bahwa nilai status kondisi kesehatan hutan rakyat pola tanam agroforestri di wilayah Kabupaten Lampung Timur rata-rata dalam kategori bagus. Hal tersebut menunjukkan bahwa hutan rakyat dengan pola tanam agroforestri akan menghasilkan tingkat kesehatan hutan rakyat yang sehat. Dengan demikian, pembangunan hutan rakyat di wilayah Kabupaten Lampung Timur Provinsi Lampung diarahkan dengan pola tanam agroforestri.
 
 Community forests with agroforestry planting systems have an influence on ecological aspects, such as: clean air, controlled erosion, carbon uptake, water management arrangements, ecosystems buffer, guarding ecological stability, and environmental protection. Therefore, in the management of community forests the present and future agroforestry planting systems must be able to pay attention to environmental principles. To realize this, the community forest agroforestry planting patterns must be healthy. This study aims to obtain the status of (current) health of community forests agroforestry planting systems in the area of East Lampung Regency. A case study of forest health analysis were carried out in Forest Health Monitoring (FHM) plots of community forests agroforestry planting systems in the East Lampung Regency. The number of FHM plots was made in four clusters. Parameters of indicators of community forest health agroforestry planting systems are tree growth, tree damage conditions, canopy conditions, and soil fertility. The stages of this study consisted of making a community forest measuring plot agroforestry planting systems, measuring indicators of community forest health agroforestry planting systems, processing and analysis, and assessing the health of community forests agroforestry planting systems. The results showed that the value of the status of public forest health conditions of agroforestry planting systems in the area of East Lampung Regency on average in good categories. This shows that community forests with agroforestry planting systems will produce healthy community forest health levels. Thus, community forests development in East Lampung Regency of Lampung Province is directed to agroforestry planting systems.
49
Molto, Q., B. Hérault, J. J. Boreux, M. Daullet, A. Rousteau, and V. Rossi. "Predicting tree heights for biomass estimates in tropical forests – a test from French Guiana." Biogeosciences 11, no. 12 (2014): 3121–30. http://dx.doi.org/10.5194/bg-11-3121-2014.
Full textAbstract:
Abstract. The recent development of REDD+ mechanisms requires reliable estimation of carbon stocks, especially in tropical forests that are particularly threatened by global changes. Even though tree height is a crucial variable for computing aboveground forest biomass (AGB), it is rarely measured in large-scale forest censuses because it requires extra effort. Therefore, tree height has to be predicted with height models. The height and diameter of all trees over 10 cm in diameter were measured in 33 half-hectare plots and 9 one-hectare plots throughout northern French Guiana, an area with substantial climate and environmental gradients. We compared four different model shapes and found that the Michaelis–Menten shape was most appropriate for the tree biomass prediction. Model parameter values were significantly different from one forest plot to another, and this leads to large errors in biomass estimates. Variables from the forest stand structure explained a sufficient part of plot-to-plot variations of the height model parameters to improve the quality of the AGB predictions. In the forest stands dominated by small trees, the trees were found to have rapid height growth for small diameters. In forest stands dominated by larger trees, the trees were found to have the greatest heights for large diameters. The aboveground biomass estimation uncertainty of the forest plots was reduced by the use of the forest structure-based height model. It demonstrated the feasibility and the importance of height modeling in tropical forests for carbon mapping. When the tree heights are not measured in an inventory, they can be predicted with a height–diameter model and incorporating forest structure descriptors may improve the predictions.
50
Bluffstone, Randall, Eswaran Somanathan, Prakash Jha, et al. "Collective Action and Carbon Sequestration in Nepal." Journal of Forest and Livelihood 13, no. 1 (2016): 1–7. http://dx.doi.org/10.3126/jfl.v13i1.15360.
Full textAbstract:
This paper uses forest plot measurements and information on forest collective action to estimate the effects of collective action on four measures of forest quality (e.g., carbon content, tree density, seedling density and canopy cover) in Nepal. Carbon sequestration is of special interest because it may be creditable under Reducing Emmission from Deforestation and Forest Degradation (REDD+). We find that community forest collective action sequesters carbon and appears to support several other forest quality measures. Even though registered community forests sequester more carbon than other forests, we find that non-registered community forests also show evidence of important collective action, with positive effects on forests.Journal of Forest and Livelihood 13(1) May, 2015, page : 1-7