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Journal articles on the topic "Intensive Forest Monitoring Station Britz"
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Natkhin, Marco, and Tanja Sanders. "Climate changes modulate deep seepage under forests – a long-term observation at a north-eastern German lysimeter site." ARPHA Conference Abstracts 8 (May 28, 2025): e150302. https://doi.org/10.3897/aca.8.e150302.
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Groundwater recharge is an important ecosystem function of forests. In regions with a negative climatic water balance it shows a distinct annual cycle: in summer, evapotranspiration exceeds the input by precipitation, in the winter, low evapotranspiration allows a rewetting of soils. In times with sufficient water supply, the water moves below the root zone as deep seepage and later becomes groundwater recharge.On our intensive forest monitoring station "Britz" (Germany) we measure deep seepage for various tree species and compositions with large scale lysimeters. Installed in the 1970s they each span a forested area of 100 m² and have a depth of 5 m. Over the last years extreme weather changed the deep seepage to previously unseen patterns. A drought, beginning in 2018, had such an impact that in 2019, for the first time, no annual deep infiltration was detected under the beech site, a site generally promoting deep infiltration (Fig. 1). In contrast to the drought, extreme rainfall occurred from 2018 to 2021 each summer . While this led to flooding in many regions of Germany, in the sandy lowlands it sometimes led to a considerable proportion of the total annual deep seepage under pine stands, which generally have little to no deep seepage. These unseen dynamics influence our understanding of deep seepage formation and have an impact on groundwater recharge in the north-eastern lowlands of Germany.
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Krause, Stuart, Tanja G. M. Sanders, Jan-Peter Mund, and Klaus Greve. "UAV-Based Photogrammetric Tree Height Measurement for Intensive Forest Monitoring." Remote Sensing 11, no. 7 (2019): 758. http://dx.doi.org/10.3390/rs11070758.
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The measurement of tree height has long been an important tree attribute for the purpose of calculating tree growth, volume, and biomass, which in turn deliver important ecological and economical information to decision makers. Tree height has traditionally been measured by indirect field-based techniques, however these methods are rarely contested. With recent advances in Unmanned Aerial Vehicle (UAV) remote sensing technologies, the possibility to acquire accurate tree heights semi-automatically has become a reality. In this study, photogrammetric and field-based tree height measurements of a Scots Pine stand were validated using destructive methods. The intensive forest monitoring site implemented for the study was configured with permanent ground control points (GCPs) measured with a Total Station (TS). Field-based tree height measurements resulted in a similar level of error to that of the photogrammetric measurements, with root mean square error (RMSE) values of 0.304 m (1.82%) and 0.34 m (2.07%), respectively (n = 34). A conflicting bias was, however, discovered where field measurements tended to overestimate tree heights and photogrammetric measurements were underestimated. The photogrammetric tree height measurements of all trees (n = 285) were validated against the field-based measurements and resulted in a RMSE of 0.479 m (2.78%). Additionally, two separate photogrammetric tree height datasets were compared (n = 251), and a very low amount of error was observed with a RMSE of 0.138 m (0.79%), suggesting a high potential for repeatability. This study shows that UAV photogrammetric tree height measurements are a viable option for intensive forest monitoring plots and that the possibility to acquire within-season tree growth measurements merits further study. Additionally, it was shown that negative and positive biases evident in field-based and UAV-based photogrammetric tree height measurements could potentially lead to misinterpretation of results when field-based measurements are used as validation.
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Hidayati, Eni, Dedi Syafikri, Muhammad Reza Ramdhani, and Nandita Pasya Salsabila. "Keanekaragaman Jenis dan Kerapatan Vegetasi Hutan Pantai di Selatan Pulau Sumbawa, Kecamatan Labangka, Kabupaten Sumbawa." JURNAL SAINS TEKNOLOGI & LINGKUNGAN 9, no. 2 (2023): 352–67. http://dx.doi.org/10.29303/jstl.v9i2.437.
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in Labangka Village in the South of Sumbawa Island is very important considering that this village is directly facing the Indian Ocean. In addition, the development of aquaculture in this village also requires knowledge of the vegetation that makes up the coastal forest so that appropriate management and monitoring activities can be planned. This study aims to identify the types of vegetation in coastal forest ecosystem in Labangka Village at four stations, namely in locations where super-intensive aquaculture will be built. The method used is the analysis of Importance Value Index and Normalized Differentiation Vegetation Index. The results of the study were as follows: Station 1 (27 species, dominated by Pongamia pinnata with an IVI of 185.64% for the tree level and IVI of 114.58% for the seedling level), Station 2 (9 species, dominated by P. pinnata INP of 214.16 % for the tree level and Leucaena leucocephala IVI 96.49% for the seedling level), Station 3 (18 species dominated by the pes-caprae formation type and shrubs, namely S. taccada, P. tectorius, and Heliotropium foertherianum), Station 4 (19 species dominated by shrubs namely S. taccada, Pandanus tectorius, and H. foertherianum and shrubs (L. camara and C. bonduc).The NDVI at observation stations ranged from -0.091 (sparse) to 0.543 (dense).
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Kaur, Puneet, Kiranbir Kaur, Kuldeep Singh, and SeongKi Kim. "Early Forest Fire Detection Using a Protocol for Energy-Efficient Clustering with Weighted-Based Optimization in Wireless Sensor Networks." Applied Sciences 13, no. 5 (2023): 3048. http://dx.doi.org/10.3390/app13053048.
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Wireless sensor networks (WSNs) have proven to be incredibly useful for forest applications that rely on sensing technologies for event detection and monitoring. This radical sensing technology has revolutionized data gathering, analysis, and application. Despite the many advantages of this technology, one key drawback is the rapid drain on sensor batteries caused by their intensive processing activities and communication processes. The effectiveness of sensor nodes is strongly influenced by two factors: the amount of energy they consume and the length of their coverage lifetimes. Using our proposed method, we can find fire zones in a forest, detect and monitor battlefield surveillance, combat monitoring and intruder detection, and then wirelessly send all the information to a central station. So, extending the life of WSNs is essential to ensure that Sensor Nodes (SN) will always be available. Our proposed EEWBP (energy-efficient weighted-based protocol) technique uses a composite weighted metric that includes system elements such as the node degree, residual energy, the number of neighbors’ nodes, average flying speed, and trust value, which are evaluated separately and then added together to help in cluster-building and node-scheduling processes. Our proposed protocol makes it easy to set up many clusters of SNs, each with their own cluster head (CH). This way, data can be sent between clusters in a way that uses the least amount of energy and makes coverage last longer. After putting our cluster-based routing strategy in place, we tested how it worked and evaluated it with different network parameters. The simulation results show that EEWBP consumes less energy and maintains a higher level of consistency in the CH than coverage preserving clustering protocol (CPCP), coverage clustering protocol (CACP), coverage aware unequal clustering algorithm (CUCA), and low-energy adaptive clustering hierarchy (LEACH). EEWBP also shows a better packet delivery rate and an improvement in first-node death.
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Havrylets, N. I., O. I. Mykychuk, and M. V. Kazantsev. "New perspective pear (Pirus communis L.) cultivars bred at the Prydnistrovska Research Station of Horticulture, IH NAAS of Ukraine." Horticulture: Interdepartment Subject Scientific Collection, no. 78 (2023): 37–40. http://dx.doi.org/10.35205/0558-1125-2023-78-37-40.
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Pear is a priority crop for Prykarpattia and Naddnistrianshchyny. This is facilitated by the natural and climatic conditions of the region. Therefore, at the Prydnistrovska Research Station of Horticulture, IH NAAS, the main directions of scientific work are the creation of new high-yielding varieties of autumn and winter ripening periods, which are characterized by high marketable fruit qualities, winter hardiness, resistance to major diseases and are well adapted to local growing conditions. As a result of many years of work of breeders of the station V.I. Saiko and L.F. Satina varieties of autumn, winter and late-winter ripening periods were obtained: ‘Bukovinka’, ‘Burshtynova’, ‘Zveniachynska’, ‘Krunpoplidna’, ‘Osin Bukovyny’, ‘Chernivchanka’, ‘Khotynchanka’, ‘Kucherianka’, ‘Storozhynetska’, ‘Yablunivska’. These varieties are grown in different regions of Ukraine. The article presents the results of breeding research on the breeding of new varieties and elite forms of pear selection at the research station. Namely, ‘Lastivka’, ‘Legenda of the Carpat’, ‘Saiva’ and hybrids 1-8-45/00, 2-14-22/05, which are characterized by a complex of economic and valuable traits. Varieties and hybrids of the intensive type, quick-fruiting, with high productivity potential and resistance to major diseases. Fruiting on the forest pear rootstock was early (third to fifth year after planting). The average yield for planting schemes of 4.5 x 3 m was 37.2 t/tree (27.5 t/ha). The fruits are characterized by high commercial and taste qualities (8.8-9.0 points) and an attractive appearance (the ‘Lastivka’ variety has a light blush, and the 2-14-22/05 hybrid has red fruits). The variety ‘Legenda of the Carpat’ stood out in terms of fruit size with an average weight of 323 g, the maximum – 408 g. Varieties and forms are characterized by resistance to scab (Venturia pirina), and ‘Legenda of the Carpat’ – to fruit rot (Monilia fructigena Pers.) and high resistance to bacteria (Erwinia amylovora Burill.). Key words: pear, hybrids, variety, selection, early fruiting, taste, stability, productivity.
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Bujanov, P. M. "Ecological problems of sandy area afforestation in the south of Ukraine." Ecology and Noospherology 25, no. 1-2 (2014): 92–100. http://dx.doi.org/10.15421/031409.
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The town of Oleshky, renamed as Tsiurupinsk in 1928, is located in the Kherson region of Ukraine, near the railway station Tsiurupinsk. The Nizhnyodniprovsky Research Station "Afforestation of sands and viticulture" is located here. The total area of forest fund in Kherson region is 221.7 thousand hectares. The percentage of forest land is 3.3 %. 45 thousand hectares of this area belong to Tiurupinsk forest. The tree composition involves 74 % of coniferous and 26 % of deciduous breeds. 62 % of Cherson forests were created by man. The pine forests on the Oleshkovsky (Nizhnyodniprovsky) sands were created in the middle of the XIX сentury. This was dictated by the urgent task of fixing the sands by the black storms, using the fertility of sands in forest managment and agriculture. Completely joining the authors of papers devoted Oleshkovsky sands, their afforestation, recreation, conservation and management of the southern pine forest complexes, we consider important to mention: in harsh growing conditions of pine trees it is extremely necessary to strive for a complex biogeocenological research, to a comprehensive in-depth knowledge of pine ecosystems, at which typological approach is obligatory not from the standpoint of common assessments of forest growth conditions, but using typological principles of Professor A. L. Belgard established for the conditions of geographical and often environmental inadequacy of forest to habitat conditions; the typology provides diversity of soil types of Oleshkovsky forest growth conditions where there are two variants of soils – with and without salinity, with different gradations of humidification – from very dry to wet soils; it is necessary to take into account the extent of the influence of planted forests on the environment, which depends primarily on the ecological forest structure, which refers to the light structure of the stands and the duration of their habitat transforming influence. Light structure, in its turn depends on the architectonics of the tree crowns forming part of the forest (Belgard, 1971); using the special equipment it is necessary to create or improve the network of hydrological monitoring wells covering all environmental profiles, catens and plots, to conduct large-scale monitoring studies of the cyclic and successional forms of dynamics of forest hydrology: groundwater level, the chemistry, radioecology, organic matter, biota and also flow direction of groundwater movement (hydraulically interconnected), their degree of contamination, sanitary toxicological and other features; to explore sandy soils for content and quality of humus to evaluate soil fertility (Orlov, 1981); to explore microclimatic regimes to identify critical data to the vitality of pine plantations; with all indicators of systematic characteristics of a pine (Pinus silvestris L.), it has about 100 species. In the culture of Ukraine there are about 35 species. But, as foresters observe, not every pine (Pinus silvestris L.). gives a good effect of growth and development in every kind of environmental ecotope. It is necessary to consider the differences between hereditary traits of burned 350 years old samples of the eternal pinewood in Samarsky forest and artificial pine plantations grown from seed material taken from a completely different habitat conditions. Oak acorns, collected in the floodplain of River Dniester and planted in the watershed of Gyrnetsovy forest in Moldavia, dieback at the age of 30 years, but oak acorns, collected in plakor conditions and landed next to the first, have high vitality, intensive growth and development. It is well known that the Scots pine (Pinus silvestris) and Cretaceous pine (Pinus cretacea) do not differ in systematics. But Scots pine planted on chalk mountains near Scots pine are different. The first pine does not give seed regeneration, and the second one has acquired the ability to reproduce itself easily on Cretaceous and to hоld on barren rock outcrops (Milkov, 1959); in the study of sandy habitats it is necessary to establish consort links in biogeocenoses, their horizontal and vertical structures, ecomorphic features of the forest, its age population type, and as a result - to establish the viability and sustainability of pine plantations to the conditions; finally, it should be emphasized that only a comprehensive and integrated approach to the study of forest ecosystems in the steppe (horizontal and vertical structure) can give a reliable information about the successfully constructed plantation, its stability and durability.
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Davydiuk, H. V., L. I. Shkarivska, I. I. Klymenko, N. I. Dovbash, M. A. Kushсhuk, and V. V. Hirnyk. "Features of mobile phosphorus accumulation under different systems of agriculture in agricultural landscapes." Agriculture and plant sciences: theory and practice, no. 1 (May 18, 2022): 24–33. http://dx.doi.org/10.54651/agri.2022.01.03.
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The aim of the article was to establish the features of the phosphorus regime of the soil under different systems of agriculture in the agricultural landscapes of the Right Bank and Left Bank Forest-Steppe in the cultivation of grain crops. The study used the method of agroecological monitoring and laboratory (methods of chemical, physico-chemical analysis using modern methods of atomic absorption spectrophotometry, flame photometry in accordance with the requirements of the quality management system, DSTU 3973-2000). The research was conducted in the right-bank Forest-Steppe on the basis of long-term experiments of departments: technologies of grain crops and technologies of legumes, cereals and oilseeds crops, located within the research fields of NSC «Institute of Agriculture NAAS» (Fastiv district of Kyiv region), and in the left-bank Forest-Steppe on the Panfil Research Station of NSC «IZ NAAN» in a stationary experiment of the department of crop change and agriculture on reclaimed lands for determining the impact of different systems of farming for growing cereals crop in crop rotations and permanent crops. Under the extensive system of agriculture on dark gray podzolic soil and typical chernozem, the development of degradation processes was noted, namely the negative impact on the content of mobile phosphorus compounds, regardless of the method of growing crops. Over more than 30 years of research, periodic application of ameliorants and annual incorporation of plant residues has led to a reduction of more than 1.5 times the amount of mobile phosphorus. The organic system of agriculture, which provided for the introduction of ameliorants and annual incorporation of plant residues at a dose equivalent to 5 t/ha of straw, increased the number of mobile phosphorus compounds by almost 21% compared to 1988 baseline (1988). The introduction of different options for intensive farming systems has increased the amount of mobile phosphorus compounds in the soil by 1.4-2.1 times compared to baseline, during the observation period, 1.4–2.1 times. The largest increase in their number, almost 2.1 times over 30 years, was observed in the variant with the introduction of N105,0P86,3K101,3 per 1 ha of crop rotation area (intensive № 2).
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Paull, David J., Andrew W. Claridge, and Simon C. Barry. "There's no accounting for taste: bait attractants and infrared digital cameras for detecting small to medium ground-dwelling mammals." Wildlife Research 38, no. 3 (2011): 188. http://dx.doi.org/10.1071/wr10203.
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Context Reliable information about the occurrence and distribution of threatened forest-dwelling mammals is critical for developing effective conservation plans. To optimise limited resources, advances need to be made to the toolkit available for detecting rare and cryptic fauna. Aims We trialled three bait attractants (peanut butter with oats, live mealworms and black truffle oil) in combination with infrared digital cameras to determine whether detection rates of forest-dwelling native mammals in south-eastern Australia were influenced by: (1) bait type; (2) previous visits by conspecifics; (3) previous visits by Rattus; and (4) duration of bait deployment. Methods Bait attractants were set at 40 camera stations in combination with odourless controls. Over two fortnight-long deployments, 1327 images were captured of 22 mammal and bird species. From these data, detailed statistical analyses were conducted of six mammal genera. Key results Peanut butter with oats was found to be a significantly better attractant than empty bait holders for Antechinus, Isoodon, Perameles and Rattus, but not for Potorous or Pseudocheirus. Truffle oil and mealworms were also significantly better attractants than the control for Rattus but not the other five genera. When Antechinus, Isoodon, Potorous or Rattus were detected at a bait station there was a significant likelihood they had been detected there during the previous 24 h. This was not the case for Perameles or Pseudocheirus. A prior visit by Rattus to a station had no significant influence on the detection probabilities of Antechinus, Isoodon, Perameles, Potorous and Pseudocheirus during the subsequent 24 h. Detection probabilities for Isoodon and Rattus declined significantly during the fortnight-long deployments but trends for the other genera were not significant. Conclusions Peanut butter with oats is an excellent general purpose bait for detecting small to medium-sized mammals. However, scope exists for using other baits to target species. For example, truffle oil baits may reduce by-catch of non-target Rattus in labour intensive cage trapping of bandicoots. Regardless of bait type, longer deployments are necessary to detect Perameles, Potorous or Pseudocheirus than Antechinus, Isoodon or Rattus. Implications Targeted detection of predominantly ground-dwelling mammals may be improved by better understanding the attraction of species to baits and required bait deployment times.
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Belyaev, A. I., B. V. Repnikov, A. V. Semenyutina, A. V. Solonkin та A. Sh Khuzhakhmetova. "Научное обоснование создания селекционно-семеноводческого центра древесных и сельскохозяйственных растений". World Ecology Journal, № 2() (15 червня 2020): 3–17. http://dx.doi.org/10.25726/worldjournals.pro/wej.2020.2.1.
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The Federal Scientific Center for Agroecology of the Russian Academy of Sciences (formerly the all-Russian research Institute of agroforestry) is one of the only scientific institutions in Russia that solves the problems of protecting soils from degradation and desertification and increasing their fertility by using the protective properties of adapted wood, shrub and herbaceous vegetation. Continuous use in research and obtaining ecological, economic and social benefits from the bioresources of economically valuable trees and shrubs of their own selection are key elements for developing a methodology for the innovative development of modern green technologies, including nursery production in the arid region of Russia. The Federal Scientific Center of Agroecology of the Russian Academy of Sciences has considerable experience in creating and implementing the results of scientific work aimed at achieving high and sustainable indicators in the forest and agro-industrial complex. It is shown that the creation of selection and seed centre has sufficient space dendrological collections, mother cells, of commercially valuable ornamental plantations, agroforestry, fruit, pasture trees, shrubs (Samara, Volgograd, Oryol, Astrakhan regions, Altai, Stavropol Krai), nursery and greenhouse complex (Nizhnevolzhsky station on selection of tree species), and land – more than 60 thousand hectares of land. Over the years, many years of ecological and experimental monitoring have been conducted on the introduction, selection, protection of plants from pests and diseases, varietal, seed and nursery production of economically important tree species in arid conditions. It is established that the unique capabilities of adaptive selection of a range of commercially valuable trees and shrubs (660 species, forms, hybrids and varieties) to meet changing conditions and requirements provide a collection funds of woody plants FSC of Agroecology Russian Academy of Sciences and its branches (West-Siberian agroforestry station, Povolzhsky agroforestry station, Nizhnevolzhsky station on selection of tree species, etc.). The region has established introduction resources, seed plantations of tree and shrub biodiversity (340 ha of forest-seed plantations, more than 150 ha of forest plantations). Complex resistant varieties were obtained, a valuable breeding gene pool was identified, and production nurseries were organized in the experimental network of the Federal Scientific Center of Agroecology of the Russian Academy of Sciences (Nizhnevolzhskaya station for selection of tree species) for rationalization of nature management, fight against drought and desertification in low-forest areas. A strategy for breeding stone crops has been developed to accelerate the creation of a new source material and varieties for cultivation using modern intensive technologies that ensure stable productivity with high fruit quality in the Lower Volga region. An extensive collection of field crops, theoretical base and practical developments has been accumulated. Including annually replenished collections of more than 2500 hybrids and varietals of winter and spring wheat, spring barley, seed millet, sorghum crops, trees, shrubs, perennial fruit crops, as well as a database of traits for more than 5000 samples of complex resistant to stress factors. The mission of the breeding and seed center is to accelerate the creation and introduction into mass production of adapted innovative varieties and hybrids of agricultural and forest crops that meet the most modern requirements of agroecological regulations for the production and processing of agricultural products. This will ensure the development of both the internal food security of the region and the Russian Federation as a whole, and increase the export potential. The key regions of the Russian Federation for the development of the Program are the following: Volgograd, Saratov, Orenburg, Samara, Oryol, Kursk, Astrakhan regions, Altai, Stavropol territory, Republic Kalmykia. Федеральный научный центр агроэкологии Российской академии наук имеет значительный опыт создания и внедрения результатов научной работы, направленной на достижение высоких и устойчивых показателей в лесном и агропромышленном комплексе. Для создания селекционно-семеноводческого центра имеются обширные дендрологические коллекции, маточники, ценные декоративные плантации деревьев и кустарников (Самарская, Волгоградская, Орловская, Астраханская области, Алтайский и Ставропольский край), питомники и тепличные комплексы (Нижневолжская станция по селекции древесных пород). В регионе созданы интродукционные ресурсы, семенные плантации, производственные питомники биоразнообразия деревьев и кустарников (340 га лесных посевных плантаций, архивы клонов, более 150 га лесных плантаций). Создана обширная коллекция полевых культур (2500 гибридов и сортов озимой и яровой пшеницы, ярового ячменя, семян проса, сорго, технических культур, деревьев, кустарников, многолетних плодовых культур), теоретическая база и практические разработки. Миссия селекционно-семенного центра - ускорить создание и внедрение в серийное производство адаптированных инновационных сортов и гибридов сельскохозяйственных и лесных культур, отвечающих самым современным требованиям агроэкологических нормативов для производства и переработки сельскохозяйственной продукции.
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Chen, Hao, Changmiao Tan, Huanhua Peng, Wentao Yang, and Lelin Li. "A Qualitative Study of Water Quality Using Landsat 8 and Station Water Quality-Monitoring Data to Support SDG 6.3.2 Evaluations: A Case Study of Deqing, China." Water 16, no. 10 (2024): 1319. http://dx.doi.org/10.3390/w16101319.
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Facing the challenge of the degradation of global water quality, it is urgent to realize the Sustainable Development Goal 6.3.2 (SDG 6.3.2), which focuses on improving global water quality. Currently, remote sensing technology is widely used for water quality monitoring. Existing water quality-monitoring studies have been conducted based on quantitative water quality inversion. It requires a high degree of the synchronization of the time and location of the collection of station monitoring data and remote sensing data (air–ground spatiotemporal synchronization), which can be resource intensive and time consuming. However, policymakers and the public are more interested in the quality of water (good or poor) than in the specific values of the water quality parameters, as evidenced by the emergence of SDG 6.3.2. In this study, we change the traditional idea of quantitative water quality research, focus on water quality qualitative research combined with the characteristics of water pollution, propose a remote sensing water quality sample enhancement method under the condition of “air–ground spatiotemporal asynchrony”, and construct a remote sensing water quality sample library. On the basis of this sample library, a random forest water quality classification model was constructed to classify water quality qualitatively. We obtained the distribution of good water bodies in Deqing County, China, for example, from 2013 to 2022. The results show that the model has high accuracy (Kappa = 0.6004, OA = 0.8387), and we found that the water quality in Deqing County improved in the order of “major rivers, lakes, and tributaries” during the period from 2013 to 2015. This also verifies the feasibility of using this sample enhancement method to conduct qualitative research on water quality. Based on this water quality classification model, a set of spatial-type evaluation processes of SDG 6.3.2 based on image elements was designed. The evaluation results show that the water quality situation in Deqing County can be divided into two stages: there is a trend of substantial improvement from 2013 (evaluated value of SDG 6.3.2 = 63.25) to 2015 (evaluated value of SDG 6.3.2 = 83.16); and it has remained stable and fluctuating after reaching the good environmental water quality since 2015. This study proposes a simple method for rapidly evaluating SDG 6.3.2 via utilizing easily accessible Landsat 8 and water quality-monitoring data to classify water quality. The method can directly obtain water quality category information without the need for additional sampling, thus saving costs. It is a very simple process that is easy to implement, while also providing a high level of accuracy. This significantly reduces the barriers to evaluating SDG 6.3.2, supports the realization of the sustainable management of water resources globally, and is highly generalizable.
Conference papers on the topic "Intensive Forest Monitoring Station Britz"
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MIKALAJŪNAS, Marius, Giedrius ŠIDLAUSKAS, Edgaras LINKEVIČIUS, and Darius KAVALIAUSKAS. "COMPARATIVE STUDY OF THE SIGNIFICANCE OF COMPETITION INDICES AND GENOTYPE OF SCOTS PINE TREE REACTIONS TO CHANGES IN METEOROLOGY AND AIR POLLUTION." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.168.
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Changing climatic conditions, increased length of growing season, competition, genotype and pollution are the most important factors for tree productivity and health. That is why only by knowing the impact of these factors on trees we can evaluate and change sylvicultural treatments that are important for the health and productivity of forest in Lithuania. The aim of the present study was to detect the significance of the competition index vs. genotype of Scots pine trees on their reactions to changes in meteorology and air pollution. Tree health, dendrometric parameters and stem basal area increment were chosen as response variables to meet the objectives of the presented study. The investigation was carried out at Scots pine genetic stand located in Aukstaitija national park, Vaisniunai district. Data on meteorology and air pollutants were obtained from ICP Integrated Monitoring Station located there. Genetically related individual groups in the stand were established by the neutral part of the genome of short repeated DNA sequence length polymorphism markers. Trees of distinctive short repeated sequences allele frequencies were grouped by Bayesian cluster analysis methods. Four genetically similar tree groups were separated in the monitored stand based on significance of ΔK value. Seven competition indices were used to determine the competition intensity effect on the tree increment and their dendrometric parameters including crown condition. The obtained results revealed that trees which demonstrated the most intensive BAI formation, best crown condition and the most significant reaction to changes in meteorology and air pollution comprised one tree genetic group while trees with adverse characteristics the second. Notwithstanding this competition intensity had the most significant effect on BAI formation.