Gotowa bibliografia na temat „Resurvey vegetation database”

"VESTA - resurvey of natural, non-forest vegetation (Central Europe)" is a thematic, resurvey database focused on documentation of changes in natural, non-forest communities. Currently, the database includes 549 relevés (231 replots for 84 sites) corresponding to the classes Asplenietea trichomanis (incl. Polypodietea), Koelerio-Corynephoretea (rocky grasslands), Loiseleurio-Vaccinietea and Betulo carpaticae-Alnetea viridis. The project is continuous in character. It is based on the phytosociological relevés from own field studies which have been carried out in the Sudetes Mts. and their foothills since 1989. The subject of research have been all types of rocky communities (chasmophytic, grasslands, thickets), mountain and submountain tall-herb communities, subalpine thickets and heathlands. Relevés are collected according to the standard Braun-Blanquet method (species coverage scale: r, +, 1, 2, 3, 4, 5) and on rectangular or square-shaped surfaces with possible adjustment to the shape of the rocky outcrops. Initially (until 2008), the location of plots was marked on maps and field sketches. However, the fact that all relevés were collected by the owners of the database made it easier to revisit all plots and assigned a location compatible with GPS with SiRFstar III chipset. The accuracy of position measurements varies between 2 and 15 meters (on average 10 meters). Aspect is determined using electronic compass linked to GPS. Altitude is obtained from Google Earth and corrected with landmarks from topographical maps if necessary. The shading of the plots has been visually assessed so far. The bedrock type is derived from a Detailed Geological Map of the Sudetes (http://sudety.pgi.gov.pl/). Subsequent resurveys of the plots are conducted during field visits planned specifically for this purpose or during other research carried out in the same area.

“VESTA - resurvey of natural, non-forest vegetation (Central Europe)” is a thematic, resurvey database focused on documentation of changes in natural, non-forest communities. Currently, the database includes 549 relevés (231 replots for 84 sites) corresponding to the classes Asplenietea trichomanis (incl. Polypodietea), Koelerio-Corynephoretea (rocky grasslands), Loiseleurio-Vaccinietea and Betulo carpaticae-Alnetea viridis. The project is continuous in character. It is based on the phytosociological relevés from own field studies which have been carried out in the Sudetes Mts. and their foothills since 1989. The subject of research have been all types of rocky communities (chasmophytic, grasslands, thickets), mountain and submountain tall-herb communities, subalpine thickets and heathlands. Relevés are collected according to the standard Braun-Blanquet method (species coverage scale: r, +, 1, 2, 3, 4, 5) and on rectangular or square-shaped surfaces with possible adjustment to the shape of the rocky outcrops. Initially (until 2008), the location of plots was marked on maps and field sketches. However, the fact that all relevés were collected by the owners of the database made it easier to revisit all plots and assigned a location compatible with GPS with SiRFstar III chipset. The accuracy of position measurements varies between 2 and 15 meters (on average 10 meters). Aspect is determined using electronic compass linked to GPS. Altitude is obtained from Google Earth and corrected with landmarks from topographical maps if necessary. The shading of the plots has been visually assessed so far. The bedrock type is derived from a Detailed Geological Map of the Sudetes (http://sudety.pgi.gov.pl/). Subsequent resurveys of the plots are conducted during field visits planned specifically for this purpose or during other research carried out in the same area.

The LAURA database is a resurvey dataset documenting long-term changes in forest vegetation across southwestern Poland. It currently includes 842 phytosociological relevés from 409 plots across 20 sites. The dataset covers a wide range of forest types, from lowland riparian forests up to subalpine woods. The database primarily relies on archival data collected between 1955 and 2000, which are revisited at the originally described locations, mostly in nature reserves. The average time span between surveys is 35 years, with a minimum of 14 years. The LAURA database provides valuable insights into the long-term effects of environmental change on forest communities. It may facilitate studies on species composition shifts, biodiversity trends, and forest succession in response to factors such as climate change, land-use history, and conservation efforts. Additionally, by integrating part of its dataset (35%) with forestREplot and ReSurveyEurope, it contributes to large-scale comparative analyses of European forest ecosystems.

The LAURA database is a resurvey dataset documenting long-term changes in forest vegetation across southwestern Poland. It currently includes 842 phytosociological relevés from 409 plots across 20 sites. The dataset covers a wide range of forest types, from lowland riparian forests up to subalpine woods. The database primarily relies on archival data collected between 1955 and 2000, which are revisited at the originally described locations, mostly in nature reserves. The average time span between surveys is 35 years, with a minimum of 14 years. The LAURA database provides valuable insights into the long-term effects of environmental change on forest communities. It may facilitate studies on species composition shifts, biodiversity trends, and forest succession in response to factors such as climate change, land-use history, and conservation efforts. Additionally, by integrating part of its dataset (35%) with forestREplot and ReSurveyEurope, it contributes to large-scale comparative analyses of European forest ecosystems.

We present ReSurveyDunes — the first database of Italian coastal dune vegetation plots, developed through a collaborative network of Italian vegetation scientists. This paper describes the scope of the initiative, provides an overview of the available data, and highlights its key features, research applications, and future potential. ReSurveyDunes currently comprises 972 vegetation plots distributed across 11 Italian regions (Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Lazio, Molise, Sardinia, Sicily, Tuscany, and Veneto). The original plots were surveyed between 1974 and 2009, with a primary focus on herbaceous psammophilous coastal zonation (habitats 1210, 2110, 2120, 2130*, 2210, 2230, and 2240, as defined by the 92/43/EEC Habitats Directive). Resurveys were conducted in 2023 and 2024. Each plot dataset includes (i) a complete list of vascular plant species with cover estimates; (ii) geographic coordinates (latitude and longitude); (iii) sampling dates; and (iv) plot size. Designed to analyze fine-scale temporal trends in Italian coastal vegetation, ReSurveyDunes is a versatile tool for diverse ecological studies. It represents a valuable resource for evidence-based decision-making, enabling targeted conservation and management actions informed by up-to-date ecological data.

Since forest vegetation dynamics is a process lasting decades to centuries, we aimed to check if 30 years is enough to expect any significant qualitative and quantitative changes in the herb layer composition in mature broadleaved forests. We identified the trends in the selected global environmental drivers that may lie behind the observed changes in plant communities. We focused on understorey species since they are good indicators of altered habitat conditions and because 80% of plant species richness in forests is located in the herb layer. We conducted the study in two forests located in S Poland. Both sites are situated on the edge of these extensive forests. One of the regions, Wapienica Valley, situated in the Silesian Beskids, is protected as Natura 2000 Beskid Śląski region and as Wapienica Valley nature-landscape complex. The second study region, Rudno Stream Valley Nature Reserve, located on Kraków Upland, was designated a forest nature reserve in 2001. Both sites are characterized by a significant proportion of mature forest communities of natural character, with a very high proportion of herb layer species typical for forest interiors. The baseline vegetation surveys and resurveys were conducted in similar years, in 1991-2020 and 1992-2023, for Wapienica Valley and Rudno Stream Valley, respectively. Thus, the interval between the studies was ca. 30 years. During this period, forests were free from natural disturbances or direct human-induced pressure due to forest management, grazing, or severe trampling. No alterations in forest structure due to dynamic successional changes were detected in the 30-year interval since the initial survey was conducted in mature stands with diverse vertical profiles and species composition typical for natural forests.The Braun-Blanquet method was implemented in the initial survey and resurvey studies documenting forest floor vegetation composition. Meso- and eutrophic communities from the Querco-Fagetea and Alnetea glutinosae classes were surveyed.To assess temporal shifts in climate, we used data from the Kraków-Obserwatorium (1960-2024; ~25 km away from Rudno) and Brenna (1980-2024; ~20 km away from Wapienica) meteorological stations, provided by the Institute of Meteorology and Water Management. Based on modelled gridded data provided by the EMEP program, we compiled information on temporal changes (1990-2022) in the total deposition of NOx and SOx.We conducted all statistical analyses using R. Apart from species richness and Shannon index; we calculated three metrics of phylogenetic diversity for each plot: Faith's PD, mean nearest taxon distance index, and mean pairwise phylogenetic distance. Low PD values hint at a strong phylogenetic clustering of species, i.e., the phylogenetic distances between species are shorter, making the abundance of plant taxa representing particular clades less random than in the phylogenetic tree. Data on four functional traits of plant species recorded in plots were compiled from the LEDA, BIEN, BiolFlor, and Pladias databases: canopy height, specific leaf area, leaf dry matter content, and seed mass. Using the ecological indicator values (EIV), we characterized the ecological requirements of plant species. For each plot, we calculated the community weighted mean values of plant functional traits and EIVs. To characterize vegetation's functional diversity, we computed functional richness, divergence, dispersion, and evenness for each plot. To identify the patterns of species composition shifts between the two sampling periods for each vegetation type, we conducted the NMDS ordination. We used mixed-effects models to evaluate temporal changes in plant species diversity metrics within each vegetation type.While mean annual temperature increased prominently in both study sites, the number of days with snow cover decreased significantly from 1960 to 2024. No significant shifts over time were observed regarding mean annual precipitation. In both study sites, we observed significant decreases in the atmospheric deposition of sulphur and nitrogen oxides.Regarding the plots representing <em>Fraxino- </em>and <em>Ribeso nigri-Alnetum</em>, as well as <em>Lunario-Aceretum</em> and <em>Dentario glandulosae Fagetum</em>, we observed consistent directions of compositional changes over time, while temporal shifts in plant species composition in <em>Luzulo-Fagetum</em> forest were plot-specific. In the resurveyed <em>Fraxino- </em>and <em>Ribeso nigri-Alnetum</em> plots, the species richness, functional richness, functional evenness, and the contribution of species with lower seed mass and higher temperature demands increased significantly compared to the initial survey period. In resurveyed <em>Lunario-Aceretum </em>plots, we observed a significant decrease in functional richness, dispersion, and divergence, as well as leaf dry matter content CWM, along with an increase in canopy height and seed mass CWMs values and the contribution of species with higher light, moisture, nitrogen, and reaction demands compared to historical data. Considering the <em>Luzulo-Fagetum</em> plots, only values of the mean nearest taxon distance index were higher in resurveyed plots than in historical vegetation data. In the <em>Dentario glandulosae-Fagetum</em> plots, we identified a significant increase in the mean nearest taxon distance and species richness over time.Over the last decades, significant changes in the climatic parameters and a severe decrease in NOx and SOx atmospheric deposition were observed. The reaction of vegetation to these shifts in the global environmental drivers is inconsistent and varies in forest communities of different fertility and moisture regimes.

We present ReSurveyDunes — the first database of Italian coastal dune vegetation plots, developed through a collaborative network of Italian vegetation scientists. This paper describes the scope of the initiative, provides an overview of the available data, and highlights its key features, research applications, and future potential. ReSurveyDunes currently comprises 972 vegetation plots distributed across 11 Italian regions (Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Lazio, Molise, Sardinia, Sicily, Tuscany, and Veneto). The original plots were surveyed between 1974 and 2009, with a primary focus on herbaceous psammophilous coastal zonation (habitats 1210, 2110, 2120, 2130*, 2210, 2230, and 2240, as defined by the 92/43/EEC Habitats Directive). Resurveys were conducted in 2023 and 2024. Each plot dataset includes (i) a complete list of vascular plant species with cover estimates; (ii) geographic coordinates (latitude and longitude); (iii) sampling dates; and (iv) plot size. Designed to analyze fine-scale temporal trends in Italian coastal vegetation, ReSurveyDunes is a versatile tool for diverse ecological studies. It represents a valuable resource for evidence-based decision-making, enabling targeted conservation and management actions informed by up-to-date ecological data.

AbstractAimsWe introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions.ResultsReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun‐Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020.ConclusionsReSurveyEurope is a new resource to address a wide range of research questions on fine‐scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well‐established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.

AbstractMonitoring vegetation trends against objective baselines is fundamental to quantify the impacts of global change on plant biodiversity. Vegetation plot time series are a gold standard in vegetation monitoring, but such data are missing for many regions. Southern Patagonia is an example of a region strongly impacted by climate change but lacking time series data. Monitoring in this region could benefit from a comparison with vegetation survey data gathered between 1975 and 1979, as part of the multidisciplinary research program “Transecta botánica de la Patagonia austral” (hereafter Transecta). Published in 1985, it contains data on 668 vegetation plots, which were so far inaccessible to most researchers: Transecta has never been reprinted, nor fully digitized, and can only be found in specialized libraries. Here, we created a reproducible workflow, documenting how vegetation plot data from historical sources can be extracted and harmonized. The resulting open‐access database we created fills a major regional gap and provides a needed baseline to assess the impacts of global change on southern Patagonia vegetation. By making these data available, we hope to inspire a new generation of vegetation scientists to resurvey the area and continue the legacy of the pioneer researchers who compiled Transecta.