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294 results for “forest plot”
Figure 6 Forest plots for CD013155
<p>High resolution image of forest plots for the Cochrane review: "Treatment for bleeding oesophageal varices in people with decompensated liver cirrhosis: a network meta-analysis" (DOI: 10.1002/14651858.CD013155)</p>
A 249-year chronosequence of forest plots from eight successive fires in the eastern Canada boreal mixedwoods
<p>A combination of wildfires and defoliating insect outbreaks play an important role in the natural successional dynamics of North American boreal forests, which, in the long term, change the post-disturbance composition and structure of forest stands. After stand-replacing disturbances (mainly wildfires), early successional hardwoods typically dominate the affected areas in boreal forests. Provided sufficient time following disturbances, the increasing recruitment of mid- to late-successional softwoods as well as the mortality of hardwoods gradually change forest composition from hardwoods to admixtures of hardwood-conifer species and conifer-dominated stands in mid and late successional stages, respectively. Such mixed woods are abundant across the southern Canadian boreal forest. In boreal Canada, mixed woods are the most structurally heterogeneous forest ecosystems, are highly productive, and form an important source of timber supply. Here we present the EASTERN BOREAL MIXEDWOODS CANADA dataset, which documents the changes in composition and structure of stands originating from eight successive wildfires representing a chronosequence of 249 years in eastern Canada. This dataset has been used in several different projects to study and model the influence of natural (e.g., insect outbreaks) and anthropogenic disturbances (e.g., harvesting) on the dynamics of post-fire stands. The data covers a high range of variability in stand composition and structure, explained by species establishment, dominance and mixture. It thus constitutes a useful source of information to trace the dynamics of the main boreal tree species of eastern north America, from their establishment to their replacement at different spatial scales (e.g., from stand to landscape level).</p>
Taxation of forest stands on 29 plots conducted of the Lyalsky test site in the Central-Eastern Forest Taxation District of the European part of Russia was carried out during August 2023
<p>The taxation characteristics of a forest stand include: forest type, tree species, diameter, height, age, state, and degree of decomposition for fallen trees and stumps. Forest taxation was carried out according to the methodology [Fieldwork methodology for forest inventory on a test site as part of the implementation of the important state-level innovative project 'Carbon in Ecosystems: Monitoring'. URL: https://ritm-c.ru/wp-content/uploads/2023/09/metodika-polevyh-rabot-po-taksaczii-na-ppp_27_06_2023-.pdf].</p><p>The research was carried out by employees of the Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences as part of the most important innovative project of national importance 'Development of a system for ground-based and remote monitoring of carbon pools and greenhouse gas fluxes in the territory of the Russian Federation, ensuring the creation of recording data systems on the fluxes of climate-active substances and the carbon budget in forests and other terrestrial ecological systems' (Registration number: 123030300031-6).</p>
Data from: Sampling origins and directions affect the minimum sampling area in forest plots
<p><span>The minimum sampling area (or minimum area), representing the smallest space </span>that reflects the species composition and characteristics of a plant community, is estimated using species-area relationships (SARs) for designing and managing biodiversity conservation. However, the sampling design's effect on the determination of the minimum area has rarely been systematically evaluated. In this study, we used tree census data from three forest dynamic plots of 25–60 ha in different climatic zones in China to calculate the minimum areas of woody plants in the plots and analyze the effects of species richness and topographic heterogeneity on the areas by changing sampling origins and directions. Our findings reveal that the estimated size of the minimum areas varied significantly with sampling origins and directions, with a difference of approximately 1.5–2 times in forest plots. Topographic heterogeneity affected the minimum area through changes in species composition, while species richness had only a weak impact. These results suggest the importance of considering the sampling origin and direction design when utilizing SARs to estimate the minimum area and species diversity in plant communities, which contributes to a better understanding of vegetation characteristics and the minimum area required for censuses in heterogeneous habitats.</p>
Stem data from first three censuses on the University of California Santa Cruz Forest Ecology Research Plot
<p>Here we present stem-based data from the first three censuses of the 16-ha UC Santa Cruz Forest Ecology Research Plot, located in the Mediterranean climate forest of coastal central California, USA. The forest includes both mixed evergreen forest and redwood-dominated forest, and is recovering from significant logging disturbance in the early 20th century. Each woody stem with diameter larger than 1 cm has been mapped, tagged, identified, and measured, with censuses on a ~5-year interval. The first census (FERP1) began in 2007, and included just 6 ha. During FERP2, begun in 2011, the plot was expanded to 16 ha. The FERP3 census was begun in 2017. The community includes 34 woody species, including 4 gymnosperm and 9 angiosperm tree species, 18 species of shrubs, and 3 species of lianas. Across the three censuses, we report identity, size, location, and mortality data from 48,556 stems of 31,206 mapped individuals.</p>
Data on arthropod abundance in tropical forest restoration plots with high or low plant phylogenetic diversity
<p>Consideration of plant phylogenetic diversity in ecological restoration carries substantial potential, as communities with a greater diversity of lineages with older evolutionary histories can increase the diversity of niches and thus are likely to recover larger species networks than communities clustered in specific clades with reduced variation in functional traits. In this study, we experimentally assessed how arthropod communities were affected by the phylogenetic diversity of a set of tropical tree species. We established 12 experimental restoration plots with either high or low plant phylogenetic diversity, while maintaining constant the number of plant species. After one and three years, arthropods with different feeding habits (herbivores, predators, pollinators, and detritivores) were collected and identified as morphospecies or operational taxonomic units using metabarcoding techniques. We provide insights on the influence of plant phylogenetic diversity on arthropod abundance and species diversity, particularly among predator, pollinator, and detritivore common and dominant species, which increased with plant phylogenetic diversity. The trend, however, was the opposite for the diversity of herbivore common and dominant species, which decreased as plant phylogenetic diversity increased. These findings highlight the importance of considering plant species richness when designing restoration strategies, but also their evolutionary histories, as the same number of plant species can produce different outcomes for higher trophic levels, as a function of their phylogenetic relationships. </p>
TLS data of forest plot
<p>TLS data acquired with a Riegl VZ-2000i within a forest plot in the Zirbenwald near Obergurgl, including 23 scanning positions using the one-touch-mode. Ground classification was done based on progressive TIN densification (Axelsson 2000). Projection: UTM 32N (EPSG 32632), fine registration based on the ALS-data from 2017.</p>
Fig. 2. Plot covering 500m in D E A D W O O D A C C U M U L A T I O N I N D E C I D U O U S Dominated Forests
Fig. 2. Plot covering 500m² and trees and stumps that belong to it.
Forest plot: Associations between BMI at baseline and pCR following NACT – stratification according to ER status.
<p>Forest plot: Associations between BMI at baseline and pCR following NACT – stratification according to ER status.</p>
Diversity change in forest plots of Blue Mountains, Jamaica
<p>Beta diversity describes the differences in species composition among communities. Changes in beta diversity over time are thought to be due to selection based on species' niche characteristics. For example, theory predicts that selection that favours habitat specialists will increase beta diversity. In practice, ecologists struggle to predict how beta diversity changes. To remedy this problem, we propose a novel solution that formally measures selection's effects on beta diversity. Using the Price equation, we show how change in beta diversity over time can be partitioned into fundamental mechanisms including selection among species, variable selection among communities, drift, and immigration. A key finding of our approach is that a species' short-term impact on beta diversity cannot be predicted using information on its long-term environmental requirements (i.e. its niche). We illustrate how our approach can be used to partition causes of diversity change in a montane tropical forest before and after an intense hurricane. Previous work in this system highlighted the resistance of habitat specialists and the recruitment of light-demanding species but was unable to quantify the importance of these effects on beta diversity. Using our approach, we show that changes in beta diversity were consistent with ecological drift. We use these results to highlight the opportunities presented by a synthesis of beta diversity and formal models of selection.</p>
Botanic records from the forest reserves of south west Ghana: Plant species distribution data with checklist and conservation assessments from 114 vegetation plots
<p>South west Ghana is a biodiversity hotspot within the western African lowland tropical rainforest region, supporting many endemic and restricted range plant species. This dataset comprises botanic records from five forest reserves of south west Ghana (Ankasa, Boi Tano, Tano Nimri, Jema Assemkron, Nini Suhein). Vascular plant species distribution data (12,232 records) from 114 vegetation plot samples are presented, surveyed between 1981 and 2015. A plant species checklist including conservation assessments for each species is included. Nomenclature is current as of 2016. The dataset is linked to the publication Marshall et al, 2023, Implications for conservation assessment from flux in the botanical record over 20 years in south west Ghana, Ecology and Evolution <a href="https://doi.org/10.1002/ece3.9775">https://doi.org/10.1002/ece3.9775</a>. The dataset is also used in Marshall et al, 2022, Predictors of plant endemism in two west African forest hotspots, Frontiers in Ecology and Evolution 10:980660 <a href="https://doi.org/10.3389/fevo.2022.980660">https://doi.org/10.3389/fevo.2022.980660</a>.</p>
'Danum Revised' forest field plot data for twenty 0.28 hectare field plots, measured in 2017
<p>Permanent forest plot data from Sabah, Malaysia. Danum Valley Conservation Area. Here we provide a brief description of the permanent plot data collected following the same protocols utilized within the Kuamut forest reserve.</p> <p>Twenty circular field plots with a 30 m radius that were established across the protected area as part of a collaboration between SEARRP and the Carnegie Airborne Observatory (CAO) in 2017. These plots were surveyed following the same protocols as those described by the Kuamut conservation project. The field protocol is provided. Field plot locations where selected using airborne LiDAR to specifically target both high Aboveground Carbon Density (ACD) areas, and also areas with different ACD predictions based on a draft set of carbon mapping models. See Jucker et al. (2018) and Asner et al. (2017) for further details. Note subsequent measurements (in 2020) include more plots. Subsequent measurements allowed further data checking and corrections, so some minor updates to the 2017 dataset have been made since the previous publications. Please see additional Zenodo data entries for the 2020 measure.</p> <p>Use of these data require citation of this dataset and citation of the two original journal articles that delivered and explain the work, and that you inform us of the use of the data. We would also appreciate the opportunity to be involved in work making use of this data. The required citations are as follows:</p> <p>Asner, Gregory P., Philip G. Brodrick, Christopher Philipson, Nicolas R. Vaughn, Roberta E. Martin, David E. Knapp, Joseph Heckler, et al. 2017. “Mapped Aboveground Carbon Stocks to Advance Forest Conservation and Recovery in Malaysian Borneo.” <em>Biological Conservation</em> 217 (June 2017): 289–310. <a href="https://doi.org/10.1016/j.biocon.2017.10.020">https://doi.org/10.1016/j.biocon.2017.10.020</a></p> <p>Jucker, Tommaso, Gregory P. Asner, Michele Dalponte, Philip G. Brodrick, Christopher D. Philipson, Nicholas R. Vaughn, Yit Arn Teh, et al. 2018. “Estimating Aboveground Carbon Density and Its Uncertainty in Borneo’s Structurally Complex Tropical Forests Using Airborne Laser Scanning.” <em>Biogeosciences</em> 15 (12): 3811–30. <a href="https://doi.org/10.5194/bg-15-3811-2018">https://doi.org/10.5194/bg-15-3811-2018</a></p> <p>This work would not be possible without the incredibly hard work and dedication of the entire SEARRP field team, including Philip Ak Ulok; Hii Siew Yee; Remmy Bin Murus; Alexander Karolus; Andy Brian Karolus; Frederica Karolus; Zidey Fulgentius; Welday Bin Girang; Mohamad Taufiq Bin Sumin, Mohd Fadil Bin Abd Karim, Joulu Rasion, and Japin Bin Rasion. We are very grateful to the help of all the field staff not specifically mentioned here.­</p>
Long-term seedling and small sapling census data from the Barro Colorado Island 50 ha Forest Dynamics Plot, Panama
<p>Tropical forests are well known for their high woody plant diversity. Processes occurring at early life stages are thought to play a critical role in maintaining this high diversity and shaping the composition of tropical tree communities. To evaluate hypothesized mechanisms promoting tropical tree species coexistence and influencing composition, we initiated a census of woody seedlings and small saplings in the permanent 50-ha Forest Dynamics Plot (FDP) on Barro Colorado Island (BCI), Panama. Situated in old-growth, lowland tropical moist forest, the BCI FDP was originally established in 1980 to monitor trees and shrubs ≥1 cm diameter at 1.3 m above ground (dbh) at ca. 5-yr intervals. However, critical data on the dynamics occurring at earlier life stages were initially lacking. Therefore, in 2001 we established a 1-m<sup>2</sup> seedling plot in the center of every 5 x 5 m section of the BCI FDP. All freestanding woody individuals ≥20 cm tall and <1 cm dbh (hereafter referred to as seedlings) were tagged, mapped, measured, and identified to species in 19,313 1-m<sup>2</sup> seedling plots. Because seedling dynamics are rapid, we censused these seedling plots every 1–2 years. Here we present data from the 14 censuses of these seedling plots conducted between the initial census in 2001 to the most recent census, in 2018. This data set includes nearly 1M observations of ~185,000 individuals of >400 tree, shrub, and liana species. These data will permit spatially-explicit analyses of seedling distributions, recruitment, growth, and survival for hundreds of woody plant species. In addition, the data presented here can be linked to openly-available, long-term data on the dynamics of trees and shrubs ≥1cm dbh in the BCI FDP, as well as existing data sets from the site on climate, canopy structure, phylogenetic relatedness, functional traits, soil nutrients, and topography.</p>
Tree species abundance through time in tropical forest census plots, Panama
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Long-term seedling and small sapling census data from the Barro Colorado Island 50 ha Forest Dynamics Plot, Panama
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Forest biomass in subtropical Andes: Plots data
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Degree of intervention affects interannual and within-plot heterogeneity of seed arrival in tropical forest restoration
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Stem data from first three censuses on the University of California Santa Cruz Forest Ecology Research Plot
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Species Abundance Distributions (SADs) for local tree communities in 1-ha forest plots on 20 tropical islands in the Indo-Pacific region
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Data from: Sampling origins and directions affect the minimum sampling area in forest plots
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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