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294 results for “forest plot”
Hubbard Brook site, station 10-hectare bird count plot at Hubbard Brook Experimental Forest, study of animal abundance of Poecile atricapillus (black-capped chickadee) in units of numberPer10Hectares on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Poecile atricapillus (black-capped chickadee) measurements in numberPer10Hectares units and were aggregated to a yearly timescale.
Hubbard Brook site, station 10-hectare bird count plot at Hubbard Brook Experimental Forest, study of animal abundance of Seiurus aurocapilla (ovenbird) in units of numberPer10Hectares on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Seiurus aurocapilla (ovenbird) measurements in numberPer10Hectares units and were aggregated to a yearly timescale.
Hubbard Brook site, station 10-hectare bird count plot at Hubbard Brook Experimental Forest, study of animal species richness of birds in units of numberPer10Hectares on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal species richness of birds measurements in numberPer10Hectares units and were aggregated to a yearly timescale.
Variability in soil and litter arthropod populations in the Soil Freezing Study plots at the Hubbard Brook Experimental Forest, 2009-2010
Climate models for the northeastern United States (U.S.) over the next century project an increase in air temperature between 2.8 and 4.3 °C and a decrease in the average number of days per year when a snowpack will cover the forest floor. Warmer temperatures may benefit some litter arthropods by allowing them to expand their ranges and to increase their rates of reproduction. However, a reduction in snowpack depth and duration could offset these changes and lead to increased arthropod mortality because the snowpack plays an important role in insulating arthropods from freezing temperatures. We evaluated these potential changes by measuring arthropod abundance in the Soil Freezing Study plots at the Hubabard Brook Experimental Forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Moose activity and nitrogen cycling along an elevation gradient on the snow removal plots at the Hubbard Brook Experimental Forest.
The response of moose activity and three tree species to soil freezing were measured through experimental manipulation (shoveling) of snow to induce soil freezing. In addition, mechanical clipping of plants to simulate moose browsing and the addition of 15N labeled moose feces were included to determine the biogeochemical and plant response. N dynamics were evaluated using soil tension lysimeters, soil sampling, tracing movement of moose fecal N into soil, plant and microbial pools and leaching loss. Both total N and 15N were measured in all pools and fluxes. Fluxes include N mineralization and nitrification rates. Rate of decomposition and fate was also followed for moose feces. This data set includes measurents from 2003 to 2006. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Data from: Informative plot sizes in presence-absence sampling of forest floor vegetation
1. Plant communities are attracting increased interest in connection with forest and landscape inventories due to society's interest in ecosystem services. However, the acquisition of accurate information about plant communities poses several methodological challenges. Here we investigate the use of presence-absence sampling with the aim to monitor state and change of plant density. We study what plot sizes are informative, i.e. the estimators should have as high precision as possible. 2. Plant occurrences were modeled through different Poisson processes and tests were developed for assessing the plausibility of the model assumptions. Optimum plot sizes were determined by minimizing the variance of the estimators. While state estimators of similar kind as ours have been proposed in previous studies, our tests and change estimation procedures are new. 3. We found that the most informative plot size for state estimation is 1.6 divided by the plant density, i.e. if the true density is 1 plant per square meter the optimum plot size is 1.6 square meters. This is in accordance with previous findings. More importantly, the most informative plot size for change estimation was smaller and depended on the change patterns. We provide theoretical results as well as some empirical results based on data from the Swedish National Forest Inventory. 4. Use of too small or too large plots resulted in poor precision of the density (and density change) estimators. As a consequence, a range of different plot sizes would be required for jointly monitoring both common and rare plants using presence-absence sampling in monitoring programmes.
Data from: Habitat patterns in tropical rain forests: a comparison of 105 plots in northwest Borneo
Understanding the maintenance of high tropical tree species diversity requires disentangling the effects of habitat vs. geographic distance. Using floristic, topographic, and soil nutrient data from 105 0.6-ha plots in mixed dipterocarp forest throughout Sarawak, Malaysian Borneo, we explore the degree to which floristic patterns are habitat-driven from local to landscape scales. We assess how the floristic influence of geographic distance vs. abiotic factors varies from local to regional scales. We employ several multivariate analytical techniques and perform a hierarchical clustering of the research plots using the Steinhaus index of floristic dissimilarity, as well as Mantel analyses on matrices of floristic, habitat, and geographic distance. These analyses indicate that floristic variation is more strongly correlated with habitat than with geographic distance on the regional scale. On the local-landscape to community scale, we find evidence of a resource threshold above which habitat effects weaken; that is, below the resource threshold floristic similarity between sites is dominated by habitat effects, while above the threshold floristic similarity between sites is dominated by geographic-distance effects. We also find evidence that topography and soil nutrients correlate in part independently with floristics. These results, together with previous studies in the Neotropics, emphasize that tree species distribution and community composition are variously influenced by the interplay of both habitat and dispersal-driven effects.
Data from: The contribution of rare species to community phylogenetic diversity across a global network of forest plots
Niche differentiation has been proposed as an explanation for rarity in species assemblages. Testing this hypothesis requires quantifying the ecological similarity of species. This similarity can potentially be estimated by using phylogenetic relatedness. In this study, we predicted that if niche differentiation does explain the co-occurrence of rare and common species, then rare species should contribute greatly to the overall community phylogenetic diversity (PD), abundance will have phylogenetic signal and that common and rare species will be phylogenetically dissimilar. We tested these predictions by developing a novel method that integrates species rank abundance distributions with phylogenetic trees and trend analyses to examine the relative contribution of individual species to the overall community PD. We then supplement this approach with analyses of phylogenetic signal in abundances and measures of phylogenetic similarity within and between rare and common species groups. We applied this analytical approach to 15 long-term temperate and tropical forest dynamics plots from around the world. We show that the niche differentiation hypothesis is supported in six forests but is rejected in nine forests, and that the three metrics utilized in this study each provide unique but corroborating information regarding the phylogenetic distribution of rarity in communities.
Data from: OpenNahele: the open Hawaiian forest plot database
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 (D950.1 and Dmax3) 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.
Supplementary File 13: Tables of estimates and Forest plots of pairwise comparisons from original studies for Subgroups of Primary Outcomes
<p>Supplementary File #13 for Cochrane Review entitled: "Non-invasive respiratory support in preterm infants as primary mode: a network meta-analysis"</p>
NEON forest and woodland plots: diversity, structure and climate
<p>We combined climate variables with field measurements and airborne lidar from all forest and woodland plots in the National Ecological Observatory Network (NEON) to characterize the role of climate in constraining biodiversity – forest structure relationships across the United States. </p>
Chronicle of Nature - Phenology of Plants of Bryansk Forest Nature Reserve (plot based)
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 14084 records collected during 20 years between 1994 and 2013.
Forest plots of pairwise comparisons from original studies for the primary outcomes
<p>Supplemental File #9 for the Cochrane review entitled: "<span>Non-invasive respiratory support in preterm infants as primary mode: a network meta-analysis"</span></p>
Tables of direct, indirect and networks estimates and Forests plots of pairwise comparisons for all secondary outcomes
<p>Supplementary File #12 for Cochrane review entitled: "Non-invasive respiratory support in preterm infants as primary mode: a network meta-analysis"</p>
The global distribution and drivers of wood density across angiosperms and gymnosperms and their impact on forest carbon stocks (Data and Plots)
<p>Abstract:</p> <div>The density of wood is a key indicator of trees’ carbon investment strategies, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here, we analyze information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially-explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to ~30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.</div> <div> </div> <p>This repository only provides the folders of 'Data' and 'Plots' that are needed for for the repository on GitHub: https://github.com/LidongMo/GlobalWoodDensityProject</p>
Data from: Patterns of tree mortality in a temperate deciduous forest derived from a large forest dynamics plot
Tree mortality is one of the most influential drivers of forest dynamics, and characterizing patterns of tree mortality is critical to understanding forest dynamics and ecosystem function in the present era of global change. Here, we use a unique data set of mortality in a temperate deciduous forest to characterize rates and drivers of mortality. At the 25.6-ha Center for Tropical Forest Science—Forest Global Earth Observatory forest dynamics plot at the Smithsonian Conservation Biology Institute (Virginia, USA), we conducted two full tree censuses in 2008 and 2013 and then tracked mortality over the next 2 years (2014 and 2015). Overall, the mortality rate, m, of stems ≥10 cm diameter was 1.3–2.1%/yr. Biomass mortality, M, was 1.9–3.4 Mg·ha−1·yr−1 at the stand level (0.6–1.1%/yr of biomass), less than biomass gains from growth and recruitment, resulting in net live biomass accumulation. Small stems died at the highest rate; however, contributions to M increased toward larger size classes. Most species had m < 2%/yr and M < 0.25 Mg·ha−1·yr−1 (<3%/yr of biomass), whereas two to four species had anomalously high mortality rates during each census period, accounting for 15–24% of m (n = 2, Cercis canadensis, Ulmus species) and 39–75% of M (n = 4 Quercus species). Stems that died, whether or not in association with mechanical damage, tended to grow more slowly in preceding years than surviving stems and, for certain shade-intolerant species, tended to be in neighborhoods with higher basal area. These findings show how relatively fine-scale mortality processes contribute to stand-level compositional change and carbon cycling. The mortality patterns reported here will provide a valuable basis for understanding future disturbance events within eastern deciduous forests and for comparing across forest types.
Tree abundance in eight 1-ha tropical forest plots in northeastern Costa Rica from 1997-2017
<p>In 1997, four 1-ha plots were established in secondary forests (12-25 yr since establishment on former pasture) in northeastern Costa Rica, in and around La Selva Research Station. In 2005, four additional plots were established, two in 10-yr old sites and two in old growth sites. The dataset contains information for 155,378 trees. Each year, from 1997-2017 all stems with a diameter of breast height ≥ 5 cm were censused in each site within 100 subplots of 10m x 10m. All but a few individuals were identified to species with confirmed identifications by local experts and vouchers. Life form for each species was also recorded as tree (reaching canopy), midtree (midstory tree), treelet (understory tree), shrub, liana, palm, or understory palm. The specimen-based data set contains data for all trees that were alive (not completely dead) and standing in each annual census, including notes on new recruits or damaged trees. Each tree individual is identified by a unique stem identifiation code and each entry has a unique specimen code. Each tree had a unique numbered tag, nailed into the stem. Locations of diameter measurements were painted on each tree to minimize annual variation and field technians had data from the prior year to confirm information for each tree. These were generally taken at 1.3 m height. In cases where a buttress or stilt root caused a stem irregularity, the measurement point was moved upwards beyond any stem irregularity. The diameter measurement for each specimen reflects each year's measurement point.</p>
FIGURE 12. Bivariate plots with 95 in Taxonomic revision of the Brazilian Atlantic Forest Atractus (Reptilia: Serpentes: Dipsadidae) 2364
FIGURE 12. Bivariate plots with 95% confidence regions for the first two axes derived from scores of DFA analyses for male (A) and female (B) colour patterns of Atractus paraguayensis.
FIGURE 17. Bivariate plot with 95 in Taxonomic revision of the Brazilian Atlantic Forest Atractus (Reptilia: Serpentes: Dipsadidae) 2364
FIGURE 17. Bivariate plot with 95% confidence regions for the first two axes derived from scores of DFA analyses for females of Atractus francoi sp. nov., A. serranus, and A. trihedrurus.
Data from: OpenNahele: the open Hawaiian forest plot database
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