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15 results for “biodiversity metrics”
Data from: Invasion timing affects multiple scales, metrics and facets of biodiversity outcomes in ecological restoration experiments (Missouri, 2009-2016)
Vegetation responses to experimental ecological restoration treatments at Tyson Research Centre of Washington University in Missouri, USA. These data include species-level cover responses to various factorial restoration treatments. Treatments were applied starting in 2009 and were measured in 2016. Treatment responses reflect these long term responses, but the dataset is comprised to one time point.
A globally influential area-condition metric is a poor proxy for invertebrate biodiversity
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WEGE: A new metric for ranking locations for biodiversity conservation
<p>Aim Effective policy making for biological conservation requires the identification and ranking of the most important areas for protection or management. One of the most frequently used systems for selecting priority areas is Key Biodiversity Areas (hereafter KBAs), developed by the International Union for Conservation of Nature (IUCN). However, KBAs cannot be used to rank areas, potentially limiting their use when limited funding is available. To tackle this shortcoming and facilitate spatial prioritization, here we develop and validate the "WEGE index" (Weighted Endemism including Global Endangerment index), consisting of an adaptation of the EDGE score (Evolutionarily Distinct and Globally Endangered). WEGE allows the ranking of any set of locations according to the KBA guidelines and on a continuous scale. Location Global. Methods We calculated the EDGE score, Weighted Endemism, Evolutionary distinctiveness, Extinction risk and our newly developed WEGE index for all terrestrial species of amphibians, mammals and birds accessed by IUCN. We then compared the performance of each of those five indices at prioritizing areas according to the KBA guidelines. Results We found that for all taxa surveyed, WEGE was consistently better at identifying areas that trigger KBA status. Main conclusions In our analyses, WEGE outperformed all other methods and metrics designed for similar purposes. It can therefore serve as a robust evidence-based methodology to prioritize among otherwise equally qualified sites according to the KBA categories. WEGE can therefore support transparent, evidence-based and biologically meaningful decision-making for conservation priorities.</p>
Supplementary material for: Phylogenetic biodiversity metrics should account for both accumulation and attrition of evolutionary heritage
<p>Phylogenetic metrics are essential tools used in the study of ecology, evolution and conservation. Phylogenetic diversity (PD) in particular is one of the most prominent measures of biodiversity, and is based on the idea that biological features accumulate along the edges of phylogenetic trees that are summed. We argue that PD and many other phylogenetic biodiversity metrics fail to capture an essential process that we term attrition. Attrition is the gradual loss of features and other sources of variety through causes other than extinction. Here we introduce `EvoHeritage', a generalisation of PD that is founded on the joint processes of accumulation and attrition of features. We argue that whilst PD measures evolutionary history, EvoHeritage is required to capture a more pertinent subset of evolutionary history including only components that have survived attrition. We show that EvoHeritage is not the same as PD on a tree with scaled edges; instead, accumulation and attrition interact in a more complex non-monophyletic way that cannot be captured by edge lengths alone. This leads us to speculate that the one-dimensional edge lengths of classic trees may be insufficiently flexible to capture the nuances of evolutionary processes. We derive a measure of EvoHeritage and show that it elegantly reproduces species richness and PD at opposite ends of a continuum based on the intensity of attrition. We demonstrate the utility of EvoHeritage in ecology as a predictor of community productivity compared with species richness and PD. We also show how EvoHeritage can quantify living fossils and resolve their associated controversy. We suggest how the existing calculus of PD-based metrics and other phylogenetic biodiversity metrics can and should be recast in terms of EvoHeritage accumulation and attrition.</p>
Data for 'Assessing the value of biodiversity-specific footprinting metrics linked to South American soy trade'
<p>Underlying data for publication 'Assessing the value of biodiversity-specific footprinting metrics linked to South American soy trade'. </p>
Comprehensive conservation planning based on multiple biodiversity metrics
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WEGE: A new metric for ranking locations for biodiversity conservation
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Supplementary material for: Phylogenetic biodiversity metrics should account for both accumulation and attrition of evolutionary heritage
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Figure 5. Pimplinae wasp community metrics against mean monthly temperature across 15 in Variation in a Darwin Wasp (Hymenoptera: Ichneumonidae) Community along an Elevation Gradient in a Tropical Biodiversity Hotspot: Implications for Ecology and Conservation
Figure 5. Pimplinae wasp community metrics against mean monthly temperature across 15 sites. (a) Abundance; (b) Log10 Species Richness; (c) Log10 Simpson's Index (1/D); and (d) Shannon Index. Lines are the equations of the model in Table 3 ± 95%CI. (a) cubic model; (b,d) quadratic models; and (c): linear model.
A database of Defra statutory biodiversity metric unit values for terrestrial habitat samples across England, with plant, butterfly and bird species data
<p>Policies requiring biodiversity no net loss or net gain as an outcome of environmental planning have become more prominent worldwide, catalysing interest in biodiversity offsetting as a mechanism to compensate for development impacts on nature. Offsets rely on credible and evidence-based methods to quantify biodiversity losses and gains. Following the introduction<span> of the United Kingdom's Environment Act in November 2021, all new developments requiring planning permission in England are expected to demonstrate a 10% biodiversity net gain from 2024, calculated using the statutory biodiversity metric framework (Defra, 2023). </span><span>The metric is used to calculate both baseline and proposed post-development biodiversity units, and is </span>set to play an increasingly prominent role in nature conservation nationwide.<span> </span><span>The metric has so far </span>received limited scientific scrutiny.</p> <p><span>This dataset comprises a database of statutory biodiversity metric unit values for terrestrial habitat samples across England. For each habitat sample, we present </span><span>biodiversity units alongside five long-established single-attribute proxies for biodiversity (</span><span>species richness, individual abundance, number of threatened species, mean species range or population, mean species range or population change)</span><span>. </span><span>Data were compiled </span><span>for species from three taxa (vascular plants, butterflies, birds), from sites across England. The dataset includes 24 sites within </span>grassland, wetland, woodland and forest, sparsely vegetated land, cropland, heathland and shrub, i.e. <span>all terrestrial broad habitats except urban and individual trees. Species data were reused from long-term ecological change monitoring datasets</span> (mostly in the public domain), whilst biodiversity units were calculated following field visits. Fieldwork was carried out in April-October 2022 to calculate biodiversity units for the samples. <span>Sites were initially assessed using metric version 3.1, which was current at the time of survey, and were subsequently updated to the statutory metric for analysis using field notes and species data. </span>Species data <span>were derived from </span>24 <span>long-term ecological change monitoring</span> sites across the Environmental Change Network (ECN), Long Term Monitoring Network (LTMN) and Ecological Continuity Trust (ECT), collected between 2010 and 2020.</p>
Changes in forest biodiversity metrics associated with Hurricane Katrina
<p class="MsoNormal">Recurrent tropical cyclones frequently influence warm temperate forests in many coastal regions. If resistance to high winds (cyclone survival) and resilience in altered environments (post-cyclone recruitment) vary with cyclone intensity, then differences in composition, arboreal structure and dynamics of forests should occur in these forests. We hypothesized that major tropical cyclones should produce large, stratum-dependent effects that result in large environmental changes. We anticipate direct regeneration, with post-cyclone forests resembling pre-cyclone forests in composition, but potentially shifting to long-transient alternate states that do not readily or necessarily return to pre-cyclone states. Using a long-term, plot-based study, we explored direct effects of major Hurricane Katrina (sustained winds >50m/sec), as well as initial post-hurricane changes in overstory and understory trees in oak-dominated bottomland and cypress/tupelo-dominated swamp forests within the Mississippi River delta. Hurricane Katrina caused high overall mortality (14% - swamp forest, 25% - bottomland forest), but mortality was concentrated in overstory strata (22% in swamp forests and 70% in bottomland forests). Almost all overstory oaks were killed, while most overstory cypress and tupelo were damaged, but survived and were reduced to understory status. In both forests, many trees of less abundant overstory species (red maples, sweetgum, elms, ash) survived and constitute a slowly reforming overstory via resprouting of survivors and recruitment of understory trees. Thus, forest overstories appear likely to change in dominant species. Understory trees in both forests had high survival and responded post-cyclone. Nonetheless, one usurper species, dwarf palmetto, with high resistance and high resilience, now forms a dense arboreal layer in the understory stratum, dominating an alternate state with different overstory and closed understory capable of suppressing recruitment and establishment of overstory and understory species. Resistance and resilience of overstory and understory tree species that vary with cyclone intensity might result in prolonged alternate states in cyclone-frequented forests.</p>
Changes in forest biodiversity metrics associated with Hurricane Katrina
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Data from: Biodiversity comparison among phylogenetic diversity metrics and between three North American prairies
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A database of Defra statutory biodiversity metric unit values for terrestrial habitat samples across England, with plant, butterfly and bird species data
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WEGE: A NEW METRIC FOR RANKING LOCATIONS FOR BIODIVERSITY CONSERVATION
<p>Here you will find all the maps produced in the paper "WEGE: A NEW METRIC FOR RANKING LOCATIONS FOR BIODIVERSITY CONSERVATION" that didn't make it into the main MS.</p> <p>It includes global grided maps at 100km x 100km and 20km x 20km of KBA triggering cells, EDGE, ED, WE, ER and our newly developed WEGE index for all amphibians, mammals and birds assessed by IUCN.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.