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272 results for “Forest biodiversity”
Figure 2 from: Kipkoech S, Melly DK, Muema BW, Wei N, Kamau P, Kirika PM, Wang Q, Hu G (2020) An annotated checklist of the vascular plants of Aberdare Ranges Forest, a part of Eastern Afromontane Biodiversity Hotspot. PhytoKeys 149: 1-88. https://doi.org/10.3897/phytokeys.149.48042
Figure 2 The classes of vascular plants taxa in Aberdare Ranges Forest.
Bedrock type reversed latitudinal biodiversity gradient patterns in forest communities
<p>The data supporting the findings of the study titled "Bedrock type reversed latitudinal biodiversity gradient patterns in forest communities". Lithology mediated the intrinsicly climatic effects on latitudinal diversity gradient (LDG) through controlling the soil stock as the substrate resource storage capacity and thus forming the opposite LDG pattern in karst forests. </p>
Selected data sets for Marsh et al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'
<p>Data sets used in the for the manuscript <strong>Marsh<em> </em>et<em> </em>al. 2024 'Tropical forest clearance impacts biodiversity and function whereas logging changes structure'</strong>. The DOIs that link to all other data sets used in the publication are available in Tables S2-5 of the supplementary information. The z-score standardised data, and outputs of RMarkdown documents outline all the steps in the processing and analysis of the data are available at https://zenodo.org/uploads/13161799.</p> <p> </p> <p>This repository contains data used for:</p> <h3><strong><em>Mean canopy height</em></strong></h3> <p>Canopy height and vertical profiles of forest structure were compiled using airborne remote sensing with LiDAR collected by NERC’s Airborne Research Facility (ARF) in November 2014, using a Leica ALS50-II LiDAR. A Beer-Lambert approximation was used to convert point clouds to plant area density (PAD) distributions, a similar measure to leaf-area index, but where methods do not distinguish between leaves and branches or trunks. LiDAR measurements for the carbon plots were converted to rasters with 0.5 × 0.5 m cell size. Plots were rotated to a North-South axis if necessary</p> <h3><br><em><strong>Spectral diversity</strong></em></h3> <p>Spectral measurements were made on five leaves attached to tree branches used to measure leaf chemical traits. Leaves were randomly selected but we avoided damaged and young plant material to avoid potential confounding factors. Reflectance spectra (350–2500 nm) were acquired using a FieldSpec 4, produced by Analytical Spectral Devices (ASD, Boulder, Colorado, USA). The spectroradiometer's contact probe was mounted on a clamp and firmly pushed down onto the sample against a black background so that no extraneous light was included in the measurement. Spectral measurements were taken halfway between the petiole and leaf tip, and between the main vein and the leaf edge, with the abaxial surface pointing towards the probe. The readings were calibrated against a Spectralon white reference panel every five samples. Leaf reflectance measured at 430 nm, 660 nm, 1450, 1980 nm and 2350 nm align closely with absorption features for pigments, water content, proteins and cellulose. Spectral diversity calculated from these absorption features can provide an integrated measure of the functional trait variability within plant communities and may be used as a proxy for functional diversity.</p> <p> </p> <h3><em><strong>Liana abundance</strong></em></h3> <p>Percentage liana cover for large canopy and emergent trees. The four quadrants of the canopy were scored as 0 (no lianas), 1 (1-20%), 2 (20-40%), 3 (40-60%), 4 (60-80%) and 5 (80-100%).</p> <p> </p> <h3><em><strong>Leaf-area index<br></strong></em></h3> <p>Leaf area index (LAI) for carbon plots was derived from hemispherical photos (Sigma 8mm SRL fish eye lens and Canon EOS 600D digital camera, mounted on a tripod at 1 m height). Between 5-27 photos were taken over time in each subplot. Images were processed with Hemisfer® software (www.wsl.ch/dienstleistungen/produkte/software/hemisfer/index_EN). LAI was calculated with the method by Thimonier et <em>al</em>. (2010) <em>European Journal of Forest Research</em> 129, 543–562 (2010), with a canopy clumping correction applied from Chen & Cihlar (1995) <em>IEEE Transactions on Geoscience and Remote Sensing</em> 33, 777–787.</p> <p> </p> <h2>Funding</h2> <p>Analyses were carried out, and data were collected, as part of the BALI (Biodiversity And Land-use Impacts on tropical ecosystem function) using the following funding:</p> <ul> <li>NERC's Human Modified Tropical Forests research programme (grant number NE/K016377/1 awarded to the BALI consortium)</li> <li>MHN was supported by a PhD scholarship from the Conselho Nacional de Pesquisa e Desenvolvimento (CNPq, grant No. 201516/2014-4) from Brazil</li> </ul>
Biodiversity benefits of China's 20-year efforts in forest restoration
<p>China has become the global leader in forest restoration, through unprecedented investment and various large-scale programs since 2000. Nevertheless, the overall biodiversity outcomes of these efforts remain to be resolved. Here, using 402 non-migratory forest bird species as indicators, we assessed biodiversity changes from 2000 to 2020 at a national scale, controlling for the effects of climate change by using an ecological niche modeling framework. We found substantial biodiversity benefits linked to the expansion of forest extent and the improvement in forest structure, with 73.6% of avian species experiencing habitat expansion and mean species richness increasing by 2.886 ± 8.418. Protection-focused and afforestation-dominated restoration programs both effectively enhanced biodiversity, with planted forests performing similarly to natural forests over this period. Key factors facilitating this enhancement included tree cover and canopy structural complexity. Our findings suggest that restoring planted forests in degraded landscapes can provide substantial biodiversity benefits, although this should incorporate mixed tree species silviculture practices to enhance the structural complexity of planted forests. This study highlights China’s achievements but also the potential risks involved in forest and biodiversity restoration, and provides general insights for the optimization of future restoration policy and management in China and beyond.</p>
Figure 1 from: Jacobs JM, Bergeron JAC (2017) Addition of a new Quedius Steph. (Coleoptera, Staphylinidae) species to the biodiversity of Albertan mixedwood forest, Canada. ZooKeys 668: 61-68. https://doi.org/10.3897/zookeys.668.12320
Figure 1 - Dorsal habitus of Quedius spencei, sp. n.
No evidence of increased forest loss from a mining rush in a biodiversity hotspot
<p>This repository contains the data and code used in the study entitled 'No evidence of impacts from a mining rush in a protected forest'. 2024. Authors: Katie Devenish, Simon Willcock, Kathryn M. Goodenough, Rio Heriniaina, O. Sarobidy Rakotonarivo, Julia P.G. Jones.</p> <p>The main focus of this study was an evaluation of the impacts of the 2016-17 sapphire rush at Bemainty in Eastern Madagascar on deforestation and forest degradation (temporary tree cover loss). We used the Tropical Moist Forests (TMF) data (Vancutsem et al., 2021) to measure forest changes and the synthetic control method to estimate counterfactual outcomes. Supplementary data from informal interviews and lemur surveys conducted in the field October - November 2019 by Rio Heriniaina were drawn upon to explore the wider impacts and trade-offs of the mining rush, and assess the health of lemur populations 2 years after the rush. </p> <p>This repository contains the raw interview and lemur survey data collected by Rio Heriniaina at Bemainty October - November 2019. It also contains the code (entitled Script_updated_for_publication), spatial data, and input data required to reproduce the results from the main forest loss analysis. </p> <p>Data on deforestation and degradation was obtained from the Tropical Moist Forests dataset (Vancutsem et al, 2021). Annual deforestation was measured using the Deforestation year data. Annual deforestation per drainage basin was calculated in ArcGIS and is already contained within the attributes of the basins layer (Mada_basins_Lev9_edited_final).</p> <p>However, annual degradation data was obtained by adapting the TMF rawAnnual Disruptions data in Google Earth Engine. The output of this process (Annual_Disruptions_YEAR_masked) was loaded into R and annual degradation calculated per drainage basin. Annual deforestation and degradation rates were calculated as a percentage of forest cover in each drainage basin at the start of each year. To obtain annual forest cover estimates for each sub-basin we reclassified the TMF Annual Change datasets and extracted forest area per sub-basin. Both of these processes were extremely computationally expensive. The code includes these steps, but also contains an option (Option 1) to skip these steps by uploading csv files of annual forest cover (For_Area_ext2_21_04) and annual degradation per basin (Deg_Area_ext2_21_04) included in this repository. This data can be joined back to the basins layer. This allows users to skip this computationally expensive stage and progress straight to the analysis. The For90 layer (Vieilledent et al., 2018) and the Annual Disruptions data (Annual_Disruptions_YEAR_masked) are only needed if following Option 2 in the code.</p> <p> </p>
Figure C2 from: Riley Peterson KN, Browne RA, Erwin TL (2021) Carabid beetle (Coleoptera, Carabidae) richness, diversity, and community structure in the understory of temporarily flooded and non-flooded Amazonian forests of Ecuador. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 831-876. https://doi.org/10.3897/zookeys.1044.62340
Figure C2 Number of rare morphospecies for the FP and TF forest (P = 0.04).
Figure 7 from: Riley Peterson KN, Browne RA, Erwin TL (2021) Carabid beetle (Coleoptera, Carabidae) richness, diversity, and community structure in the understory of temporarily flooded and non-flooded Amazonian forests of Ecuador. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 831-876. https://doi.org/10.3897/zookeys.1044.62340
Figure 7 Rank abundance distribution curves for FP (blue squares) and TF (green circles) forests.
Initiatives to monitor and manage biodiversity, and best practices in sustainable tourism in the Atlantic Forest Trail
Open the record for dataset details and reuse information.
FIGURE 1 in A protocol for online documentation of spider biodiversity inventories applied to a Mexican tropical wet forest (Araneae, Araneomorphae)
FIGURE 1. Diagram for the one-hectare plot sampled and its 16 subdivisions. Grey path indicates the creek that ran throughit. Black path indicates the access trail. Ovals indicate the position of the pitfall traps.
FIGURE 2 in A protocol for online documentation of spider biodiversity inventories applied to a Mexican tropical wet forest (Araneae, Araneomorphae)
FIGURE 2. Schematic diagram for website protocol. Green squares indicate that the data are provided by the user. Red squares indicate data produced by Perl. Blue squares indicate data produced by Excel.
FIGURE 6 in A protocol for online documentation of spider biodiversity inventories applied to a Mexican tropical wet forest (Araneae, Araneomorphae)
FIGURE 6. Methods and seasonality diversity indices and Jaccard similarity analyses. A, similarity and Shannon diversity indices for methods. B, similarity and Shannon diversity indices for the collecting months representing seasonality.
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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.