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78 results for “Ecological restoration”
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.
Ecology and restoration of montane meadows at Bunchgrass Ridge near the Andrews Experimental Forest, 1999-2013
In a region dominated by coniferous forests, montane meadows contribute greatly to landscape diversity, wildlife habitat, and other important ecological functions and societal values. Throughout the Pacific Northwest, suppression of fire and changes in climate and grazing pressure have led to rapid succession of meadow to forest. Faced by gradual loss of these habitats, land managers are experimenting with tree removal and prescribed fire as tools for restoration. Research at Bunchgrass Ridge explores the history of conifer encroachment, the consequences for meadow vegetation, and the potential to restore native meadows through tree removal and prescribed burning. Spatially explicit reconstructions of the invasion history provide the context for a large-scale restoration experiment testing the efficacy of tree removal, with or without prescribed fire. Measurements from the experimental plots include pre- and post-treatment data on plant species composition for subplots of known invasion history. Data from adjacent, uninvaded meadows serve as targets for assessing restoration success. Our ultimate goal is to determine whether tree removal is sufficient to reverse the effects of encroachment, whether fire is also necessary, and whether the duration or density of invasion pose barriers to meadow reassembly.
Beyond the passive–active dichotomy: aligning research with the intervention continuum framework of ecological restoration
<p>The dataset and R script file are associated with the publication, "Krishnan, A. and Osuri, A.M. (2022), Beyond the passive-active dichotomy: aligning research with the intervention continuum framework of ecological restoration. Restoration Ecology:e13828. https://doi.org/10.1111/rec.13828"</p> <p>Please refer to the readme.txt file for more information on the dataset and analyses.</p>
The 30 m land cover dataset for capturing land cover changes induced by ecological restoration from 1990 to 2022 on the Chinese Loess Plateau
<p>Continuous time-series of land cover is critical for attributing runoff, sediment and carbon changes on the Chinese Loess Plateau (CLP). However, current land cover products with annal temporal resolution lack spatial identification accuracy, particularly in capturing authentic changes of cropland, forest and grassland. To address these issues, a 30 m annual land cover dataset was proposed by the Yellow River Conservancy Commission (YRCC_LPLC) for the CLP from 1990 to 2022. Different levels of land cover were classified using different combinations of spectral, monthly and annual temporal and topographic features and Random Forest classifier. Compared to other land cover products (45.64%–73.38%), the accuracy of YRCC_LPLC has a better performance with an overall accuracy of 85.16%. The YRCC_LPLC is capable of capturing not only the explicit spatial variation but also the change direction and change time of land cover, especially for the most critical conversion of cropland into forest and grassland induced by implementation of Grain to Green Program on the CLP.</p>
Data for Hunting of sika deer over six decades does not restore forest regeneration, Journal of Applied Ecology
<p>Data used for Hunting of sika deer over six decades does not restore forest regeneration.</p>
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Dataset from Pardini, E. A., Parsons, L. S., Ştefan, V., & Knight, T. M. (2018). GLMM BACI environmental impact analysis shows coastal dune restoration reduces seed predation on an endangered plant. Restoration Ecology, 26(6), 1190-1194.
<p>Data and its metadata used in the analysis from the publication: Pardini, E. A., Parsons, L. S., Ştefan, V., & Knight, T. M. (2018). GLMM BACI environmental impact analysis shows coastal dune restoration reduces seed predation on an endangered plant. Restoration Ecology, 26(6), 1190-1194. <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/rec.12678">https://onlinelibrary.wiley.com/doi/full/10.1111/rec.12678</a> </p>
Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
<p>Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH<sub>4</sub><sup>+</sup>-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.</p>
Fig. 1 in Conserving biodiversity through ecological restoration: the potential contributions of botanical gardens and arboreta
Fig. 1. − Restoration in action. A. Remnant native forest being restored by protection, enrichment planting of native species, and the elimination of fire through using fire breaks; B. Firebreaks and controlled burning protect native forest from annual fires that burn throughout much of Madagascar's central plateau; C. Thicket vegetation with a monoculture of common buckthorn (Rhamnus cathartica L.), one of the region's worst invasive species; D. View of a section of McDonald Woods that has been restored by removing buckthorn, planting seedlings of native species, and returning the prescribed fire regime.
Fig. 1 in Conserving biodiversity through ecological restoration: the potential contributions of botanical gardens and arboreta
Fig. 1. − Restoration in action. A. Remnant native forest being restored by protection, enrichment planting of native species, and the elimination of fire through using fire breaks; B. Firebreaks and controlled burning protect native forest from annual fires that burn throughout much of Madagascar's central plateau; C. Thicket vegetation with a monoculture of common buckthorn (Rhamnus cathartica L.), one of the region's worst invasive species; D. View of a section of McDonald Woods that has been restored by removing buckthorn, planting seedlings of native species, and returning the prescribed fire regime. [A-B: Ankafobe forest, Madagascar, a restoration site run by the Missouri Botanical Garden; C-D:McDonald Woods, Chicago Botanical Garden, U.S.A.] [Photos: A: J. Leighton Reid; B: C. Birkinshaw; C-D: J. Steffen]
Social-ecological dynamics of quarry restoration: a Flickr data analysis
<div> <div> <div> <p><span>With increasing urbanization and demand for construction materials, quarries have become central to the recovery of degraded landscapes into spaces that offer ecological, but also social benefits. While ecological restoration has long been investigated, integrated social-ecological restoration of post-mining landscapes remains underexplored. The overall aim of this study is to assess the perceptions of cultural ecosystem services and landscape features expressed in social media posts about quarries in Germany, Denmark, and the Czech Republic. We focus on concepts of cultural ecosystem services and landscape features to investigate the interactions between humans and restored ecosystems. Using a mixed-methods approach, we analyzed 1,660 geotagged photographs from 50 quarries across three regions: Berlin, Roskilde, and the Czech Karst. Flickr social media images were analyzed to elicit the richness of cultural ecosystem services (CES) and landscape features (LF), highlighting popular quarries and their social-ecological significance. Our results indicate that rehabilitated quarries exhibit higher CES richness than abandoned or operational ones, and that accessibility significantly influences public engagement. Our study demonstrates that once primarily industrial sites, quarries can evolve into vibrant social-ecological systems that provide diverse landscape features and cultural ecosystem services. It also points to the potential of social media data for designing restoration efforts from a social-ecological perspective. Such an approach provides insights into public perceptions of restored landscapes and may inform future restoration strategies. </span></p> <p> This dataset includes: (1) the review protocol, (2) a list of place names used for data collection on Flickr when posts were not geolocated, (3) data on landscape features and cultural ecosystem services identified in Flickr posts from 50 study quarries, (4) characteristics of the quarries, and (5) a shapefile of the quarry polygons.</p> <p> </p> <p> </p> </div> </div> </div>
Linked collectors and determiners for: Deer Creek Riparian Restoration Ecological Monitoring.
Natural history specimen data linked to collectors and determiners held within, "Deer Creek Riparian Restoration Ecological Monitoring". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f61e69d1-e79f-4ccb-bd92-56a7cefcf1e4">https://bionomia.net/dataset/f61e69d1-e79f-4ccb-bd92-56a7cefcf1e4</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f61e69d1-e79f-4ccb-bd92-56a7cefcf1e4">https://gbif.org/dataset/f61e69d1-e79f-4ccb-bd92-56a7cefcf1e4</a>. Formatted as a Frictionless Data package.
Data from: A framework to apply trait-based ecological restoration at large scales
<p>R scripts and data to run the proposed framework at</p> <p>Coutinho, A. G., Carlucci, M. B., Cianciaruso, M. V. (2023) A framework to apply trait-based ecological restoration at large scales. Journal of Applied Ecology.</p>
Output raster datasets from Apalachicola Regional Restoration Initiative Open Pine Ecological Condition Model (2023)
<p>Output raster datasets from the 2023 Ecological Condition Model (ECM) for open pine ecosystems in the Apalachicola Regional Restoration Initiative (ARRI) area of the eastern Florida Panhandle. Our goal was to develop an ECM that would span all lands in the Apalachicola Regional Restoration Initiative (ARRI) area. As such, we used only datasets that were available throughout this region and did not rely on any corporate data layers from specific landowners. Furthermore, we sought to assess ecological condition at a high enough resolution to inform management decisions down to the level of individual forest stands. By taking this approach, we hoped to create ecological condition scores that could be used to inform restoration activities across all lands, and which could be updated through time to measure progress and to gauge the effectiveness of management activities.</p> <p>Output raster datasets include ecological condition for canopy, midstory and groundcover/shrub layers as well as overall ecological condition. Each raster contains ranked scores of estimated ecological condition: 1- Excellent, 2- Good, 3-Fair, and 4-Poor. </p> <p>NOTE- These outputs were created using tools stored in this repository: <a href="https://doi.org/10.5281/zenodo.8236853">https://doi.org/10.5281/zenodo.8236853</a> as well as several raster input layers stored in this repository: https://doi.org/10.5281/zenodo.8234220. </p> <p> </p> <p> </p> <p> </p>
Input raster datasets for Apalachicola Regional Restoration Initiative Open Pine Ecological Condition Model (2023)
<p>Input raster datasets used to create an Ecological Condition Model (ECM) for open pine ecosystems in the Apalachicola Regional Restoration Initiative area of the eastern Florida Panhandle. Our goal was to develop an ECM that would span all lands in the Apalachicola Regional Restoration Initiative (ARRI) area. As such, we used only datasets that were available throughout this region and did not rely on any corporate data layers from specific landowners. Furthermore, we sought to assess ecological condition at a high enough resolution to inform management decisions down to the level of individual forest stands. By taking this approach, we hoped to create ecological condition scores that could be used to inform restoration activities across all lands, and which could be updated through time to measure progress and to gauge the effectiveness of management activities.</p> <p> </p> <p> </p>
Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
Open the record for dataset details and reuse information.
An objective-based prioritization approach to support trophic complexity through ecological restoration
Open the record for dataset details and reuse information.
Long Term Research in Environmental Biology (LTREB): California vernal pool plant community ecology and restoration, 2000-2017
This data set includes annual vegetation data and selected water depth data collected during the period 2000-2017 from vernal pool basins that were constructed in 1999 as part of a large-scale vernal pool mitigation effort at Travis Air Force Base, California. The constructed pools covered an area of about 15 Ha and were located adjacent to a complex of naturally-occurring pools, which were used as reference sites for comparison. Five plant species were intentionally seeded into the pools according to five seeding treatment protocols to assess the influence of order of colonization, frequency of colonization, and dispersal limitation on vernal pool plant community assembly. Because water depth was known to influence plant species distributions, water depth was recorded weekly during the winter wet season in selected years for each constructed and reference pool at the site. Seed plots were 50 cm x 50 cm and were permanently marked and used for repeated sampling of vegetation from 2000-2017. For each plant species that occurred in the plots, the frequency of occurrence was recorded as the number of squares out of a 100-cell grid laid over the plot in which that plant species appeared. For the five species that were planted into the plots, the frequency was recorded, as above, but in addition the number of individuals of that species in the plot was also recorded.
Data from: Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia
<p>1. Curbing habitat loss, reducing fragmentation, and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation, and connectivity indices into optimization procedures is an important challenge for improving decision support.</p> <p>2. Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees.</p> <p>3. We applied this approach in a real case study to support managers of the ``Côte Oubliée -- `Woen Vùù -- Pwa Pereeù'' provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility, and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter-patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity.</p> <p>4. Synthesis and applications. Our work contributes to more effective and policy-relevant conservation planning by providing a spatially-explicit and problem-focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio-economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems such as ecological restoration planning, reserve or corridor design.</p>
Reassessing the climate mitigation potential of Chinese ecological restoration: the undiscovered potential of urban areas
<p>The dataset includes urban climate mitigation benefit data for all 371 cities and 1,721 clusters in China, as well as aggregate data of different ecological restoration projects and climate backgrounds. Combining multi-source high-resolution remote sensing data sets and the reanalysis dataset, the absolute value standard deviation method of multiple linear regression is used to extract the largest dominant factor (pixel-by-pixel calculation) of daytime surface temperature in each city except NDVI (as a greening indicator). Then, the time trends of surface temperature, NDVI, and dominant factors were calculated based on the Theil-Sen Median slope estimation method. Finally, based on the linear statistical relationship of the three indicators, the surface temperature trend under the no-greening scenario was constructed, and the difference between the simulated and observed surface temperature trends was used to characterize the urban climate mitigation benefits of the ecological restoration project. The data details are as follows: </p> <p>If you have any questions or comments, please feel free to contact Mr. Dong Xu via <a href="mailto:zhangh573@mail2.sysu.edu.cn">xu.dong@u.nus.edu.</a></p> <table> <tbody> <tr> <td> <p><strong>Data name</strong></p> </td> <td> <p><strong>Spatial resolution</strong></p> </td> <td> <p><strong>Time resolution</strong></p> </td> <td> <p><strong>Source</strong></p> </td> <td> <p><strong>Unit</strong></p> </td> <td> <p><strong>Note</strong></p> </td> </tr> <tr> <td> <p>MOD13A2</p> </td> <td> <p>1000 m</p> </td> <td> <p>16-Day</p> </td> <td> <p>USGS.a</p> </td> <td> <p>/</p> </td> <td> <p>UG index</p> </td> </tr> <tr> <td> <p>MOD11A1</p> </td> <td> <p>1000 m</p> </td> <td> <p>Daily</p> </td> <td> <p>USGS.a</p> </td> <td> <p>Kelvin</p> </td> <td> <p>UST index</p> </td> </tr> <tr> <td> <p>MOD09A1</p> </td> <td> <p>500 m</p> </td> <td> <p>8-Day</p> </td> <td> <p>USGS.a</p> </td> <td> <p>/</p> </td> <td> <p>Calculate IBI index</p> </td> </tr> <tr> <td> <p>ERA5-Land reanalysis dataset</p> </td> <td> <p>10000 m</p> </td> <td> <p>Day</p> </td> <td> <p>ECMWF.b</p> </td> <td> <p>/</p> </td> <td> <p>Sensitivity analysis</p> </td> </tr> <tr> <td> <p>Population density datasets</p> </td> <td> <p>1000 m</p> </td> <td> <p>Annual</p> </td> <td> <p>WorldPop.c</p> </td> <td> <p>/</p> <p> </p> </td> <td> <p>Sensitivity analysis</p> </td> </tr> <tr> <td> <p>Global Urban Boundaries</p> </td> <td> <p>30 m</p> </td> <td> <p>Annual</p> </td> <td> <p>Li et al.</p> </td> <td> <p>/</p> </td> <td> <p>Delineate LUBs</p> </td> </tr> <tr> <td> <p><em>Note:</em> a, United States Geological Survey (https://earthexplorer.usgs.gov/). b, European Centre for Medium-Range Weather Forecasts (https://www.ecmwf.int/). c, WordPop (https://www.worldpop.org/). </p> <p><span>1. </span>Li X, Gong P, Zhou Y, et al. Mapping global urban boundaries from the global artificial impervious area (GAIA) data[J]. Environmental Research Letters, 2020, 15(9): 094044.</p> </td> </tr> </tbody> </table>
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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.