Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
71
datasets available to search
ShareScore release 0.9.0
Dataset results
71 results for “conservation planning”
Environmental and geographic variables are effective surrogates for genetic variation in conservation planning
<p><strong>Environmental and geographic variables are effective surrogates for genetic variation in conservation planning</strong></p> <p>Jeffrey O. Hanson, Jonathan R. Rhodes, Cynthia Riginos, Richard A. Fuller.</p> <p>Correspondence should be addressed to jeffrey.hanson@uqconnect.edu.au.</p> <p><em>Research summary</em></p> <p>Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representing adaptive and neutral intra-specific genetic variation. We obtained occurrence and genetic data from the IntraBioDiv project for 27 plant species collected over the European Alps using a gridded sampling scheme. For each species, we identified loci that were potentially under selection using outlier loci methods, and mapped their main gradients of adaptive and neutral genetic variation across the grid cells. We then used the cells as planning units to prioritize protected area acquisitions. First, we verified that the spatial patterns of environmental and geographic variation were correlated, respectively, with adaptive and neutral genetic variation. Second, we showed that these surrogates can predict the proportion of genetic variation secured in randomly generated solutions. Finally, we discovered that solutions based only on surrogate information secured substantial amounts of adaptive and neutral genetic variation. Our work paves the way for widespread integration of surrogates for genetic variation into conservation</p> <p><em>Overview</em></p> <p>This repository contains the data and source code that underpins the findings in our manuscript "Environmental and geographic variables are effective surrogates for genetic variation in conservation planning".</p> <p>To rerun all computational analyses, run `make clean && make all`.</p> <ul> <li>article <ul> <li>manuscript main text, figures, and supporting information</li> </ul> </li> <li>code <ul> <li>R: scripts used to run the analysis</li> <li>parameters: files used to run analysis in TOML format</li> <li>rmarkdown: files used to compile them manuscript</li> </ul> </li> <li>data <ul> <li>raw: raw data used to run the analysis</li> <li>intermediate_ results generated during processing</li> <li>final: results used in the paper</li> </ul> </li> </ul> <p><em>Software required</em></p> <ul> <li>Operating system <ul> <li>Ubuntu (Trusty 14.04 LTS)</li> </ul> </li> <li>Programs <ul> <li>[R (version 3.3.2)](https://www.r-project.org)</li> <li>GNU make</li> <li>pandoc (version 1.16.0.2+)</li> <li>Gurobi (version 7.0.2; academic licenses are available for no cost)</li> <li>LaTeX</li> </ul> </li> </ul>
Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software
<p>Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software</p> <p>Published in:<br> Stralberg, D., A. Camfield, M. Carlson, C. Lauzon, N. K. S. Barker, A. Westwood, and F. K. A. Schmiegelow. in press. Strategies for identifying priority areas for songbird conservation in Canada's boreal forest. Avian Conservation and Ecology.</p> <p>Scenarios: <br> -----------------<br> # Name<br> 1 Representation<br> 2 Representation + Disturbance<br> 3 Representation + BCR Strata<br> 4 Representation + BCR Strata + Disturbance<br> 5 Representation + Forest Birds<br> 6 Representation + Disturbance + Forest Birds<br> 7 Representation + BCR Strata + Forest Birds <br> 8 Representation + BCR Strata + Disturbance + Forest Birds<br> 9 Representation + Conservation Status<br> 10 Representation + Disturbance + Conservation Status<br> 11 Representation + BCR Strata + Conservation Status<br> 12 Representation + BCR Strata + Disturbance + Conservation Status<br> 13 Representation + Forest Birds + Conservation Status<br> 14 Representation + Disturbance + Forest Birds + Conservation Status<br> 15 Representation + BCR Strata + Forest Birds + Conservation Status<br> 16 Representation + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 17 Representation + Current Uncertainty<br> 18 Representation + Current Uncertainty + Disturbance<br> 19 Representation + Current Uncertainty + BCR Strata<br> 20 Representation + Current Uncertainty + BCR Strata + Disturbance<br> 21 Representation + Current Uncertainty + Forest Birds<br> 22 Representation + Current Uncertainty + Disturbance + Forest Birds<br> 23 Representation + Current Uncertainty + BCR Strata + Forest Birds<br> 24 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 25 Representation + Current Uncertainty + Conservation Status<br> 26 Representation + Current Uncertainty + Disturbance + Conservation Status<br> 27 Representation + Current Uncertainty + BCR Strata + Conservation Status<br> 28 Representation + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 29 Representation + Current Uncertainty + Forest Birds + Conservation Status<br> 30 Representation + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 31 Representation + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 32 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 33 Representation + Current/Future Uncertainty<br> 34 Representation + Current/Future Uncertainty + Disturbance<br> 35 Representation + Current/Future Uncertainty + BCR Strata<br> 36 Representation + Current/Future Uncertainty + BCR Strata + Disturbance<br> 37 Representation + Current/Future Uncertainty + Forest Birds<br> 38 Representation + Current/Future Uncertainty + Disturbance + Forest Birds<br> 39 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 40 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 41 Representation + Current/Future Uncertainty + Conservation Status<br> 42 Representation + Current/Future Uncertainty + Disturbance + Conservation Status<br> 43 Representation + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 44 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 45 Representation + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 46 Representation + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 47 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 48 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 49 Representation + Future Uncertainty<br> 50 Representation + Future Uncertainty + Disturbance<br> 51 Representation + Future Uncertainty + BCR Strata<br> 52 Representation + Future Uncertainty + BCR Strata + Disturbance<br> 53 Representation + Future Uncertainty + Forest Birds<br> 54 Representation + Future Uncertainty + Disturbance + Forest Birds<br> 55 Representation + Future Uncertainty + BCR Strata + Forest Birds<br> 56 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 57 Representation + Future Uncertainty + Conservation Status<br> 58 Representation + Future Uncertainty + Disturbance + Conservation Status<br> 59 Representation + Future Uncertainty + BCR Strata + Conservation Status<br> 60 Representation + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 61 Representation + Future Uncertainty + Forest Birds + Conservation Status<br> 62 Representation + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 63 Representation + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 64 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 65 Diversity<br> 66 Diversity + Disturbance<br> 67 Diversity + BCR Strata<br> 68 Diversity + BCR Strata + Disturbance<br> 69 Diversity + Forest Birds<br> 70 Diversity + Disturbance + Forest Birds<br> 71 Diversity + BCR Strata + Forest Birds <br> 72 Diversity + BCR Strata + Disturbance + Forest Birds<br> 73 Diversity + Conservation Status<br> 74 Diversity + Disturbance + Conservation Status<br> 75 Diversity + BCR Strata + Conservation Status<br> 76 Diversity + BCR Strata + Disturbance + Conservation Status<br> 77 Forest Birds + Conservation Status<br> 78 Disturbance + Forest Birds + Conservation Status<br> 79 BCR Strata + Forest Birds + Conservation Status<br> 80 BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 81 Diversity + Current Uncertainty<br> 82 Diversity + Current Uncertainty + Disturbance<br> 83 Diversity + Current Uncertainty + BCR Strata<br> 84 Diversity + Current Uncertainty + BCR Strata + Disturbance<br> 85 Diversity + Current Uncertainty + Forest Birds<br> 86 Diversity + Current Uncertainty + Disturbance + Forest Birds<br> 87 Diversity + Current Uncertainty + BCR Strata + Forest Birds<br> 88 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 89 Diversity + Current Uncertainty + Conservation Status<br> 90 Diversity + Current Uncertainty + Disturbance + Conservation Status<br> 91 Diversity + Current Uncertainty + BCR Strata + Conservation Status<br> 92 Diversity + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 93 Diversity + Current Uncertainty + Forest Birds + Conservation Status<br> 94 Diversity + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 95 Diversity + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 96 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 97 Diversity + Current/Future Uncertainty<br> 98 Diversity + Current/Future Uncertainty + Disturbance<br> 99 Diversity + Current/Future Uncertainty + BCR Strata<br> 100 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance<br> 101 Diversity + Current/Future Uncertainty + Forest Birds<br> 102 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds<br> 103 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 104 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 105 Diversity + Current/Future Uncertainty + Conservation Status<br> 106 Diversity + Current/Future Uncertainty + Disturbance + Conservation Status<br> 107 Diversity + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 108 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 109 Diversity + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 110 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 111 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 112 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 113 Diversity + Future Uncertainty<br> 114 Diversity + Future Uncertainty + Disturbance<br> 115 Diversity + Future Uncertainty + BCR Strata<br> 116 Diversity + Future Uncertainty + BCR Strata + Disturbance<br> 117 Diversity + Future Uncertainty + Forest Birds<br> 118 Diversity + Future Uncertainty + Disturbance + Forest Birds<br> 119 Diversity + Future Uncertainty + BCR Strata + Forest Birds<br> 120 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 121 Diversity + Future Uncertainty + Conservation Status<br> 122 Diversity + Future Uncertainty + Disturbance + Conservation Status<br> 123 Diversity + Future Uncertainty + BCR Strata + Conservation Status<br> 124 Diversity + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 125 Diversity + Future Uncertainty + Forest Birds + Conservation Status<br> 126 Diversity + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 127 Diversity + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 128 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status</p> <p><br> Projection information<br> -------------------<br> "+proj=lcc +lat_1=49 +lat_2=77 +lat_0=0 +lon_0=-95 +x_0=0 +y_0=0 +ellps=GRS80 +units=m +no_defs"<br> -------------------<br> Projection LAMBERT<br> Spheroid GRS80<br> Units METERS<br> Zunits NO<br> Xshift 0.0<br> Yshift 0.0<br> Parameters <br> 49 0 0.0 /* 1st standard parallel<br> 77 0 0.0 /* 2nd standard parallel<br> -95 0 0.0 /* central meridian<br> 0 0 0.0 /* latitude of projection's origin<br> 0.0 /* false easting (meters)<br> 0.0 /* false northing (meters)</p>
Data for: Habitat functionality: integrating environmental and geographic space in niche modelling for conservation planning
<p>Niche modelling is typically used to assess the effects of anthropogenic land use and climate change on species distributions and to inform spatial conservation planning. These models focus on the suitability of local biotic and abiotic conditions for a species in environmental space (E-space). Although movements also affect species occurrence, efforts to formally integrate geographic space (G-space) into niche modelling have been hindered by the lack of comprehensive theoretical frameworks. </p> <p>We propose the 'functional habitat' framework to define areas that are simultaneously of high-quality in E-space and functionally connected to other suitable habitat in G-space. Originating in metapopulation ecology, approaches have been developed to assess the amount of suitable connected habitat, based on the proximity between pairs of locations. Using network theory, which operates in topological space (T-space, defined by a network), we extended these metapopulation approaches to integrate movement constraints in G-space with niche modelling in E-space. </p> <p>We demonstrate the functional habitat framework using empirical data (GPS-tracking and population monitoring) throughout the European wild mountain reindeer (<em>Rangifer t. tarandus</em>) distribution range. We show that functional habitat outperforms traditional suitability in explaining the species' distribution. This approach integrates effects from habitat loss and fragmentation for spatial conservation planning and avoids overemphasizing small, inaccessible areas with locally suitable habitat. The functional habitat framework formally integrates biotic, abiotic, and movement constraints in niche modeling using network theory, thus opening a wide range of applications in spatial conservation planning.</p>
Data from: Sensitivity analysis of conservation targets in systematic conservation planning
Open the record for dataset details and reuse information.
Wind-bat habitat conservation plans (up through 2022) and cost analysis
Open the record for dataset details and reuse information.
Data from: A comprehensive evaluation of flowering plant diversity and conservation priority for national park planning in China
Open the record for dataset details and reuse information.
Data from: Ecological niche modelling for conservation planning of an endemic snail in the verge of becoming a pest in cardamom plantations in the Western Ghats biodiversity hotspot
Open the record for dataset details and reuse information.
Canada's common law species at risk legislation scoring rubric and provincial conservation plans for listed species at risk
Open the record for dataset details and reuse information.
Data from: What data to use for forest conservation planning? A comparison of coarse open and detailed proprietary forest inventory data in Finland
Open the record for dataset details and reuse information.
Data for: Habitat functionality: integrating environmental and geographic space in niche modelling for conservation planning
Open the record for dataset details and reuse information.
Data from: The value of time-series data for conservation planning
Open the record for dataset details and reuse information.
Data from: Catchment zoning for freshwater conservation: refining plans to enhance action on the ground
Open the record for dataset details and reuse information.
Combining conservation status and species distribution models for planning assisted colonisation under climate change
Open the record for dataset details and reuse information.
Data from: Postglacial range expansion shaped the spatial genetic structure in a marine habitat-forming species: implications for conservation plans in the Eastern Adriatic Sea
Open the record for dataset details and reuse information.
Data from: Conservation planning for offsetting the impacts of development: a case study of biodiversity and renewable energy in the Mojave Desert
Open the record for dataset details and reuse information.
Data from: Phylogenetically informed spatial planning is required to conserve the mammalian tree of life
Open the record for dataset details and reuse information.
Conservation planning across realms: enhancing connectivity for multi-realm species
Open the record for dataset details and reuse information.
Predictive genetic plan for a captive population of the Chinese goral (Naemorhedus griseus) and prescriptive action for ex situ and in situ conservation management in Thailand
Open the record for dataset details and reuse information.
Assessing the effectiveness of a forest Habitat Conservation Plan for a threatened seabird, the marbled murrelet
Open the record for dataset details and reuse information.
Supplementary material 1 from: Hong Qu H, Wang C-J, Zhang Z-X (2018) Planning priority conservation areas under climate change for six plant species with extremely small populations in China. Nature Conservation 25: 89-106. https://doi.org/10.3897/natureconservation.25.20063
Table S1, S2; Figure S1, S2 : Explanation note:
ScienceDex guides
Understand access before you commit
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.