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patchid209.tif (8.49 MB)

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patchstats82.csv (1.87 MB)

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patchstats92.csv (419.12 kB)

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patchstats101.csv (821.82 kB)

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patchstats103.csv (1.69 MB)

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patchstats108.csv (508.03 kB)

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patchstats113.csv (2.05 MB)

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patchstats134.csv (838.53 kB)

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patchstats135.csv (313.91 kB)

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patchstats136.csv (544.62 kB)

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patchstats147.csv (15.68 kB)

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patchstats166.csv (841.9 kB)

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patchstats179.csv (3.15 MB)

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patchstats182.csv (648.6 kB)

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patchstats188.csv (1.74 MB)

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patchstats207.csv (1.33 MB)

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patchstats78.csv (5.49 MB)

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patchstats75.csv (622.22 kB)

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patchstats1.csv (705.13 kB)

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patchstats2.csv (259.3 kB)

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Global synthesis of conservation studies reveals the importance of small habitat patches for biodiversity

Version 2 2018-11-23, 02:25

Version 1 2018-11-23, 02:18

dataset

posted on 2018-11-23, 02:25 authored by BRENDAN WINTLEBRENDAN WINTLE

This is the full dataset used in the manuscript Wintle et al. (2018) Global synthesis of conservation studies reveals the importance of small habitat patches for biodiversity. To reproduce the analysis, simply load all of the files into a folder called 'data_for_web', open the Rproject in RStudio, and implement the scripts in the RScript 'small patches model - FINAL.R'. You may need to load in the RLibraries 'raster', 'effects' and 'spdep'. Contact brendanw@unimelb.edu.au if you have any problems.