Skip to main content
zenodoopen

Dataset, analyses and figures for the paper "Alarming patterns of mature forest loss in the Brazilian Atlantic Forest"

<div>The Repository.7z file in this data publication contains the GIS Folder (data, QGIS project), analysis, tables and figures used for the article <strong>"Alarming patterns of mature forest loss in the Brazilian Atlantic Forest",&nbsp;</strong>published in<strong> Nature Sustainability.</strong></div> <div>&nbsp;</div> <div>The GIS project was built under QGIS 3.38.1 and contains as layers :</div> <div><br>1) <strong><em>pol_deforestation_EPSG5880_final</em></strong> - polygons of all deforested areas from 2010 to 2020</div> <div>Attributes:</div> <ul> <li> <ul> <li><strong><em>ID</em></strong> - polygon identifier</li> <li><strong><em>UF</em></strong> - Brazilian states</li> <li><strong><em>area_ha</em></strong> - deforestation area in hectare</li> <li><strong><em>ClassDF</em></strong> - include the period deforestation was observed. E.g. "Decremento ....2016-2017" = deforestation between 2016-2017.</li> <li><strong><em>phisiognomy</em></strong> - original Atlantic Forest Physiognomy according to Atlantic Forest Law map</li> <li><strong><em>LUC</em></strong> - LandUse and cover legend.&nbsp; <ul> <li>Aa, An, and R = Water body (W)</li> <li>CAp = Permanente crop (PC)</li> <li>CAt and CAs = Temporary crop (TC)</li> <li>I and MV = Infrastructure (I)</li> <li>M = Mining (M)</li> <li>P = Pasture (P)</li> <li>S = Silviculture (S)</li> <li>U&nbsp; = Urbanization (U)</li> <li>VSa = Medium secondary vegetation (SV2)</li> <li>VSf = Advanced secondary vegetation (SV3)</li> <li>VSi = Early secondary vegetation (SV1)</li> </ul> </li> <li><em><strong>UC_</strong></em> atributes related to Protected Areas intersected by deforestation polygons</li> <li><strong><em>QL_</em></strong> atributes related to Quilombola lands intersected by deforestation polygons</li> <li><strong><em>TI_</em></strong> atributes related to Indigenous lands intersected by deforestation polygons</li> <li><strong><em>CAR_Pequen </em></strong>indicates the fraction of deforested area (hectare) of that polygon within small properties</li> <li><strong><em>CAR_Medio</em></strong> indicates the fraction of deforested area (hectare) of that polygon within medium properties</li> <li><strong><em>CAR_Pequen</em></strong> indicates the fraction of deforested area (hectare) of that polygon within Large properties</li> <li><em><strong>ST_ atributes</strong></em> related to agrarian settlement projects intersected by deforestation polygons</li> </ul> </li> </ul> <div>&nbsp;</div> <div>2) <strong><em>pol_deforestation_EPSG5880_final_centroid</em></strong></div> <div>Centroids of deforested areas polygons</div> <div>&nbsp;</div> <div>3) <strong><em>Remaining_atlanticforest_2010_EPSG5880</em></strong></div> <div>contain mask of remaining vegetation in the Atlantic Forest in 2010 with the Brazilian state, vegetation class (Mata = Forest type; Mangue and Restinga = vegetation typical of coastal zones), and total area they were associated with.</div> <div>&nbsp;</div> <div>4) <strong><em>AtlanticForestLaw_Albers_sirgas 2000</em></strong> - polygon of Atlantic Forest boundary according to Atlantic Forest Law 11.428/2006. The polygon is classified by Atlantic Forest physiognomies in "FITO" attribute.</div> <div>&nbsp;</div> <div>5) <strong>Goup LandTenure</strong> - layers related to each land tenure</div> <ul> <li> <ul> <li>suffix '_EPSG5880_deforestation_centroid' the centroids of each land tenure intersected by deforestation polygon</li> <li>prefix 'Remaining_atlanticforest_2010_EPSG5880_' the atlantic forest vegetation remaining in each land tenure in 2010</li> </ul> </li> </ul> <div>&nbsp;</div> <div>6)&nbsp;<strong>Group Hotspots</strong> - layers related to deforestation hotspot analyses.</div> <div>&nbsp;</div> <div>7) <strong>Group </strong><strong>Physiognomies</strong> - layers related to Atlantic forest biome and its physiognomies</div>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8