2021
DOI: 10.17161/bi.v16i1.15483
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Global land-use and land-cover data for ecologists: Historical, current, and future scenarios

Abstract: Land-use land-cover (LULC) data are important predictors of species occurrence and biodiversity threat. Although there are LULC datasets available for ecologists under current conditions, there is a lack of such data under historical and future climatic conditions. This hinders, for example, projecting niche and distribution models under global change scenarios at different times. The Land Use Harmonization Project (LUH2) is a global terrestrial dataset at 0.25o spatial resolution that provides LULC data from … Show more

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Cited by 12 publications
(5 citation statements)
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References 45 publications
(58 reference statements)
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“…For land‐use changes, we assessed the transition among land‐use categories over the last 60 yr. We obtained the land‐use data from Vale et al . (2021), which provides global terrestrial surfaces at 15‐arc‐min resolution with yearly land‐use data. We extracted data between 1960 and 2015 and summarised the original 12 land‐use categories into two broad categories (see Methods S1): VEG: forested and nonforested vegetation; and HU: human use.…”
Section: Methodsmentioning
confidence: 99%
“…For land‐use changes, we assessed the transition among land‐use categories over the last 60 yr. We obtained the land‐use data from Vale et al . (2021), which provides global terrestrial surfaces at 15‐arc‐min resolution with yearly land‐use data. We extracted data between 1960 and 2015 and summarised the original 12 land‐use categories into two broad categories (see Methods S1): VEG: forested and nonforested vegetation; and HU: human use.…”
Section: Methodsmentioning
confidence: 99%
“…Since the target species occur mostly in native vegetation, we limited the predicted distribution using forest cover data from the Land‐Use Harmonization project (LUH2), available at 0.25° × 0.25° spatial resolution (ca. 900 km 2 ) (Hurtt et al, 2020; Vale et al, 2021). We selected land‐cover data from 2000 as historical time and 2060 as future conditions, matching the macroclimatic data (considering the last year of the range date).…”
Section: Methodsmentioning
confidence: 99%
“…We selected land-cover data from 2000 as historical time and 2060 as future conditions, matching the macroclimatic data (considering the last year of the range date). We only used the forest cover categories "forested primary land," "potentially forested secondary land," which refers to Atlantic Forest vegetation, and "rangeland," which refers to Cerrado vegetation (Vale et al, 2021). We attributed the value 1 for forested and rangeland and 0 for everything else.…”
Section: Land-cover Constrainmentioning
confidence: 99%
“…Furthermore, most of our target species benefit from forest physiognomies (electronic supplementary material, figure S2). Forest habitat was calculated as a proportion from LUH2 [51] for near-current and future scenarios at 0.25 dd, so we resampled all other layers through bilinear interpolation to match this resolution. Distance to cave or karst was the only static variable.…”
Section: Methodsmentioning
confidence: 99%