A 1 km global cropland dataset from 10 000 BCE to 2100 CE
<p>Cropland greatly impacts food security, energy supply, biodiversity, biogeochemical cycling, and climate change. Accurately and systematically understanding the effects of agricultural activities requires cropland spatial information with high resolution and a long time span. In this study,...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/281584660a4c4e9d880e4443bfa83624 |
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| Sumario: | <p>Cropland greatly impacts food security, energy supply,
biodiversity, biogeochemical cycling, and climate change. Accurately and
systematically understanding the effects of agricultural activities requires
cropland spatial information with high resolution and a long time span. In
this study, the first 1 km resolution global cropland proportion dataset for
10 000 BCE–2100 CE was produced. With the cropland map initialized in 2010 CE, we first harmonized the cropland demands extracted from the History
Database of the Global Environment 3.2 (HYDE 3.2) and the Land-Use
Harmonization 2 (LUH2) datasets and then spatially allocated the demands
based on the combination of cropland suitability, kernel density, and other
constraints. According to our maps, cropland originated from several
independent centers and gradually spread to other regions, influenced by
some important historical events. The spatial patterns of future cropland
change differ in various scenarios due to the different socioeconomic
pathways and mitigation levels. The global cropland area generally shows an
increasing trend over the past years, from <span class="inline-formula">0×10<sup>6</sup> km<sup>2</sup></span> in 10 000 BCE
to <span class="inline-formula">2.8×10<sup>6</sup> km<sup>2</sup></span> in 1500 CE, <span class="inline-formula">6.2×10<sup>6</sup> km<sup>2</sup></span> in 1850 CE,
and <span class="inline-formula">16.4×10<sup>6</sup> km<sup>2</sup></span> in 2010 CE. It then follows diverse trajectories
under future scenarios, with the growth rate ranging from 16.4 % to
82.4 % between 2010 CE and 2100 CE. There are large area disparities among
different geographical regions. The mapping result coincides well with
widely used datasets at present in both distribution pattern and total
amount. With improved spatial resolution, our maps can better capture the
cropland distribution details and spatial heterogeneity. The
spatiotemporally continuous and conceptually consistent global cropland
dataset serves as a more comprehensive alternative for long-term earth
system simulations and other precise analyses. The flexible and efficient
harmonization and downscaling framework can be applied to specific regions
or extended to other land use and cover types through the adjustable parameters
and open model structure. The 1 km global cropland maps are available at
<a href="https://doi.org/10.5281/zenodo.5105689">https://doi.org/10.5281/zenodo.5105689</a> (Cao et al., 2021a).</p> |
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