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Spatial patterns of global land management intensity are influenced by socioeconomic, biophysical and behavioural factors

Saxena, Ankita ORCID iD icon 1; Brown, Calum ORCID iD icon 1; Winkler, Karina ORCID iD icon 1; Arneth, Almut; Rounsevell, Mark ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Land systems are increasingly influenced not only by land-use change but also by land management intensity. However, persistent data limitations prevent systematic understanding of management intensity and its dependencies on behavioural, socioeconomic, and biophysical factors. We develop a global dataset of land management intensity for 2020 at 0.01° spatial resolution, distinguishing unmanaged, very extensive, extensive, and intensive management across cropland, pasture, and forest systems. Intensive management occupies about 22 % of global managed land, while extensive and very extensive management dominate (78 %). Intensive cropland management accounts for around 44 % of cropland area, but intensive pasture is limited to 10 % of pasture area, and intensive forest systems to only 5 % of forest area, revealing distinct sectoral contrasts. Management intensity is highly heterogeneous, with intensive cropland concentrated in North America, Europe, and South and East Asia, while extensive management dominates in Africa and Latin America. Five countries account for nearly half of global intensive cropland. Income, market access, population density, and aridity influence cropland management intensity, whereas pastures and forests show more complex relationships. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000196767
Veröffentlicht am 02.09.2026
Originalveröffentlichung
DOI: 10.5194/essd-18-6251-2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 02.09.2026
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000196767
Erschienen in Earth System Science Data
Verlag Copernicus Publications
Band 18
Heft 9
Seiten 6251–6292
Vorab online veröffentlicht am 01.09.2026
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