Preprints
https://doi.org/10.5194/essd-2026-482
https://doi.org/10.5194/essd-2026-482
02 Jul 2026
 | 02 Jul 2026
Status: this preprint is currently under review for the journal ESSD.

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

Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell

Abstract. Land systems are increasingly influenced not only by land-use change but also by land management intensity. However, there limitations exist in data and in systematic understanding of management intensity and how it is shaped by socioeconomic, biophysical and human behaviour. 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 influences cropland management intensity, whereas pastures and forests show more complex relationships. Comparison with global land decision-making types shows spatial consistency (68 %), suggesting that land management intensity is influenced by land-user behaviour.

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Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell

Status: open (until 08 Aug 2026)

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Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell

Data sets

Global Gridded Land Management Dataset at 0.01-degrees Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell https://zenodo.org/records/18249970

Interactive computing environment

Global Land Management Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell https://ee-ankitasaxena03as.projects.earthengine.app/view/global-land-use-management

Ankita Saxena, Calum Brown, Karina Winkler, Almut Arneth, and Mark Rounsevell
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Short summary
We present a globally harmonised land management intensity dataset at 0.01 ° resolution for 2020 and assess its relationship with socioeconomic, biophysical and behavioural factors. We find that economic growth doesn’t uniformly align with the intensive management instead human behaviour also influence how land is managed. Intensive management is highly concentrated with only a few countries accounting for a disproportionate share of global intensive cropland, pasture and forest management.
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