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May 3, 2026Frontiers in Remote Sensing0 citationsOpen Access

The impacts of climate variability and agricultural expansion on ecosystem functions in Xinjiang drylands

DZD S ZhaiYJYuhao JiangZWZhifang Wang

Key Points

  • This research aims to understand how climate variability and agricultural expansion affect ecosystem functions in the Xinjiang drylands.
  • Utilized a two-level classification scheme with a random forest model to produce EF maps
  • Analyzed Landsat imagery from 2000 to 2024 to assess dominant EF patterns
  • Identified transition trajectories driven by climate and policy changes.
  • Water retention regions concentrated in mountainous areas, sandstorm prevention regions in oasis-desert zones, and agricultural production regions in desert periphery.
  • Identified greening and browning climate-driven pathways with strong correlations to water changes (R = 0.594 and −0.553).
  • Cropland expansion pathway (DS–AP) shows a strong correlation with agricultural growth (R = 0.831) leading to ecological challenges.

Abstract

Climate variability and agricultural expansion are fundamentally reshaping ecosystem functions (EFs) in drylands. Xinjiang Region, a vast and typical dryland area in China, also faces dual pressures of natural and anthropogenic disturbances. Numerous local studies in Xinjiang have quantified individual EFs using biophysical models. However, research remains limited on the region-wide spatial distribution of long-term EF transitions, and on how nature-human interactions shape EF transitions across all of Xinjiang. In this paper, these gaps are addressed by using an EF classification framework to assess dominant EF patterns and reveal the ecosystem responses across Xinjiang, China from 2000 to 2024. A suite of multi-year EF maps with high accuracies (0.864–0.882) were produced using a two-level classification scheme with a random forest model, and Landsat imagery. EF maps showed that the water retention (WR) regions are concentrated in mountainous areas, the sandstorm prevention (SP) regions primarily occur in oasis–desert transition zones, and the agricultural production (AP) regions are dispersed in the desert (DS) periphery. Three major transition trajectories were identified: two climate-driven pathways, namely, greening (“DS–SP–WR”) and browning (“WR–SP–DS”) induced mainly by the water changes (R = 0.594 and −0.553 with annual precipitation, respectively), and a policy-driven cropland expansion pathway (“DS–AP”) resulting from aggressive agricultural expansion, particularly cotton cultivation (R = 0.831). This “DS–AP” functional transition in Xinjiang may potentially introduce multiple ecological challenges, including biodiversity loss and increased water demand. These findings reveal how climate variability and agricultural intensification reshape dryland landscapes, with implications for sustainability across water-limited ecosystems globally. Our results underscore the urgent need for adaptive management strategies that balance agricultural development with ecosystem resilience in Earth’s expanding drylands.

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Cite This Study

Zhai et al. (2026) studied this question.

synapsesocial.com/papers/69f6e5618071d4f1bdfc616bhttps://doi.org/10.3389/frsen.2026.1815646
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