Simulating the spatial distribution pattern of ecological resilience in large-scale regions under different scenarios

The gap

Evidence profile

Sourced from the future-work section and stated research gap of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 3 journals. Those papers have been cited 46 times in total.

Supporting evidence — 4 representative gaps

• Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China (2025) · Land · cited 35× · doi

  Simulate the spatial distribution pattern of ecological resilience in large-scale regions under different scenarios - Elucidate the relationship between land use and ecological resilience - Identify the adaptive cycling stage by combining statistical modeling and machine learning methods to capture the dynamic characteristics of resilience at a fine scale

  generalfuture-work section
  Keywords: simulate spatial distribution pattern ecological resilience large-scale regions
• Spatio-temporal variation and driving mechanism of ecological resilience of blue-green infrastructure in “pattern-process-function” watershed: a case study of Dawen River Basin (2026) · Frontiers in Ecology and Evolution · cited 1× · doi

  The gap in current studies lies in their limitation to single-dimension assessments of blue-green infrastructure resilience. There is a lack of comprehensive ecological resilience assessments under challenges like flood risk and biodiversity decline. The study identifies a need for a systematic disclosure of the evolution and driving mechanism of ecological resilience.

  generalstated research gap
  Keywords: gap current studies lies limitation single-dimension assessments blue-green
• Coupling coordination between urban green economy and ecological resilience in the context of urban rewilding: evidence from Chinese cities (2026) · Frontiers in Ecology and Evolution · doi

  conducting transnational comparative studies to explore similarities and differences in green economy-ecological resilience coupling patterns under different institutional contexts - integrating remote sensing data with field surveys to develop a more refined ecological resilience measurement system - introducing causal inference methods such as dynamic panel models, instrumental variable techniques, or quasi-natural experiment designs to further identify the causal effects of driving factors on CCD - exploring the combination of geographic detectors with machine learning methods (e.g., random forests, XGboost) to comprehensively characterize the complex impact mechanisms of multi-factor nonlinear interactions on CCD spatiotemporal evolution

  generalfuture-work section
  Keywords: conducting transnational comparative studies explore similarities differences green
• Examining the nonlinear effects of multidimensional land use efficiency on ecological resilience using the XGBoost-SHAP and GTWR model in Guangdong province (2025) · Frontiers in Environmental Science · cited 10× · doi

  The insufficient exploration of nonlinear dynamics, threshold effects, and spatial heterogeneity in the land use efficiency-ecological resilience relationship. The limitations of traditional econometric approaches in capturing complex relationships between land use efficiency and ecological resilience. The need for a more nuanced understanding of the effects of land use efficiency on ecological resilience.

  generalstated research gapevidence 5/5
  Keywords: insufficient exploration nonlinear dynamics threshold effects spatial heterogeneity

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