Climate change poses a significant challenge to predicting species distribution

The gap

Evidence profile

Sourced from the stated research gap and limitations section and stated challenges of the source papers, classified as general, spanning 3 journals. Those papers have been cited 7 times in total.

Supporting evidence — 5 representative gaps

• Climate Change Impacts on Suitable Habitats of the Endangered Parnassius imperator, an Alpine Butterfly Endemic to China (2026) · Insects · cited 1× · doi

  The spatiotemporal dynamics of the suitable habitats of P. imperator under climate change remain largely unknown. There is a need to develop science-based strategies to mitigate biodiversity decline. The study aims to fill this gap by applying ensemble species distribution models to simulate the shifts of the current and future suitable habitats of P. imperator.

  generalstated research gap
  Keywords: spatiotemporal dynamics suitable habitats imperator climate change remain
• Climate Change Impacts on Suitable Habitats of the Endangered Parnassius imperator, an Alpine Butterfly Endemic to China (2026) · Insects · cited 1× · doi

  We only included climate, elevation, HPD, and NDVI, while ignoring soil, host plants, land-use change, and microclimate, which may also shape the niches of P. imperator - Additional field surveys are needed to supplement data from under-sampled regions, which would improve the transferability of future projections - The ensembles of small models can be used to overcome the sampling limitations in modeling rare species

  generallimitations section
  Keywords: only included climate elevation hpd ndvi ignoring soil
• Climate Change Impacts on Suitable Habitats of the Endangered Parnassius imperator, an Alpine Butterfly Endemic to China (2026) · Insects · cited 1× · doi

  The study faced challenges in simulating the shifts of the current and future suitable habitats of P. imperator under climate change. The ensemble species distribution models required careful selection of input variables and evaluation of model performance. The study had to consider the uncertainty associated with future climate change scenarios and the impact of human activities on the habitats of P. imperator.

  generalstated challenges
  Keywords: study faced challenges simulating shifts current future suitable
• Global Potential Refugia and Conservation Gaps for Threatened Marine Rays Under Future Climate Change (2026) · Animals · doi

  The study faces challenges in terms of spatial sampling bias and spatial autocorrelation in occurrence records. It also deals with the complexity of projecting species distribution models under future climate change scenarios. The paper acknowledges the need for climate-informed conservation planning, which is a significant challenge in itself.

  generalstated challengesevidence 5/5
  Keywords: study faces challenges terms spatial sampling bias autocorrelation
• Prediction of Potential Suitable Habitats of Cupressus duclouxiana Under Climate Change Based on Biomod2 Ensemble Models (2026) · Biology · cited 4× · doi

  Climate change poses a significant challenge to predicting species distribution. Spatial sampling bias and model overfitting are technical challenges in species distribution modeling. The complexity of climate change scenarios and the need for high predictive performance are domain challenges.

  generalstated challengesevidence 5/5
  Keywords: climate change poses significant challenge predicting species distribution

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