The study faces challenges in modelling the complex

The gap

Evidence profile

Sourced from the abstract and limitations section and stated challenges and stated research gap and future-work section of the source papers, classified as general, drawn from work published between 2018 and 2026, spanning 5 journals. Those papers have been cited 79 times in total.

Supporting evidence — 7 representative gaps

• Current and future suitable habitat areas for Nasuella olivacea (Gray, 1865) in Colombia and Ecuador and analysis of its distribution across different land uses (2020) · Biodiversity Data Journal · cited 9× · doi

  These findings highlight the need to further research understudied species, furthering our understanding about distribution trends and responses to changing climatic conditions, as well as informig future PA designing.

  generalabstractevidence 5/5
  Keywords: highlight need further understudied species furthering understanding distribution trends responses changing climatic conditions well informig
• The impact of calibration strategies on future evapotranspiration projections: a SWAT-T comparison of three hydrological modeling approaches in West Africa (2026) · Hydrology and earth system sciences · doi

  The study uses a specific plant growth modeling, attributed as leaf area index, which may not be applicable in all regions. The study evaluates changes for the near (2031–2050) and far (2070–2099) future periods, which may not capture the full range of potential climate change impacts.

  generallimitations sectionevidence 5/5
  Keywords: study uses specific plant growth modeling attributed leaf
• Forecasted changes in the suitability of the Vanessa cardui environment in agroecosystems of Ukraine under climate scenarios (2026) · Scientific Progress & Innovations · doi

  The study faces challenges in modelling the complex interactions between climate change and species distribution. The analysis is limited by the availability of georeferenced data on the species' localisation.

  generalstated challengesevidence 5/5
  Keywords: study faces challenges modelling complex interactions between climate
• Climate heterogeneity enhances macroclimate data-driven vegetation modeling on the Qinghai-Tibet Plateau (2026) · Nature Communications · doi

  Traditional species distribution models rely on macroclimate data, which oversimplifies environmental variation in heterogeneous landscapes. There is a need for a more nuanced understanding of the relationship between climate and vegetation. Climate heterogeneity is often overlooked in large-scale modeling.

  generalstated research gapevidence 5/5
  Keywords: traditional species distribution models rely macroclimate data oversimplifies
• Climate heterogeneity enhances macroclimate data-driven vegetation modeling on the Qinghai-Tibet Plateau (2026) · Nature Communications · doi

  The study relies on a specific dataset and may not be generalizable to other regions. The study uses a limited number of environmental variables. The study does not account for other factors that may influence vegetation distribution, such as land use and disturbance.

  generallimitations sectionevidence 5/5
  Keywords: study relies specific dataset generalizable other regions uses
• Identifying Critical Climate Periods for Vegetation Growth in the Northern Hemisphere (2018) · Journal of Geophysical Research Biogeosciences · cited 70× · doi

  Abstract Vegetation‐climate relationships have been extensively investigated in previous studies, yet the critical seasons and corresponding climate factors influencing annual vegetation growth in a changing climate remain unclear.

  generalabstractevidence 4/5
  Keywords: climate vegetation abstract relationships extensively investigated previous critical seasons corresponding factors influencing annual growth changing
• Climate heterogeneity enhances macroclimate data-driven vegetation modeling on the Qinghai-Tibet Plateau (2026) · Nature Communications · doi

  Further study is needed to examine the applicability of the study's findings to other regions. Additional research is needed to explore the effects of other factors on vegetation distribution, such as land use and disturbance. Future studies should aim to incorporate climate heterogeneity into species distribution models.

  generalfuture-work sectionevidence 4/5
  Keywords: further study needed examine applicability findings other regions

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