Impact of Climate Change on Species Distribution and Habitat Dynamics

Climate change is reshaping the geographic ranges of countless species, altering community composition and fragmenting once‐continuous habitats. Rising temperatures, shifting precipitation regimes and increased frequency of extreme events drive poleward and elevational range shifts, often at rates that outpace species’ dispersal capacities. Concurrently, alterations in seasonality and phenology disrupt synchrony among interacting taxa, with cascading effects on ecosystem function. Habitat suitability is increasingly dissected by anthropogenic land use, impeding natural migration and isolating climate refugia. Modelling advances now integrate fine‐scale environmental data, remote sensing and palaeoecological reconstructions to forecast future distributions and identify stable refugial zones. Such projections inform adaptive conservation strategies, from assisted migration to targeted habitat restoration, emphasising the need for dynamic management that accommodates ongoing climatic trends and biotic resilience.

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Impact of Climate Change on Species Distribution and Habitat Dynamics publication trend

The graph below shows the total number of articles in impact of climate change on species distribution and habitat dynamics across all publications each year (not limited to Nature Index journals).

Technical terms

Species distribution model (SDM): A quantitative tool that correlates species’ occurrence records with environmental predictors to estimate current or future geographic distributions.

Ecological niche: The multidimensional set of environmental conditions under which a species can maintain viable populations, encompassing both fundamental and realised components.

Ecological refugia: Areas that remain relatively buffered from rapid climatic changes and provide long‐term habitat stability for vulnerable species.

Bioclimatic variable: A climatic parameter (such as temperature or precipitation metrics) summarised over biologically meaningful time periods, used to characterise species’ environmental requirements.

Maximum entropy (MaxEnt): A machine‐learning algorithm widely used in species distribution modelling that estimates probability distributions by maximising entropy subject to environmental constraints derived from presence‐only data.

References

1. Fine-Scale Species Distribution Modeling of Abies koreana across a Subalpine Zone in South Korea for In Situ Species Conservation. Sustainability (2023).
2. Predicting Spruce Taiga Distribution in Northeast Asia Using Species Distribution Models: Glacial Refugia, Mid-Holocene Expansion and Future Predictions for Global Warming. Forests (2023).
3. Climate change impacts on migration of Pinus koraiensis during the Quaternary using species distribution models. Plant Ecology (2021).