Carnivore Ecology and Conservation Strategies

Summary

Large carnivores exert critical top-down control within terrestrial ecosystems, regulating prey populations and shaping vegetation structure. Their ecology encompasses spatial distribution, foraging strategies, social organisation and responses to both natural and anthropogenic pressures. Key ecological drivers include prey availability, habitat configuration and interspecific interactions, all of which influence population viability. Conservation strategies have evolved beyond the confines of isolated protected areas to embrace landscape-level approaches that enhance connectivity, integrate human livelihoods and mitigate conflict. Tools such as ecological modelling, population genetics and remote sensing have refined habitat suitability assessments and corridor design. Conflict-mitigation measures—from real-time monitoring systems to community-based compensation schemes—are increasingly central to ensuring coexistence. By combining rigorous field studies with participatory governance and adaptive management, practitioners aim to secure resilient carnivore populations, safeguard ecosystem services and reconcile biodiversity goals with socio-economic development in the face of land-use change, climate variability and illegal exploitation.

Research from Nature Portfolio

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Carnivore Ecology and Conservation Strategies publication trend

The graph below shows the total number of articles in carnivore ecology and conservation strategies across all publications each year (not limited to Nature Index journals).

Technical terms

Species Distribution Model (SDM): A quantitative framework relating species occurrence to environmental predictors to map habitat suitability.

Occupancy: The probability that a given area or habitat patch is inhabited by a species, accounting for imperfect detection.

Connectivity Corridor: A spatially contiguous habitat or landscape feature that facilitates movement and gene flow between wildlife populations.

Real-time camera-alert system: A surveillance tool combining on-site artificial-intelligence processing with instant transmission of wildlife detections to management teams.

References

  1. Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids. Ecological Informatics (2023).
  2. Mitigating human–wildlife conflict and monitoring endangered tigers using a real-time camera-based alert system. BioScience (2023).
  3. Multi‐scale habitat modelling identifies spatial conservation priorities for mainland clouded leopards (Neofelis nebulosa). Diversity and Distributions (2019).

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