Cormorant Habitat Modeling and Conservation Strategies

Cormorant habitat modelling integrates species distribution tools, remote sensing and field observations to predict nesting, foraging and migratory habitats of both double-crested (Nannopterum auritum) and Neotropic (N. brasilianum) cormorants. Models range from expert-driven correlative frameworks to mechanistic and Bayesian approaches that link occurrence records with climate, land-cover and hydrological variables. Telemetry and bioenergetics studies have refined estimates of home-range size, feeding hotspots and prey consumption, enabling managers to anticipate human–wildlife conflicts in aquaculture and fisheries. Conservation strategies draw on model outputs to designate protected areas, adjust stocking regimes and modify shoreline vegetation. Adaptive management, stakeholder engagement and legal instruments are paired with spatial prioritisation to balance cormorant population stability with resource use, mitigating crop and fishery depredation while safeguarding breeding colonies and migratory stopovers on a global scale.

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Cormorant Habitat Modeling and Conservation Strategies publication trend

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

Technical terms

Species distribution model (SDM): A statistical or machine-learning framework that predicts species occurrence based on environmental and spatial predictors.

Bioenergetics model: A quantitative approach that estimates an animal’s energy requirements and translates these into prey consumption rates.

Home range: The spatial extent habitually used by an individual for feeding, breeding and resting as determined by telemetry or observation.

Habitat suitability: A metric or map that assesses how conducive given environmental conditions are for species persistence and fitness.

References

1. Expert-based and correlative models to map habitat quality: Which gives better support to conservation planning?. Global Ecology and Conservation (2018).
2. Bayesian feedback in the framework of ecological sciences. Ecological Informatics (2024).
3. Space Use and Movements of Southeastern Breeding Double-Crested Cormorants (Nannopterum auritum) in the United States. Diversity (2023).
4. Estimating potential menhaden consumption by double-crested cormorants along the coast of North Carolina. Frontiers in Marine Science (2023).
5. Human-wildlife conflict between Neotropic cormorant and artisanal fisheries induces dubious management policies in southern Brazil. Ocean and Coastal Research (2024).
6. Using species distribution models to define nesting habitat of the eastern metapopulation of double‐crested cormorants. Ecology and Evolution (2016).