Spatial Ecology of Animal Movements

Spatial ecology of animal movements examines how individuals traverse landscapes, how their movements shape and respond to habitat structure, resource distribution and anthropogenic change. This field integrates high-resolution tracking data with statistical models to quantify home ranges, movement corridors, habitat selection and connectivity. Advances in GPS telemetry and data synthesis have expanded temporal and spatial scales of study, enabling insights into responses to climate cycles, demographic shifts and land-use change. Analytical frameworks—such as kernel density estimators, Brownian bridge movement models and integrated step-selection analysis—allow researchers to partition movement paths into functional use areas and to link behavioural states with environmental covariates. Such approaches reveal the drivers of ranging behaviour across taxa, inform conservation corridor design, support wildlife management and aid in predicting the spread of pathogens. With growing reliance on remote sensing, machine learning and long-term historical records, spatial ecology offers a comprehensive lens on how animals interact with dynamic landscapes worldwide.

Research from Nature Portfolio

Recent telemetry studies on small Indian mongooses and free-roaming domestic dogs in Puerto Rico have used high-resolution GPS collars to reassess home range estimates and patterns of space sharing. Findings reveal larger and more variable home ranges for mongooses than previously reported by radiotelemetry, with clear habitat preferences for dry forest and shrubland. Quantitative overlap metrics demonstrate extensive intraspecific overlap among mongooses and substantial interspecific contact with roaming dogs, highlighting the importance of spatial ecology in understanding zoonotic risk and guiding targeted rabies management strategies.

Spatial Ecology of Animal Movements publication trend

The graph below shows the total number of articles in spatial ecology of animal movements across all publications each year (not limited to Nature Index journals).

Technical terms

Home range: The area traversed by an animal during its routine activities, typically expressed as a contour enclosing a percentage of relocations.

Utilization distribution: A probability surface representing the relative frequency of an animal’s presence across its home range.

Kernel density estimator: A non-parametric method for estimating utilization distributions by smoothing location data with a kernel function.

Autocorrelated kernel density estimator (AKDE): A home-range estimator that accounts for temporal autocorrelation in movement data to improve range area estimates.

GPS telemetry: The remote acquisition of animal location data at frequent intervals using GPS receivers, enabling high-resolution movement tracking.

References

1. A new approach to geostatistical synthesis of historical records reveals capuchin spatial responses to climate and demographic change. Ecology Letters (2024).
2. movedesign: Shiny R app to evaluate sampling design for animal movement studies. Methods in Ecology and Evolution (2023).
3. Home range overlap between small Indian mongooses and free roaming domestic dogs in Puerto Rico: implications for rabies management. Scientific Reports (2023).
4. Variation in herbivore space use: comparing two savanna ecosystems with different anthrax outbreak patterns in southern Africa. Movement Ecology (2023).