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Migration

Migration

Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.

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Habitat Fragmentation

Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.

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Related Experiment Video

Updated: May 25, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Mapping migratory bird prevalence using remote sensing data fusion.

Anu Swatantran¹, Ralph Dubayah, Scott Goetz

¹College Park, University of Maryland, Maryland, United States of America. aswatan@umd.edu

|January 12, 2012

Summary

This summary is machine-generated.

Integrating lidar, radar, and multispectral remote sensing data significantly improves bird habitat mapping accuracy. This multi-sensor approach enhances understanding of species distributions for effective wildlife management.

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Last Updated: May 25, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Computer Vision-Based Biomass Estimation for Invasive Plants

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Published on: February 9, 2024

Area of Science:

Ecology
Remote Sensing
Wildlife Management

Background:

Accurate species distribution maps are crucial for wildlife management amidst human pressures.
Lidar, radar, and multispectral remote sensing offer potential for mapping forest structure and habitat characteristics.
The integrated use and comparative efficacy of these remote sensing techniques for habitat mapping are underexplored.

Purpose of the Study:

To evaluate the effectiveness of lidar, radar, and multispectral remote sensing data for predicting bird prevalence.
To assess the combined utility of multiple remote sensing datasets ('fusion') for habitat mapping.
To map multi-year bird detections for eight migratory songbird species in temperate deciduous forests.

Main Methods:

Derived 104 predictor variables from lidar (vegetation structure), multispectral (phenology), and radar (backscatter) data.
Employed Random Forests regression models to predict bird prevalence using these variables.
Analyzed the predictive power and synergistic effects of individual and combined remote sensing datasets.

Main Results:

All remote sensing datasets demonstrated over 30% predictive power for bird prevalence.
Multi-sensor fusion models achieved the highest accuracies, explaining 54-75% of the variance in bird prevalence.
Lidar-derived stem density and multispectral phenology were key predictors; spatial maps aligned with known habitat preferences.

Conclusions:

Integrating multiple remote sensing datasets with machine learning enhances habitat mapping capabilities.
Multi-dimensional habitat structure maps derived from fused remote sensing data advance ecological research and forest management.
This approach facilitates fine-scale ecological studies at both stand and landscape levels.