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Related Experiment Video

Updated: May 29, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A multispecies framework for landscape conservation planning.

W Scott Schwenk¹, Therese M Donovan

¹Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, Burlington, VT 05405, USA. scott.schwenk@uvm.edu

Conservation Biology : the Journal of the Society for Conservation Biology

|August 30, 2011

Summary

This summary is machine-generated.

A new multispecies framework quantifies how human development impacts bird populations across large areas. This approach aids conservation planning by evaluating trade-offs in land-use change for multiple species.

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Area of Science:

Conservation Biology
Landscape Ecology
Quantitative Ecology

Background:

Rapidly changing landscapes necessitate advanced conservation assessment and planning methods.
Existing approaches often focus on single species or entire ecosystems, potentially missing broader community dynamics.
There is a need for integrated frameworks that consider multiple species' responses to landscape modification.

Purpose of the Study:

To devise and test a multispecies framework for conservation planning.
To assess the impact of human development on terrestrial bird occupancy across a large spatial extent.
To compare the responses of multiple species to landscape characteristics and modification.

Main Methods:

Developed a 4-element framework: population parameter estimation, human activity impact measurement, species-landscape relation analysis, and comparative species response evaluation.
Applied the framework to a community of 67 terrestrial bird species across 25,000 km(2) with varying human development.
Analyzed the effects of land cover, road density, and forest composition at multiple spatial scales on species occupancy.

Main Results:

Human modification of land cover and road density significantly affected the occupancy of 67 bird species.
Forest composition within 1 km, road density within 1 km, evergreen forest within 300 m, and distance from patch edge were strongly associated with species occupancy.
Species were grouped into 11 guilds based on shared patterns of association with landscape characteristics.

Conclusions:

The multispecies framework effectively complements single-species and ecosystem-level approaches.
The approach allows for quantification of trade-offs associated with different land-cover change scenarios in terms of species occupancy.
This method provides a quantitative basis for conservation planning in rapidly changing environments.