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Updated: Jun 20, 2026
10:52
Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
Published on: April 23, 2019
An evaluation of patch connectivity measures
1Department of Environmental Science, Policy, and Management, University of California, 137 Mulford Hall, Berkeley, California 94720, USA. prugh@nature.berkeley.edu
Summary
Assessing habitat connectivity is vital for fragmented populations. The nearest neighbor (NN) measure, specifically distance to the nearest occupied patch (NSi), proved as effective as complex models for predicting species occupancy and colonization.
Area of Science:
- Ecology
- Conservation Biology
- Spatial Analysis
Background:
- Habitat fragmentation poses challenges for metapopulation persistence.
- Accurate measurement of landscape connectivity is crucial for conservation.
- Common connectivity measures (NN, buffer, IFM) vary in calculation and performance.
Purpose of the Study:
- To compare the predictive performance of nearest neighbor (NN), buffer, and incidence function model (IFM) connectivity measures.
- To evaluate these measures for predicting patch occupancy and colonization in fragmented populations.
- To identify the most effective and practical connectivity measures for conservation applications.
Main Methods:
- Compared three types of patch connectivity measures: NN, buffer, and IFM.
- Assessed their ability to predict patch occupancy and colonization patterns.
- Utilized data from 24 metapopulations across invertebrates, reptiles, and amphibians.
Main Results:
- The simplest NN measure (distance to nearest habitat patch, NHi) was the poorest predictor.
- Contrary to hypotheses, distance to the nearest occupied patch (NSi) performed as well as buffer and IFM measures.
- Excluding vacant habitat patches improved measure performance, challenging area-based measure superiority.
Conclusions:
- Nearest neighbor (NN) measures, particularly NSi, can be powerful predictors of metapopulation dynamics.
- Complex IFM models may have parameterization issues and are not always superior.
- NSi models offer a practical and effective alternative for conservation planning in fragmented landscapes.
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