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Related Experiment Video

Updated: May 9, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Species-fragmented area relationship.

Ilkka Hanski¹, Gustavo A Zurita, M Isabel Bellocq

¹Department of Biosciences, University of Helsinki, FI-00014, Helsinki, Finland. ilkka.hanski@helsinki.fi

Proceedings of the National Academy of Sciences of the United States of America

|July 17, 2013

Summary

The species-area relationship (SAR) model underestimates species extinctions in fragmented habitats. A new species-fragmented area relationship (SFA) model provides more accurate predictions for conservation planning.

Keywords:

Atlantic forest Nagoya biodiversity agreement extinction threshold habitat conversion metapopulation capacity

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Last Updated: May 9, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

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Published on: July 30, 2019

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Area of Science:

Ecology
Conservation Biology
Biodiversity Science

Background:

The species-area relationship (SAR) quantifies species richness with habitat area.
SAR is crucial for predicting extinction events due to habitat loss in conservation.
Conventional SAR models assume contiguous habitats, leading to biased predictions in fragmented landscapes.

Purpose of the Study:

To develop a novel model that accounts for both habitat loss and fragmentation.
To improve the accuracy of extinction predictions in real-world, fragmented landscapes.
To integrate metapopulation theory with multispecies SAR for community-level predictions.

Main Methods:

Extended the power-law SAR model to a species-fragmented area relationship (SFA).
Utilized a realistic simulation model to test the SFA model's performance.
Applied the SFA model to empirical data of forest-inhabiting subtropical birds.

Main Results:

The SFA model significantly outperformed the conventional SAR in predicting species richness in fragmented landscapes.
For species poorly adapted to fragmentation, SAR underestimated extinction numbers.
The SFA model provides more accurate extinction predictions for highly fragmented habitats.

Conclusions:

Habitat fragmentation is a critical factor that must be incorporated into extinction prediction models.
The SFA model offers a more robust tool for conservation planning in fragmented ecosystems.
Accurate assessment of biodiversity loss requires accounting for complex habitat structures beyond simple area reduction.