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Related Experiment Video

Updated: Jul 15, 2026

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

Published on: January 16, 2026

Area and mammalian elevational diversity.

Christy M McCain¹

¹National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, 735 State Street, Suite 300, Santa Barbara, California 93101, USA. mccain@nceas.ucsb.edu

|May 11, 2007

Summary

Spatial hypotheses, including species-area and mid-domain effects, do not explain mammalian diversity patterns on elevational gradients. These factors appear to be sources of error, not primary drivers of biodiversity.

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Area of Science:

Ecology
Biodiversity Science
Biogeography

Background:

Elevational gradients are crucial for understanding biodiversity patterns.
Hypotheses for diversity patterns include historical, climatic, and spatial factors.
Spatial hypotheses include the species-area effect and mid-domain effect.

Purpose of the Study:

To test the species-area effect and mid-domain effect as explanations for mammalian diversity patterns along elevational gradients.
To determine if spatial factors are primary drivers of biodiversity on these gradients.

Main Methods:

Analysis of regional diversity patterns for mammals (non-volant small mammals and bats).
Utilized 34 elevational gradients across a wide latitudinal range (24.4°S–40.4°N).
Assessed the fit of species-area and mid-domain effect hypotheses to observed data.

Main Results:

High variability was observed in the fit of both the species-area hypothesis and the mid-domain effect.
Neither hypothesis could be identified as a primary driver of elevational diversity patterns.
Species-area and spatial constraint effects were found to be sources of error, not underlying mechanisms.

Conclusions:

Spatial hypotheses, specifically species-area and mid-domain effects, do not adequately explain mammalian diversity patterns on elevational gradients.
These spatial factors are likely sources of error in diversity analyses rather than causal mechanisms.
Similar findings are anticipated for other vertebrate taxa, plants, and invertebrates.