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Spurious thresholds in the relationship between species richness and vegetation cover
Author(s) -
Maron Martine,
Bowen Michiala,
Fuller Richard A.,
Smith Geoffrey C.,
Eyre Teresa J.,
Mathieson Michael,
Watson James E. M.,
McAlpine Clive A.
Publication year - 2012
Publication title -
global ecology and biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.164
H-Index - 152
eISSN - 1466-8238
pISSN - 1466-822X
DOI - 10.1111/j.1466-8238.2011.00706.x
Subject(s) - species richness , spurious relationship , ecology , vegetation (pathology) , geography , vegetation cover , cover (algebra) , plant cover , environmental science , biology , land use , medicine , pathology , mechanical engineering , machine learning , computer science , engineering
Aim Thresholds often exist in the relationship between species richness and the area of remaining habitat in human‐modified landscapes, prompting debate about the mechanisms responsible. We hypothesize that if species–area relationships differ with underlying factors such as landscape productivity, and such factors correlate with patterns of habitat clearance, then spurious thresholds can arise where the separate species–area relationships intersect. We assessed whether this phenomenon could explain landscape‐level species–area relationships for birds occupying 31 landscapes of 100 km 2 in eastern Australia. Location Eastern Australia. Methods Landscape‐level species richness estimates were modelled as a function of the percentage of native vegetation remaining in the study landscapes. The performance of traditional species–area curves and continuous and discontinuous piecewise models was compared using an information theoretic approach. Separate models for high‐ and low‐productivity and high‐ and low‐fragmentation landscapes were examined to determine whether they implied different species–area relationships. Results The species–area relationship exhibited a rapid change‐point at approximately 40% vegetation cover, but this was most parsimoniously explained by two disjunct slopes rather than a continuous threshold model or a classic species–area curve. Exploration of models fitted separately to high‐ and low‐productivity landscapes suggested that such landscapes may differ in their characteristic species–area relationships. Main conclusions The observed pattern is consistent with the spurious threshold hypothesis, and opens a new avenue of enquiry into the processes behind apparent ecological thresholds. This hypothesis may be valid in other regions where clearing history is confounded by underlying factors such as landscape productivity, and demands further research. In such systems, real thresholds for different landscape types may occur at different levels of cover, or might not exist at all. If so, a simple space‐for‐time substitution may not be valid, and management prescriptions based on threshold values (e.g. 40%) will be flawed.