Data from: Cross-continental analysis shows that disturbance effects on reptile body condition do not predict abundance responses

Full description

Ecological disturbances are discrete events that alter or transform the physical, chemical, or biological characteristics of ecosystems. Animal populations are vulnerable to disturbance, and the risk-disturbance hypothesis and population collapse framework propose that population declines can be predicted by declines in animal body condition. However, no research has empirically examined the general relationship between body condition and abundance, nor their relationship in response to disturbance. We used a combined dataset representing 33 studies and >42,000 observations of 75 species from Australia, New Zealand, Spain, and the United States to test predictions relating to the relationship between reptile body condition and abundance. We first investigated the relationship at the site level and then used meta-analytical models to test whether populations showed linked changes in abundance and body condition in response to disturbance. We further tested whether key environmental and species traits influenced this relationship and whether there was a time-lagged effect of body condition responses on abundance. Our results provided no strong support for the risk-disturbance hypothesis or population collapse framework. We found a positive relationship between mean reptile body condition and abundance at the site level. However, the relationship was largely lost when investigating population responses to disturbance. We provide a new conceptual framework that shows how disturbances can modify or uncouple the relationship between abundance and body condition by influencing underlying drivers, such as predation, competition, and resource availability. As such, the impacts of disturbance on reptile body condition cannot be assumed to reflect or predict abundance responses. Monitoring programs that infer population impacts based on changes in body condition should confirm the relationship between these two variables in the relevant study system.

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External Organisations
Charles Darwin University; Deakin University; University of Western Australia; Edith Cowan University; Fresno Chaffee Zoo; Austin Peay State University; Texas A&M University; United States Fish and Wildlife Service; James Cook University; Conservation and Attractions; Wildlife Research Centre; the Environment and Water; The University of Sydney; Curtin University; Terrestrial Ecosystems; Department of Biodiversity, Conservation and Attractions; Victoria University of Wellington; University of Queensland; NSW Department of Planning and Environment; Oregon Department of Fish and Wildlife; University of Nevada-Reno, Reno,NV; Universidade Do Porto; Universidad de Alcalá; Universitat de València; University of Puget Sound; Murdoch University; Department of Primary Industries and Regional Development; Thünen Institute of Sea Fisheries

Associated Persons
Dylan M. Westaway (Creator)Kristina J. Macdonald (Creator); Don A. Driscoll (Creator); Michael D. Craig (Creator); Robert A. Davis (Creator); Steven J. Hromada (Creator); C. M. Gienger (Creator); Lee A. Fitzgerald (Creator); Daniel J. Leavitt (Creator); Danielle K. Walkup (Creator); Rickard Abom (Creator); Adrian F. Wayne (Creator); Gordon R. Friend (Creator); Brent Johnson (Creator); Danielle Stokeld (Creator); Chris R. Dickman (Creator); Scott A. Thompson (Creator); Graham G. Thompson (Creator); Daniel F. Bohórquez Fandiño (Creator); Christopher K. Woolley (Creator); Annabel L. Smith (Creator); Calum Irvine (Creator); Tim S. Jessop (Creator); Jade E. Keehn (Creator); Chris R. Feldman (Creator); Xavier Santos (Creator); Josabel Belliure (Creator); Juli G. Pausas (Creator); Stacey L. Weiss (Creator); Patricia A. Fleming (Creator); Shannon Dundas (Creator); Sabrina E. Duncan (Creator); Tim S. Doherty (Creator)