Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
33 authors.
Kristina J MacdonaldResearch Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia.ORCID 0000-0003-0357-1231
Don A DriscollSchool of Life and Environmental Sciences, Deakin University, Melbourne, Victoria, Australia.ORCID 0000-0002-1560-5235
Michael D CraigSchool of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-5411-165X
Robert A DavisSchool of Science, Edith Cowan University, Perth, Western Australia, Australia.ORCID 0000-0002-9062-5754
C M GiengerDepartment of Biology and Center of Excellence for Field Biology, Austin Peay State University, Clarksville, Tennessee, USA.ORCID 0000-0001-5045-3321
Lee A FitzgeraldBiodiversity Research and Teaching Collections, Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas, USA.ORCID 0000-0001-5648-9480
Daniel J LeavittUnited State Fish and Wildlife Service, Falls Church, Virginia, USA.ORCID 0000-0001-9566-1730
Danielle K WalkupNatural Resources Institute, Texas A&M University, College Station, Texas, USA.ORCID 0000-0001-6836-4212
Rickard AbomCollege of Science and Engineering, James Cook University, Townsville, Queensland, Australia.ORCID 0000-0003-2361-3654
Adrian F WayneBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Western Australia, Australia.ORCID 0000-0002-3102-4617
Gordon R FriendDepartment of Conservation and Land Management, Wildlife Research Centre, Perth, Western Australia, Australia.
Brent JohnsonBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Western Australia, Australia.
Danielle StokeldNSW Department of Climate Change, Energy, the Environment and Water, Sydney, New South Wales, Australia.ORCID 0000-0001-8792-0077
Chris R DickmanSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-1067-3730
Scott A ThompsonTerrestrial Ecosystems, Perth, Western Australia, Australia.ORCID 0000-0002-8048-9226
Graham G ThompsonSchool of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-3128-0776
Daniel F Bohórquez FandiñoBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Western Australia, Australia.
Christopher K WoolleyCentre for Biodiversity and Restoration Ecology, School of Biological Sciences, Te Herenga Waka-Victoria University of Wellington, Wellington, New Zealand.ORCID 0000-0003-1007-6511
Annabel L SmithSchool of the Environment, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-1201-8713
Calum IrvineSchool of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.
Tim S JessopConservation and Restoration Science Branch, Science, Economics, and Insights Division, NSW Department of Planning and Environment, Sydney, New South Wales, Australia.ORCID 0000-0002-7712-4373
Jade E KeehnWildlife Conservation Biologist, Oregon Department of Fish and Wildlife, Central Point, Oregon, USA.
Chris R FeldmanDepartment of Biology, University of Nevada, Reno, Nevada, USA.ORCID 0000-0003-2988-3145
Xavier SantosCentro de Investigação Em Biodiversidade e Recursos Genéticos da Universidade do Porto (CIBIO/InBIO), Vairão, Portugal.ORCID 0000-0002-4330-4261
Josabel BelliureGlobal Change Ecology and Evolution Research Group (GloCEE), Department of Life Sciences, University of Alcalá, Madrid, Spain.ORCID 0000-0001-7697-3616
Juli G PausasCentro de Investigaciones Sobre Desertificación (CIDE-CSIC), Valencia, Spain.ORCID 0000-0003-3533-5786
Stacey L WeissBiology Department, University of Puget Sound, Tacoma, Washington, USA.ORCID 0000-0003-3571-9667
Patricia A FlemingEnvironmental and Conservation Sciences, Harry Butler Institute, Murdoch University, Perth, Western Australia, Australia.ORCID 0000-0002-0626-3851
Shannon DundasNSW Department of Primary Industries and Regional Development, Vertebrate Pest Research, Sydney, New South Wales, Australia.ORCID 0000-0002-3831-8773
Dylan M WestawayGulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Albury, New South Wales, Australia.ORCID 0009-0005-9498-7284
Sabrina E DuncanThünen Institute of Sea Fisheries, Bremerhaven, Germany.
Tim S DohertyBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Western Australia, Australia.ORCID 0000-0001-7745-0251
Funding
Australian Government's National Environmental Science ProgramAustralian Research Council AD9031596Australian Research Council LP170101134Australian Research Grant Scheme A18615230Barrick KanownaCharles Darwin UniversityEdith Cowan UniversityHolsworth Wildlife Research EndowmentMinerals Research Institute of Western AustraliaM.J. Murdock Charitable TrustNorilsk NickelNorthern Australian Environmental Resources HubNorthern Territory Department of Lands, Planning and EnvironmentOMG Cawse Nickel OperationsParks VictoriaPlacer Dome Asia Pacific Kalgoorlie West OperationsThreatened Species Recovery Hub
6 · The paper itself
Abstract
Ecological disturbances are discrete events that alter or transform the physical, chemical, or biological characteristics of ecosystems. Disturbance can cause animal populations to decline and, according to the risk-disturbance hypothesis and population collapse framework, these 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 of America 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. 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. As such, our results provided no support for the risk-disturbance hypothesis and limited support for the population collapse framework. Therefore, the impacts of disturbance on reptile body condition cannot be assumed to reflect or predict abundance responses. 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. Monitoring programs that infer population impacts based on changes in body condition should first confirm the relationship between these two variables in the relevant study system.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Cross-Continental Analysis Shows That Disturbance Effects on Reptile Body Condition Do Not Predict Abundance Responses. · full record | OpenQuestion