Bridging social and ecological science to create spatially explicit models of human-caused mortality of carnivores.

Jeremy T Bruskotter, Neil H Carter, Richard Berl, Joseph Hinton, Jazmin Murphy, L Mark Elbroch, John A Vucetich

Abstract read

In one paragraph

Article in Ambio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Jeremy T BruskotterSchool of Environment and Natural Resources, The Ohio State University, 2021 Coffey Rd., 210 Kottman Hall, Columbus, OH, 43210, USA. bruskotter.9@osu.edu.ORCID http://orcid.org/0000-0002-1782-7835

Neil H CarterSchool for Environment and Sustainability, University of Michigan, 440 Church St, Dana Building, Ann Arbor, MI, 48109, USA.

Richard BerlEastern Ecological Science Center, Patuxent Research Refuge, 12100 Beech Forest Road, Laurel, MD, 20708, USA.

Joseph HintonWolf Conservation Center, 7 Buck Run St, South Salem, NY, 10590, USA.

Jazmin MurphyWolf Conservation Center, University of California, Santa Barbara, 7 Buck Run St, South Salem, NY, 10590, USA.

L Mark ElbrochPanthera, 8 West 40th Street, 18th Floor, New York, NY, 10018, USA.

John A VucetichCollege of Forest Resources and Environmental Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, 49930, USA.

Funding

National Science Foundation 2109005

6 · The paper itself

Abstract

Research indicates that human-caused mortality (HCM) is a key factor limiting numerous large carnivore populations. However, efforts to represent HCM in spatially explicit models have generally been limited in scope-often relying on proxies, such as road or human density. Yet such efforts fail to distinguish different sources of HCM, which can arise from different antecedent processes. We offer a systems-based conceptual framework for understanding the antecedents of HCMs that is grounded in theory from the social and behavioral sciences. Specifically, we first explain how HCMs are usefully distinguished into four types (e.g., accidental, harvest, illicit, control actions), then discuss how these different types tend to be driven by different sets of psychological and sociopolitical processes. We contend that improvements in understanding the spatial variation in HCMs would rise from more explicit attention to the various antecedent processes that precede each mortality type.

Indexed as

Anthropogenic EffectsCarnivoraMortalityAnimalsConservation of Natural ResourcesEcologyHumansModels, TheoreticalAnthropogenic mortalityBehavioral scienceCarnivore conservationHabitat suitabilityHuman-caused mortalityHuman dimensions

Identifiers

PMID40299139

DOI10.1007/s13280-025-02165-1

PMCPMC12307857

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LicenceCC BY

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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.