Evidence map›Paper›PMID 39616263›Full record

ArticleEnvironmental management2025

Beware of Bear? Long-Term Spatio-Temporal Patterns of Human-Bear Conflict in Connecticut.

Zachary Berkowitz, Larissa Montas Bravo, Shouraseni Sen Roy

Abstract read
In one paragraph

Article in Environmental management, 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

3 authors.

Zachary BerkowitzAbess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL, USA.
Larissa Montas BravoDepartment of Research Data & Open Scholarship, University of Miami Libraries, University of Miami, Coral Gables, FL, USA.
Shouraseni Sen RoyDepartment of Geography & Sustainable Development, University of Miami, Coral Gables, FL, USA. ssr@miami.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we examine the spatio-temporal patterns of citizen-reported human-bear conflict (HBC) from 2002 to 2022 and use the Forest-Based and Boosted Classification (FBBC) technique to assess the significance of several factors in the occurrence of HBC. Our analysis reveals a significant increase in HBC incidents over the study period, with the fewest conflicts in 2002 (217) and the most in 2022 (4455). These were concentrated in northwestern Connecticut, particularly eastern Litchfield County and western Hartford County. The results of geostatistical analysis, including measures of dispersion and emerging hot spot analysis indicated a southward trend in HBC on both annual and monthly scales. The validation results of the FBBC highlighted the relevance of forest fragmentation, intermediate housing density, proximity to water bodies, and snowfall in predicting HBC. Each variable demonstrated nearly equal importance (20%) in predicting HBC occurrences from 2010 to 2022, though land cover showed no significant predictive power. These findings elucidate the spatio-temporal dynamics of HBC and offer valuable insights for wildlife managers to prioritize conflict mitigation strategies effectively. The results of this study identify locations prone to HBC. Moreover, FBBC results show that this technique can be used to predict future HBC based on projected changes in these variables due to climate change and expansion of the human-wildlife interface. Our analysis can aid in the development of targeted, evidence-driven, and ethical management interventions in Connecticut.

Indexed as

Conservation of Natural ResourcesUrsidaeAnimalsConnecticutHumansSpatio-Temporal AnalysisBearsConnecticutEmerging hot spots analysisForest-based and boosted classification regressionHuman–bear conflict

Identifiers

PMID39616263
PMCPMC11861266

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.