Evidence map›Paper›PMID 42670294›Full record

ArticleGlobal change biology2026

Compound Ecoclimatic Events: The Long-Term Recovery of Conservation-Priority Mammals After an Extreme Ice Storm Event Was Promoted by the Alleviation of Poaching.

Youbing Zhou, Jifa Cui, Wenwen Chen, Nan Wu, Chris Newman, Juncheng Li, Qian Wang, Boyu Lei, Guanghua Jiang, Jinwei Wu and 4 more

Abstract read
In one paragraph

Article in Global change biology, 2026. 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

14 authors.

Youbing ZhouCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0002-2844-2463
Jifa CuiCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0001-5264-114X
Wenwen ChenCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0002-6550-4694
Nan WuCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.
Chris NewmanDepartment for Continuing Education, University of Oxford, Oxford, UK.
Juncheng LiCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0009-0002-5562-223X
Qian WangCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.
Boyu LeiCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0001-8084-2360
Guanghua JiangWufeng Forestry Bureau in Hubei Province, Wufeng, Hubei, China.
Jinwei WuCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0001-9920-4609
Christina D BueschingDepartment of Biology, Irving K. Barber Faculty of Science, University of British Columbia, Okanagan, Kelowna, British Columbia, Canada.
Jin ZhaoCollege of Biological and Pharmaceutical Sciences, China Three Gorges University, Yichang, China.ORCID https://orcid.org/0000-0002-0500-062X
David W MacdonaldWildlife Conservation Research Unit, Department of Biology, University of Oxford, the Recanati-Kaplan Centre, Tubney, UK.
Nils Chr StensethCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-1591-5399

Funding

National Natural Science Foundation of China 30970474National Natural Science Foundation of China 32201545National Natural Science Foundation of China 32571782National Natural Science Foundation of China 32571804
6 · The paper itself

Abstract

Extreme climatic perturbations are becoming increasingly frequent, with substantial and long-lasting legacy effects on biodiversity and ecosystems that may be compounded by human pressures such as illegal hunting. It is therefore vital to develop a better understanding of how best to manage and enhance ecosystem recovery. Using 15 years of data (2005-2019) from subtropical China, we investigated how an extreme ice storm event (2008) degraded mammal communities and how recovery was enhanced by subsequent anti-poaching enforcement (2012). Prior to the storm, communities were temporally stable, with a diversity of conservation-priority species in primary forests, while less protected species dominated degraded forests. Overall, the storm caused a 35% loss in species richness and abundance, with a 50% decline in conservation-priority species, all of which were obligate herbivores. Community properties in degraded forests recovered much more slowly than those in primary forests. Mammal communities did not regain dynamic stability when they reached their pre-storm levels; instead, legal enforcement in 2012 caused a shift toward a greater proportion of conservation-priority species, especially in degraded habitats, indicating that long-term reductions in abundance and species richness among conservation-priority mammal species were exacerbated by illegal poaching after this extreme storm event. These findings highlight that adaptive restoration management following extreme climatic events is essential for directing recovery trajectories toward achieving conservation and biodiversity targets, particularly for conservation-priority species, and especially in areas most vulnerable to human disturbance.

Indexed as

BiodiversityClimate ChangeConservation of Natural ResourcesMammalsAnimalsChinaEcosystemForestsWildlife Tradecompound ecoclimatic eventsconservation‐priority speciesextreme climatic eventpoachingrestoration ecology

Identifiers

PMID42670294
PMCPMC13527545

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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.