Evidence map›Paper›PMID 41843378›Full record

ArticleScience China. Life sciences2026

China's "greening but weakening" protected areas reveal a global conservation quality-quantity dilemma.

Yujin Zhao, Wenhe Chen, Yaobin Wang, Fei Li, Zhisheng Wu, Wang Li, Shengli Tao, Yongfei Bai

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Article in Science China. Life sciences, 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
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0citing papers in PubMed
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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

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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

8 authors.

Yujin ZhaoState Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Wenhe ChenState Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Yaobin WangState Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Fei LiInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, 010010, China.
Zhisheng WuState Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Wang LiState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
Shengli TaoInstitute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Yongfei BaiState Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. yfbai@ibcas.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protected areas play a crucial role in global biodiversity conservation, yet they are increasingly threatened by climate change and human activities. Traditional assessments that focus exclusively on vegetation productivity (vigor) fail to capture essential dimensions of ecosystem health, such as biodiversity structure (organization) and adaptive capacity (resilience). Here, we propose a comprehensive vigor-organization-resilience framework that integrates remote sensing, machine learning, and field data to evaluate ecosystem health across 431 Chinese National Nature Reserves from 1990 to 2020. Our findings reveal that while 60.3% of reserves maintained healthy ecosystems, particularly forests, which outperformed grasslands, we identified a concerning "greening but weakening" paradox. Specifically, vegetation vigor increased by 29.4%, yet ecosystem resilience declined significantly by 26.8%, and organizational integrity decreased moderately by 6.1%. Notably, grasslands exhibited an increase in organizational structure (+7.4%), whereas forests experienced a decline (-9.9%), indicating biome-specific stress responses. Furthermore, the gap in ecosystem health between protected and adjacent non-protected areas narrowed from 3.7% to 1.8%, with measurable spillover effects contributing to an overall improvement in external ecosystem health (+2.8%). Topography, soil properties, and management practices accounted for 60% of the spatial variability in ecosystem health, while climate variability and disturbances were responsible for 51% of the temporal changes observed. By quantifying these decoupled dimensions of ecosystem health, our approach facilitates targeted conservation interventions that are essential for achieving functional, rather than merely area-based, outcomes in line with the Global Biodiversity Framework's 30×30 initiative.

Indexed as

Conservation of Natural ResourcesBiodiversityChinaClimate ChangeEcosystemForestsGrasslandHumansbiodiversityecosystem healthnational nature reservesremote sensingresiliencevigor

Identifiers

PMID41843378

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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.