Evidence map›Paper›PMID 41467017›Full record

ArticleFundamental research2025

The implementation of ecological protection in Inner Mongolia has slowed down grassland degradation.

Haojun Zheng, Yao Huang, Wen Zhang, Changqing Song, Qing Zhang, Wenjuan Sun, Yongqiang Yu, Lijun Yu, Haigang Li, Cunhou Zhang and 3 more

Abstract read
In one paragraph

Article in Fundamental research, 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

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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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Haojun ZhengFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Yao HuangState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Wen ZhangState key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Changqing SongFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Qing ZhangState key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Wenjuan SunState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Yongqiang YuState key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Lijun YuState key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Haigang LiInner Mongolia Key Laboratory of Soil Quality and Nutrient Resources/Key Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot 010018, China.
Cunhou ZhangInner Mongolia Ecology and Agrometeorology Center, Hohhot 010018, China.
Wenfang JiangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Xinyue YangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Guocheng WangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Inner Mongolia grassland has been facing critical degradation. To combat this issue, China has launched a series of ecological restoration programs since the early 2000s to promote the recovery of degraded grasslands (e.g., the Beijing-Tianjin Wind/Sand Source Control Program, the Grazing Withdrawal Project, and the Ecological Compensation Policy). However, the long-term effects of these measures on the recovery of the Inner Mongolia grassland still need further evaluation. To quantitatively assess the grassland degradation status and dynamics, we utilized long-term remote sensing datasets (GIMMS NDVI and MODIS NDVI) from 1982 to 2020 to calculate the fractional vegetation cover (FVC, the ratio of vegetation canopy's vertical projection area to the unit area) and grassland degradation index (GDI, the ratio of average FVC during peak growing season to historical optimum FVC). Results showed that across the study region, the average FVC was 42% over the past four decades, with degraded grassland (GDI < 0.9) accounting for 84.6% of the total area. Noteworthy spatial differences were observed. Specifically, study region to the west of 115°E had an average FVC of 20.7% with 98.2% areas exhibiting a degraded state. By contrast, study region to the east had an average FVC of 57.7% with 68.5% areas experiencing degradation. Over time, the proportion of degraded grassland generally decreased, particularly in the past two decades. However, approximately 3/4 of the grassland remained degraded in the last decade (2011-2020). Although degraded grassland is recovering, grassland degradation remains serious, especially in the west of 115°E, where 80.8% of the grassland was moderately and severely degraded (GDI < 0.6) in the last decade. Our findings suggest that while the implementation of ecological protection measures in Inner Mongolia has slowed down grassland degradation, the persisting degradation underscores the necessity of region-specific grassland protection and restoration.

Indexed as

Ecological protection and restorationFractional vegetation coverGrassland degradation indexInner MongoliaNormalized difference vegetation indexRemote sensing

Identifiers

PMID41467017
PMCPMC12744664

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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.