Evidence map›Paper›PMID 41469402›Full record

ArticleNature communications2025

Assessment of African grassland sustainability for livestock use by constructing a carrying capacity alert index.

Shiqi Yu, Xiwang Zhang, Yansui Liu, Nana Yan, Weiwei Zhu, Yang Liu, Yuhui Cheng, Xiumei Yu, Mengwei Chen, Chengqiang Zhang and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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

11 authors.

Shiqi YuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.
Xiwang ZhangKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China. zhangxiwang@vip.henu.edu.cn.ORCID http://orcid.org/0000-0002-9651-596X
Yansui LiuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China. ysliu@henu.edu.cn.ORCID http://orcid.org/0000-0001-6636-7313
Nana YanState Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. yannn@radi.ac.cn.ORCID http://orcid.org/0000-0002-1057-6834
Weiwei ZhuState Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. zhuww@aircas.ac.cn.ORCID http://orcid.org/0000-0003-3900-7747
Yang LiuKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.
Yuhui ChengKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.
Xiumei YuHenan Remote Sensing Institute, Zhengzhou, China.
Mengwei ChenKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.
Chengqiang ZhangKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.
Yuanyuan JiangKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, State Key Laboratory of Spatial Datum, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beyond natural factors, overgrazing is emerging as a critical threat to grassland ecosystems, potentially driving degradation and unsustainable resource utilization. Grassland carrying capacity refers to the maximum number of livestock that can be sustained by available grassland biomass. Accurately assessing its sustainability is critically important, yet challenging without considering long-term trends, especially at the continental scale. Here, we develop a grassland carrying capacity alert index to assess its utilization risk, reflecting whether grassland ecosystems are currently sustainable. Using data from 2001 to 2020, we assess spatiotemporal changes in grassland carrying capacity across Africa. Our results show that increases in aboveground biomass do not keep pace with growing livestock feed demand. Moreover, the utilization level of grassland resources remains highly uneven across the continent. Approximately 51.02% of African grasslands are under high pressure, with livestock numbers exceeding carrying capacity, primarily in northern Africa. In contrast, 26.53% of grasslands, mainly in southern Africa, remain underutilized over the long term. Shifting livestock development focus to Southern Africa, complemented by cross-regional cooperation to utilize southern pastures for alleviating northern overgrazing, may balance economic growth with grassland sustainability across the continent.

Indexed as

Conservation of Natural ResourcesGrasslandLivestockAfricaAnimalsBiomassEcosystem

Identifiers

PMID41469402
PMCPMC12873266

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LicenceCC BY-NC-ND
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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.