Evidence map›Paper›PMID 38811602›Full record

ArticleScientific reports2024

Projected patterns of land uses in Africa under a warming climate.

Ibrahim Yahaya, Runhong Xu, Jian Zhou, Shan Jiang, Buda Su, Jinlong Huang, Jing Cheng, Zhibo Dong, Tong Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Make African grasslands climate-change resilient.Communications earth & environment · 2025
    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

9 authors.

Ibrahim Yahaya *Research Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Runhong Xu *School of Geographical Science, Qinghai Normal University, Xining, 810008, China.
Jian Zhou *Research Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Shan JiangResearch Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Buda SuResearch Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China. subd@nuist.edu.cn.
Jinlong Huang *Research Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Jing ChengUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Zhibo DongResearch Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Tong JiangResearch Institute of Climatic and Environmental Governance, Institute for Disaster Risk Management/School of Geographical Science Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China. jiangtong@nuist.edu.cn.

Funding

The Cooperation Project of Cooperation Group (GZ 1486) in the Chinese and German Center of the Research Promotion, NSFC/DFG GZ 1486This study was supported by the International Cooperation Program between the National Science Foundation of China (NSFC) and the United Nations Environment Program (UNEP) Grant no. 42261144002
6 · The paper itself

Abstract

Land-use change is a direct driver of biodiversity loss, projection and future land use change often consider a topical issue in response to climate change. Yet few studies have projected land-use changes over Africa, owing to large uncertainties. We project changes in land-use and land-use transfer under future climate for three specified time periods: 2021-2040, 2041-2060, and 2081-2100, and compares the performance of various scenarios using observational land-use data for the year 2020 and projected land-use under seven Shared Socioeconomic Pathways Scenarios (SSP): SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0 and SSP5-8.5 from 2015 to 2100 in Africa. The observational land-use types for the year 2020 depict a change and show linear relationship between observational and simulated land-use with a strong correlation of 0.89 (P < 0.01) over Africa. Relative to the reference period (1995-2014), for (2021-2040), (2041-2060), (2081-2100), barren land and forest land are projected to decrease by an average of (6%, 11%, 16%), (9%, 19%, 38%) respectively, while, crop land, grassland and urban land area are projected to increase by (36%, 58%, and 105%), (4%, 7% and 11%), and (139%, 275% and 450%) respectively. Results show a substantial variations of land use transfer between scenarios with major from barren land to crop land, for the whole future period (2015-2100). Although SSP4-3.4 project the least transfer. Population and GDP show a relationship with cropland and barren land. The greatest conversion of barren land to crop land could endanger biodiversity and have negative effects on how well the African continent's ecosystem's function.

Identifiers

PMID38811602
PMCPMC11136982

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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.