Land productivity declines in the GGW while human contributions to restoration far outweighing degradation.

Yubo Zhi, Xiaosong Li, Tong Shen, Graciela Metternicht, Anne Grainger, Yude Pan, Qi Lu, Amos Tiereyangn Kabo-Bah

Abstract read

In one paragraph

Article in Scientific reports, 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

8 authors.

Yubo ZhiAerospace Information Research Institute, Chinses Academy of Sciences, Beijing, China.

Xiaosong LiAerospace Information Research Institute, Chinses Academy of Sciences, Beijing, China. lixs@aircas.ac.cn.

Tong ShenAerospace Information Research Institute, Chinses Academy of Sciences, Beijing, China.

Graciela MetternichtSchool of Science, Western Sydney University, Richmond, Australia.

Anne GraingerSchool of Geography, University of Leeds, Leeds, UK.

Yude PanUSDA Forest Service, Durham, NH, USA. yude.pan@usda.gov.

Qi LuInstitute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, China.

Amos Tiereyangn Kabo-BahDepartment of Civil and Environmental Engineering, University of Energy and Natural Resources, Sunyani, Ghana.

Funding

Chinese Academy of Sciences 313GJHZ2022040B

6 · The paper itself

Abstract

The African Great Green Wall (GGW) initiative is a major effort to achieve the Sustainable Developed Goals (SDG) 15.3 target of Land Degradation Neutrality (LDN) in the Sahel regions. This study provides a comprehensive assessment of the land productivity dynamics (LPD) within the GGW from 2013 to 2022, serving as a sub-indicator for SDG 15.3.1 reporting and analyzes the key factors influencing these changes. Our results indicate that the land degradation outpaces restoration in the GGW, with 4.93% of the area experiencing declining land productivity (LP) compared to only 3.44% showing improvement. This suggesting that the effectiveness of the GGW initiative has not met expectations, highlighting the need for more targeted interventions. Among the drivers of LPD, we found that land cover change (LCC) accounts for the largest share of LPD increase (30.97%), while climate change (CLI) is the main contributor to declining LP (43.51%). The impact of CO

Indexed as

Conservation of Natural ResourcesSustainable DevelopmentAfricaAgricultureClimate ChangeForestsHumans

Identifiers

PMID41057483

DOI10.1038/s41598-025-18963-2

PMCPMC12504678

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

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.