Cited by 28Remote Sensing in AgricultureLand Use and Ecosystem ServicesPlant Water Relations and Carbon Dynamics

Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale

Liu, Yangyang, Yang, Yue, Wang, Qian, Khalifa, Muhammad, Zhang, Zhaoying, Tong, Linjing, Li, Jianlong, Shi, Aiping·2019·Chinese Geographical Science

Integrity signals

Registry

Crossref · 10.1007/s11769-019-1063-x

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Model-based estimates of NPP indicate that climate change is an important driver of degradation in approximately 35-45% of the world's degraded grasslands.

    “Model-based estimates of NPP indicate that climate change is an important driver of degradation in approximately 35-45% of the world's degraded grasslands (36,61).”

    From Restoring Degraded Lands (2021) · cites this paper as [61]

  • Climate change has contributed to degradation chiefly in regions around 15-45°S, although studies disagree regarding the exact region of impact.

    “Analyses of remotely sensed vegetation greenness (and vegetation browning) as well as model-based studies found that climate change has contributed to degradation chiefly in regions located around 15-45 o S, although studies disagree regarding the exact region of impact (36,60,61).”

    From Restoring Degraded Lands (2021) · cites this paper as [61]

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Cited by

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  • Restoring Degraded Lands

    Arneth, A., Olsson, L., Cowie, A., Erb, K.-H., Hurlbert, M., Kurz, W. A., Mirzabaev, A., & Rounsevell, M. D. A. (2021) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-012320-054809 · Cited by 106 · see citing works

    “Analyses of remotely sensed vegetation greenness (and vegetation browning) as well as model-based studies found that climate change has contributed to degradation chiefly in regions located around 15–45oS, although studies disagree regarding the exact region of impact (36, 60, 61).”
    Background

Authors
Liu, Y., Yang, Y., Wang, Q., Khalifa, M., Zhang, Z., Tong, L., Li, J., & Shi, A.
Affiliations
  • Nanjing University (CN)
  • Ministry of Ecology and Environment (CN)
  • TH Köln - University of Applied Sciences (DE)
  • Jiangsu University (CN)
Corresponding author
  • Li, Jianlong
  • Shi, Aiping
Venue
Chinese Geographical Science
Published
2019-10
Volume
29
Issue
5
Pages
725-740
ISSN
  • 1002-0063 (ISSN-L)
  • 1993-064X
OpenAlex
W2988891087
Cited by
28
References
1
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 5 · 2020: 1
FWCI
2.06
Type
journal article
Language
en
Open access
closed
Locations
  • Chinese Geographical Science (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
  • Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
Keywords
climate change impacts, terrestrial carbon cycle, spatiotemporal variation, savanna, open shrubland, precipitation sensitivity, temperature sensitivity, CASA model

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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