Assessing the Dynamics of Grassland Net Primary Productivity in Response to Climate Change at the Global Scale
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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]
Cites
Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems
Schimel, D. S., House, J. I., Hibbard, K. A., Bousquet, P., Ciais, P., Peylin, P., Braswell, B. H., Apps, M. J., Baker, D., Bondeau, A., et al. (2001) · Nature · doi:10.1038/35102500 · Cited by 1,379 · see citing works
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Cited by
Sorted by citations
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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