The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China
Abstract
Autumn phenology plays a critical role in regulating climate–biosphere interactions. However, the climatic drivers of autumn phenology remain unclear. In this study, we applied four methods to estimate the date of the end of the growing season (EOS) across China's temperate biomes based on a 30‐year normalized difference vegetation index (NDVI) dataset from Global Inventory Modeling and Mapping Studies (GIMMS). We investigated the relationships of EOS with temperature, precipitation sum, and insolation sum over the preseason periods by computing temporal partial correlation coefficients. The results showed that the EOS date was delayed in temperate China by an average rate at 0.12 ± 0.01 days per year over the time period of 1982–2011. EOS of dry grassland in Inner Mongolia was advanced. Temporal trends of EOS determined across the four methods were similar in sign, but different in magnitude. Consistent with previous studies, we observed positive correlations between temperature and EOS. Interestingly, the sum of precipitation and insolation during the preseason was also associated with EOS, but their effects were biome dependent. For the forest biomes, except for evergreen needle‐leaf forests, the EOS dates were positively associated with insolation sum over the preseason, whereas for dry grassland, the precipitation over the preseason was more dominant. Our results confirmed the importance of temperature on phenological processes in autumn, and further suggested that both precipitation and insolation should be considered to improve the performance of autumn phenology models.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Levenberg-Marquardt algorithm: Implementation and theory
Moré, J. J. (1978) · Lecture Notes in Mathematics · doi:10.1007/bfb0067700 · Cited by 5,773
Increased plant growth in the northern high latitudes from 1981 to 1991
Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., & Nemani, R. R. (1997) · Nature · doi:10.1038/386698a0 · Cited by 3,442
Monitoring vegetation phenology using MODIS
Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C. F., Gao, F., Reed, B. C., & Huete, A. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00135-9 · Cited by 2,567
Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B., & Eklundh, L. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.03.014 · Cited by 2,351
Shifting plant phenology in response to global change
CLELAND, E., CHUINE, I., MENZEL, A., MOONEY, H., & SCHWARTZ, M. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.04.003 · Cited by 2,335
An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data
Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R., Vermote, E. F., & El Saleous, N. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160500168686 · Cited by 2,305
Climate change, phenology, and phenological control of vegetation feedbacks to the climate system
Richardson, A. D., Keenan, T. F., Migliavacca, M., Ryu, Y., Sonnentag, O., & Toomey, M. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2012.09.012 · Cited by 2,231
Growing season extended in Europe
Menzel, A., & Fabian, P. (1999) · Nature · doi:10.1038/17709 · Cited by 1,577
Zhou, L., Tucker, C. J., Kaufmann, R. K., Slayback, D., Shabanov, N. V., & Myneni, R. B. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd000115 · Cited by 1,544
Shifts in phenology due to global climate change: the need for a yardstick
Visser, M. E., & Both, C. (2005) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2005.3356 · Cited by 1,487
Cited by
Plant phenology and global climate change: Current progresses and challenges
Piao, S., Liu, Q., Chen, A., Janssens, I. A., Fu, Y., Dai, J., Liu, L., Lian, X., Shen, M., & Zhu, X. (2019) · Global Change Biology · doi:10.1111/gcb.14619 · Cited by 2,120
Self-citationGlobal analysis of time-lag and -accumulation effects of climate on vegetation growth
Ding, Y., Li, Z., & Peng, S. (2020) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2020.102179 · Cited by 269
Growing season extension affects ozone uptake by European forests
Anav, A., De Marco, A., Friedlingstein, P., Savi, F., Sicard, P., Sitch, S., Vitale, M., & Paoletti, E. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.03.020 · Cited by 46
Metadata
- Authors
- Liu, Q., Fu, Y. H., Zeng, Z., Huang, M., Li, X., & Piao, S.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2015-11-30
- Volume
- 22
- Issue
- 2
- Pages
- 644-655
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2107258091
- Cited by
- 454
- References
- 71
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. https://app.cochat.ai/papers/10.1111/gcb.13081
- The paper
- Liu, Q., Fu, Y. H., Zeng, Z., Huang, M., Li, X., & Piao, S. (2016). Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Global Change Biology. https://doi.org/10.1111/gcb.13081
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
