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Cited by 230

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Precipitation patterns alter growth of temperate vegetation

Fang, Jingyun, Piao, Shilong, Zhou, Liming, He, Jinsheng, Wei, Fengying, Myneni, Ranga B., Tucker, Compton J., Tan, Kun·2005·Geophysical Research Letters

Abstract

In this paper, we use growing season Normalized Difference Vegetation Index (NDVI) as an indicator of plant growth to quantify the relationships between vegetation production and intra‐annual precipitation patterns for three major temperate biomes in China: grassland, deciduous broadleaf forest, and deciduous coniferous forest. With increased precipitation, NDVI of grassland and deciduous broadleaf forest increased, but that of deciduous coniferous forest decreased. More frequent precipitation significantly increased growth of grassland and deciduous broadleaf forest, but did not alter that of deciduous coniferous forest at low precipitation levels and constrained its growth at high precipitation levels. The relationships between NDVI and average precipitation per event were opposite to those between NDVI and precipitation frequency. Such nonlinear feedback suggests that the responses of vegetation production to changes in precipitation patterns differ by both biome type and precipitation amount.

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Crossref · 10.1029/2005gl024231

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Metadata

Authors
Fang, J., Piao, S., Zhou, L., He, J., Wei, F., Myneni, R. B., Tucker, C. J., & Tan, K.
Venue
Geophysical Research Letters
Published
2005-11
Volume
32
Issue
21
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2144073586
Cited by
230
References
2
FWCI
3.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Precipitation patterns alter growth of temperate vegetation. https://app.cochat.ai/papers/10.1029/2005gl024231
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Fang, J., Piao, S., Zhou, L., He, J., Wei, F., Myneni, R. B., Tucker, C. J., & Tan, K. (2005). Precipitation patterns alter growth of temperate vegetation. Geophysical Research Letters. https://doi.org/10.1029/2005gl024231

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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.