A dataset of leave nitrogen to phosphorus ratios in China’s shrubland ecosystems with a resolution of 1 km

<p indent="0mm"> The leaf nitrogen to phosphorus ratio (N:P) is an important indicator describing plant nutrition limitation. Large-scale N:P data plays an essential role in assessing nutrition utilization in ecosystems and estimating the carbon sink potential under nitrogen and phosphorus deposition. However, ecosystems are highly influenced by human activities, leading to greater uncertainty in their study. This dataset establishes relationships between ground-measured data and environmental factors using a machine learning algorithm, generating a d dataset of leave nitrogen to phosphorus ratios in China’s shrubland ecosystems with a resolution of <sc>1 km,</sc> with each grid cell representing the estimated leaf N:P ratio, and is available in TIFF format. The testing results and comparison with other similar data both demonstrates the high accuracy of the dataset. This dataset objectively reflects nutrition limitation in shrubland vegetation, and can be used for studies on nutrient utilization and carbon sink potential in shrubland ecosystem.

Authors

Publication Details

Journal
China Scientific Data
Published
2025-01-01
DOI
https://doi.org/10.11922/11-6035.csd.2023.0147.zh
Primary Topic
Peatlands and Wetlands Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

A dataset of leave nitrogen to phosphorus ratios in China&rsquo;s shrubland ecosystems with a resolution of 1 km

Wenting Xu, Zongqiang Xie, Gaoming Xiong, Ying Deng et al.
China Scientific Data
Peatlands and Wetlands Ecology
article

A dataset of leave nitrogen to phosphorus ratios in China&rsquo;s shrubland ecosystems with a resolution of 1 km

Wenting Xu, Zongqiang Xie, Gaoming Xiong, Ying Deng, Zhiyao Tang, Jiaxiang Li, Qing Liu, Changming Zhao, Yang Wang
article en

Abstract

<p indent="0mm"> The leaf nitrogen to phosphorus ratio (N:P) is an important indicator describing plant nutrition limitation. Large-scale N:P data plays an essential role in assessing nutrition utilization in ecosystems and estimating the carbon sink potential under nitrogen and phosphorus deposition. However, ecosystems are highly influenced by human activities, leading to greater uncertainty in their study. This dataset establishes relationships between ground-measured data and environmental factors using a machine learning algorithm, generating a d dataset of leave nitrogen to phosphorus ratios in China’s shrubland ecosystems with a resolution of <sc>1 km,</sc> with each grid cell representing the estimated leaf N:P ratio, and is available in TIFF format. The testing results and comparison with other similar data both demonstrates the high accuracy of the dataset. This dataset objectively reflects nutrition limitation in shrubland vegetation, and can be used for studies on nutrient utilization and carbon sink potential in shrubland ecosystem.

China Scientific DataVol. 10(1)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 95%
Peatlands and Wetlands Ecology
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A dataset of leave nitrogen to phosphorus ratios in China&amp;rsquo;s shrubland ecosystems with a resolution of 1 km — Wenting Xu, Zongqiang Xie, et al. · China Scientific Data (2025) | TGRS Research Map | TGRS