中国灌丛叶片氮磷比1 km分辨率数据集  

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

作　　者：邓滢 徐文婷[1] 熊高明[1] 李家湘[2] 王杨[1] 赵常明[1] 刘庆[3] 唐志尧[4] 谢宗强[1] DENG Ying;XU Wenting;XIONG Gaoming;LI Jiaxiang;WANG Yang;ZHAO Changming;LIU Qing;TANG Zhiyao;XIE Zongqiang(State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences,Beijing 100093,P.R.China;Collage of Forestry,Central South University of Forestry and Technology,Changsha 410004,P.R.China;CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province,Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu 610041,P.R.China;Institute of Ecology,College of Urban and Environmental Sciences,Laboratory for Earth Surface Processes of the Ministry of Education,Peking University,Beijing 100871,P.R.China)

机构地区：[1]中国科学院植物研究所,植被与环境变化国家重点实验室,北京100093 [2]中南林业科技大学,林学院,长沙410004 [3]中国科学院成都生物研究所,中国科学院山地生态恢复与生物资源利用重点实验室,生态恢复与生物多样性保育四川省重点实验室,成都610041 [4]北京大学,城市与环境学院,北京大学生态研究中心,地表过程分析与模拟教育部重点实验室,北京100871

出　　处：《中国科学数据(中英文网络版)》2025年第1期225-235,共11页China Scientific Data

基　　金：国家生态科学数据中心(NESDC20210108);国家自然科学基金(32201323);湖北神农架森林生态系统国家野外科学观测研究站(60216F1001);中国科学院战略性先导科技专项(XDA5050300)。

摘　　要：叶片氮磷比是反映植物养分限制的重要指标之一,大尺度的叶片氮磷比数据在评估区域生态系统养分利用、氮磷沉降作用下的碳汇潜力具有重要作用。而灌丛生态系统易受人类活动影响,不确定性较大,研究灌丛植被叶片氮磷比兼具科学研究和应用价值。本数据集基于可靠的地面实测数据,结合地理、气象、土壤、人类活动和生物多种要素,利用机器学习算法,生成一套中国灌丛植被叶片氮磷比空间分布数据集,分辨率为1 km,每个栅格的值为估算的叶片氮磷比,数据格式为tiff。通过测试集验证和与其他产品比较两个方面的评估,本数据集具有较好的精度,能够客观地反映灌丛植被养分限制状况,为灌丛生态系统养分利用、碳汇潜力估算提供必要的数据支持。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 1 km,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.

关 键 词：灌丛生态系统 氮磷比 机器学习 升尺度 

分 类 号：Q948[生物学—植物学] TP311.13[自动化与计算机技术—计算机软件与理论]