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泛中亚干旱区植物比叶面积观测数据集

A dataset of specific leaf area observations in the Pan-Central Asian Arid Zone
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摘要 泛中亚干旱区的气候复杂多变,植被具有较高的生态敏感性。比叶面积(Specific leaf area,SLA)是反映植物获取资源和适应环境能力的关键叶功能性状,已被广泛应用于植被响应环境变化研究。本数据集收集了2000–2023年泛中亚干旱区公开发表的植物比叶面积的文献资料,构建了泛中亚干旱区植物比叶面积观测数据集。本数据集包含362个物种共835条比叶面积的观测记录,涵盖落叶阔叶乔木、落叶针叶乔木、常绿阔叶乔木、常绿针叶乔木、落叶阔叶灌木、常绿阔叶灌木和草本植物7种植物功能类型。此外,还包含了采样点经纬度、海拔、地理区域等辅助信息。建立和共享本数据集有助于深入研究干旱区植物对气候变化的响应与适应,理解植物在资源限制性环境中的生存策略,并为生态系统模型优化提供可靠的数据支持。 The climate in the Pan-Central Asian Arid Zone is intricate and subject to variability,with vegetation showing heightened ecological sensitivity.Specific leaf area(SLA)is a key leaf functional trait,indicating the ability of plants to acquire resources and adapt to the environment,and it has been widely used in studies of vegetation responses to environmental changes.Drawing from observations documented in existing literature published during 2000-2023,we have compiled a dataset of specific leaf area in the Pan-Central Asian Arid Zone.The dataset contained 835 entries of specific leaf area for 362 species,covering seven plant functional types including deciduous broadleaved tree,deciduous needleleaf tree,evergreen broadleaf tree,evergreen needleleaf tree,deciduous broadleaf shrub,evergreen broadleaf shrub and grass.In addition,supporting information such as latitude,longitude,elevation,and geographic area of the sampling site have also been included in the dataset.The establishment and sharing of this dataset can help further study the response and adaptation of plants to climate change in arid zones,understand survival strategies of plants in resource-limited environment,and provide reliable data support for the optimization of ecosystem models.
作者 郑元昊 张黎 任小丽 何洪林 ZHENG Yuanhao;ZHANG Li;REN Xiaoli;HE Honglin(Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P.R.China;National Ecosystem Science Data Center,Beijing 100101,P.R.China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100190,P.R.China)
出处 《中国科学数据(中英文网络版)》 CSCD 2024年第3期89-96,共8页 China Scientific Data
基金 国家重点研发计划(2019YFE0126500)。
关键词 比叶面积 叶功能性状 泛中亚干旱区 数据集 specific leaf area leaf functional traits Pan-Central Asian Arid Zone dataset
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