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An integrated analytical framework for estimating net primary productivity based on the "supply-demand" relationship across resource gradients: data source and figure code

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DataCite Commons2024-12-27 更新2025-01-06 收录
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https://figshare.com/articles/dataset/An_integrated_analytical_framework_for_estimating_net_primary_productivity_based_on_the_supply-demand_relationship_across_resource_gradients_data_source_and_figure_code/27237795/2
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In this dataset, 688 field-observed ANPP samples, of which 297 with both ANPP and BNPP data were primarily obtained from three sources: (1) Long Term Ecological Research (LTER) database (Long Term Ecological Research Network, 2016), (2) the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov/) database, and (3) Web of Science using the keyword “ANPP” and “BNPP” or “above/below ground net primary productivity” for publications that might contain ANPP and BNPP data sets. All the ANPP/BNPP/fBNPP observations were screened according to the following criteria. (1) Observations without site-description (e.g., latitude or longitude) were excluded. (2) Observation sites disturbed by human activities (e.g., fertilization, grazing or other human experiments) were also excluded. (3) Measurements with longer durations recorded in the same place were reserved. The data in units of C (g C m-2yr<sup>-1</sup>) were converted into dry matter form (g m<sup>-2 </sup>yr<sup>-1</sup>) with a conversion factor of 2.22 g dry matter/g C (Lieth &amp; Whittaker, 1975)

本数据集共收录688份野外实测地上净初级生产力(ANPP, Aboveground Net Primary Productivity)样本,其中297份同时包含地上净初级生产力与地下净初级生产力(BNPP, Belowground Net Primary Productivity)数据。样本主要来源于三个渠道:(1) 长期生态研究(LTER, Long Term Ecological Research)数据库(Long Term Ecological Research Network, 2016);(2) 橡树岭国家实验室分布式主动存档中心(ORNL DAAC,http://daac.ornl.gov/)数据库;(3) 通过Web of Science数据库,以关键词"ANPP""BNPP"或"地上/地下净初级生产力"进行检索,获取包含ANPP与BNPP数据集的相关文献。所有ANPP、BNPP及fBNPP观测值均按照以下标准进行筛选:(1) 剔除缺少站点基础信息(如纬度或经度)的观测数据;(2) 剔除受人类活动干扰(如施肥、放牧或其他人为实验)的观测站点数据;(3) 保留同一地点的长期连续观测记录。所有以碳(C)为单位的数据(单位:g C m⁻²yr⁻¹)均按照转换系数2.22 g干物质/g C(Lieth & Whittaker, 1975)转换为干物质计量单位(g m⁻² yr⁻¹)。
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figshare
创建时间:
2024-12-27
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