Belowground net primary productivity (BNPP) to a depth of 30-cm for TFFW and marshes by technique.

Figshare2021-07-16 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Belowground_net_primary_productivity_BNPP_to_a_depth_of_30-cm_for_TFFW_and_marshes_by_technique_/14996580 数据链接链接失效反馈

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Belowground net primary productivity (BNPP) to a depth of 30-cm for TFFW and marshes by technique.

创建时间：

2021-07-16

2000–2020年中国陆地生态系统年总初级生产力数据集

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基于ChinaFLUX的长期联网观测数据和公开的数据集，构建了中国陆地生态系统AGPP数据集，并结合生物、气候和土壤因素，利用随机森林回归树通过模拟单位叶面积的AGPP构建了中国AGPP评估模型，生成了2000–2020年中国陆地生态系统AGPP数据，空间分辨率为30arcsecond，数据格式为tiff。本数据集包括1个站点观测的AGPP数据集及21个区域AGPP数据。站点观测的AGPP数据集共

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The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to

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Data supporting the paper: Impacts of Directed Species Loss on Community Productivity in a Subtropical Forest Biodiversity Experiment.1. main_data.xlsx: data of plot-level stand volume and species ric

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Mass ratio effects underlie ecosystem responses to environmental change

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1. Random species loss has been shown experimentally to reduce ecosystem function, sometimes more than other anthropogenic environmental changes. Yet, controversy surrounds the importance of this find

DataONE2019-12-10 更新80

Belowground net primary productivity (BNPP) to a depth of 30-cm for TFFW and marshes by technique.

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