Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil
Data description This dataset is associated with the paper "Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil".This dataset includes the soil organic carbon turnover time (τ soc ) based on radiocarbon signals at the global and regional sca...
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ftzenodo:oai:zenodo.org:7623837 2024-09-15T18:30:14+00:00 Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil Wang, Jing Xia, Jianyang 2023-02-03 https://doi.org/10.5281/zenodo.7623837 unknown Zenodo https://doi.org/10.5281/zenodo.7623836 https://doi.org/10.5281/zenodo.7623837 oai:zenodo.org:7623837 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.762383710.5281/zenodo.7623836 2024-07-27T05:42:22Z Data description This dataset is associated with the paper "Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil".This dataset includes the soil organic carbon turnover time (τ soc ) based on radiocarbon signals at the global and regional scales. Global synthesis The analysis of global soil radiocarbon data was done using the International Soil Radiocarbon Database (ISRaD v.1.0; Lawrence et al., 2020). ISRaD is an open source data with the records of 8 biomes ( i.e., forest, grassland, cropland, shrubland, savanna, tundra, permafrost, and others). Since we focus on the turnover time of SOC (τ soc ) based on radiocarbon occurring in the natural forest ecosystem, so we limited our study to data from soil depth within 200 cm in the forest ecosystem. We built a database of radiocarbon-based soil turnover time (τ soc ) of 1897 soil samples from 245 forest locations worldwide. It covers a wide geographical range (35.65 o S ‒ 68.8 o N; 159.64 °W – 173.57 °E) and a broad nature climate zone (-5.2 o C to 40.0 o C; 58.66 mm to 6900 mm) over the half a century (1958 – 2017).Where forest age is missing, we derived it from The global forest age dataset (GFAD v 1.0; Poulter et al., 2018). The GFAD database represents the distribution of forest stand age during 2000 – 2010 years. Regional analysis Soil sampling in forests across the Eastern Asian Monsoon region We sampled soils from twelve permanent forest plots in five mountains in the Eastern Asian Monsoon region (Table 1, Figure 1, and S1). Five of the twelve forest plots are members of the Smithsonian Forest Global Earth Observatory network (ForestGEO, https://forestgeo.si.edu/; Anderson-Teixeira et al., 2018; Chu et al., 2019). The other seven forest plots are members of China's National Ecosystem Research Network (CNERN, http://www.cern.ac.cn). In the Eastern Asian Monsoon region, more than half of the total annual rainfall occurs in the summer season ( i.e. , June, July, and August) (Tardif et al., 2020; Tian et al., ... Other/Unknown Material permafrost Tundra Zenodo |
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Data description This dataset is associated with the paper "Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil".This dataset includes the soil organic carbon turnover time (τ soc ) based on radiocarbon signals at the global and regional scales. Global synthesis The analysis of global soil radiocarbon data was done using the International Soil Radiocarbon Database (ISRaD v.1.0; Lawrence et al., 2020). ISRaD is an open source data with the records of 8 biomes ( i.e., forest, grassland, cropland, shrubland, savanna, tundra, permafrost, and others). Since we focus on the turnover time of SOC (τ soc ) based on radiocarbon occurring in the natural forest ecosystem, so we limited our study to data from soil depth within 200 cm in the forest ecosystem. We built a database of radiocarbon-based soil turnover time (τ soc ) of 1897 soil samples from 245 forest locations worldwide. It covers a wide geographical range (35.65 o S ‒ 68.8 o N; 159.64 °W – 173.57 °E) and a broad nature climate zone (-5.2 o C to 40.0 o C; 58.66 mm to 6900 mm) over the half a century (1958 – 2017).Where forest age is missing, we derived it from The global forest age dataset (GFAD v 1.0; Poulter et al., 2018). The GFAD database represents the distribution of forest stand age during 2000 – 2010 years. Regional analysis Soil sampling in forests across the Eastern Asian Monsoon region We sampled soils from twelve permanent forest plots in five mountains in the Eastern Asian Monsoon region (Table 1, Figure 1, and S1). Five of the twelve forest plots are members of the Smithsonian Forest Global Earth Observatory network (ForestGEO, https://forestgeo.si.edu/; Anderson-Teixeira et al., 2018; Chu et al., 2019). The other seven forest plots are members of China's National Ecosystem Research Network (CNERN, http://www.cern.ac.cn). In the Eastern Asian Monsoon region, more than half of the total annual rainfall occurs in the summer season ( i.e. , June, July, and August) (Tardif et al., 2020; Tian et al., ... |
format |
Other/Unknown Material |
author |
Wang, Jing Xia, Jianyang |
spellingShingle |
Wang, Jing Xia, Jianyang Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
author_facet |
Wang, Jing Xia, Jianyang |
author_sort |
Wang, Jing |
title |
Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
title_short |
Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
title_full |
Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
title_fullStr |
Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
title_full_unstemmed |
Biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
title_sort |
biotic and abiotic factors controlling spatial variation of mean carbon turnover time in forest soil |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://doi.org/10.5281/zenodo.7623837 |
genre |
permafrost Tundra |
genre_facet |
permafrost Tundra |
op_relation |
https://doi.org/10.5281/zenodo.7623836 https://doi.org/10.5281/zenodo.7623837 oai:zenodo.org:7623837 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.762383710.5281/zenodo.7623836 |
_version_ |
1810471704833556480 |