Predicting the abatement rates of soil organic carbon sequestration management in Western European vineyards using random forest regression
Predicting the abatement rates of soil organic carbon sequestration management in Western European vineyards using random forest regression
复制标题
使用随机森林回归预测西欧葡萄园土壤有机碳封存管理的减排率
DOI:
10.1016/j.cesys.2021.100024
复制
发表时间:
2021
影响因子:
5
通讯作者:
Payen F
中科院分区:
文献类型:
--
作者:
Payen F
The implementation of soil organic carbon sequestration (SCS) practices on agricultural land has the potential to help to mitigate climate change at the global level. However, our understanding of the extent to which viticultural soils can contribute to this global effort remains limited. In this study, we used a random forest regression to predict the change in soil organic carbon stocks in vineyards of Western Europe under five SCS practices: organic amendments (OA), cover cropping (CC), organic amendments and no-tillage (OA+NT), no-tillage and cover cropping (NT+CC), and a combination of organic amendments, no-tillage and cover cropping (OA+NT+CC). The abatement rate of each SCS practice was modelled and mapped for six countries in Western Europe: Spain, France, Italy, Portugal, Germany and Austria. Overall, the highest abatement rate was reached under OA+NT+CC (8.29 Mg CO2-eq. ha−1yr−1), whereas the lowest was observed under CC (7.03 Mg CO2-eq. ha−1yr−1). Results showed major differences in abatement rates at the regional and national level. Despite these differences, the adoption of SCS practices was associated with a high abatement potential in the six countries and should be encouraged in the viticulture sector as a way to offset greenhouse gas emissions via soil carbon sequestration.
登录
查看更多内容
影响因子:
4.9
作者:
Bloom, A. A.;Williams, M.
通讯作者:
Williams, M.
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
G. Gastaldi;B. Minasny
通讯作者:
B. Minasny
DOI:
10.1002/joc.5086
发表时间:
2017-10-01
期刊:
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子:
--
作者:
Fick, Stephen E.;Hijmans, Robert J.
通讯作者:
Hijmans, Robert J.
影响因子:
2.6
作者:
Eldon, Jon;Gershenson, Alexander
通讯作者:
Gershenson, Alexander
影响因子:
3.3
作者:
Siroky, David S.
通讯作者:
Siroky, David S.