Spatiotemporal dynamics of bamboo forest net primary productivity with climate variations in Southeast China
Spatiotemporal dynamics of bamboo forest net primary productivity with climate variations in Southeast China
复制标题
中国东南部竹林净初级生产力随气候变化的时空动态
DOI：
10.1016/j.ecolind.2020.106505
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发表时间：
2020
影响因子：
6.9
通讯作者：
Guomo Zhou
中科院分区：
文献类型：
--
作者：
Fangjie Mao;Huaqiang Du;Xuejian Li;Hongli Ge;Lu Cui;Guomo Zhou
净第一性生产力（NPP）是森林生物量积累和碳汇能力的重要指标。竹林因其较高的固碳潜力而备受关注。然而，以往基于实地调查和统计分析的竹林NPP估算方法存在差异，不能准确反映区域尺度的时空动态，导致对竹林NPP长期时空变化和形成机制的认识缺失。基于2001 - 2015年浙江省森林资源连续清查数据，采用基于过程的生态系统模型，估算了浙江省竹林NPP的时空动态。浙江省森林NPP估算值从2001年的250.75 g C m− 2 year − 1增加到2015年的409.09 g C m− 2 year − 1，约占浙江省森林NPP总量的9.39%。结果表明，浙江省有67.51%的竹林区NPP呈增加趋势，且增加最多的是浙江省的西北部、西南部和东部丘陵区。竹林净第一性生产力的时空格局对气候因子较为敏感，与降水量呈显著相关。然而，管理措施、管理水平和政策等人类活动也对竹林净初级生产力产生影响。这一研究成果可为竹林的可持续经营提供参考，并将在后续研究中探讨竹林NPP对未来气候变化的响应。
Net primary productivity (NPP) is an important indicator of forest biomass accumulation as well as carbon sink capacity. Bamboo forests have gained much attention because of their high carbon sequestration potential. However, the estimations of bamboo forest NPP based on field investigations and statistical analyses in previous studies have varied and do not accurately reflect the spatiotemporal dynamics at the regional level, leading to missing information on the long-term spatiotemporal variations and the formative mechanisms of bamboo forest NPP. We used a process-based ecosystem model to estimate the spatiotemporal dynamics of bamboo forest NPP based on continuous forest resources inventory datasets for Zhejiang Province, China, from 2001 to 2015. Estimates of NPP increased from 250.75 g C m−2year−1in 2001 to 409.09 g C m−2year−1in 2015 and accounted for approximately 9.39% of the total NPP of forests in Zhejiang Province. A total of 67.51% of the bamboo forested area showed increasing NPP trends, and most increases occurred in the northwest, southwest, and eastern hilly regions of Zhejiang Province. The spatiotemporal patterns of bamboo forest NPP were sensitive to climatic factors and significantly correlated with precipitation. However, human activities, such as management measures, management levels, and policies, also had effects on the NPP of bamboo forests. This improved understanding of the spatiotemporal dynamics of bamboo forest NPP could provide a reference for the sustainable management of bamboo forests, and we will explore the response of the bamboo forest NPP to future climate changes in later studies.