Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Jiangzhou Xia"'
Publikováno v:
Ecological Processes, Vol 12, Iss 1, Pp 1-17 (2023)
Abstract Background The allocation of photosynthate among the parts of plants (e.g., leaves, wood tissues and roots) strongly regulates their growth, and this conditions the terrestrial carbon cycle. Recent studies have shown that atmospheric CO2 and
Externí odkaz:
https://doaj.org/article/dbc465fbf0dd4eaf96054882ae3f6f43
Autor:
Haibo Lu, Xiaoyuan Wang, Haicheng Zhang, Xianhong Xie, Mahdi Nakhavali, Timothy A. Quine, Wenfang Xu, Jiangzhou Xia, Bin He, Zhixin Hao, Xiu Geng, Wenping Yuan
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract Lateral movement of soil organic carbon (SOC) induced by soil erosion and runoff changes spatial distributions of SOC, and further changes the land‐atmosphere CO2 exchange and terrestrial carbon budget. However, current ecosystem models do
Externí odkaz:
https://doaj.org/article/3b4c22667d4340ccaef7ea2d6d40c34d
Publikováno v:
Ecological Indicators, Vol 145, Iss , Pp 109661- (2022)
Evapotranspiration (ET) is a key component of the water and carbon cycles. Because it cannot be observed directly on large regional scales at present, many satellite-based ET datasets have been widely used for different purposes. However, their use h
Externí odkaz:
https://doaj.org/article/fba8b5efa0e64b28a2282339c61740e1
Autor:
Daju Wang, Yuanqiao Li, Jiangzhou Xia, Changxin Liu, Han Chen, Fei Teng, Bin He, Weiyu Shi, Zhangcai Qin, Wenping Yuan
Publikováno v:
Environmental Research Letters, Vol 18, Iss 1, p 015001 (2022)
China is facing a huge challenge in achieving its carbon neutrality goal by 2060 given that it is currently one of the world’s largest greenhouse gas (GHG) emitters and has set a very short timeline for going from peak emissions to carbon neutralit
Externí odkaz:
https://doaj.org/article/557d96093a564e38a5a933afc94ebf2e
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Carbon allocation is one of the most important physiological processes to optimize the plant growth, which exerts a strong influence on ecosystem structure and function, with potentially large implications for the global carbon budget. Howev
Externí odkaz:
https://doaj.org/article/94116dbccd7e43fcbd58584236a54d75
Publikováno v:
Tellus: Series B, Chemical and Physical Meteorology, Vol 67, Iss 0, Pp 1-15 (2015)
The allocation of photosynthate among the plant components plays an important role in regulating plant growth, competition and other ecosystem functions. Several process-based carbon allocation models have been developed and incorporated into ecosyst
Externí odkaz:
https://doaj.org/article/6df0db88d6de416d85f43bc671cbb816
Publikováno v:
Remote Sensing, Vol 6, Iss 3, Pp 1783-1802 (2014)
Grassland ecosystems play an important role in subsistence agriculture and the global carbon cycle. However, the global spatio-temporal patterns and environmental controls of grassland biomass are not well quantified and understood. The goal of this
Externí odkaz:
https://doaj.org/article/3d5f56dd91034e28aae7c48190e7c945
Autor:
Jiangzhou Xia, Minna Ma, Tiangang Liang, Chaoyang Wu, Yuanhe Yang, Li Zhang, Yangjian Zhang, Wenping Yuan
Publikováno v:
Environmental Research Letters, Vol 13, Iss 1, p 014020 (2018)
The grassland of the Tibetan Plateau forms a globally significant biome, which represents 6% of the world’s grasslands and 44% of China’s grasslands. However, large uncertainties remain concerning the vegetation carbon storage and turnover time i
Externí odkaz:
https://doaj.org/article/11762c161b9c4f2aa5530209b23e2f34
Autor:
Dan Liu, Wenwen Cai, Jiangzhou Xia, Wenjie Dong, Guangsheng Zhou, Yang Chen, Haicheng Zhang, Wenping Yuan
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e110407 (2014)
Gross Primary Production (GPP) is the largest flux in the global carbon cycle. However, large uncertainties in current global estimations persist. In this study, we examined the performance of a process-based model (Integrated BIosphere Simulator, IB
Externí odkaz:
https://doaj.org/article/4f1fef86b2b3439eaa9adbb19d2c1236
Autor:
Jiangzhou Xia, Shunlin Liang, Jiquan Chen, Wenping Yuan, Shuguang Liu, Linghao Li, Wenwen Cai, Li Zhang, Yang Fu, Tianbao Zhao, Jinming Feng, Zhuguo Ma, Mingguo Ma, Shaomin Liu, Guangsheng Zhou, Jun Asanuma, Shiping Chen, Mingyuan Du, Gombo Davaa, Tomomichi Kato, Qiang Liu, Suhong Liu, Shenggong Li, Changliang Shao, Yanhong Tang, Xiang Zhao
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e97295 (2014)
The regression tree method is used to upscale evapotranspiration (ET) measurements at eddy-covariance (EC) towers to the grassland ecosystems over the Dryland East Asia (DEA). The regression tree model was driven by satellite and meteorology datasets
Externí odkaz:
https://doaj.org/article/f2aa2a37301543e2993ea056ca6c9aa0