Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Zhuguo Ma"'
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-15 (2023)
Abstract Droughts cause multiple ecological and social damages. Drought indices are key tools to quantify drought severity, but they are mainly limited to timescales of monthly or longer. However, shorter-timescale (e.g., daily) drought indices enabl
Externí odkaz:
https://doaj.org/article/66ab8150084a49f99863ef03f20de082
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 4, Pp 870-886 (2023)
The Qinghai-Xizang Plateau is one of the most sensitive areas to global climate change and plays an important role in regional water cycle.Many studies have been conducted on the dry and wet variations over the Qinghai-Xizang Plateau in recent decade
Externí odkaz:
https://doaj.org/article/bf99897ba7334e5793ef7be294dad2b7
Publikováno v:
Earth and Space Science, Vol 9, Iss 12, Pp n/a-n/a (2022)
Abstract A coupled soil temperature (ST) and moisture (SM) balance reflects a synthetic climate regime, having huge ecological impacts. This paper used ST and SM data from the European Center for Medium‐Range Weather Forecasts climate reanalysis‐
Externí odkaz:
https://doaj.org/article/4b5e07ac226f4cc085b30e6c71fb435c
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 1, Pp n/a-n/a (2022)
Abstract Explicit representations of microbial processes in soil organic carbon (SOC) decomposition models have received increasing attention, because soil heterotrophic respiration remains one of the greatest uncertainties in climate‐carbon feedba
Externí odkaz:
https://doaj.org/article/54d0e6d15766462c8302cb66d2af76ff
Publikováno v:
Environmental Research Letters, Vol 18, Iss 10, p 104024 (2023)
Drylands are the world’s largest biome and dominate the trends and interannual variability of global carbon sinks. Although a ‘greening’ trend of global drylands has been widely reported, large uncertainties remain in attributing its drivers. I
Externí odkaz:
https://doaj.org/article/bb6c5a36903a420fa4871f6acadaaefe
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 12, Iss 3, Pp 201-207 (2019)
The interdecadal variability of precipitation over sub-Saharan Africa (SSA) and central North China (CNC) is examined and compared in this study. Previous studies have found that the two regions have similar interdecadal dry–wet evolution in the pa
Externí odkaz:
https://doaj.org/article/ecab0d9c6a8247b7ab4d499b795acfb2
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 12, Iss 2, Pp 116-123 (2019)
Reforestation has attracted worldwide attention because of its multiple environmental benefits, but its impact on water resources is complicated and still controversial. In this study, the authors conducted numerical experiments within and around the
Externí odkaz:
https://doaj.org/article/711897622fb14a7595a21602ec0a3077
Publikováno v:
Environmental Research Letters, Vol 17, Iss 12, p 124043 (2022)
Vegetation greening in China has been extensively examined, but little is known about its seasonal characteristics and its association with soil moisture (SM) and temperature changes. Using high-resolution (0.1°, 8 d) datasets of leaf area index (LA
Externí odkaz:
https://doaj.org/article/043fc1baa0e74447bd0e0e13cd4aafb9
Publikováno v:
Environmental Research Letters, Vol 15, Iss 2, p 024006 (2020)
Tree-ring records have shown a significant upward trend of late summer temperatures over the Tibetan Plateau (TP) in recent decades. More detailed instrumental observations over the TP have also shown an increase in warm extremes, especially in the h
Externí odkaz:
https://doaj.org/article/c67bb8acd29849e596b9319be4f1c4e9
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