Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Winny Nthangeni"'
Autor:
Alphonse Kayiranga, Xi Chen, Dative Ingabire, Tie Liu, Yaoming Li, Vincent Nzabarinda, Friday Uchenna Ochege, Hubert Hirwa, Eldiiar Duulatov, Winny Nthangeni
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101598- (2024)
Study region: The Aral Sea Basin (ASB) is a transboundary water catchment area in Central Asia, with an area of around 1.8 million km2 and straddled over six countries namely Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, Turkmenistan and Afghanista
Externí odkaz:
https://doaj.org/article/8466f8d2a9854f0eb2ff45689fd8a3fb
Autor:
Alphonse Kayiranga, Baozhang Chen, Fei Wang, Winny Nthangeni, Adil Dilawar, Yves Hategekimana, Huifang Zhang, Lifeng Guo
Publikováno v:
Sustainability; Volume 14; Issue 5; Pages: 2610
The impacts of climate on spatiotemporal variations of eco-physiological and bio-physical factors have been widely explored in previous research, especially in dry areas. However, the understanding of gross primary productivity (GPP) variations and i
Autor:
Adil Dilawar, José Bofana, Fidele Karamage, Venus Tuankrua, Felix Ndayisaba, Alphonse Kayiranga, Huifang Zhang, Shaobo Sun, Yongyut Trisurat, Fei Wang, Baozhang Chen, Winny Nthangeni, Simon Measho
Publikováno v:
Journal of Geophysical Research: Biogeosciences. 125
Autor:
Simon Measho, Alphonse Kayiranga, Felix Ndayisaba, Winny Nthangeni, Huifang Zhang, Baozhang Chen
Publikováno v:
Science of The Total Environment. 798:149281
Ecosystem functioning and related risks could become compromised by climate change and severely affect livestock in different ways. Based on four climate indices (i.e., SPI, SPEI, PDSI and SEDI), livestock determinants and biogeochemical proxies, we
Autor:
Adil Dilawar, Alphonse Kayiranga, Fei Wang, Lifeng Guo, Simon Measho, Venus Tuankrua, Felix Ndayisaba, Shaobo Sun, Huifang Zhang, Baozhang Chen, Winny Nthangeni, Shuan Liu, José Bofana, Hubert Hirwa, Fidele Karamage
Publikováno v:
Agricultural and Forest Meteorology. 310:108662
Analysis of spatiotemporal variations in forest ecohydrological characteristics is critical for understanding the impacts of climate change on forest ecological functions. In this study, using gross primary productivity (GPP), ecosystem water balance