干旱区生态环境知识资源中心(Arid): Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001-2020

Arid

DOI	10.3390/su14052610
	Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001-2020
	Kayiranga, Alphonse; Chen, Baozhang; Wang, Fei; Nthangeni, Winny; Dilawar, Adil; Hategekimana, Yves; Zhang, Huifang; Guo, Lifeng
通讯作者	Chen, BZ
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2022
卷号	14 期号:5
英文摘要	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 its interactions with climate in humid and semi-humid areas remains unclear. Based on hyperspectral satellite remotely sensed vegetation phenology processes and related indices and the re-analysed climate datasets, we investigated the seasonal and inter-annual variability of GPP by using different light-use efficiency (LUE) models including the Carnegie-Ames-Stanford Approaches (CASA) model, vegetation photosynthesis models (VPMChl and VPMCanopy) and Moderate Resolution Imaging Spectroradiometer (MODIS) GPP products (MOD17A2H) during 2001-2020 over the Great Lakes region of Sub-Saharan Africa (GLR-SSA). The models' validation against the in situ GPP-based upscaled observations (GPP-EC) indicated that these three models can explain 82%, 79% and 80% of GPP variations with root mean square error (RMSE) values of 5.7, 8.82 and 10.12 g C center dot m(-2)center dot yr(-1), respectively. The spatiotemporal variations of GPP showed that the GLR-SSA experienced: (i) high GPP values during December-May; (ii) high annual GPP increase during 2002-2003, 2011-2013 and 2015-2016 and annual decreasing with a marked alternation in other years; (iii) evergreen broadleaf forests having the highest GPP values while grasslands and croplands showing lower GPP values. The spatial correlation between GPP and climate factors indicated 60% relative correlation between precipitation and GPP and 65% correction between surface air temperature and GPP. The results also showed high GPP values under wet conditions (in rainy seasons and humid areas) that significantly fell by the rise of dry conditions (in long dry season and arid areas). Therefore, these results showed that climate factors have potential impact on GPP variability in this region. However, these findings may provide a better understanding of climate implications on GPP variability in the GLR-SSA and other tropical climate zones.
英文关键词	gross primary productivity light-use efficiency Carnegie-Ames-Stanford Approaches (CASA) model vegetation photosynthesis model (VPM) Sub-Saharan African tropics Great Lakes
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000775768800001
WOS关键词	CARBON USE EFFICIENCY ; WATER-USE EFFICIENCY ; LIGHT-USE EFFICIENCY ; FOREST PHOTOSYNTHESIS ; CO2 CONCENTRATION ; GLOBAL PATTERNS ; MODIS ; ECOSYSTEM ; MODELS ; EXCHANGE
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394543
推荐引用方式 GB/T 7714	Kayiranga, Alphonse,Chen, Baozhang,Wang, Fei,et al. Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001-2020[J],2022,14(5).
APA	Kayiranga, Alphonse.,Chen, Baozhang.,Wang, Fei.,Nthangeni, Winny.,Dilawar, Adil.,...&Guo, Lifeng.(2022).Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001-2020.SUSTAINABILITY,14(5).
MLA	Kayiranga, Alphonse,et al."Spatiotemporal Variation in Gross Primary Productivity and Their Responses to Climate in the Great Lakes Region of Sub-Saharan Africa during 2001-2020".SUSTAINABILITY 14.5(2022).