Borana rangeland of southern Ethiopia:Estimating biomass production and carrying capacity using field and remote sensing data

作     者：Yeneayehu Fenetahun You Yuan Xin-Wen Xu Yong-Dong Wang Yeneayehu Fenetahun;You Yuan;Xin-Wen Xu;Yong-Dong Wang

作者机构：National Engineering Technology Research Center for Desert-Oasis Ecological ConstructionXinjiang Institute of Ecology and GeographyChinese Academy of Sciences818 South Beijing RoadUrumqi 830011XinjiangChina University of Chinese Academy of SciencesBeijing100049China 

出 版 物：《Plant Diversity》 (植物多样性（英文版）)

年 卷 期：2022年第44卷第6期

页      面：598-606页

核心收录：

学科分类：0810[工学-信息与通信工程] 090503[农学-草业科学] 0909[农学-草学] 0905[农学-畜牧学] 08[工学] 09[农学] 0903[农学-农业资源与环境] 081002[工学-信号与信息处理] 

基　　金：the University of Chinese Academy of Science (UCAS) and CAS-TWAS fellowship program that provide funding and the PhD Scholarship for the first author the African Great Green Wall Adaptation Technical Cooperation Research and Demonstration (2018YFE0106000) Science and Technology Partnership Program,Ministry of Science and Technology of China (Grant No.KY201702010) Integration and application of appropriate technologies for desertification control in Africa (Grant No.SAJC202108) International cooperation and Exchanges NSFC (Grant No.41861144020) financial support to do this paper the CAS Key Technology Talent Program support the support of the "Tianchi doctor program" of Xinjiang Uygur Autonomous Region in 2020 the ESA CCI Land Cover project 

主　　题：NDVI Biomass Carrying capacity Rangeland Borana Season 

摘      要：Assessing rangeland productivity is critical to reduce ecological degradation and promote sustainable livestock ***,we estimated biomass productivity and carrying capacity dynamics in the Borana rangeland of southern Ethiopia by using field-based data and remote sensing data(i.e.,normalized difference vegetation index(NDVI)).Data was collected from both rainy and dry seasons when biomass production was high and low *** of linear regression showed that both biomass production(R^(2)_(adj)=0.672)and NDVI value(R^(2)_(adj)=0.471)were significantly decreased from 1990 to *** data and NDVI values for mean annual biomass showed a significant linear *** model accuracy in the annual relationship between the observed and predicted biomass values was strong(R^(2)_(adj)=0.986)but with high standard error,indicating that the observed biomass production in the rangeland area was not in good condition as compared with the predicted *** study suggests that,using NDVI data and field-based data in combined way has high potential to estimate rangeland biomass and carrying capacity dynamics at extensively grazed arid and semi-arid *** to use for estimating stoking rates and predicting future management techniques for decision making.