Plant Diversity ›› 2022, Vol. 44 ›› Issue (06): 598-606.DOI: 10.1016/j.pld.2022.03.003

• Research paper • Previous Articles     Next Articles

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

Yeneayehu Fenetahuna,b, You Yuana, Xin-Wen Xua, Yong-Dong Wanga   

  1. a. National Engineering Technology Research Center for Desert-Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi 830011, Xinjiang, China;
    b. University of Chinese Academy of Sciences, Beijing, 100049, China
  • Received:2020-12-21 Revised:2022-03-04 Online:2022-11-25 Published:2022-12-13
  • Contact: Yeneayehu Fenetahun,;You Yuanyou,;Xin-Wen Xu,;Yong-Dong Wang,
  • Supported by:
    They also acknowledge 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, and International cooperation and Exchanges NSFC (Grant No. 41861144020) financial support to do this paper and the CAS Key Technology Talent Program support.

Abstract: Assessing rangeland productivity is critical to reduce ecological degradation and promote sustainable livestock management. Here, 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 respectively. Results of linear regression showed that both biomass production (R2adj?=?0.672) and NDVI value (R2adj?=?0.471) were significantly decreased from 1990 to 2019. Field data and NDVI values for mean annual biomass showed a significant linear relationship. The model accuracy in the annual relationship between the observed and predicted biomass values was strong (R2adj?=?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 one. This 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 rangelands. And to use for estimating stoking rates and predicting future management techniques for decision making.

Key words: NDVI, Biomass, Carrying capacity, Rangeland, Borana, Season