Your browser doesn't support javascript.
loading
Rice drought risk assessment under climate change: Based on physical vulnerability a quantitative assessment method.
Guo, Hao; Wang, Ran; Garfin, Gregg M; Zhang, Anyu; Lin, Degen; Liang, Qin'ou; Wang, Jing'ai.
Afiliação
  • Guo H; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; College of Geography and Environmental Sciences, Zhejiang Normal University, Zhejiang 321004, China.
  • Wang R; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
  • Garfin GM; School of Natural Resources and the Environment, The University of Arizona, Environment & Natural Resources 2, 1064 E. Lowell St., N419, Tucson, AZ 85721, USA.
  • Zhang A; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
  • Lin D; College of Geography and Environmental Sciences, Zhejiang Normal University, Zhejiang 321004, China.
  • Liang Q; College of Geography and Environmental Sciences, Zhejiang Normal University, Zhejiang 321004, China.
  • Wang J; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Xining 810008, China. Electronic address: jwang@bnu.edu.cn.
Sci Total Environ ; 751: 141481, 2021 Jan 10.
Article em En | MEDLINE | ID: mdl-32889453
ABSTRACT
Drought is the most serious natural disaster causing severe damage to agriculture. Drought impacts on rice (Oryza sativa) production present a major threat to future global food security. In this paper, the Environmental Policy Integrated Climate (EPIC) model was used to simulate the growth of rice, in different periods (short-term (2019-2039), medium-term (2040-2069), long-term (2070-2099)), based on multiple Representative Concentration Pathways (RCP) scenarios. Drought intensity and rice physical vulnerability curves were assessed, based on the output parameters of EPIC, to evaluate global rice yield risk, due to drought. The results show that the average expected loss rate of global rice yield may reach 13.1% (±0.4%) in the future. The high-risk area of rice drought is mainly located in the north of 30°N. The fluctuation of rice drought risk and the proportion of increased risk areas will increase significantly. About 77.6% of the changes in rice drought risk are explained by variations in shortwave radiation (r = 0.88). Projections show that the average value of daily shortwave radiation increases by 1 W/m2 during the rice growth period, accompanied by an expected rice yield loss rate of about 12.7%. The rice drought risk methods presented in this paper provide plausible estimates of forecasting future drought risk under climate change, and address challenges of sparse data; we believe these methods can be applied to decisions for reducing drought-related crop losses and ensuring global food security.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Secas Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Secas Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article