Coffea arabica yields decline in Tanzania due to climate change: Global implications

被引:148
作者
Craparo, A. C. W. [1 ]
Van Asten, P. J. A. [2 ]
Laederach, P. [3 ]
Jassogne, L. T. P. [2 ]
Grab, S. W. [1 ]
机构
[1] Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, ZA-2050 Johannesburg, South Africa
[2] IITA, Kampala, Uganda
[3] CIAT, Cali, Colombia
关键词
Agriculture; Minimum temperature; Phenology; Adaptation; PRECIPITATION EXTREMES; TEMPERATURE TRENDS; VEGETATIVE GROWTH; SHADE; KILIMANJARO; VARIABILITY; IMPACTS; DRIVEN; FRUIT;
D O I
10.1016/j.agrformet.2015.03.005
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Coffee is the world's most valuable tropical export crop. Recent studies predict severe climate change impacts on Coffee arabica (C. arabica) production. However, quantitative production figures are necessary to provide coffee stakeholders and policy makers with evidence to justify immediate action. Using data from the northern Tanzanian highlands, we demonstrate for the first time that increasing night time (T-min) temperature is the most significant climatic variable responsible for diminishing C. arabica yields between 1961 and 2012. Projecting this forward, every 1 degrees C rise in T-min will result in annual yield losses of 137 +/- 16.87 kg ha(-1) (P=1.80e-10). According to our ARIMA model, average coffee production will drop to 145 +/- 41 kg ha(-1) (P = 8.45e-09) by 2060. Consequently, without adequate adaptation strategies and/or substantial external inputs, coffee production will be severely reduced in the Tanzanian highlands in the near future. Attention should also be drawn to the arabica growing regions of Brazil, Colombia, Costa Rica, Ethiopia and Kenya, as substantiated time series evidence shows these areas have followed strikingly similar minimum temperature trends. This is the first study on coffee, globally, providing essential time series evidence that climate change has already had a negative impact on C. arabica yields. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 56 条
[1]   A neural network based linear ensemble framework for time series forecasting [J].
Adhikari, Ratnadip .
NEUROCOMPUTING, 2015, 157 :231-242
[2]  
Agrawala S., 2003, Development and Climate change in Tanzania: focus on Mount Kilimanjaro
[3]  
Alegre G., 1959, Agron. trop., V14, P23
[4]  
[Anonymous], 2012, TANZANIA COFFEE IND
[5]  
Baffes J., 2003, AFRICA REGION WORKIN, V56
[6]   Decline of vegetative growth in Coffea arabica L in relation to leaf temperature, water potential and stomatal conductance [J].
Barros, RS ;
Mota, JWDE ;
DaMatta, FM ;
Maestri, M .
FIELD CROPS RESEARCH, 1997, 54 (01) :65-72
[7]  
Box G. E. P., 1970, TIME SERIES ANAL FOR, P1970
[8]   EFFECTS OF WATER DEFICIT ON FLOWER OPENING IN COFFEE (COFFEA-ARABICA L) [J].
CRISOSTO, CH ;
GRANTZ, DA ;
MEINZER, FC .
TREE PHYSIOLOGY, 1992, 10 (02) :127-139
[9]  
DaMatta Fábio M., 2007, Braz. J. Plant Physiol., V19, P485, DOI 10.1590/S1677-04202007000400014
[10]  
Davis AS, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]