Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model

被引:21
|
作者
Hebbar, Kukkehalli Balachandra [1 ]
Abhin, Pulloott Sukumar [1 ]
Jose, Veliyathukudy Sanjo [2 ]
Neethu, Poonchalikundil [1 ]
Santhosh, Arya [1 ]
Shil, Sandip [3 ]
Prasad, P. V. Vara [4 ]
机构
[1] Indian Council Agr Res, Cent Plantat Crops Res Inst, Kasaragod 671124, Kerala, India
[2] Forest Res Inst, Dehra Dun 248001, Uttarakhand, India
[3] Indian Council Agr Res, Cent Plantat Crops Res Inst Res Ctr, Mohit Nagar 735101, W Bengal, India
[4] Kansas State Univ, Sustainable Intensificat Innovat Lab, Manhattan, KS 66506 USA
来源
PLANTS-BASEL | 2022年 / 11卷 / 06期
基金
美国农业部;
关键词
coconut; high temperature; prediction; MaxEnt; vulnerability; climate change; SPECIES DISTRIBUTIONS; PLANT-DISTRIBUTION; IMPACTS; YIELD; DETERMINANTS; FUTURE; SUITABILITY; GROWTH;
D O I
10.3390/plants11060731
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Climate change and climate variability are projected to alter the geographic suitability of lands for crop cultivation. Early awareness of the future climate of the current cultivation areas for a perennial tree crop like coconut is needed for its adaptation and sustainable cultivation in vulnerable areas. We analyzed coconut's vulnerability to climate change in India, based on climate projections for the 2050s and the 2070s under two Representative Concentration Pathways (RCPs): 4.5 and 8.5. Based on the current cultivation regions and climate change predictions from seven ensembles of Global Circulation Models, we predict changes in relative climatic suitability for coconut cultivation using the MaxEnt model. Bioclimatic variables Bio 4 (temperature seasonality, 34.4%) and Bio 7 (temperature annual range, 28.7%) together contribute 63.1%, which along with Bio 15 (precipitation seasonality, 8.6%) determined 71.7% of the climate suitability for coconuts in India. The model projected that some current coconut cultivation producing areas will become unsuitable (plains of South interior Karnataka and Tamil Nadu) requiring crop change, while other areas will require adaptations in genotypic or agronomic management (east coast and the south interior plains), and yet in others, the climatic suitability for growing coconut will increase (west coast). The findings suggest the need for adaptation strategies so as to ensure sustainable cultivation of coconut at least in presently cultivated areas.
引用
下载
收藏
页数:23
相关论文
共 50 条
  • [41] Predicting the potential geographical distribution of onion thrips, Thrips tabaci in India based on climate change projections using MaxEnt
    V. Karuppaiah
    R. Maruthadurai
    Bappa Das
    P. S. Soumia
    Ankush S. Gadge
    A. Thangasamy
    S. V. Ramesh
    Dhananjay V. Shirsat
    Vijay Mahajan
    Hare Krishna
    Major Singh
    Scientific Reports, 13
  • [42] Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling
    Li, Yongxiang
    Shao, Wenhao
    Jiang, Jingmin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (15) : 21751 - 21768
  • [43] Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling
    Yongxiang Li
    Wenhao Shao
    Jingmin Jiang
    Environmental Science and Pollution Research, 2022, 29 : 21751 - 21768
  • [44] Predicting the Potential Distribution of Haloxylon ammodendron under Climate Change Scenarios Using Machine Learning of a Maximum Entropy Model
    Xiao, Fengjin
    Liu, Qiufeng
    Qin, Yun
    BIOLOGY-BASEL, 2024, 13 (01):
  • [45] Distribution modeling for predicting habitat suitability for citron (Citrus medica L.) under climate change scenarios
    Maurya, Aakash
    Semwal, Manoj
    Mishra, Bhavya Priyadarshini
    Mohan, Ram
    Rana, Tikam Singh
    Nair, Narayanan K.
    FLORA, 2023, 304
  • [46] Prediction of the potential distribution area of Jacaranda mimosifolia in China under climate change using the MaxEnt model
    Li, Xiaomei
    Zhang, Guowu
    Xie, Chunping
    Qiu, Jianhuang
    Liu, Xuefeng
    FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2024, 7
  • [47] Current and future predicting potential areas of Oxytenanthera abyssinica (A. Richard) using MaxEnt model under climate change in Northern Ethiopia
    Yikunoamlak Gebrewahid
    Selemawi Abrehe
    Esayas Meresa
    Gebru Eyasu
    Kiros Abay
    Gebrehiwot Gebreab
    Kiros Kidanemariam
    Gezu Adissu
    Gebrekidan Abreha
    Girmay Darcha
    Ecological Processes, 9
  • [48] Projecting the Potential Distribution of Glossina morsitans (Diptera: Glossinidae) under Climate Change Using the MaxEnt Model
    Zhou, Ruobing
    Gao, Yuan
    Chang, Nan
    Gao, Tai
    Ma, Delong
    Li, Chao
    Liu, Qiyong
    BIOLOGY-BASEL, 2021, 10 (11):
  • [49] Current and future predicting potential areas of Oxytenanthera abyssinica (A. Richard) using MaxEnt model under climate change in Northern Ethiopia
    Gebrewahid, Yikunoamlak
    Abrehe, Selemawi
    Meresa, Esayas
    Eyasu, Gebru
    Abay, Kiros
    Gebreab, Gebrehiwot
    Kidanemariam, Kiros
    Adissu, Gezu
    Abreha, Gebrekidan
    Darcha, Girmay
    ECOLOGICAL PROCESSES, 2020, 9 (01)
  • [50] Potentially suitable habitat prediction of Pinus massoniana Lamb. in China under climate change using Maxent model
    Chi, Yi
    Wang, G. Geoff
    Zhu, Mengxun
    Jin, Peng
    Hu, Yue
    Shu, Pengzhou
    Wang, Zhongxu
    Fan, Aifei
    Qian, Penghong
    Han, Yini
    Jin, Songheng
    FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 6