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Predicting the Brown Planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphacidae) Potential Distribution Under Climatic Change Scenarios in India


Affiliations
1 Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
2 ICAR-RCER, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India
3 Potsdam Institute for Climate Impact Research (PIK), A Member of the Leibniz Association, Potsdam, Germany
4 Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India, India
 

The brown planthopper, Nilaparvata lugens (Stål) is the most serious pest of rice across the world. It is also known to transmit stunted viral disease; the insect alone or in combination with a virus causes the break­down of rice vascular system, leading to economic losses in commercial rice production. Despite its immense economic importance, information on its potential distribution and factors governing the present and future distribution patterns is limited. Thus, in the present study we used maximum entropy modelling with bioclimatic variables to predict the present and future potential distribution of N. lugens in India as an indicator of risk. The predictions were mapped for spatio-temporal variation and area was analysed under suitability ranges. Jackknife analysis indicated that N. lugens geographic distribution was mostly influenced by temperature-based variables that explain up to 68.7% of the distribution, with precipitation factors explaining the rest. Among individual factors, the most important for distribution of N. lugens was annual mean temperature followed by precipitation of coldest quarter and precipitation seasonality. Our results highlight that the highly suitable areas under current climate conditions are 7.3%, whereas all projections show an increase under changing climatic conditions with time up to 2090, and with emission scenarios and a corresponding decrease in low-risk areas. We conclude that climate change increa­ses the risk of N. lugens with increased temperature as it is likely to spread to the previously unsuitable areas in India, demanding adaptation strategies.

Keywords

Climate Change, Maximum Entropy Modeling, Nilaparvata lugens, Potential Distribution, Rice.
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  • Predicting the Brown Planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphacidae) Potential Distribution Under Climatic Change Scenarios in India

Abstract Views: 339  |  PDF Views: 129

Authors

Govindharaj Guru-Pirasanna-Pandi
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
Jaipal Singh Choudhary
ICAR-RCER, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India
Abel Chemura
Potsdam Institute for Climate Impact Research (PIK), A Member of the Leibniz Association, Potsdam, Germany
G. Basana-Gowda
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
Mahendran Annamalai
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
Naveenkumar Patil
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
Totan Adak
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India
Prakash Chandra Rath
Division of Crop Protection, ICAR-National Rice Research Institute, Cuttack 753 006, India, India

Abstract


The brown planthopper, Nilaparvata lugens (Stål) is the most serious pest of rice across the world. It is also known to transmit stunted viral disease; the insect alone or in combination with a virus causes the break­down of rice vascular system, leading to economic losses in commercial rice production. Despite its immense economic importance, information on its potential distribution and factors governing the present and future distribution patterns is limited. Thus, in the present study we used maximum entropy modelling with bioclimatic variables to predict the present and future potential distribution of N. lugens in India as an indicator of risk. The predictions were mapped for spatio-temporal variation and area was analysed under suitability ranges. Jackknife analysis indicated that N. lugens geographic distribution was mostly influenced by temperature-based variables that explain up to 68.7% of the distribution, with precipitation factors explaining the rest. Among individual factors, the most important for distribution of N. lugens was annual mean temperature followed by precipitation of coldest quarter and precipitation seasonality. Our results highlight that the highly suitable areas under current climate conditions are 7.3%, whereas all projections show an increase under changing climatic conditions with time up to 2090, and with emission scenarios and a corresponding decrease in low-risk areas. We conclude that climate change increa­ses the risk of N. lugens with increased temperature as it is likely to spread to the previously unsuitable areas in India, demanding adaptation strategies.

Keywords


Climate Change, Maximum Entropy Modeling, Nilaparvata lugens, Potential Distribution, Rice.

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi12%2F1600-1609