Literature DB >> 31724310

Potential distribution of two invasive pineapple pests under climate change.

Jiufeng Wei1, Lingfei Peng2, Zhiqiang He3, Yunyun Lu1, Fang Wang4.   

Abstract

BACKGROUND: The number of global invasive species has significantly increased during the past two centuries due to globalization. The understanding of species invasion under climate change is crucial for sustainable biodiversity conservation, community dynamics, ecosystem function, and resource distribution. Two invasive species, Dysmicoccus brevipes (Cockerell) and D. neobrevipes (Beardsley) have greatly expanded their ranges during recent years. These insects are now considered as extremely serious pests for various plants, especially pineapple. In addition, they are the primary vectors for pineapple wilt associated virus. However, the potential distribution range and management strategies for these pests are unclear.
RESULTS: In this study, potential risk maps were developed for these pests with MaxEnt (maximum entropy) based on occurrence data under different environmental variables. The potential distributions of these pests were projected for 2050s and 2070s under three climate change scenarios as described in the Special Report on Emissions Scenarios of the Intergovernmental Panel on Climate Change. Results showed that both pests have similar potential distributions, with high environmental suitability in South America, Africa and South Asia. In addition, potential range expansions or reductions were predicted under different climate change scenarios. The annual mean temperature was the most important factor, accounting for 43.4% of D. brevipes distribution. The minimum temperature of coldest month and mean temperature of coldest quarter was found to be responsible for 90.3% of D. neobrevipes distribution.
CONCLUSION: This research provided a theoretical reference framework to develop policies in the management and control of these invasive pests.
© 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry.

Entities:  

Keywords:  MaxEnt; climate change; invasive pests; scale insect; species distribution model

Year:  2019        PMID: 31724310     DOI: 10.1002/ps.5684

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  2 in total

1.  Maximum Entropy Modeling to Predict the Impact of Climate Change on Pine Wilt Disease in China.

Authors:  Xinggang Tang; Yingdan Yuan; Xiangming Li; Jinchi Zhang
Journal:  Front Plant Sci       Date:  2021-04-23       Impact factor: 5.753

2.  Modeling the Invasion of the Large Hive Beetle, Oplostomusfuligineus, into North Africa and South Europe under a Changing Climate.

Authors:  Hossam Abou-Shaara; Sara A Alashaal; Eslam M Hosni; Mohamed G Nasser; Mohammad J Ansari; Sulaiman Ali Alharbi
Journal:  Insects       Date:  2021-03-24       Impact factor: 2.769

  2 in total

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