TY - JOUR
T1 - Climate-induced range shifts of invasive species (Diaphorina citri Kuwayama)
AU - Aidoo, Owusu Fordjour
AU - Souza, Philipe Guilherme Corcino
AU - da Silva, Ricardo Siqueira
AU - Santana, Paulo Antonio
AU - Picanço, Marcelo Coutinho
AU - Kyerematen, Rosina
AU - Sètamou, Mamoudou
AU - Ekesi, Sunday
AU - Borgemeister, Christian
N1 - Publisher Copyright:
© 2022 Society of Chemical Industry.
PY - 2022/6
Y1 - 2022/6
N2 - BACKGROUND: The Asian citrus psyllid (ACP) Diaphorina citri Kuwayama (Hemiptera: Liviidae) is a destructive, invasive species that poses a serious threat to the citrus industry wherever it occurs. The psyllid vectors the phloem-limited bacteria ‘Candidatus Liberibacter americanus’ and ‘Ca. L. asiaticus’, causal agents of the incurable citrus greening disease or huanglongbing (HLB). It is essential to understand which regions and areas are suitable for colonization by ACP to formulate appropriate policy and preventive measures. Considering its biology and ecology, we used a machine learning algorithm based on the MaxEnt (Maximum Entropy) principle, to predict the potential global distribution of ACP using bioclimatic variables and elevation. RESULTS: The model predictions are consistent with the known distribution of ACP and also highlight the potential occurrence outside its current ecological range, that is, primarily in Africa, Asia and the Americas. The most important abiotic variables driving the global distribution of ACP were annual mean temperature, seasonality of temperature and annual precipitation. CONCLUSION: Our findings highlight the need for international collaboration in slowing the spread of invasive pests like D. citri.
AB - BACKGROUND: The Asian citrus psyllid (ACP) Diaphorina citri Kuwayama (Hemiptera: Liviidae) is a destructive, invasive species that poses a serious threat to the citrus industry wherever it occurs. The psyllid vectors the phloem-limited bacteria ‘Candidatus Liberibacter americanus’ and ‘Ca. L. asiaticus’, causal agents of the incurable citrus greening disease or huanglongbing (HLB). It is essential to understand which regions and areas are suitable for colonization by ACP to formulate appropriate policy and preventive measures. Considering its biology and ecology, we used a machine learning algorithm based on the MaxEnt (Maximum Entropy) principle, to predict the potential global distribution of ACP using bioclimatic variables and elevation. RESULTS: The model predictions are consistent with the known distribution of ACP and also highlight the potential occurrence outside its current ecological range, that is, primarily in Africa, Asia and the Americas. The most important abiotic variables driving the global distribution of ACP were annual mean temperature, seasonality of temperature and annual precipitation. CONCLUSION: Our findings highlight the need for international collaboration in slowing the spread of invasive pests like D. citri.
KW - Asian citrus psyllid
KW - climate change
KW - Diaphorina citri
KW - invasive species
KW - MaxEnt
UR - http://www.scopus.com/inward/record.url?scp=85127694110&partnerID=8YFLogxK
U2 - 10.1002/ps.6886
DO - 10.1002/ps.6886
M3 - Article
C2 - 35332664
AN - SCOPUS:85127694110
SN - 1526-498X
VL - 78
SP - 2534
EP - 2549
JO - Pest Management Science
JF - Pest Management Science
IS - 6
ER -