MOO‐LLANES, D. A.;
ARQUE‐CHUNGA, W.;
CARMONA‐CASTRO, O.;
YAÑEZ‐ARENAS, C.;
YAÑEZ‐TRUJILLANO, H. H.;
CHEVERRÍA‐PACHECO, L.;
BAAK‐BAAK, C. M.;
CÁCERES, A. G.
Shifts in the ecological niche of Lutzomyia peruensis under climate change scenarios in Peru
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Media type:
E-Article
Title:
Shifts in the ecological niche of Lutzomyia peruensis under climate change scenarios in Peru
Contributor:
MOO‐LLANES, D. A.;
ARQUE‐CHUNGA, W.;
CARMONA‐CASTRO, O.;
YAÑEZ‐ARENAS, C.;
YAÑEZ‐TRUJILLANO, H. H.;
CHEVERRÍA‐PACHECO, L.;
BAAK‐BAAK, C. M.;
CÁCERES, A. G.
Description:
<jats:title>Abstract</jats:title><jats:p>The <jats:styled-content style="fixed-case">P</jats:styled-content>eruvian <jats:styled-content style="fixed-case">A</jats:styled-content>ndes presents a climate suitable for many species of sandfly that are known vectors of leishmaniasis or bartonellosis, including <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>utzomyia peruensis</jats:italic> (<jats:styled-content style="fixed-case">D</jats:styled-content>iptera: <jats:styled-content style="fixed-case">P</jats:styled-content>sychodidae), among others. In the present study, occurrences data for <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>u. peruensis</jats:italic> were compiled from several items in the scientific literature from <jats:styled-content style="fixed-case">P</jats:styled-content>eru published between 1927 and 2015. Based on these data, ecological niche models were constructed to predict spatial distributions using three algorithms [Support vector machine (SVM), the Genetic Algorithm for Rule‐set Prediction (GARP) and Maximum Entropy (MaxEnt)]. In addition, the environmental requirements of <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>u. peruensis</jats:italic> and three niche characteristics were modelled in the context of future climate change scenarios: (a) potential changes in niche breadth; (b) shifts in the direction and magnitude of niche centroids, and (c) shifts in elevation range. The model identified areas that included environments suitable for <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>u. peruensis</jats:italic> in most regions of <jats:styled-content style="fixed-case">P</jats:styled-content>eru (45.77%) and an average altitude of 3289 m a.s.l. Under climate change scenarios, a decrease in the distribution areas of <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>u. peruensis</jats:italic> was observed for all representative concentration pathways. However, the centroid of the species' ecological niche showed a northwest direction in all climate change scenarios. The information generated in this study may help health authorities responsible for the supervision of strategies to control leishmaniasis to coordinate, plan and implement appropriate strategies for each area of risk, taking into account the geographic distribution and potential dispersal of <jats:italic><jats:styled-content style="fixed-case">L</jats:styled-content>u. peruensis</jats:italic>.</jats:p>