Predicting climate-change-caused changes in global temperature on potato tuber moth Phthorimaea operculella (Zeller) distribution and abundance using phenology modeling and GIS mapping

By J. Kroschel, Marc Sporleder, H. Tonnang, H. Juárez, P. Carhuapoma, J. Gonzales, R. Simon. 2013

159 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Insect Science

View Paper: https://www.semanticscholar.org/paper/b5f2594ddbfd5981f0c7f3f907c207c11da226d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. François Rebaudo
2. Victor‐Badre Rabhi

In Ecology, Evolution, Behavior and Systematics

1. François Rebaudo
2. Victor‐Badre Rabhi

In Insect Science

1. François Rebaudo
2. Victor‐Badre Rabhi

Citations in the corpus

• Modeling temperature‐dependent development rate and phenology in insects: review of major developments, challenges, and future directions (2018, background): “…can be used to predict emergence times (Bentz et al., 1991), distribution (Fand et al., 2014), outbreaks (Delatte et al., 2009), and voltinism (Kroschel et al., 2013), with implications for pest management, epidemiology, forensic science, mass insect rearing, and conservation plans (Roy et…”