Climate change could alter the distribution of mountain pine beetle outbreaks in western Canada

By Kishan R Sambaraju, A. Carroll, Jun Zhu, K. Stahl, R. D. Moore, B. Aukema. 2012

167 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3d7e7f0fb8783fa0ca63e9618ef714f5a23dd0ae

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In Ecology

In Ecology, Evolution, Behavior and Systematics

In Insect Science

Citations in the corpus

Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (2015, background): “…climate, we further hypothesize that decreased frost occurrence and fewer cold extremes will facilitate pest and pathogen outbreaks (e.g. Virtanen et al., 1998; Hicke et al., 2012; Sambaraju et al., 2012; Price et al., 2013) with supposed important indirect and lagged impacts on the carbon cycle.”
Breach of the northern Rocky Mountain geoclimatic barrier: initiation of range expansion by the mountain pine beetle (2012, background): “This quantification can be especially critical in ecosystems where patterns of land use are altered from historical norms (Meentemeyer et al., 2008) and climate change adds further perturbations (Raffa et al., 2008; Bentz et al., 2010; Sambaraju et al., 2011).”
Observed and anticipated impacts of drought on forest insects and diseases in the United States (2016, background): “, 2009) and further increases are anticipated (Williams and Liebhold, 2002; Bentz et al., 2010; Sambaraju et al., 2012).”
Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment (2014, methodology): “These variables were chosen based on the fly’s biology and ecological requirements, and similar niche modeling studies on other fruit flies and insects (e.g., Li et al. 2009, De Meyer et al. 2010, Sambaraju et al. 2012).”
Mountain Pine Beetle Voltinism and Life History Characteristics across Latitudinal and Elevational Gradients in the Western United States (2014, background): “Both have enabled increased population success at the northern edge of the distribution and at higher elevations (Cudmore et al. 2010, Safranyik et al. 2010, Macfarlane et al. 2013, Sambaraju et al. 2012).”
Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (2014, background): “…cover types, species specific phenology variables (e.g., lower and upper temperature development thresholds) (Buckley et al., 2011; Sambaraju et al., 2012), and remotely sensed variables (e.g., Normalized Difference Vegetation Index) with precise species occurrence records (Prabhakar et al., 2013).”