2017
DOI: 10.1016/j.gecco.2016.10.001
|View full text |Cite
|
Sign up to set email alerts
|

Climate driven range divergence among host species affects range-wide patterns of parasitism

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 48 publications
0
12
0
Order By: Relevance
“…Increased periods of warmer, wetter climate in the Midwest due to climate change may create conditions that increase winter survival of white‐tailed deer and increase transmission of meningeal worm, which could lead to further moose declines (Murray et al , Lankester , Pickles et al ). Because presence of the disease is tied to overlap between these 2 species, the increase in meningeal worm is likely to occur on the southern edge of moose range where they are already stressed by climate change (Feldman et al ).…”
Section: Resultsmentioning
confidence: 99%
“…Increased periods of warmer, wetter climate in the Midwest due to climate change may create conditions that increase winter survival of white‐tailed deer and increase transmission of meningeal worm, which could lead to further moose declines (Murray et al , Lankester , Pickles et al ). Because presence of the disease is tied to overlap between these 2 species, the increase in meningeal worm is likely to occur on the southern edge of moose range where they are already stressed by climate change (Feldman et al ).…”
Section: Resultsmentioning
confidence: 99%
“…ENMs were based on a total of 160 occurrence records pertaining to the 5 species obtained from field studies and present-day bioclimatic, spatial heterogeneity and soil classification GIS data layers at 30 arc-seconds (~1 km) resolution. 19 bioclimatic variables along with altitude, slope and aspect data were obtained from the WorldClim database (Hijmans et al, 2005;www (Brown, 2014) and allowing maximum 0.8 correlation coefficient (Feldman et al, 2017). Accuracy of model predictions were evaluated using the area under the (receiver operating characteristic) curve (AUC) calculated in MAXENT (Yi et al, 2016;Fois et al, 2018 ).…”
Section: Ecological Niche Modelling (Enm)mentioning
confidence: 99%
“….worldclim.org). Spatial heterogeneity was quantified using 14 metrics based on the Enhanced Vegetation Index (EVI) acquired by the Moderate Resolution Prior to analysis we performed a paired Pearson correlation test to remove highly correlated parameters allowing for a maximum correlation coefficient of 0.8(Feldman et al, 2017). To predict distribution of species at the Last Glacial Maximum (LGM) we projected models obtained from our present day species-bioclimatic analysis (dataset 2) onto the LGM using three general circulation models (CCSM4, MIROC-ESM, and MPI-ESM-P) available at WorldClim.…”
mentioning
confidence: 99%
“…Whatever the mode and cause of changes in distribution patterns, and indeed for interacting food webs, populations ought to adjust to biogeographic shifts through a suite of mechanisms including demographic patterns, physiological and phenotypic plastic adjustments as well as natural selection (Webster et al, 2016) with consequences on parasitism (Feldman et al, 2017). Two hypothetical scenarios may occur among agroecosystems.…”
Section: Climate Change Impacts On Biogeography and Parasitoid-host Imentioning
confidence: 99%