2019
DOI: 10.1007/s10531-019-01775-y
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Predicting invasion potential and niche dynamics of Parthenium hysterophorus (Congress grass) in India under projected climate change

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Cited by 65 publications
(22 citation statements)
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“…2050 and 2070). We constructed ensemble maps based on the median of three runs of all the selected models in which individual model had AUC value equal to or greater than 0.7 and TSS and Kappa values equal to or greater than 0.6 based on current climatic scenario 41,60,102 (Supplementary Table S13). The median files obtained were used for further analysis.…”
Section: Methodsmentioning
confidence: 99%
“…2050 and 2070). We constructed ensemble maps based on the median of three runs of all the selected models in which individual model had AUC value equal to or greater than 0.7 and TSS and Kappa values equal to or greater than 0.6 based on current climatic scenario 41,60,102 (Supplementary Table S13). The median files obtained were used for further analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The Uri locality has relatively low‐altitude and warmer climate than the average altitude of the rest of Kashmir. With projections of the rapidly warming Himalaya, P. hysterophorus may undergone a shift in its climatic niche in the near future (Ahmad et al ). Most likely, the relatively warmer winter temperature may facilitate its distribution in Kashmir.…”
Section: Discussionmentioning
confidence: 99%
“…However, a herbarium record in Forest Research Institute, Dehradun (India) indicates P. hysterophorus to have been accidently introduced by Dr Brandis in 1880 (Bennet et al ). Currently, India is one of the highly‐invaded countries by P. hysterophorus in the world (Ahmad et al ), occurring in most of its states in different densities, nearly affecting 35 million hectares of land (Kumar and Varshney ). Having entered the country prior to the 20th century, it remained an unknown weed until 1956.…”
Section: Introductionmentioning
confidence: 99%
“…We chose three general circulation models (GCMs) of physical climate processes for which the predicted values of each of the bioclimatic variables were available: the Beijing Climate Center Climate System Model (BCC_CSM1.1), the Community Climate System Model (CCSM4) and the Hadley Global Environment Model 2-Atmosphere Ocean (HADGEM2-AO). The selected GCMs were found to perform well in predicting the potential distribution of invasive species and projecting shifts in species distribution under future climate scenarios (Gillard et al, 2017;Ahmad et al, 2019).…”
Section: Collection Of Occurrence Data and Environmental Variablesmentioning
confidence: 99%