Comparing invasiveness of native and non-native species under changing climate in North-East India: ecological niche modelling with plant types differing in biogeographic origin.
Bioclimate
Hevea
Invasion
Maxent
North-East India
Species distribution modelling
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
27 Jan 2020
27 Jan 2020
Historique:
received:
26
02
2019
accepted:
24
07
2019
entrez:
29
1
2020
pubmed:
29
1
2020
medline:
18
3
2020
Statut:
epublish
Résumé
We assess the invasive potential of Ageratum conyzoides, Hevea brasiliensis, Urena lobata and Imperata cylindrica differing in habit and biogeographic origin through ecological niche modelling in the context of the 2000 and 2050 climates of North-East (NE) India. Out of these four species, Ageratum conyzoides, Urena lobata and Imperata cylindrica are naturally occurring weed species and Hevea brasiliensis is a cultivated tree species. This study tries to address a basic question whether species with similarity in biogeographic origin may have some uniform strategy to succeed in invasion process. Ecological niche models predicted that Ageratum conyzoides (a shrub) and Hevea brasiliensis (a tree) of South American origin have greater potential to invade/distribute in NE region of India by 2050 than two other species, Urena lobata and Imperata cylindrica, of South-Asian origin. The latter two species show lower potential to invade in NE India in 2050 compared with their extent of distribution in 2000. A set of major contributing bioclimatic factors responsible for distribution of two South-Asian species (Urena and Imperata sp.) remain more or less constant between 2000 and 2050 climates. However, the distribution of Ageratum sp. and Hevea sp. with respect to two climate scenarios is attributed by two different sets of major bioclimatic factors. This indicates the robustness of the species to get adapted to different set of climatic variables over time.
Identifiants
pubmed: 31989265
doi: 10.1007/s10661-019-7685-8
pii: 10.1007/s10661-019-7685-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
793Références
PLoS One. 2015 Apr 23;10(4):e0125300
pubmed: 25906187
PLoS One. 2013;8(1):e51885
pubmed: 23300954
PLoS One. 2015 Jul 01;10(7):e0132326
pubmed: 26132163
Evol Appl. 2010 Mar;3(2):169-78
pubmed: 25567917
Ying Yong Sheng Tai Xue Bao. 2015 Jul;26(7):2083-90
pubmed: 26710636
Philos Trans R Soc Lond B Biol Sci. 2010 Nov 12;365(1557):3469-83
pubmed: 20921046
Ecol Lett. 2006 Mar;9(3):357-74
pubmed: 16958902
Ecology. 2009 Mar;90(3):588-97
pubmed: 19341131
Am J Epidemiol. 2015 Mar 15;181(6):372-3
pubmed: 25743323
Philos Trans R Soc Lond B Biol Sci. 2010 Jul 12;365(1549):2019-24
pubmed: 20513710
Philos Trans R Soc Lond B Biol Sci. 2011 Aug 27;366(1576):2336-50
pubmed: 21768150
PLoS One. 2012;7(2):e32202
pubmed: 22359670