SPECIES DISTRIBUTION MODELS
; REPRODUCTIVE ISOLATION
; ODONATA COENAGRIONIDAE
; POSTZYGOTIC ISOLATION
; GENETIC-DIVERGENCE
; HYBRID ZONE
; RANGE
; PATTERNS
; INCOMPATIBILITIES
; SPECIATION
WOS学科分类:
Biodiversity Conservation
; Entomology
WOS研究方向:
Biodiversity & Conservation
; Entomology
英文摘要:
Climate change is a key stressor for species. Two major consequences of climate-induced range shifts are the formation of new areas of geographic overlap (i.e. sympatry) and an increased probability of hybridisation in the de novo created contact zones. One method to effectively quantify the potential of hybridisation is to integrate ecological niche modelling and the propensity to hybridisation based on genetic divergence. In this paper, we have applied this methodology to predict hybridisation outcomes following different scenarios of climate change in 30 species of Argia damselflies. We (i) investigated how climate change may affect species' distributions; (ii) quantified if changed distributions generate new areas of sympatry between species; (iii) calculated the propensity to hybridise based on genetic divergence between species; and (iv) integrated these data to predict the future potential of species to hybridise. We found that the distribution of 29 of the 30 species was affected by a change in climate which led to a general increase in sympatric overlap among species. The degree of genetic divergence among the 108 species' combinations ranged from 0.06% to 0.36%. Based on the sympatric overlap and genetic divergence, it can be predicted that 97 of the species pairs are likely to hybridise in the future. Our results are useful to forecast how highly diverse and closely related groups, such as Argia damselflies, may respond to a change in climate and how this can impact the potential of species mixing under a scenario of increased global warming.
1.Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Evolut, Apdo Postal 70-275,Ciudad Univ, Mexico City 04510, DF, Mexico 2.Inst Ecol AC, Xalapa 91070, Veracruz, Mexico 3.New Zealand Inst Plant & Food Res Ltd, Nelson, New Zealand 4.Univ Auckland, Sch Biol Sci, Auckland, New Zealand 5.CSIC, Real Jardin Bot, Madrid, Spain
Recommended Citation:
Nava-Bolanos, Angela,Sanchez-Guillen, Rosa A.,Wellenreuther, Maren,et al. Predicting hybridisation as a consequence of climate change in damselflies[J]. INSECT CONSERVATION AND DIVERSITY,2019-01-01,12(5):427-436