Literature DB >> 25154093

Landscape genetic connectivity in a riparian foundation tree is jointly driven by climatic gradients and river networks.

Samuel A Cushman, Tamara Max, Nashelly Meneses, Luke M Evans, Sharon Ferrier, Barbara Honchak, Thomas G Whitham, Gerard J Allan.   

Abstract

Fremont cottonwood (Populus fremonti) is a foundation riparian tree species that drives community structure and ecosystem processes in southwestern U.S. ecosystems. Despite its ecological importance, little is known about the ecological and environmental processes that shape its genetic diversity, structure, and landscape connectivity. Here, we combined molecular analyses of 82 populations including 1312 individual trees dispersed over the species' geographical distribution. We reduced the data set to 40 populations and 743 individuals to eliminate admixture with a sibling species, and used multivariate restricted optimization and reciprocal causal modeling to evaluate the effects of river network connectivity and climatic gradients on gene flow. Our results confirmed the following: First, gene flow of Fremont cottonwood is jointly controlled by the connectivity of the river network and gradients of seasonal precipitation. Second, gene flow is facilitated by mid-sized to large rivers, and is resisted by small streams and terrestrial uplands, with resistance to gene flow decreasing with river size. Third, genetic differentiation increases with cumulative differences in winter and spring precipitation. Our results suggest that ongoing fragmentation of riparian habitats will lead to a loss of landscape-level genetic connectivity, leading to increased inbreeding and the concomitant loss of genetic diversity in a foundation species. These genetic effects will cascade to a much larger community of organisms, some of which are threatened and endangered.

Mesh:

Year:  2014        PMID: 25154093     DOI: 10.1890/13-1612.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  8 in total

1.  Geographical barriers and climate influence demographic history in narrowleaf cottonwoods.

Authors:  L M Evans; G J Allan; S P DiFazio; G T Slavov; J A Wilder; K D Floate; S B Rood; T G Whitham
Journal:  Heredity (Edinb)       Date:  2015-01-14       Impact factor: 3.821

2.  Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.

Authors:  Aritz Ruiz-González; Mikel Gurrutxaga; Samuel A Cushman; María José Madeira; Ettore Randi; Benjamin J Gómez-Moliner
Journal:  PLoS One       Date:  2014-10-16       Impact factor: 3.240

3.  Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations.

Authors:  Chrysoula Gubili; Stefano Mariani; Byron V Weckworth; Paul Galpern; Allan D McDevitt; Mark Hebblewhite; Barry Nickel; Marco Musiani
Journal:  Evol Appl       Date:  2016-12-20       Impact factor: 5.183

4.  Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana.

Authors:  Antonio R Castilla; Belén Méndez-Vigo; Arnald Marcer; Joaquín Martínez-Minaya; David Conesa; F Xavier Picó; Carlos Alonso-Blanco
Journal:  BMC Evol Biol       Date:  2020-06-22       Impact factor: 3.260

5.  A spatial stream-network approach assists in managing the remnant genetic diversity of riparian forests.

Authors:  Patricia María Rodríguez-González; Cristina García; António Albuquerque; Tiago Monteiro-Henriques; Carla Faria; Joana B Guimarães; Diogo Mendonça; Fernanda Simões; Maria Teresa Ferreira; Ana Mendes; José Matos; Maria Helena Almeida
Journal:  Sci Rep       Date:  2019-05-01       Impact factor: 4.379

6.  Genetic analysis suggests extensive gene flow within and between catchments in a common and ecologically significant dryland river shrub species; Duma florulenta (Polygonaceae).

Authors:  Bruce Murray; Michael Reid; Samantha Capon; Shu-Biao Wu
Journal:  Ecol Evol       Date:  2019-06-17       Impact factor: 2.912

7.  Aggregate population-level models informed by genetics predict more suitable habitat than traditional species-level model across the range of a widespread riparian tree.

Authors:  Shannon L J Bayliss; Monica Papeş; Jennifer A Schweitzer; Joseph K Bailey
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

8.  Walking in a heterogeneous landscape: Dispersal, gene flow and conservation implications for the giant panda in the Qinling Mountains.

Authors:  Tianxiao Ma; Yibo Hu; Isa-Rita M Russo; Yonggang Nie; Tianyou Yang; Lijuan Xiong; Shuai Ma; Tao Meng; Han Han; Ximing Zhang; Michael W Bruford; Fuwen Wei
Journal:  Evol Appl       Date:  2018-08-31       Impact factor: 5.183

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.