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

Rodríguez-González, Patricia María, García, Cristina, Albuquerque, António, Monteiro-Henriques, Tiago, Faria, Carla, Guimarães, Joana B, Mendoça, Diogo, Simões, Fernanda, Ferreira, Maria Teresa, Mendes, Ana
et al (show 2 more authors) (2019) A spatial stream-network approach assists in managing the remnant genetic diversity of riparian forests. Scientific Reports, 9.

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Quantifying the genetic diversity of riparian trees is essential to understand their chances to survive hydroclimatic alterations and to maintain their role as foundation species modulating fluvial ecosystem processes. However, the application of suitable models that account for the specific dendritic structure of hydrographic networks is still incipient in the literature. We investigate the roles of ecological and spatial factors in driving the genetic diversity of Salix salviifolia, an Iberian endemic riparian tree, across the species latitudinal range. We applied spatial stream-network models that aptly integrate dendritic features (topology, directionality) to quantify the impacts of multiple scale factors in determining genetic diversity. Based on the drift hypothesis, we expect that genetic diversity accumulates downstream in riparian ecosystems, but life history traits (e.g. dispersal patterns) and abiotic or anthropogenic factors (e.g. drought events or water flow regulation) might alter expected patterns. Hydrological factors explained the downstream accumulation of genetic diversity at the intermediate scale that was likely mediated by hydrochory. The models also suggested upstream gene flow within basins that likely occurred through anemophilous and entomophilous pollen and seed dispersal. Higher thermicity and summer drought were related to higher population inbreeding and individual homozygosity, respectively, suggesting that increased aridity might disrupt the connectivity and mating patterns among and within riparian populations.

Item Type: Article
Uncontrolled Keywords: Conservation biology, Ecological modelling, Population genetics, Riparian ecology
Depositing User: Symplectic Admin
Date Deposited: 02 May 2019 13:56
Last Modified: 25 Nov 2021 04:10
DOI: 10.1038/s41598-019-43132-7
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3039342