Intercontinental long‐distance seed dispersal across the Mediterranean Basin explains population genetic structure of a bird‐dispersed shrub

Martínez-López, Vicente; García, Cristina; Zapata, Víctor Manuel Borrero; Robledano, Francisco; Rúa, Pilar De la

doi:10.1111/mec.15413

Cited by 17 publications

(10 citation statements)

References 92 publications

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“…1.5 km 2 ) on Stephens Island, New Zealand 31 . Long-distance dispersal of seeds can promote gene flow and reduce the genetic distance between populations on a broad scale 32 . Thus, spatial scale and species characteristics, such as dioecy, a long lifespan, and long-distance dispersal ability, should be considered when studying the effects of habitat fragmentation on genetic diversity.…”

Section: Introductionmentioning

confidence: 99%

Scale-dependent effects of habitat fragmentation on the genetic diversity of Actinidia chinensis populations in China

Wang

et al. 2020

Hortic Res

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Spatial scale partly explains the differentiated effects of habitat fragmentation on plant biodiversity, but the mechanisms remain unclear. To investigate the effects of habitat fragmentation on genetic diversity at different scales, we sampled Actinidia chinensis Planch. at broad and fine scales, China. The broad-scale sampling included five mountain populations and one oceanic island population (Zhoushan Archipelago), and the fine-scale sampling covered 11 lake islands and three neighboring land populations in Thousand-Island Lake (TIL). These populations were genotyped at 30 microsatellite loci, and genetic diversity, gene flow, and genetic differentiation were evaluated. Genetic differentiation was positively related to geographical distance at the broad scale, indicating an isolation-by-distance effect of habitat fragmentation on genetic diversity. The oceanic population differed from the mainland populations and experienced recent bottleneck events, but it showed high gene flow with low genetic differentiation from a mountain population connected by the Yangtze River. At the fine scale, no negative genetic effects of habitat fragmentation were found because seed dispersal with water facilitates gene flow between islands. The population size of A. chinensis was positively correlated with the area of TIL islands, supporting island biogeography theory, but no correlation was found between genetic diversity and island area. Our results highlight the scale-dependent effects of habitat fragmentation on genetic diversity and the importance of connectivity between island-like isolated habitats at both the broad and fine scales.

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Section: Introductionmentioning

confidence: 99%

Scale-dependent effects of habitat fragmentation on the genetic diversity of Actinidia chinensis populations in China

Wang

et al. 2020

Hortic Res

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“…Betweenness centrality has been applied in previous studies to identify the populations that have a huge impact on gene ow 43 . In this study, we found regions that largely affected the overall structure of competition networks indicated by high values of betweenness centrality (Fig.…”

Section: Discussionmentioning

confidence: 99%

Rethinking the Complexity and Uncertainty of Spatial Networks Applied to Forest Ecology

Chen

2022

Preprint

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Characterizing tree spatial patterns and interactions are helpful to reveal underlying processes assembling forest communities. Spatial networks, despite its complexity, are powerful to examine spatial interactions at an individual level using well defined patterns. However, complex tree networks introduce uncertainties. Validation methods are needed in order to assess whether network-based metrics can clearly identify different processes. Here, we constructed three types of tree networks, which reflect various aspects of tree competition. Based on five types of spatial null models and 199 Monte-Carlo simulations, we were able to select network-based metrics that exhibited well performances on distinguishing different processes. This technique was then applied to forest dataset Tuscany of Italy. We found that the average node degree and the cluster coefficient are ideal metrics like the Ripley’s K and paired correlation function. In addition, network approach can identify fine-scale spatial variations of tree competition and its underlying causes. Our analyzes also indicate that a bit of caution is needed when defining the network structure as well as designing network-based metrics. We suggested that validation techniques using corresponding spatial null models are critically important to reduce the negative effects caused by uncertainties of the network.

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“…Based on spline interpolation, attempts can be made to infer the regions with high competition values. Betweenness centrality has been applied in previous studies to identify the populations that have a huge impact on gene flow 45 . In this study, we found regions that largely affected the overall structure of competition networks indicated by high values of betweenness centrality (Fig.…”

Section: Discussionmentioning

confidence: 99%

Rethinking the complexity and uncertainty of spatial networks applied to forest ecology

Chen

2022

Sci Rep

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Characterizing tree spatial patterns and interactions are helpful to reveal underlying processes assembling forest communities. Spatial networks, despite their complexity, are powerful to examine spatial interactions at an individual level using well-defined patterns. However, complex forestation networks introduce uncertainties. Validation methods are needed to assess whether network-based metrics can identify different processes. Here, we constructed three types of networks, which reflect various aspects of tree competition. Based on five spatial null models and 199 Monte-Carlo simulations, we were able to select network-based metrics that exhibited well performance in distinguishing different processes. This technique was then applied to a tropical forest dataset in Costa Rica. We found that the average node degree and the clustering coefficient are good metrics like the paired correlation function. In addition, the network approach can identify fine-scale spatial variations of tree competition and its underlying causes. Our analyzes also indicate that a bit of caution is needed when defining the network structure as well as designing network-based metrics. We suggested that validation techniques using corresponding spatial null models are critically important to reduce the negative effects caused by uncertainties of the network.

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Intercontinental long‐distance seed dispersal across the Mediterranean Basin explains population genetic structure of a bird‐dispersed shrub

Cited by 17 publications

References 92 publications

Scale-dependent effects of habitat fragmentation on the genetic diversity of Actinidia chinensis populations in China

Scale-dependent effects of habitat fragmentation on the genetic diversity of Actinidia chinensis populations in China

Rethinking the Complexity and Uncertainty of Spatial Networks Applied to Forest Ecology

Rethinking the complexity and uncertainty of spatial networks applied to forest ecology

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