2017
DOI: 10.1111/jbi.13115
|View full text |Cite
|
Sign up to set email alerts
|

Marine species distribution modelling and the effects of genetic isolation under climate change

Abstract: Aim: Coral reefs are experiencing both an increasing frequency and intensity of anomalously warm ocean temperatures because of climate change. Studies show that the majority of coral populations will likely decline as temperatures continue to increase, although some previous species-distribution models predict that ubiquitous species, such as the primary reef-building coral species Porites lobata, will increase their distribution under projected climate change. These predictive models, however, assume that all… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 32 publications
(23 citation statements)
references
References 52 publications
0
22
1
Order By: Relevance
“…These aspects are rarely considered holistically and for most species, an understanding of their interplay is not available. In distribution modelling of species, however, the importance of factors such as local adaptation and plasticity can be clearly observed as their inclusion results in dramatic shifts in predicted ranges [27][28][29][30][31]. In this theme issue, Donelson et al [32] discuss how, for marine species, ecological and evolutionary processes (migration, plasticity, selection) in response to ocean warming are likely to play out differently depending on the location within a species' range.…”
Section: The Space-time Continuum: Plasticity Across Multiple Dimensionsmentioning
confidence: 99%
“…These aspects are rarely considered holistically and for most species, an understanding of their interplay is not available. In distribution modelling of species, however, the importance of factors such as local adaptation and plasticity can be clearly observed as their inclusion results in dramatic shifts in predicted ranges [27][28][29][30][31]. In this theme issue, Donelson et al [32] discuss how, for marine species, ecological and evolutionary processes (migration, plasticity, selection) in response to ocean warming are likely to play out differently depending on the location within a species' range.…”
Section: The Space-time Continuum: Plasticity Across Multiple Dimensionsmentioning
confidence: 99%
“…However, most models, especially SDMs, were cross-validated to a portion of the dataset (Figure 2d) Only three studies considered LA to aspects of the local environment other than climate (Hu et al, 2017;Schwalm et al, 2016;Wang et al, 2010), and none considered LA to biotic drivers such as interacting species. Only two studies included empirical estimates of dispersal rates (Cacciapaglia & van Woesik, 2018;Morin et al, 2008) and none considered gene flow among intraspecific lineages or locations. We discuss each of these considerations, and their potential impact on species' forecasts, in greater detail below.…”
Section: Summary Of Past Approachesmentioning
confidence: 99%
“…Although most distribution forecasts that incorporate LA assume either unlimited dispersal or compare unlimited and no dispersal scenarios, potential dispersal rates for intraspecific lineages will likely have fairly narrow bounds. To better characterize dispersal, some studies have used direct estimates of dispersal rates (Cacciapaglia & van Woesik, 2018;Morin et al, 2008), whereas others have assumed dispersal will be constrained by land use boundaries (D'Amen et al, 2013;Hamann & Aitken, 2013;Schwalm et al, 2016). More complex models could incorporate spatially varying dispersal rates due to habitat fragmentation or biotic filters, or even the potential for dispersal traits to evolve at shifting range margins (Phillips, Brown, Webb, & Shine, 2006;Williams, Kendall, & Levine, 2016).…”
Section: Estimation and Use Of Empirical Dispersal And Gene Flow Ratesmentioning
confidence: 99%
“…[20]). Some previous studies have also attempted to include aspects of local adaptation [21 -24], plasticity [25] and species interactions [26][27][28] into species distribution modelling; however, the majority of these studies are based on terrestrial ecosystems (see for exceptions [24,26,29]). One of the likely reasons for the limited investigation of plasticity, adaptation and range shifts in unison is owing to the disparate timescales over which they each occur.…”
Section: Introductionmentioning
confidence: 99%