2023
DOI: 10.1111/jbi.14617
|View full text |Cite
|
Sign up to set email alerts
|

Species distribution modelling supports the study of past, present and future biogeographies

Abstract: Species distribution modelling (SDM), also called environmental or ecological niche modelling, has developed over the last 30 years as a widely used tool used in core areas of biogeography including historical biogeography, studies of diversity patterns, studies of species ranges, ecoregional classification, conservation assessment and projecting future global change impacts. In the 50th anniversary year of Journal of Biogeography, I reflect on developments in species distribution modelling, illustrate how emb… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
27
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 45 publications
(27 citation statements)
references
References 129 publications
0
27
0
Order By: Relevance
“…1) (Franklin 2010, Peterson et al 2011, Guisan et al 2017). Substantial literature exists regarding relationships between species ecological niches and geographic distributions, as well as correlative and mechanistic approaches to estimating them (Soberón 2007, Enriquez‐Urzelai et al 2019, Kearney and Porter 2020, Franklin 2023). Studies using these techniques generally aim to estimate environmental suitability for a species, mapping it onto geography to characterize spatial patterns (Fig.…”
Section: Modeling Species Distributionsmentioning
confidence: 99%
See 3 more Smart Citations
“…1) (Franklin 2010, Peterson et al 2011, Guisan et al 2017). Substantial literature exists regarding relationships between species ecological niches and geographic distributions, as well as correlative and mechanistic approaches to estimating them (Soberón 2007, Enriquez‐Urzelai et al 2019, Kearney and Porter 2020, Franklin 2023). Studies using these techniques generally aim to estimate environmental suitability for a species, mapping it onto geography to characterize spatial patterns (Fig.…”
Section: Modeling Species Distributionsmentioning
confidence: 99%
“…To varying degrees, these issues have been addressed elsewhere, although often independently (Araújo and Peterson 2012, Jiménez‐Valverde et al 2013, Cooper and Soberón 2018, Yates et al 2018, Cobos et al 2019a, Qiao et al 2019, Warren et al 2020). Fortunately, some synthetic books (Franklin 2010, Peterson et al 2011, Guisan et al 2017), shorter reviews (Elith et al 2011, Anderson 2012, Merow et al 2014, Jarnevich et al 2015, Beery et al 2021, Sillero et al 2021, Franklin 2023), and proposed standards for modeling and reporting exist (Araújo et al 2019, Feng et al 2019a, Sofaer et al 2019, Zurell et al 2020b, Fitzpatrick et al 2021). Nevertheless, the book‐level syntheses are long and include mathematical and statistical formalizations, making it difficult for some readers to understand key information and deterring others from attempting.…”
Section: Modeling Species Distributionsmentioning
confidence: 99%
See 2 more Smart Citations
“…However, there is no exact method to quantify or assess the impact of human activities on orchid distribution in current research. This shortcoming may result in biases between the predicted potential habitat generated by the lack of anthropogenic dispersal constraints in predicting species distributions and the potential geographic distributions (Franklin, 2023). In orchid distribution pattern studies in Central America, model results show that most orchid hotspots occur in the most densely populated provinces (Crain & Fernandez, 2020).…”
Section: Introductionmentioning
confidence: 99%