sdm: a reproducible and extensible R platform for species distribution modelling

By Babak Naimi, Miguel B. Araújo. 2016

1,023 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecological Modeling

View Paper: https://www.semanticscholar.org/paper/7f792559dfc0ad8bb4ef2d47ddc097deed6a3ec3

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In Ecological Modeling

Citations in the corpus

ecospat: an R package to support spatial analyses and modeling of species niches and distributions (2017, methodology): “biomod2 (Thuiller 2003), sdm (Naimi and Araújo 2016), dismo (Hijmans et al.”
Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates (2020, methodology): “For the SDMs, we applied an ensemble method using the sdm package [65] in R 3.”
A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD (2019, background): “This hinders our ability to understand approaches taken by mod‐ ellers (Golding et al., 2018; Naimi & Araújo, 2016).”
Hypervolume concepts in niche‐ and trait‐based ecology (2018, methodology): “There are at present no software packages available to permit statistical comparison of all these methods, especially most of the one-class methods, although some tools exist for a restricted set of methods (Thuiller et al. 2009, Naimi and Araújo 2016).”
Fusarium Wilt of Bananas: A Review of Agro-Environmental Factors in the Venezuelan Production System Affecting Its Development (2021, methodology): “The MaxEnt predictions were generated with the sdm package in R [90] using a fivefold cross-validation procedure.”
The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo‐absences or background sites (2019, methodology): “2009), dismo (Hijmans and Elith 2013) and sdm (Naimi and Araujo 2016) have facilitated the implementation and use of these techniques.”
A standard protocol for reporting species distribution models (2020, methodology): “…et al. 2012, Franklin et al. 2017, Wüest et al. 2020) and easy-to-use software packages (Phillips et al. 2006, Thuiller et al. 2009, Brown 2014, Naimi and Araújo 2016, Golding et al. 2018, Kass et al. 2018) accompanied by detailed guides, manuals and textbooks (Elith et al. 2008, Merow et al.…”
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, methodology): “The default implementations in the sdm package were used (Naimi and Araújo, 2016).”
Testing the ability of species distribution models to infer variable importance (2019, methodology): “…distribution and niche modeling software like Maxent (Phillips et al. 2006; Phillips & Dudík 2008) and the BIOMOD2 (Thuiller et al. 2009) and sdm (Naimi & Araújo 2016) packages for the R Statistical System (R Core Team 2018) allow users the option to estimate variable importance using AUC and/or…”