bioclim: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies

By T. Booth, Henry Nix, J. Busby, Michael F. Hutchinson. 2014

938 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/40f21ccc54f1a1e3dc8e771e851ab1ee19d4fc7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Cristian Román‐Palacios
2. S. Burgiel
3. T. Booth
4. K. Guo
5. Sheng Du
6. John J. Wiens
7. Guanghua Xu
8. M. Barnes

In Ecology

1. David M. Lodge
2. John M. Drake
3. M. Barnes
4. Reuben P. Keller
5. C. Jerde
6. W. L. Chadderton
7. J. Bossenbroek
8. E. Larson

In Nature and Landscape Conservation

1. David M. Lodge
2. John M. Drake
3. M. Barnes
4. Cristian Román‐Palacios
5. Reuben P. Keller
6. C. Jerde
7. W. L. Chadderton
8. D. Finnoff

Citations in the corpus

• Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics (2018, methodology): “We first aimed at building a model based on predictors that were potentially biologically relevant and widely used in SDM studies (Booth et al., 2014; Bradie & Leung, 2017; Porfirio et al., 2014 and see Results).”
• Risk Analysis and Bioeconomics of Invasive Species to Inform Policy and Management (2016, background): “In contrast, the boundary estimation approach seeks to identify the decision boundary directly (121, 127).”
• Recent responses to climate change reveal the drivers of species extinction and survival (2020, background): “These variables are considered important drivers of species distributions (41).”
• Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model (2014, background): “Species distribution modeling (SDM) plays a leading role in biogeography and regional ecology in estimating the niche and distribution area of a species when distribution data are limited [12–15].”
• Assessing species climatic requirements beyond the realized niche: some lessons mainly from tree species distribution modelling (2017, methodology): “This approach was pioneered by Busby (1988) who used the BIOCLIM species distribution modelling (SDM) package (Nix 1986; Booth et al. 2014) to analyse likely climate change impacts in Australia on a tree species (Nothofagus cunninghamii, now known as Lophozonia cunninghamii (Hook.”