Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models

By B. L. Webber, C. Yates, D. L. Le Maître, J. Scott, Darren J. Kriticos, Noboru Ota, Asha McNeill, J. L. Le Roux, Guy F. Midgley. 2011

231 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/2c4ac0fd02c6fd4e82bb7a6b5dc194776921c464

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Human‐mediated introductions of Australian acacias – a global experiment in biogeography (2011, background): “…native-range distributions of all taxa are well known, and point-locality data are available from the Australia’s Virtual Herbarium, facilitating detailed biogeographical and macroecological analyses (Hui et al., 2011) and species distribution modelling (Thompson et al., 2011; Webber et al., 2011).”
A physiological analogy of the niche for projecting the potential distribution of plants (2012, background): “…factors which vary in space and time (Hackett & Vanclay, 1998); and CLIMEX, which aggregates multi-dimensional stress indices into a measure of climatic suitability (Sutherst & Maywald, 1985; Sutherst et al., 2007; Webber et al., 2011; see also Dormann et al., 2012; Hartig et al., 2012).”
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, background): “In considering feature selection, it is useful to think about species responses to environmental gradients (cf. background on response curves is particularly critical when extrapolating to novel environmental scenarios (Elith et al. 2010, Webber et al. 2011).”
Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (2014, methodology): “…invasion has been characterized by high propagule pressure during introductions, has had considerable time to spread and is extremely well characterized (i.e. extensive collection of records with minimal sampling bias) across the entire known range (Richardson et al., 2011; Webber et al., 2011).”
Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates (2011, background): “…the median and (in brackets) the lower and upper quartiles of the proportions of the total sum of squares attributed to each factor over the study area, and are shown for both mid-and late-century response curves are high or increasing where truncated (Anderson & Raza, 2010; Webber et al. , 2011).”
Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment (2014, background): “The correlative models generally do not perform well when extrapolated to novel environments (Webber et al. 2011, Owens et al. 2013).”