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Selection: with tag hutchinsonian-niche [6 articles] 


General introduction and methodological overview

In Ph.D. Thesis: Integrating infra-specific variation of Mediterranean conifers in species distribution models - Applications for vulnerability assessment and conservation (2017), pp. 19-54


[Excerpt: Forests ecosystems, climate change and conservation] [...] Despite their importance, we have lost approximately 1.3 % of the total forest area during the last decade, and although deforestation rates are decreasing, they are still high (data for the period 2000-2010 [...]). Nevertheless, fortunately, in some regions, such as Europe, we find an inverse trend with an increasing forest cover [...]. In Europe, 33 % of the total land area (215 million ha) are covered by forests from which more than ...


  1. Aitken, S.N., Yeaman, S., Holliday, J. a., Wang, T., Curtis-McLane, S., 2008. Adaptation, migration or extirpation: climate change outcomes for tree populations. Evolutionary Applications, 1, 95–111.
  2. Allen, C.D., Macalady, A.K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D.D., Hogg, E.H. (Ted), Gonzalez, P., Fensham, R., Zhang, Z., Castro, J., Demidova, N., Lim, J.H., Allard, G., Running, S.W., Semerci, A., Cobb, N., 2010. A global overview of drought and

Using n-dimensional hypervolumes for species distribution modelling: a response to Qiao et al.

Global Ecology and Biogeography, Vol. 26, No. 9. (September 2017), pp. 1071-1075,


Hypervolume approaches are used to quantify functional diversity and quantify environmental niches for species distribution modelling. Recently, Qiao et al. ([1]) criticized our geometrical kernel density estimation (KDE) method for measuring hypervolumes. They used a simulation analysis to argue that the method yields high error rates and makes biased estimates of fundamental niches. Here, we show that (a) KDE output depends in useful ways on dataset size and bias, (b) other species distribution modelling methods make equally stringent but different assumptions ...


Concluding remarks

Cold Spring Harbor Symposia on Quantitative Biology, Vol. 22 (01 January 1957), pp. 415-427,


This concluding survey of the problems considered in the Symposium naturally falls into three sections. In the first brief section certain of the areas in which there is considerable difference in outlook are discussed with a view to ascertaining the nature of the differences in the points of view of workers in different parts of the field; no aspect of the Symposium has been more important than the reduction of areas of dispute. In the second section a rather detailed analysis ...


Do hypervolumes have holes?

The American Naturalist, Vol. 187, No. 4. (15 February 2016), pp. E93-E105,


Hypervolumes are used widely to conceptualize niches and trait distributions for both species and communities. Some hypervolumes are expected to be convex, with boundaries defined by only upper and lower limits (e.g., fundamental niches), while others are expected to be maximal, with boundaries defined by the limits of available space (e.g., potential niches). However, observed hypervolumes (e.g., realized niches) could also have holes, defined as unoccupied hyperspace representing deviations from these expectations that may indicate unconsidered ecological or evolutionary processes. Detecting ...


A cautionary note on the use of hypervolume kernel density estimators in ecological niche modelling

Global Ecology and Biogeography (August 2016),


Blonder et al. (2014, Global Ecology and Biogeography, 23, 595–609) introduced a new multivariate kernel density estimation (KDE) method to infer Hutchinsonian hypervolumes in the modelling of ecological niches. The authors argued that their KDE method matches or outperforms several methods for estimating hypervolume geometries and for conducting species distribution modelling. Further clarification, however, is appropriate with respect to the assumptions and limitations of KDE as a method for species distribution modelling. Using virtual species and controlled environmental scenarios, we show ...


Habitat, environment and niche: what are we modelling?

Oikos, Vol. 115, No. 1. (October 2006), pp. 186-191,


The terms 'habitat', 'environment' and 'niche' are used inconsistently, and with some confusion, within the ecological literature on species distribution and abundance modelling. Here I suggest interrelated working definitions of these terms whereby the concept of habitat remains associated with descriptive/correlative analyses of the environments of organisms, while the niche concept is reserved for mechanistic analyses. To model the niche mechanistically, it is necessary to understand the way an organism's morphology, physiology, and especially behaviour, determine the kinds of environment it ...

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