(Q51722799)

10 April 2018

title

Using niche-based models to improve the sampling of rare species. (English)

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10 April 2018

author

Nigel G. Yoccoz

5

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10 April 2018

Olivier Broennimann

Olivier Broennimann

2

0 references

Anthony Lehmann

Anthony Lehmann

6

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Niklaus E. Zimmermann

Niklaus E Zimmermann

7

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Antoine Guisan

Antoine Guisan

1

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Robin Engler

3

Robin Engler

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10 April 2018

Mathias Vust

4

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10 April 2018

publication date

1 April 2006

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10 April 2018

published in

Conservation Biology

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10 April 2018

volume

20

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10 April 2018

issue

2

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10 April 2018

page(s)

501-511

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10 April 2018

Predictive accuracy of population viability analysis in conservation biology

cites work

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https://api.crossref.org/works/10.1111%2FJ.1523-1739.2006.00354.X

Conservation biology. Predictive ecology to the rescue?

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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

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Mapping spatial pattern in biodiversity for regional conservation planning: where to from here?

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Generalized linear and generalized additive models in studies of species distributions: setting the scene

21 January 2018

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Which is the optimal sampling strategy for habitat suitability modelling

21 January 2018

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Value of the IUCN Red List

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Regression models for spatial prediction: their role for biodiversity and conservation

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GRASP: generalized regression analysis and spatial prediction

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Rare species, the coincidence of diversity hotspots and conservation strategies

21 January 2018

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Improving the Quality of Distribution Models for Conservation by Addressing Shortcomings in the Field Collection of Training Data

21 January 2018

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Evaluating presence-absence models in ecology: the need to account for prevalence

21 January 2018

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New paradigms for modelling species distributions?

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10.1111/J.1523-1739.2006.00354.X

21 January 2018

Identifiers

DOI

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10 April 2018

PubMed ID

16903111

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10 April 2018