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Journal ArticleDOI

Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050

Michel Bakkenes, +4 more
- 01 Apr 2002 - 
- Vol. 8, Iss: 4, pp 390-407
TLDR
In reviewing possible future trends, it was found that plant species, in general, would find their current climate envelopes further northeast by 2050, shifting ranges that were comparable with those ranges in other studies.
Abstract
The rapidly increasing atmospheric concentrations of greenhouse gases may lead to significant changes in regional and seasonal climate patterns. Such changes can strongly influence the diversity and distribution of species and, therefore, affect ecosystems and biodiversity. To assess these changes we developed a model, called euromove. The model uses climate data from 1990 to 2050 as compiled from the image 2 model, and determines climate envelopes for about 1400 plant species by multiple logistic regression analysis. The climate envelopes were applied to the projected climate to obtain predictions about plant diversity and distributions by 2050. For each European grid cell, euromove calculates which species would still occur in forecasted future climate conditions and which not. The results show major changes in biodiversity by 2050. On average, 32␘f the European plant species that were present in a cell in 1990 would disappear from that cell. The area, in which 32␘r more of the 1990 species will disappear, takes up 44␘f the modelled European area. Individual responses of the plant species to the forecasted climate change were diverse. In reviewing possible future trends, we found that plant species, in general, would find their current climate envelopes further northeast by 2050, shifting ranges that were comparable with those ranges in other studies.

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Citations
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Journal ArticleDOI

Predicting species distribution: offering more than simple habitat models.

TL;DR: An overview of recent advances in species distribution models, and new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales are suggested.
Journal ArticleDOI

Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?

TL;DR: In this paper, a hierarchical modeling framework is proposed through which some of these limitations can be addressed within a broader, scale-dependent framework, and it is proposed that, although the complexity of the natural system presents fundamental limits to predictive modelling, the bioclimate envelope approach can provide a useful first approximation as to the potentially dramatic impact of climate change on biodiversity.
Journal ArticleDOI

Impacts of climate change on the future of biodiversity.

TL;DR: Overall, this review shows that current estimates of future biodiversity are very variable, depending on the method, taxonomic group, biodiversity loss metrics, spatial scales and time periods considered.
References
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Journal ArticleDOI

The measurement of observer agreement for categorical data

TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
Journal ArticleDOI

A Coefficient of agreement for nominal Scales

TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
Journal ArticleDOI

Applied Logistic Regression.

TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
Journal ArticleDOI

Generalized Linear Models

Eric R. Ziegel
- 01 Aug 2002 - 
TL;DR: This is the Ž rst book on generalized linear models written by authors not mostly associated with the biological sciences, and it is thoroughly enjoyable to read.
Journal ArticleDOI

On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters

TL;DR: In this article, the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea.
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