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Open AccessJournal ArticleDOI

Bioclimate of Italy: application of the worldwide bioclimatic classification system

TLDR
In this paper, the WBCS of Rivas-Martinez was applied to the Italian territory and surrounding areas between latitudes 35°47′-46°60′ N and longitudes 5°92′-21°39′ E.
Abstract
The worldwide bioclimatic classification system (WBCS) of Rivas-Martinez was applied to the Italian territory and surrounding areas between latitudes 35°47′–46°60′ N and longitudes 5°92′–21°39′ E. The ‘WorldClim’ precipitation and temperature dataset was used as the source data. Application of the WBCS in a geographic information system allowed the production of macrobioclimates, bioclimates, ombrotypes, continentality, compensated thermicity index and ombro-evaporal index maps at a scale of 1:5,500,000, and a map of thermotypes at a scale of 1:2,250,000. Moreover, the isobioclimates of Italy are identified and quantified in terms of areas. These maps are available here as raster datasets (1 km spatial resolution) and are useful for: (i) rapid bioclimatic diagnosis of the Italian territories; and (ii) vegetation–environment relationship modeling at the national scale.

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Role of historic gardens in biodiversity-conservation strategy: the example of the Giardino Inglese of Reggia di Caserta (UNESCO) (Italy)

TL;DR: The Giardino Inglese of the Reggia di Caserta is among the most important and ancient gardens in Italy as mentioned in this paper, and a survey of vegetation was carried out, and a collection catalogue was produced using updated...
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Land cover and weather jointly predict biometric indicators of phenotypic quality in a large herbivore

TL;DR: How land cover and weather jointly affect indicators of phenotypic quality in a large mammal is emphasised, helping to predict size responses of herbivores under the ongoing climatic- and anthropogenic land use-changes.
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Syntaxonomy, diversity and distribution of the vegetation of rock crevices, clefts and ledges in the colline and montane belts of Central Pamir-Alai and Western Tian Shan Mts (Middle Asia)

TL;DR: In this article, the authors proposed that rocks are one of the most unique habitats and serve as a suitable biotope for many endemic and specialized plant species, and that mountain areas are very often considered to be biodiversity hotspots.
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An analysis of the bryophyte flora in Sicilian archaeological areas

TL;DR: Campisi et al. as discussed by the authors performed an analysis of the bryophyte diversity in the studied Sicilian archaeological areas, highlighting which species are more common and potentially harmful on the ruins.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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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.
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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.
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Very high resolution interpolated climate surfaces for global land areas.

TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
Journal ArticleDOI

Predictive habitat distribution models in ecology

TL;DR: A review of predictive habitat distribution modeling is presented, which shows that a wide array of models has been developed to cover aspects as diverse as biogeography, conservation biology, climate change research, and habitat or species management.
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