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Open AccessJournal ArticleDOI

GLOBIO3: A Framework to Investigate Options for Reducing Global Terrestrial Biodiversity Loss

TLDR
The GLOBIO3 model has been developed to assess human-induced changes in biodiversity, in the past, present, and future at regional and global scales as mentioned in this paper, which is built on simple cause-effect relationships between environmental drivers and biodiversity impacts, based on state-of-the-art knowledge.
Abstract
The GLOBIO3 model has been developed to assess human-induced changes in biodiversity, in the past, present, and future at regional and global scales The model is built on simple cause-effect relationships between environmental drivers and biodiversity impacts, based on state-of-the-art knowledge The mean abundance of original species relative to their abundance in undisturbed ecosystems (MSA) is used as the indicator for biodiversity Changes in drivers are derived from the IMAGE 24 model Drivers considered are land-cover change, land-use intensity, fragmentation, climate change, atmospheric nitrogen deposition, and infrastructure development GLOBIO3 addresses (i) the impacts of environmental drivers on MSA and their relative importance; (ii) expected trends under various future scenarios; and (iii) the likely effects of various policy response options GLOBIO3 has been used successfully in several integrated regional and global assessments Three different global-scale policy options have been evaluated on their potential to reduce MSA loss These options are: climate-change mitigation through expanded use of bio-energy, an increase in plantation forestry, and an increase in protected areas We conclude that MSA loss is likely to continue during the coming decades Plantation forestry may help to reduce the rate of loss, whereas climate-change mitigation through the extensive use of bioenergy crops will, in fact, increase this rate of loss The protection of 20% of all large ecosystems leads to a small reduction in the rate of loss, provided that protection is effective and that currently degraded protected areas are restored

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Citations
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Modern Applied Statistics With S

TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
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Climate Change 2007: The Physical Science Basis.

TL;DR: In this article, the authors present a document, redatto, voted and pubblicato by the Ipcc -Comitato intergovernativo sui cambiamenti climatici - illustra la sintesi delle ricerche svolte su questo tema rilevante.
Journal ArticleDOI

Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making

TL;DR: In this article, the authors provide an overview of the challenges involved in applying ecosystem service assessment and valuation to environmental management and discuss some solutions to come to a comprehensive and practical framework.
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

Biodiversity hotspots for conservation priorities

TL;DR: A ‘silver bullet’ strategy on the part of conservation planners, focusing on ‘biodiversity hotspots’ where exceptional concentrations of endemic species are undergoing exceptional loss of habitat, is proposed.
BookDOI

Modern Applied Statistics with S

TL;DR: A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods.
Book

Mixed-Effects Models in S and S-PLUS

TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
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