Arid
DOI10.1007/978-3-319-62407-5_42
A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures
Epifani, Rosa1; Amato, Federico1; Murgante, Beniamino1; Nole, Gabriele2
通讯作者Amato, Federico
会议名称17th International Conference on Computational Science and its Applications (ICCSA)
会议日期JUL 03-06, 2017
会议地点Trieste, ITALY
英文摘要

The 2030 Agenda by United Nations highlights the necessity of undertake concrete actions to "protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss". However, human activities on land use are strongly threatening habitat quality, causing their fragmentation and a dramatic loss of biodiversity all over the world. This paper proposes an application of the InVEST Habitat Quality model as a tool to support the definition of sustainable development policies able to favour the preservation of habitat structures while promoting their exploitation as cultural and landscape assets. The model is applied to the Basilicata Region (Southern Italy). Results show how modelling the impacts of human activities on biodiversity and ecosystem services can strongly help planning activities in distinguish those areas that should undergo to a conservation regime to preserve habitat integrity from those which are most prone to transformations, taking advantage by the social and economic benefit deriving from the human activities connected to their use.


英文关键词Biodiversity Habitat quality Land-use planning Sustainable development Spatial plannings
来源出版物COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT VI
ISSN0302-9743
EISSN1611-3349
出版年2017
卷号10409
页码585-600
EISBN978-3-319-62407-5
出版者SPRINGER INTERNATIONAL PUBLISHING AG
类型Proceedings Paper
语种英语
国家Italy
收录类别CPCI-S
WOS记录号WOS:000451372400042
WOS关键词EU COHESION POLICY ; STRUCTURAL FUNDS ; BIODIVERSITY ; SPRAWL ; CARBON ; AREAS
WOS类目Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS研究方向Computer Science
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/306098
作者单位1.Univ Basilicata, Sch Engn, Viale Ateneo Lucano 10, I-85100 Potenza, Italy;
2.Italian Natl Res Council, IMAA, Cda Santa Loja, I-85050 Potenza, Italy
推荐引用方式
GB/T 7714
Epifani, Rosa,Amato, Federico,Murgante, Beniamino,et al. A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures[C]:SPRINGER INTERNATIONAL PUBLISHING AG,2017:585-600.
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