title: Geoinformatic methodologies and quantitative tools for detecting hotspots and for multicriteria ranking and prioritization: application on biodiversity monitoring and conservation
title: Metodologie geoinformatiche e strumenti quantitativi per l'Individuazione di punti critici e per l'ordinamento multi-criterio e determinazione delle priorità: applicazione nel monitoraggio e conservazione della biodiversità
titleType: AlternativeTitle
Creators: name: PECCI, ANGELO
Publisher: name: Università degli Studi di Roma "Tor Vergata"
Year: 2010
Subjects: subject: habitat biodiversity; hotspot detection; multidimensional ranking; ecological attention; conservation policy; ecological fragility; early warning; geographic surveillance; ecological network design; human pressure
subject: habitat biodiversity
subject: hotspot detection
subject: multidimensional ranking
subject: ecological attention
subject: conservation policy
subject: ecological fragility
subject: early warning
subject: geographic surveillance
subject: ecological network design
subject: human pressure

description: 21. ciclo
description: 1 THE PROBLEM: STATE OF THE ART 1.1 Introduction and Objectives 1.2 The International and National background: The “Natura 2000” network, the Map of Italian Nature Project and their effects on the Environmental Planning. 1.3 Landscape Ecology as methodological and essential interpretative support for environmental evaluation processes 1.3.1 The Ecological Value and the Ecological Sensitivity of a natural habitat 1.3.2The Ecological Attention and the Ecological Fragility of a natural habitat 1.4 Relationships between demographic structure of the territory and environmental conservation policies 1.5 Methodological statistical tools: State of the Art 1.5.1 HotSpot Detection methodologies 1.5.2 Objects Ranking and Prioritization methods 1.5.2.1 Total Ranking Theory and Methods (Additive Aggregation methods) 1.5.2.2 Pros and cons (arguments for and against) of composite indicators 1.5.2.3 Partial Ranking Theory and Methods 1.5.3 Other useful statistical tools 1.5.3.1 Principal Component Analysis 1.5.3.2 Cluster Analysis 1.5.3.3 Multiple Discriminant Analysis 1.5.3.4 Fuzzy Partial Order 1.5.3.5 Partially Ordered Scalogram Analysis with Coordinates (POSAC) 1.6 Other available instruments 1.6.1 The Geographical Information Systems(GIS) 1.6.2 The Ecological Networks. - 2 STUDY AREAS AND MATERIALS 2.1 Study Area “A”: Baganza Valley (Parma) 2.2 Study Area “B”: Oltrepò Pavese and Ligurian-Emilian Apennine 2.3 The Ecological Indicators 2.3.1 Ecological Value indicators 2.3.2 Ecological Sensitivity indicators 2.4 Demographical indicators. - 3 METHODS 3.1 Ranking and Prioritization Methods utilized 3.1.1 Ideal Vector Distance 3.1.2 Hasse Diagram Theory (HDT): Basic concepts, Linear Extensions and Posets Linearization 3.1.3 Salience and Primacy 3.2 Upper Level Set Scan Statistic for HotSpot Detection 3.3 Systematic Conservation Planning. - 4 RESULTS AND DISCUSSION 4.1 Natural Habitat Level Analysis: Individuation of Habitat of Ecological Attention 4.1.1 Redundancy degree of the proposed ecological indicators 4.1.2 Habitat ranking: Ideal Vector Vs Salience 4.2 Planning and analysing a habitat Network with some optimal ecological characteristics 4.3 Administrative Level Analysis: Communes 4.3.1 Demographical analysis of Communes 4.3.2 Deriving possible guidelines for the Hotspots of Ecological Attention (HSEAs) management 4.3.3 Providing a ranked list of Communes with Highest Funding Preference for biodiversity conservation purposes 4.3.3.1 Method “A”: Hotspot Detection method 4.3.3.2 Method “B”: Partial Order Method using Hasse Diagram 4.3.3.3 Method “C”: Salience and Primacy method. - 5 GENERAL CONCLUSIONS - 6 REFERENCES