There has been an increasing need for methods to define priority areas for biodiversity conservation since the effectiveness of biodiversity conservation in protected areas planning depends on available resources (human resources and funds) for the conservation. The identification of priority areas requires the integration of biodiversity data together with social data on human pressures and responses. However, the deficit of comprehensive data and reliable methods are key challenges in zoning where the demand for conservation is most urgent and where the outcomes of conservation strategies can be maximized. In order to fill this gap, the environmental model Pressure–State–Response (PSR) was applied to suggest a set of criteria to identify priority areas for biodiversity conservation.
The empirical data have been compiled from 185 respondents, categorizing into three main groups: Governmental Administration, Research Institutions, and Protected Areas in Vietnam, by using a well-designed questionnaire. Then, the Analytic Hierarchy Process (AHP) theory was used to identify the weight of all criteria. These results show that three main factors could identify the priority level for biodiversity conservation: Pressure, State, and Response, with weights of 41%, 26%, and 33%, respectively. Based on the three factors, seven criteria and 17 sub-criteria were developed to determine priority areas for biodiversity conservation. In addition, this study also indicates that the groups of Governmental Administration and Protected Areas put a focus on the “Pressure” factor while the group of Research Institutions emphasized the importance of the “Response” factor in the evaluation process.
Then these suggested criteria were applied by integrating with Geographic Information System (GIS) and Remote Sensing (RS) to define priority areas for biodiversity conservation in a particular conservation area (Pu Luong-Cuc Phuong area) in Vietnam. The results also reveal the proportion of very high and high priority areas, accounting for 84.9%, 96%, and 65.9% for Cuc Phuong National Park, Pu Luong Nature Reserve, and Ngoc Son Ngo Luong Nature Reserve, respectively. Based on these results, recommendations were provided to apply the developed criteria for identifying priority areas for biodiversity conservation in Vietnam.:Acknowledgement I
Abstract III
Table of contents IV
List of figures VI
List of tables X
Acronyms and Abbreviations XII
Chapter 1. Introduction 1
1.1. Problem statement and motivation 1
1.2. Research objectives and questions 2
1.3. Study contribution 3
1.4. Thesis structure 6
Chapter 2. Literature review 8
2.1. Background information on Vietnam 8
2.2. Environmental Pressure-State-Response model 11
2.3. Defining criteria for biodiversity conservation 13
2.4. Application of GIS and RS for biodiversity conservation 16
Chapter 3. Research methodology 19
3.1. Study areas 19
3.2. Data collection 23
3.3. Analytic Hierarchy Process 25
3.4. Remote Sensing 27
3.5. Geography Information System 35
3.6. Climate change scenarios 40
Chapter 4. Establishment of criteria 42
4.1. Summary of responses 44
4.2. Statistic of pairwise comparison 46
4.3. Weights of criteria based on all respondents 48
4.4. Weights of criteria based on groups 60
Chapter 5. Application of Criteria 64
5.1. Mapping criteria 64
5.2. Synthesis of multiple criteria 144
Chapter 6. Conclusions and recommendations 158
6.1. Establishment of criteria 158
6.2. Application of criteria 161
6.3. Recommendations 165
References 167
Appendix I. Questionnaire 197
Appendix II. Establishment of criteria 207
Appendix III. Application of criteria 234
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:73780 |
Date | 11 February 2021 |
Creators | Vu, Xuan Dinh |
Contributors | Csaplovics, Elmar, Nguyen, Trung Thanh, Köhl, Michael, Technische Universität Dresden |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0015 seconds