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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/101754
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dc.contributor.advisor林裕彬zh_TW
dc.contributor.advisorYu-Pin Linen
dc.contributor.author卡友悌zh_TW
dc.contributor.authorPanagiotis Karanasiosen
dc.date.accessioned2026-03-04T16:18:18Z-
dc.date.available2026-03-05-
dc.date.copyright2026-03-04-
dc.date.issued2026-
dc.date.submitted2026-02-19-
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/101754-
dc.description.abstract由於土地利用變化日益增加及相關基礎設施的發展,棲息地的破碎化及生態連通性的喪失,已對全球生物多樣性的下降造成重大影響。維護和恢復生態連通性的重要性已在近期的保育政策中獲得認可,2022年《昆明-蒙特利爾全球生物多樣性框架》呼籲通過設定中期(2030年)和長期(2050年)目標,保護並恢復所有生態系統的生態連通性。然而,儘管保育政策承認維持生態連通性的重要性,空間規劃和開放空間配置在將連通性需求納入實際設計過程中仍面臨困難。連通性建模仍是評估連通性的主要工具,但其可信度通常受到缺乏可靠數據、假設的主觀性以及缺乏對動物移動及其生態特徵的實證觀察驗證的影響。這些模型有效性的限制進一步限制了模型結果對景觀規劃者、設計師及進行環境影響評估的實務工作者的適用性。
本研究的目的是透過推進規劃方法與設計策略,提升生態連通性在開放空間配置中的納入,以應對前述挑戰。研究重點並非放在提升模型的複雜度,而是強調基於跨數據集驗證分析結果,並結合物種特定的生態特徵與移動行為,進行生態學知識導向的詮釋。分析結果的驗證確保了結果在生物學上的可解釋性,對實務工作者具透明度,且能直接應用於空間規劃與景觀設計,從而提供更有效且具生態相關性的規劃與設計決策依據。
兩棲動物被選為本研究的目標物種,原因在於其受威脅的狀態、對棲息地改變的敏感性,以及其複雜的生命週期,使其成為適合用來指示棲息地多尺度連通性需求的指標物種。本論文過程中開發了三項方法學創新:(1)混合共識建模,用以識別可作為復育規劃目標的兩棲動物族群潛在位置;(2)結合隨機森林與邏輯迴歸的雙重方法,將規劃與設計變數與生態連通性相關聯;(3)結合溪流階層結構的最大熵物種分布模型,提供河岸移動結構的洞見,且無需假設主觀的阻力面或其他專家參數設定。模型結果以公民科學資料及物種特定的生態知識進行驗證,並產生與規劃設計相關的指導方針及未來研究的生態知識基礎。本研究的貢獻在於透過景觀規劃與設計連通性指導方針,改善開放空間的配置。這些指導方針基於有效利用現有有限資源與資料的創新方法,特別針對研究不足的物種。此外,本研究亦支持符合全球生物多樣性框架要求的空間保育規劃之實施。此項工作在快速發展且景觀高度受限且破碎的地區尤為重要,因為規劃與設計必須考量生態過程與生物多樣性需求,以保障永續發展。
zh_TW
dc.description.abstractFragmentation of habitat and loss of ecological connectivity due to increasing land-use changes and associated infrastructure development, have contributed significantly to global decline in biodiversity. The importance of maintaining and restoring ecological connectivity has been recognized in recent conservation policy and the Kunming-Montreal Global Biodiversity Framework (GBF), in 2022 called for protecting and restoring ecological connectivity throughout all ecosystems by setting medium- (2030) and long-term (2050) targets. However, despite the recognition of the importance of maintaining ecological connectivity in conservation policy, spatial planning and open space configurations continue to struggle in implementing connectivity needs into practical design processes. Connectivity modeling continues to be the primary tool used to evaluate connectivity; however, its credibility is generally impacted by lack of reliable data, subjectivity in assumptions, and lack of validation against empirical observations of animal’s movements and of their ecological traits. These limitations on model validity further limit the applicability of model results to landscape planners, designers, and practitioners conducting environmental impact assessments.
The purpose of this dissertation was to address the aforementioned challenges by advancing methods of planning and design strategies to increase the inclusion of ecological connectivity in open space configurations. Rather than focusing on increased modeling sophistication, emphasis was placed on ecologically informed interpretations based upon validation of analytical outputs against cross-datasets and species-specific ecological traits and movement behaviors. Validation of analytical outputs provides assurance that results are biologically interpretable, transparent to practitioners and directly applicable to spatial planning and landscape design thus providing an opportunity for more effective and ecologically relevant planning and design decision making.
Amphibians were chosen as the target species for this study due to their threatened status, sensitivity to habitat modification and their complex life cycle that makes them suitable indicator species of multi-scale connectivity requirements of their habitats. Three methodological advances were developed during the course of this dissertation: (1) Hybrid Consensus Modeling that identified potential locations of amphibian populations that could be targeted for restoration planning purposes, (2) A dual Random Forest and logistic regression approach to relate planning and design variables to ecological connectivity and (3) Maxent species distribution models that incorporated stream order hierarchy to provide insight into riparian movement structures without requiring the assumption of subjective resistance surfaces and other expert’s parameterizations. All modeling results were validated using citizen science data and species-specific ecological knowledge, and generated planning and design relevant guidelines as well as ecological knowledge base for future research. The contributions of this research lie in improving open space configuration through landscape planning and design connectivity guidelines. These guidelines were informed by methodologies that utilize efficiently the existing limited resources and data of understudied species. The work also supports implementation of GBF compliant spatial conservation planning. This is particularly critical in rapidly developing regions with highly constrained and fragmented landscapes where planning and design must consider ecological processes and biodiversity needs to safeguard sustainable development.
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dc.description.tableofcontentsAcknowledgements i
摘要 ii
Abstract iv
Table of Contents vi
List of Figures xi
List of Tables xii
List of Supplementary Figures xiii
List of Supplementary Tables xv
Chapter 1 Introduction 1
1.1 Background 1
1.2 Objectives 4
1.3 Chapter Description 5
Chapter 2 Literature review 8
2.1 The Impact of Habitat Loss and Fragmentation on Global Biodiversity and Sustainable Development 8
2.2 The Global Strategic Solution: The Kunming-Montreal Global Biodiversity Framework 11
2.3 Connectivity as a Foundation Concept for Biodiversity Conservation 13
2.3.1 Structural connectivity and functional connectivity 14
2.3.2 The scale dependency of connectivity 17
2.4 Structural and Functional Connectivity in Landscape Ecology and Planning 20
2.4.1 Initial focus: biodiversity hotspots and area-based conservation 22
2.4.2 Evolution to structural connectivity 23
2.4.3 Focus on functional connectivity and biological realism 25
2.5 Connectivity Conservation Plans (CCPs) in spatial planning 28
2.6 Connectivity Integration in Environmental Assessment Framework 31
2.6.1 The evolution of Environmental Assessment Frameworks (EIA/SEA) and the integration of connectivity 32
2.6.2 Scale mismatch and cumulative effects 34
2.6.3 CCPs as an integrated assessment framework 35
2.6.4 Integrated assessment framework examples 37
2.7 Major Challenges in Connectivity Oriented Spatial Planning 39
2.7.1 Data deficiency 39
2.7.2 Knowledge gap of connectivity in modified landscapes 41
2.7.3 Scale-dependent movement complexity 42
2.7.4 Model validation as the Achilles’ heel 44
2.7.5 Interpretation of assessment results into applicable measures 46
2.8 Roadkill as Movement Proxy for Connectivity Analysis 48
2.8.1 From reducing mortality to connectivity restoration 48
2.8.2 Roadkill hotspot identification for connectivity restoration 51
2.8.3 Mitigation focused on reducing mortality may fail on connectivity restoration 52
2.8.4 Roadkill reflects the species-specific spatial-temporal connectivity patterns to modified landscape 54
2.9 Amphibian as Target Species for Connectivity Analysis 56
2.9.1 The rationale of target species selection for CCPs 56
2.9.2 The threatened biological status of amphibians 57
2.9.3 Public attention and community support 59
2.9.4 Complex life cycles and movement patterns 61
2.10 Citizen Science Data and Connectivity Analysis 63
2.10.1 The role of citizen science in bridging data gaps 63
2.10.2 Application in connectivity and road ecology 64
2.10.3 Addressing data quality and bias 65
Chapter 3 Exploring hybrid consensus models to assess roadkill 66
3.1 Summary 66
3.2 Introduction 67
3.3 Materials and methods 70
3.3.1 Proposed hybrid consensus modeling (HCM) approach 70
3.3.2 Case study 70
3.4 Results 81
3.4.1 Sampling and data management 81
3.4.2 Evaluation of performance, allocation, and dispersion 82
3.4.3 Environmental characteristics of hotspot types 84
3.5 Discussion 90
3.6 Conclusions 98
Chapter 4 Precise roadkill environmental factors identification for sustainable planning and design through spatial and temporal modelling 100
4.1 Summary 100
4.2 Introduction 101
4.3 Materials and Methods 105
4.3.1 Study Area 105
4.3.2 Roadkill data 108
4.3.3 Pseudo-absence data 111
4.3.4 Environmental predictors 111
4.3.5 Predictor preselection 116
4.3.6 Modeling and predictor selection 117
4.4 Results 119
4.4.1 Consensus roadkill environmental predictors 119
4.4.2 Model performance evaluation 122
4.5 Discussion 123
4.5.1 Consensus roadkill environmental predictors 125
4.5.2 Predictors with Limited Consensus and Methodological Implications 128
4.5.3 Model performance 131
4.5.4 Implications for ecological planning and sustainable development 132
4.5.5 Limitations and opportunities 139
4.5.6 Methodological contributions and framework transferability 140
4.6 Conclusions 145
Chapter 5 Prioritizing stream network connectivity for species conservation and sustainable planning 147
5.1 Summary 147
5.2 Introduction 149
5.3 Materials and methods 154
5.3.1 Study area 154
5.3.2 Focal species 155
5.3.3 Environmental predictors 158
5.3.4 MaxEnt Modeling framework 161
5.4 Results 165
5.4.1 Key predictors 166
5.4.2 Occurrence and roadkill Suitability Patterns 168
5.4.3 Model Evaluation and validation 170
5.5 Discussion 171
5.5.1 Key predictors 172
5.5.2 Occurrence and Roadkill suitability patterns 177
5.5.3 Model Evaluation and Validation 180
5.5.4 Stream connectivity implications for conservation and landscape design 183
5.6 Conclusions 187
Chapter 6 Discussion 190
6.1 Open-Space Configuration: Dissertation Contribution and Conceptual Framing 190
6.2 Multi-Scale Analysis as the Methodological Foundation 193
6.3 Project-Planning-Level Application: Prioritization and Resource Allocation 194
6.4 Design-Level Application: Translating Ecological Evidence into Design Parameters 196
6.5 Open-Space Configuration through Design, Planning, and Operation (Core Contributions) 197
6.6 Strategic-Planning-Level Application: Habitat Connectivity and Stream-Network Organization 199
6.7 Integrating Strategic Planning, Project Planning, and Design 202
6.8 Limitations and Scope of Inference 204
6.9 Implications for Environmental Planning and Sustainable Development 206
6.10 Concluding Synthesis 209
Chapter 7 Conclusions 212
References 216
Appendix A Supplementary Figures 250
Appendix B Supplementary Tables 267
-
dc.language.isoen-
dc.subject兩棲類生物多樣性-
dc.subject路殺-
dc.subject路殺減緩-
dc.subject生物氣候變數-
dc.subject植被指數-
dc.subject河岸走廊-
dc.subject防風林種植-
dc.subjectamphibian biodiversity-
dc.subjectwildlife–vehicle collisions-
dc.subjectroadkill mitigation-
dc.subjectbioclimatic variables-
dc.subjectvegetation indices-
dc.subjectriparian corridor-
dc.subjectshelterbelt planting-
dc.title開放空間配置:環境規劃與設計支持生物多樣性保育zh_TW
dc.titleOpen Spaces Configuration: Environmental Planning and Design for Biodiversity Conservation and Sustainable Developmenten
dc.typeThesis-
dc.date.schoolyear114-1-
dc.description.degree博士-
dc.contributor.oralexamcommittee方偉達;劉奇璋 ;溫在弘;張俊彥zh_TW
dc.contributor.oralexamcommitteeWei-Ta Fang;Chi-Chang Liu;Tzai-Hung Wen;Chun-Yen Changen
dc.subject.keyword兩棲類生物多樣性,路殺路殺減緩生物氣候變數植被指數河岸走廊防風林種植zh_TW
dc.subject.keywordamphibian biodiversity,wildlife–vehicle collisionsroadkill mitigationbioclimatic variablesvegetation indicesriparian corridorshelterbelt plantingen
dc.relation.page288-
dc.identifier.doi10.6342/NTU202600529-
dc.rights.note未授權-
dc.date.accepted2026-02-23-
dc.contributor.author-college生物資源暨農學院-
dc.contributor.author-dept生物環境系統工程學系-
dc.date.embargo-liftN/A-
顯示於系所單位:生物環境系統工程學系

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