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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林裕彬 | zh_TW |
| dc.contributor.advisor | Yu-Pin Lin | en |
| dc.contributor.author | 陳蕙韻 | zh_TW |
| dc.contributor.author | Hui-Yun Chen | en |
| dc.date.accessioned | 2026-03-04T16:18:46Z | - |
| dc.date.available | 2026-03-05 | - |
| dc.date.copyright | 2026-03-04 | - |
| dc.date.issued | 2026 | - |
| dc.date.submitted | 2026-02-23 | - |
| dc.identifier.citation | Agnihotri, P., Lal, R., Mishra, D., & Shukla, P. (2009). Root distribution pattern of litchi as influenced by seasonal variations. Indian Journal of Horticulture, 66(2), 257-260.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/101755 | - |
| dc.description.abstract | 近年來，全球氣候變遷與都市化進程加速，造成生態系統功能及結構穩定的衝擊，進而影響生態系服務(Ecosystem Services, ES)的供給與需求平衡。而水—能源—糧食(Water-Energy-Food, WEF)是維持人類生存及城市永續發展的關鍵要素，彼此間具有高度鏈結性並相互影響，因此，從 WEF鏈結視角探討生態系服務供需及其空間聚集分布，對於資源管理與政策制定具有重要意義。
本研究以高雄市為案例，運用InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs)模型套件，以 WEF視角，挑選六項代表性之生態系服務，包括Annual Water Yield、Sediment Delivery、Carbon Storage and Sequestration、Crop Production、Flood Risk Mitigation、Urban Cooling。針對每項服務，分別計算與量化其供給與需求後，建立供需指標(Ecosystem Services Supply-Demand Ratio, ESDR)，進行空間的匹配分析；在空間分析部分，採用 Getis-Ord Gi*統計量進行熱點分析(Hotspot Analysis），以及 Local Moran’s I 進行局部空間自相關檢定，辨識供需失衡之空間聚集區域，進而提出資源管理優先區域。此外，本研究亦透過整合水、能源與糧食的永續性指標，輔助評估資源壓力及永續風險。 研究結果指出，高雄市 ES供需具有明顯空間異質性，都市核心區與沿海工業區呈現高需求、低供給之失衡特徵；偏遠山區則呈現高供給、低需求之格局。同時，部分行政區在水資源壓力與能源面向的永續性呈現較高風險，反映資源使用壓力與服務供需失衡間可能存在潛在衝突。 綜合而言，本研究揭示高雄市生態系服務供需與永續性壓力之空間特性，並提出結合 WEF鏈結視角與空間統計分析之方法架構，可作為都市或區域尺度分區治理、永續資源管理與空間規劃之參考。期望研究成果能為高雄市推動永續發展政策、強化生態基礎設施與氣候變遷調適提供科學依據與策略建議。 | zh_TW |
| dc.description.abstract | In recent years, accelerating global climate change and urbanization have disrupted the stability of ecosystem structure and functions, thereby affecting the balance between the supply and demand of ecosystem services (ES). Water, energy, and food (Water–Energy–Food, WEF) are key elements for sustaining human survival and urban sustainable development, and are highly interconnected and mutually influential. Therefore, examining ecosystem service supply–demand patterns and their spatial clustering from a WEF nexus perspective is of great significance for resource management and policy formulation.
This study takes Kaohsiung City as a case study and applies the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) modeling suite from a WEF perspective. Six representative ecosystem services were selected, including annual Water Yield, sediment delivery, carbon storage and sequestration, crop production, flood risk mitigation, and urban cooling. For each service, supply and demand were calculated and quantified, and an Ecosystem Services Supply–Demand Ratio (ESDR) was established to conduct spatial matching analysis. Spatial analyses were performed using the Getis–Ord Gi* statistic for hotspot analysis and Local Moran’s I for local spatial autocorrelation analysis, in order to identify spatially clustered areas of supply–demand imbalance and thus propose priority areas for resource management. In addition, this study integrated WEF sustainability indicators to support the assessment of resource pressures and sustainability risks. The results indicate that ecosystem service supply and demand in Kaohsiung City exhibit significant spatial heterogeneity. Urban core areas and coastal industrial zones show imbalance characteristics of high demand and low supply, whereas mountainous and remote areas present a pattern of high supply and low demand. Meanwhile, some administrative districts demonstrate higher risks in terms of water resource pressure and sustainability performance in the energy dimension, reflecting potential conflicts between resource use intensity and ecosystem service supply–demand imbalance. Overall, this study reveals the spatial characteristics of ecosystem service supply–demand relationships and sustainability pressures in Kaohsiung City, and proposes a methodological framework that integrates a WEF nexus perspective with spatial statistical analysis. The results can serve as a reference for zoned governance, sustainable resource management, and spatial planning at urban or regional scales, and are expected to provide scientific evidence and strategic guidance for promoting sustainable development policies, strengthening ecological infrastructure, and enhancing climate change adaptation in Kaohsiung City. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2026-03-04T16:18:46Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2026-03-04T16:18:46Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 謝辭 i
摘要 ii ABSTRACT iii 目次 v 圖次 viii 表次 x Chapter 1 前言 1 1.1 研究動機 1 1.2 研究目的 2 1.3 研究架構 3 Chapter 2 文獻回顧 6 2.1 水—能源—糧食鏈結與永續性指標 6 2.2 行政區生態系服務 7 2.3 生態系服務供需匹配 9 2.4 熱點識別與空間聚集分析 11 Chapter 3 研究方法與架構 13 3.1 研究區簡介 13 3.2 生態系服務供給量化 16 3.2.1 水源供給 17 3.2.2 洪水調節服務 20 3.2.3 碳儲存 23 3.2.4 降溫潛勢 24 3.2.5 土壤保持能力 28 3.2.6 作物生產 31 3.3 生態系服務需求量化 32 3.3.1 用水需求量 32 3.3.2 洪水逕流負荷 33 3.3.3 碳排抵銷需求 34 3.3.4 降溫需求 35 3.3.5 減砂需求 37 3.3.6 糧食需求 38 3.4 生態系服務供需定量分析 38 3.5 永續性指標建構 39 3.5.1 水指標 42 3.5.2 能源指標 44 3.5.3 糧食指標 46 3.6 權衡與熱點分析 48 3.6.1 熱冷點區識別分析 48 3.6.2 空間自相關分析 49 3.6.3 皮爾森相關係數 49 Chapter 4 研究結果 51 4.1 生態系服務供給與需求分布 51 4.1.1 產水量之供給與需求分布 51 4.1.2 洪峰緩減之供給與需求分布 54 4.1.3 作物生產之供給與需求分布 57 4.1.4 沉積物留存之供給與需求分布 60 4.1.5 碳儲存之供給與需求分布 62 4.1.6 都市降溫之供給與需求分布 64 4.1.7 行政區間生態系服務供給與需求權衡關係 66 4.1.8 小結 68 4.2 生態系服務供需匹配結果 68 4.2.1 ESDR之空間分布與時序變化 68 4.2.2 ESDR之權衡與協同關係 70 4.3 水—能源—糧食(WEF)永續性分析 72 4.3.1 永續性指標之空間分布 72 4.3.2 WEF永續性指標之統計比較與權衡關係 75 4.4 生態系服務與 WEF之權衡關係與空間聚集 76 4.4.1 生態系服務供給之空間聚集與熱冷點分布 76 4.4.2 ESDR之熱冷點分布與空間聚集 79 4.4.3 生態系服務與 WEF永續性之統計權衡關係 82 4.5 雙重壓力區與空間匹配 83 Chapter 5 結果討論 90 5.1 生態系服務供給與需求格局之解讀 90 5.2 生態系服務供需匹配壓力來源 92 5.3 WEF永續性指標與生態系服務之權衡與協同 94 5.4 雙重壓力區與空間治理策略 97 Chapter 6 結論與未來 102 6.1 結論 102 6.2 研究限制與未來工作 104 參考文獻 106 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 生態系服務 | - |
| dc.subject | 供需比 | - |
| dc.subject | WEF Nexus | - |
| dc.subject | InVEST模型 | - |
| dc.subject | 空間熱冷點分析 | - |
| dc.subject | Ecosystem services | - |
| dc.subject | supply–demand ratio | - |
| dc.subject | WEF nexus | - |
| dc.subject | InVEST model | - |
| dc.subject | spatial hotspot analysis | - |
| dc.title | 水-能源-糧食面向下高雄市生態系服務供需與熱點分析 | zh_TW |
| dc.title | Analysis of Ecosystem Services Supply and Demand Hotspots in Kaohsiung City from the Water-Energy-Food Nexus Perspective | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 114-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 江莉琪;潘述元;王咏潔 | zh_TW |
| dc.contributor.oralexamcommittee | Li-Chi Chiang;Shu-Yuan Pan;Yung-Chieh Wang | en |
| dc.subject.keyword | 生態系服務,供需比WEF NexusInVEST模型空間熱冷點分析 | zh_TW |
| dc.subject.keyword | Ecosystem services,supply–demand ratioWEF nexusInVEST modelspatial hotspot analysis | en |
| dc.relation.page | 112 | - |
| dc.identifier.doi | 10.6342/NTU202600778 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2026-02-23 | - |
| 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-lift | 2026-03-05 | - |
| 顯示於系所單位： | 生物環境系統工程學系 | |
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