生態農業：農業地景生態監測及復育【土木工程學系/蔡慧萍助理教授】
| 論文篇名 | 英文：Cluster and Redundancy Analyses of Taiwan Upstream Watersheds Based on Monthly 30 Years AVHRR NDVI3g Data 中文：基於三十年遙測植被資料之台灣上游集水區分群與冗餘分析 |
| 期刊名稱 | Atmosphere |
| 發表年份,卷數,起迄頁數 | 2021, 12(9), no.1206 |
| 作者 | Tsai, Hui Ping(蔡慧萍)*; Wong, Wei-Ying |
| DOI | 10.3390/atmos12091206 |
| 中文摘要 | 本研究應用1982年至2012年30年的常態化差異植生指標(Normalized difference vegetation index, NDVI)，配合氣溫與雨量時間序列資料，以層次分群分析（HCA）和冗餘分析（RDA）方法，探討台灣上游集水區之自然分群與重要影響因子，並進行分群的氣候變遷影響討論。根據 HCA分析結果，台灣上游集水區可分為六個分群，各自具備獨特 的植被NDVI 特徵。此外，根據 RDA 分析成果，環境因子中的雨量、溫度、坡度和坡向可解釋約 52% 的 NDVI 變異性，其中具顯著影響力的因子有九項，包含平均坡度、溫度、平坦坡、東北向坡、雨量、東向坡、東南向坡、西向坡和西北向坡，反映出氣候和環境因子與植被之間的密切關係。此外，在未來氣候變遷情境下，降雨和溫度在季節和空間上皆有變化，考量各分群的特點和具顯著影響力的環境因素，本研究針對各分群提出了相應的適應策略，有利於未來台灣上游集水區之永續管理。 |
| 英文摘要 | The study uses 30 years of the third generation of Advanced Very-High-Resolution Radiometer (AVHRR) NDVI3g monthly data from 1982 to 2012 to identify the natural clusters and important driving factors of the upstream watersheds in Taiwan through hierarchical cluster analysis (HCA) and redundancy analysis (RDA), respectively. Subsequently, as a result of HCA, six clusters were identified based on the 30 years of monthly NDVI data, delineating unique NDVI characteristics of the upstream watersheds. Additionally, based on the RDA results, environmental factors, including precipitation, temperature, slope, and aspect, can explain approximately 52% of the NDVI variance over the entire time series. Among environmental factors, nine factors were identified significantly through RDA analysis for explaining NDVI variance: average slope, temperature, flat slope, northeast-facing slope, rainfall, east-facing slope, southeast-facing slope, west-facing slope, and northwest-facing slope, which reflect an intimate connection between climatic and orthographic factors with vegetation. Furthermore, the rainfall and temperature represent different variations in all scenarios and seasons. With consideration of the characteristics of the clusters and significant environmental factors, corresponding climate change adaptation strategies are proposed for each cluster under climate change scenarios. Thus, the results provide insight to assess the natural clustering of the upstream watersheds in Taiwan, benefitting future sustainable watershed management. |
| 發表成果與本中心研究主題相關性 | 此研究以地景生態的角度，針對台灣的上游集水區進行分析，討論長期環境因子與植被的交互關係，也進而提出氣候變遷下的各分群的相應適應策略，有利於台灣生態環境資源保育之永續管理，符合永續農業創新發展研究主軸。 |
