鰲鼓海岸地區之生態環境脆弱度評估

Evaluation of Eco-environmental Vulnerability in Coastal Region of Aogu in Western Taiwan

呂明倫(Ming-Lun Lu) ； 謝漢欽(Han-Ching Hsieh)

《作物、環境與生物資訊》 10卷1期 (2013/03) Pp. 34-43

https://doi.org/10.30061/CEB.201303_10(1).0003

摘要

氣候變遷導致極端天氣事件的頻率與強度不斷增加，對人類生存帶來了嚴重的威脅，促使環境脆弱度的議題備受討論。本研究旨在探討海岸生態環境脆弱度，並以鱉鼓海岸地區作為研究區，藉由遙測技術與地理資訊系統建構了建物、農地、道路、外圍邊界與植被衰退區等5種潛在衝擊性指標，以及造林地、植被覆蓋度、植被回復與穩定植被區等4種適應性指標，並由因素分析方法發展空間分析模式，用以評估脆弱度之空間分佈情形。研究結果顯示，鱉鼓海岸地區之環境脆弱度可區分成嚴重、次嚴重、中度、次輕微與輕微等5個等級，屬嚴重與次嚴重等級者，大多分佈於人為干擾旺盛之區域；輕微等級者，區內有大量的植被覆蓋，抵抗逆境之能力相對較佳。由此可知，本研究結果可反映出實際現況，未來亦能作為其他高風險之海岸地區或不同生態系統之應用參考。

關鍵字

氣候變遷 ； 遙測技術 ； 地理資訊系統 ； 因素分析 ； 空間分佈

並列摘要

Climate change is a current global issue of great concern. One of its negative outcomes is increased frequency and intensity of natural disasters, thereby greatly affecting livelihood of the general public. To reduce the impacts of these hazards, subjects related to environmental vulnerability have been discussed extensively in recent years. This research was trying to integrate techniques of remote sensing, geographical information system and factor analysis to study and evaluate eco-environmental vulnerability in coastal region of Aogu in Western Taiwan. The evaluation scheme used five parameters, i.e., building, farmland, road, boundary line and vegetation, and four adaptive indices, i.e., plantation area, vegetation cover, vegetation resilience and stabilized vegetation, for processing. Results from spatial analysis came out with five levels to classify impact rankings of environmental vulnerability, namely, slight, light, moderate, heavy and extreme. According to spatial distributions of vulnerability, most areas classified as extreme and heavy levels located in artificial disturbance zones. Because of better tolerance to stressful conditions, areas largely covered by vegetation were mostly classified as slight level. In summary, the results of this study are very close to reality. Therefore, the developed protocol may also be extended to use in other high-risk coastal regions with diversified ecosystems that are vulnerable to natural disasters.

並列關鍵字

Climate change ； Remote sensing technique ； Geographical information system ； Factor analysis ； Spatial distribution