2011-08-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/681325摘要：全球的氣候變化在最近幾十年對於生物領域代謝循環中有顯著的變化，此變化在全球及區域陸域環境會產生其巨大影響，並且會對社會和經濟帶來附隨的損害，其所造成的衝擊需要區域尺度頻繁生態系統監測才得以評估。因此，此研究的目的是系統化監測台灣自然陸生環境生物地球化學，水文及能量循環。為了做到這一點，我們將設置一個台灣主要陸域生態系統的研究網絡，稱為EcoNTU(陸域生態複雜系統監測網絡)。在這個計畫中，我們提出了一個創新方法，利用氣候感測技術，整合不同尺度的田野調查、無人載具引導高光譜影像監測這些生態系統的空間及時間動態。其主要目標是在全球變化的世代，建立出一個環境監測網絡，能對廣大地區做很詳細準確的生態系統品質評估。 EcoNTU結合了多尺度監測，包括現地尺度，頻繁的渦流通量測量、氣象訊息、水流、生物地球化學及景觀尺度季節性遙測觀測。開發環境監測系統網絡是當前的尖端科技。例如，今年2011年美國國家科學基金會剛剛推出的NEON（國家生態監測網絡）是人類歷史上最大規模的生態監測方案。EcoNTU將用較低的成本收集類似NEON的資料，這使得EcoNTU在世界環境科學界更有價值，特別是那些在管理熱帶地區寶貴的自然遺產的發展中與未開發國家。EcoNTU系統化的資料整合分析方式，將顯著促進跨尺度的生態系統研究和提升監測複雜生態系統對於氣候變化的反應與回饋。<br> Abstract: Global climate change has significantly altered the metabolic cycles of biosphere in the recent decades. It would induce tremendous impacts on terrestrial environments regionally and globally, and trigger collateral damages on the society and economy. The ramifications are difficult to assess without frequent ecosystem observations at the regional scale. Therefore, this research is designed to monitor the “vital signs” of Taiwan’s natural terrestrial environment: Biogeochemical, hydrological and energy cycles. In order to do that, we will set up a network of research sites that are representative to Taiwan’s main ecosystems, namely EcoNTU (Ecosystem Complexity Observatories for a Network of Terrestrial Units). In this project, we propose an innovative approach that utilizes synoptic sensing techniques to integrate different scales of field observations, and unmanned aerial vehicle guided hyperspectral images to investigate the spatial and temporal dynamics of these systems for the next five years. The primary objective is to establish a prototype of environmental observation network that can rapidly and accurately assess the conditions of ecosystems in great detail over a vast region in the era of global change. EcoNTU combines multi-scale observations including local scale, frequent measurements of eddy covariance flux, meteorological information, stream flow, biogeochemistry; and landscape scale seasonal airborne remotely sensed biophysical observations at a sub-meter ground sampling distance. Developing a network of environmental observation systems is cutting edge of current science. For instance, the National Science Foundation USA just launches NEON (the National Ecological Observatory Network) this year (2011), the largest ecological observation program ever in the human history for the next three decades. EcoNTU will collect similar data like NEON but with much lower budgets. This makes EcoNTU even more valuable for environmental science communities of the world, especially those of the developing/undeveloped countries in the tropical regions managing invaluable natural heritages. High quality data collect by EcoNTU can be integrated in a systematic fashion. This would significantly facilitate cross-scale research and permit deciphering of ecosystem complexity of Taiwan’s terrestrial ecosystems that are extremely sensitive to climate change.生物地球化學渦流相關法通量塔高光譜遙測氮色素無人航空載具分水嶺biogeochemistryeddy-covariance methodflux towerhyperspectral remote sensingnitrogenpigmentunmanned aerial vehiclewatershed