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首页> 外文期刊>Journal of Plant Research >Satellite Ecology (SATECO)-linking ecology, remote sensing and micrometeorology, from plot to regional scale, for the study of ecosystem structure and function
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Satellite Ecology (SATECO)-linking ecology, remote sensing and micrometeorology, from plot to regional scale, for the study of ecosystem structure and function

机译：卫星生态学（SATECO），将生态学，遥感和微气象学联系起来，从地块到区域范围，用于研究生态系统的结构和功能

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There is a growing requirement for ecosystem science to help inform a deeper understanding of the effects of global climate change and land use change on terrestrial ecosystem structure and function, from small area (plot) to landscape, regional and global scales. To meet these requirements, ecologists have investigated plant growth and carbon cycling processes at plot scale, using biometric methods to measure plant carbon accumulation, and gas exchange (chamber) methods to measure soil respiration. Also at the plot scale, micrometeorologists have attempted to measure canopy- or ecosystem-scale CO2 flux by the eddy covariance technique, which reveals diurnal, seasonal and annual cycles. Mathematical models play an important role in integrating ecological and micrometeorological processes into ecosystem scales, which are further useful in interpreting time-accumulated information derived from biometric methods by comparing with CO2 flux measurements. For a spatial scaling of such plot-level understanding, remote sensing via satellite is used to measure land use/vegetation type distribution and temporal changes in ecosystem structures such as leaf area index. However, to better utilise such data, there is still a need for investigations that consider the structure and function of ecosystems and their processes, especially in mountainous areas characterized by complex terrain and a mosaic distribution of vegetation. For this purpose, we have established a new interdisciplinary approach named 'Satellite Ecology', which aims to link ecology, remote sensing and micrometeorology to facilitate the study of ecosystem function, at the plot, landscape, and regional scale.
机译：从小区域（地块）到景观，区域和全球范围，对生态系统科学的需求日益增长，以帮助人们更深入地了解全球气候变化和土地利用变化对陆地生态系统结构和功能的影响。为了满足这些要求，生态学家使用生物测定法来测量植物的碳积累，并使用气体交换（室）方法来测量土壤呼吸，研究了地块规模上的植物生长和碳循环过程。同样在样地尺度上，微气象学家已经尝试通过涡度协方差技术测量冠层或生态系统尺度的CO2通量，该技术揭示了昼夜，季节和年度周期。数学模型在将生态和微气象过程整合到生态系统规模中起着重要作用，通过与CO2通量测量值进行比较，数学模型在解释从生物识别方法获得的时间累积信息方面进一步有用。为了对这样的地块级理解进行空间缩放，可以使用通过卫星进行的遥感来测量土地利用/植被类型的分布以及生态系统结构（例如叶面积指数）的时间变化。但是，为了更好地利用这些数据，仍然需要考虑生态系统的结构和功能及其过程的研究，尤其是在地形复杂且植被呈马赛克状分布的山区。为此，我们建立了一种新的跨学科方法，称为“卫星生态学”，该方法旨在将生态学，遥感和微气象学联系起来，以促进在地块，景观和区域范围内对生态系统功能的研究。

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