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Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
ISPRS Journal of Photogrammetry and Remote Sensing ( IF 12.7 ) Pub Date : 2020-12-11 , DOI: 10.1016/j.isprsjprs.2020.11.019
Jose A. Caparros-Santiago , Victor Rodriguez-Galiano , Jadunandan Dash

Vegetation phenology is considered an important biological indicator in understanding the behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation dynamics have been strongly linked to the variability of climate patterns and may have an important impact on the ecological processes of ecosystems, such as the land surface-atmosphere exchange of water and carbon, energy flows and interaction between different species. Land surface phenology (LSP) is the study of seasonal patterns in plant phenophases based on time series from vegetation indices (VI) or biophysical variables derived from satellite data, and has played an essential role in monitoring the response of terrestrial ecosystems to environmental changes from local to global scales. The goal of this systematic literature review is to provide a detailed synthesis of the main contributions of the global LSP research to the development of environmental knowledge and remote sensing science and technology, identifying possible gaps that could be addressed in the coming years.

This systematic review found that the number of LSP studies has grown exponentially since the 1980s, although the analysis of phenological metrics or phenometrics derived from satellite data (i.e. proxies for the biological phenophases of plants) has focused specifically on ecosystems located in the mid- and high-altitude in the Northern Hemisphere (e.g. boreal forest/taiga, evergreen, deciduous or mixed temperate forest). LSP studies use different satellite dataset and methods to estimate phenometrics. These studies identified an advance in spring and a delay in autumn phenophases as general trends. Although these trends were associated mainly to changes in temperature and precipitation, phenological cycle dynamics might be related to other drivers, such as photoperiod, soil moisture or organic carbon content, among others. Therefore, this interaction between different climatic and non-climatic drivers make phenology modelling a difficult task.

Hence, in the coming years, a greater integration of LSP data into ecological process modelling could provide a more complete overview on the terrestrial ecosystems functioning. Furthermore, different technical and methodological aspects (e.g. greater temporal coverage of recent high-spatial-resolution satellites, advances in remote-sensing technology or improved efficiency in the computational processing of geospatial data) may also contribute to improve our understanding of Earth’s ecosystem dynamics and their environmental drivers.



中文翻译:

地表物候学作为全球陆地生态系统动力学指标:系统综述

植被物候学被认为是了解生态系统行为及其对环境线索的反应的重要生物学指标。植被动态的变化与气候模式的变化密切相关,并且可能对生态系统的生态过程产生重要影响,例如水和碳的陆地-大气交换,能量流以及不同物种之间的相互作用。地表物候学(LSP)是基于植被指数(VI)或卫星数据得出的生物物理变量的时间序列研究植物表相季节模式的研究,在监测陆地生态系统对环境变化的响应中起着至关重要的作用。本地到全球范围。

这项系统的审查发现,自1980年代以来,LSP研究的数量呈指数增长,尽管从卫星数据(即植物的生物物候期的代理)得出的物候指标或物候指标的分析专门针对位于中年和中期的生态系统。北半球的高海拔地区(例如,北方森林/针叶林,常绿,落叶或温带混交林)。LSP研究使用不同的卫星数据集和方法来估计物候计量学。这些研究将春季的进展和秋季的物候期的延迟确定为总体趋势。尽管这些趋势主要与温度和降水的变化有关,但物候周期动态可能与其他驱动因素有关,例如光周期,土壤湿度或有机碳含量等。因此,

因此,在未来几年中,将LSP数据更好地集成到生态过程建模中可以提供有关陆地生态系统功能的更完整概述。此外,不同的技术和方法论方面(例如,最新的高空间分辨率卫星在时间上的覆盖范围更大,遥感技术的进步或地理空间数据的计算处理效率的提高)也可能有助于增进我们对地球生态系统动力学的了解,并他们的环境驱动力。

更新日期:2020-12-11
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