Extracting Vegetation Phenology in Heterogeneous Drylands Using LiDAR and Landsat Temporal Decomposition: A Latitudinal Assessment of Waterholes Within the Cooper Creek, Australia

IF 3.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Marcelo Henriques, Tim R. McVicar, Kate L. Holland, Edoardo Daly
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Abstract

Land surface phenology (LSP) is useful to understand patterns of terrestrial ecosystems. Detecting LSP in drylands is more challenging when compared to agricultural and mesic environments due to vegetation heterogeneity, the presence of evergreen and seasonal species, and the dominant role of water (which is often received episodically with variable timing) in determining vegetation growth. In this study, LiDAR-derived vegetation classes are defined to guide and improve the interpretation of LSP metrics extracted using temporally decomposed Landsat fPAR time series. This method was applied to waterholes within the Cooper Creek floodplain, in dryland Australia, which are important for ecological conservation. Results showed that phenology is mostly associated with the recurrent vegetation (approximately 80% of all identified phenological events) in all waterholes. However, during high streamflow periods, the number of phenological events associated with the persistent vegetation greatly increased (up to 40% of the identified events). Non-annual phenology was also identified, with more than one phenological event occurring across a water year during high streamflow periods. The duration of the phenological events of the persistent vegetation exceeded one water year during periods of high streamflow. Phenological differences of the LiDAR-derived vegetation classes occupying the riparian zone of the waterholes were also identified. Streamflow movement across the floodplain exerts an important influence on the vegetation phenology, as suggested by a lag in the phenology when comparing southern and northern waterholes. The method developed herein can be applied to other highly spatially heterogeneous ecosystems where vegetation species simultaneously present permanent and seasonal patterns.

Abstract Image

利用激光雷达和大地遥感卫星时间分解提取异质旱地的植被时序:澳大利亚库珀溪内水坑的纬度评估
地表物候(LSP)有助于了解陆地生态系统的模式。由于植被的异质性、常绿和季节性物种的存在,以及水(通常是偶发的,时间不定)在决定植被生长中的主导作用,与农业和中生环境相比,在旱地检测地表物候更具挑战性。在本研究中,定义了源自激光雷达的植被类别,以指导和改进对使用经时间分解的 Landsat fPAR 时间序列提取的 LSP 指标的解释。该方法应用于澳大利亚干旱地区库珀溪洪泛平原的水坑,这些水坑对生态保护非常重要。结果表明,在所有水潭中,物候大多与周期性植被有关(约占所有已识别物候事件的 80%)。然而,在高溪流期,与持久性植被相关的物候事件数量大大增加(高达已识别事件的 40%)。此外,还发现了非年度物候现象,在高溪流期,一个水年中会出现一个以上的物候事件。在大流量时期,持久性植被的物候事件持续时间超过一个水年。此外,还确定了占据水坑河岸地带的 LiDAR 衍生植被类别的物候差异。溪流在洪泛平原上的移动对植被物候产生了重要影响,这一点在比较南部和北部水坑的物候时可以看出。本文开发的方法可应用于植被物种同时呈现永久性和季节性模式的其他高度空间异质性生态系统。
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来源期刊
Journal of Geophysical Research: Biogeosciences
Journal of Geophysical Research: Biogeosciences Earth and Planetary Sciences-Paleontology
CiteScore
6.60
自引率
5.40%
发文量
242
期刊介绍: JGR-Biogeosciences focuses on biogeosciences of the Earth system in the past, present, and future and the extension of this research to planetary studies. The emerging field of biogeosciences spans the intellectual interface between biology and the geosciences and attempts to understand the functions of the Earth system across multiple spatial and temporal scales. Studies in biogeosciences may use multiple lines of evidence drawn from diverse fields to gain a holistic understanding of terrestrial, freshwater, and marine ecosystems and extreme environments. Specific topics within the scope of the section include process-based theoretical, experimental, and field studies of biogeochemistry, biogeophysics, atmosphere-, land-, and ocean-ecosystem interactions, biomineralization, life in extreme environments, astrobiology, microbial processes, geomicrobiology, and evolutionary geobiology
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