Comprehensive reassessment of Australia's land-surface phenology trends (1982–2022) using circular statistics and a harmonised NDVI dataset

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Chad.A. Burton , Sami.W. Rifai , Luigi.J. Renzullo , Albert.I.J.M. Van Dijk
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Abstract

Land-surface phenology is critical to understanding Earth system responses to environmental change. However, there is a lack of studies that specifically examine Australian phenology trends over time periods long enough to robustly capture the effects of a changing climate. Here we utilise and demonstrate the methodological superiority of circular statistics for quantifying phenology in Australia. Next, we employ circular statistical methods across a long-term harmonised NDVI dataset (1982–2022) to analyse phenological trends across Australia's diverse landscapes. We find that forest ecosystems exhibit inertia to long-term shifts in rainfall regimes and increasing vapour pressure deficits, exhibiting stable growing season length, but increased maximum seasonal productivity (0.012 NDVI/decade). In contrast, shrublands and grasslands show significant phenological shifts, including earlier green-ups (−4.3 and − 2.0 days/decade, respectively), earlier senescence (−2.5 and − 1.7 days/decade), and earlier peaks (−2.5 and − 3.1 days/decade) linked to altered rainfall regimes and land use changes. Only modest increases in the length of season are observed because the start and end of seasons often advance simultaneously. Importantly, major cropping regions are experiencing shortened growing seasons (−3.5 days/decade), offset by increased maximum NDVI, stabilising productivity but raising concerns for future agricultural productivity. Increases in maximum NDVI are driving an amplification of Australia's vegetation cycles, with concomitant increases in rates of growth and senescence.
利用循环统计和统一的NDVI数据集对澳大利亚陆地表面物候趋势(1982-2022)进行全面重新评估
陆地表面物候学对于理解地球系统对环境变化的响应至关重要。然而,缺乏专门研究澳大利亚物候学趋势的研究,这些研究需要足够长的时间来强有力地捕捉气候变化的影响。在这里,我们利用和证明循环统计量化物候在澳大利亚的方法学优势。接下来,我们在长期统一的NDVI数据集(1982-2022)中采用循环统计方法来分析澳大利亚不同景观的物候趋势。我们发现森林生态系统对降雨制度的长期变化和蒸汽压赤字的增加表现出惯性,表现出稳定的生长季节长度,但增加了最大季节生产力(0.012 NDVI/ 10年)。相比之下,灌丛和草原表现出显著的物候变化,包括与降雨制度改变和土地利用变化相关的更早的绿期(分别为- 4.3天和- 2.0天/ 10年)、更早的衰老期(分别为- 2.5天和- 1.7天/ 10年)以及更早的峰值期(- 2.5天和- 3.1天/ 10年)。由于季节的开始和结束往往同时推进,因此观察到季节长度只有适度的增加。重要的是,主要种植区的生长期正在缩短(每十年减少3.5天),这被最大NDVI的增加所抵消,从而稳定了生产力,但也引发了对未来农业生产力的担忧。最大NDVI的增加正在推动澳大利亚植被周期的扩大,随之而来的是生长和衰老速度的增加。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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