暖干气候缩小了黄河流域植被绿度和光合物候期的差异

IF 4.5 Q2 ENVIRONMENTAL SCIENCES
Yan Liu , Jialin Bi , Xiaoyu Cai , Liping Wang , Guoqing Li , Xiaohui Wang , Xianbin Liu , Zhanpeng Xu , Xiang Yu , Chao Zhan
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引用次数: 0

摘要

黄河流域是一个历史上极其脆弱的生态系统,中国在生态恢复方面取得了巨大成就。如今,温暖干燥的气候已经威胁到那里的生态系统。植被物候变化是衡量生态系统对气候变化平衡的有效指标。因此,本文获得了植被绿色物候期(VGPPs)和植被光合物候期(VPPPs)两个植被物候期,并进行了比较,以确定长江区植被生态系统对暖干气候的响应。利用太阳诱导的叶绿素荧光(SIF)和NDVI,通过sg滤波和动态阈值法获得两个VGPPs。结果表明:①2001 ~ 2022年,随着干暖型气候的变化,VGPPs与VPPPs的差异逐渐减小;从2001年到2022年,VGPPs的生长季长(GSL)缩短了5天,vpppps的生长季长(GSL)延长了11天。因此,VGPPs持续时间与vpppps持续时间的差异从40 d减小到24 d,且有明显的减小趋势(k = - 0.74);②南部和东南部地区生长季开始时间较早,西部和北部地区生长季开始时间较晚;生长季末(EOS)表现出与SOS相反的模式;3)在VGPPs和vpppps中,温度是SOS的主导因子,土壤水分是EOS的主导因子。此外,VPPPs对温度、土壤水分(SW)、降水和光合有效辐射(PAR)的敏感性高于VGPPs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Warm-dry climate narrowed the difference between vegetation greenness and photosynthetic phenology periods in the Yellow River Basin, China
China has got a great achievement on ecological restoration in the Yellow River basin (YRB), which owned an extremely frail ecosystem in history. Nowadays, warm and dry climate has threatened the ecosystem there. Change of vegetation phenology act as an effective indicator for ecosystem balance against climate change. Thus, the periods of two vegetation phenology, vegetation green phenology periods (VGPPs) and vegetation photosynthetic phenology periods (VPPPs), were gained and compared here to identify the response of vegetation ecosystem to warm and dry climate in YRB. Sun-induced chlorophyll fluorescence (SIF) and NDVI were used to gain the two VGPPs with SG-filtering and dynamic thresholding method. The results showed that: 1) the differences between VGPPs and VPPPs gradually reduced with the warm-dry climate in the YRB from 2001 to 2022. Specifically, the growing season length (GSL) of VGPPs was shortened by 5 days, while VPPPs was lengthened by 11 days from 2001 to 2022. Thus, the difference between the duration of VGPPs and that of VPPPs was reduced from 40 d to 24 d, with an obviously declined trend (k = −0.74); 2) the start of growing season (SOS) appeared earlier in the southern and southeastern regions, while it occurred later in the western and northern regions. The end of growing season (EOS) showed the opposite pattern compared to SOS; 3) for VGPPs and VPPPs, temperature was the dominated factor for SOS, soil water was the dominated factor for EOS. Besides that, VPPPs were more sensitive than VGPPs to temperature, soil water (SW), precipitation and photosynthetically active radiation (PAR).
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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