2023
DOI: 10.1002/ece3.9755
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Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China

Abstract: Marsh is an important type of wetland ecosystems, which plays a key part in protecting biodiversity, regulating runoff, and chang-

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Cited by 4 publications
(5 citation statements)
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“…The compensatory effect is a phenomenon that vegetation produces more organic matter the next day after consuming organic matter due to nighttime warming, resulting in some recovery of vegetation growth ( Peng et al., 2013 ; Ulrich et al., 2019 ). Previous studies have shown that environments with sufficient water easily lead to a compensatory effect and even a super compensatory effect ( Liu et al., 2023b ; Shen et al., 2024 ), which can recover and even exceed the original state of the vegetation ( Wang et al., 2023 ; Liu et al., 2023a ). The subject of this study was marsh wetland with sufficient water and nutrients ( Shen et al., 2022b ); therefore, a super compensatory effect may have occurred in this region.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The compensatory effect is a phenomenon that vegetation produces more organic matter the next day after consuming organic matter due to nighttime warming, resulting in some recovery of vegetation growth ( Peng et al., 2013 ; Ulrich et al., 2019 ). Previous studies have shown that environments with sufficient water easily lead to a compensatory effect and even a super compensatory effect ( Liu et al., 2023b ; Shen et al., 2024 ), which can recover and even exceed the original state of the vegetation ( Wang et al., 2023 ; Liu et al., 2023a ). The subject of this study was marsh wetland with sufficient water and nutrients ( Shen et al., 2022b ); therefore, a super compensatory effect may have occurred in this region.…”
Section: Discussionmentioning
confidence: 99%
“…Spatial resolution of the data is 500 m, and it has been tested for quality assurance ( Shen et al., 2022b ). The distribution of herbaceous marshes in China were obtained from the 2010-2015 dataset provided by the China Wetland Ecology and Environment Data Center ( http://wdcrre.data.ac.cn/ ) , which have been verified by field observation ( Liu et al., 2023a ). Meteorological data used in this study were monthly average maximum temperature, average minimum temperature, average temperature, and precipitation data, which were obtained from the National Meteorological Center ( http://data.cma.cn/en ).…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in the polyfit‐maximum approach, the EOS date is set to correspond to the time of the largest decrease in NDVI at the end of the growth period (Piao et al., 2006). The polyfit‐maximum method has been widely used to extract vegetation phenology owing to its excellent performance (e.g., Cong et al., 2013; Fu et al., 2014; Jeong et al., 2011; Kafaki et al., 2009; Li et al., 2023; Liu et al., 2016, 2023; Ma et al., 2022; Piao et al., 2015; Shen et al., 2018, 2019, 2023; Su et al., 2022; Wang et al., 2016, 2018; Wu & Liu, 2013; Yang et al., 2015, 2021; Zhang et al., 2013; Zhou et al., 2020) and consists in a number of steps.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, China's 0 • isotherm passes through this region. As a result, large-scale differences in climate (Figure 2a,b), plants [42,43], soil, and agricultural land use exist between north and south regions of the Qinling Mountains [10,44]. Specifically, the climate is dry in the north and wet in the south.…”
Section: Study Areamentioning
confidence: 99%
“…Due to its periodic/recurrent nature and sensitivity to climate change, land surface phenology is considered an important vegetation indicator [6,7]. Additionally, land surface phenology provides suitable references for studying global climate change, biodiversity changes, ecosystem structure alterations [8][9][10], and carbon budget dynamics [11]. Land surface phenology metrics are also widely used in remote sensing-based drought monitoring systems [12] and for yield forecasting purposes [13].…”
Section: Introductionmentioning
confidence: 99%