Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China

Liu, Yiwen; Shen, Xiangjin; Zhang, Jiaqi; Wang, Yanji; Wu, Liyuan; Ma, Rong; Lü, Xianguo; Jiang, Ming

doi:10.1002/ece3.9755

Cited by 2 publications

(3 citation statements)

References 55 publications

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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%

“…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%

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Spatial and temporal variation of net primary productivity of herbaceous marshes and its climatic drivers in China

Wu,

Shen,

Zhang

et al. 2024

Front. Plant Sci.

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Herbaceous marshes are widely distributed in China and are vital to regional ecological security and sustainable development. Vegetation net primary productivity (NPP) is a vital indicator of vegetation growth. Climatic change can significantly affect NPP, but variations in NPP of herbaceous marsh and their responses to climate change in China remain unclear. Using meteorological data and MODIS NPP data during 2000-2020, this study analyzed the spatial and temporal variations of NPP and their responses to climate change in Chinese herbaceous marshes. We found that the annual NPP of herbaceous marshes in China increased significantly at a rate of 3.34 g C/m2/a from 2000 to 2020, with an average value of 336.60 g C/m2. The increased annual total precipitation enhanced the national average NPP, whereas annual mean temperature had no significant effect on the national average NPP. Regionally, precipitation had a significant positive effect on the NPP in temperate semi-arid and arid and temperate semi-humid and humid marsh regions. For the first time, we discovered asymmetry effects of daytime and nighttime temperatures on NPP in herbaceous marshes of China. In temperate humid and semi-humid marsh regions, increased summer daytime temperature decreased the NPP while increased summer nighttime temperature increased the NPP. In the Tibetan Plateau, increased autumn daytime temperature, as well as summer daytime and nighttime temperatures could increase the NPP of herbaceous marshes. This study highlights the different influences of seasonal climate change on the NPP of herbaceous marshes in China and indicates that the differential effects of daytime and nighttime temperatures should be considering in simulating the NPP of herbaceous marshes in terrestrial ecosystem models, especially under the background of global asymmetric diurnal warming.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Spatial and temporal variation of net primary productivity of herbaceous marshes and its climatic drivers in China

Wu,

Shen,

Zhang

et al. 2024

Front. Plant Sci.

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“…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%

Critical role of water conditions in the responses of autumn phenology of marsh wetlands to climate change on the Tibetan Plateau

Shen,

et al. 2023

Global Change Biology

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The Tibetan Plateau, housing 20% of China's wetlands, plays a vital role in the regional carbon cycle. Examining the phenological dynamics of wetland vegetation in response to climate change is crucial for understanding its impact on the ecosystem. Despite this importance, the specific effects of climate change on wetland vegetation phenology in this region remain uncertain. In this study, we investigated the influence of climate change on the end of the growing season (EOS) of marsh wetland vegetation across the Tibetan Plateau, utilizing satellite‐derived Normalized Difference Vegetation Index (NDVI) data and observational climate data. We observed that the regionally averaged EOS of marsh vegetation across the Tibetan Plateau was significantly (p < .05) delayed by 4.10 days/decade from 2001 to 2020. Warming preseason temperatures were found to be the primary driver behind the delay in the EOS of marsh vegetation, whereas preseason cumulative precipitation showed no significant impact. Interestingly, the responses of EOS to climate change varied spatially across the plateau, indicating a regulatory role for hydrological conditions in marsh phenology. In the humid and cold central regions, preseason daytime warming significantly delayed the EOS. However, areas with lower soil moisture exhibited a weaker or reversed delay effect, suggesting complex interplays between temperature, soil moisture, and EOS. Notably, in the arid southwestern regions of the plateau, increased preseason rainfall directly delayed the EOS, while higher daytime temperatures advanced it. Our results emphasize the critical role of hydrological conditions, specifically soil moisture, in shaping marsh EOS responses in different regions. Our findings underscore the need to incorporate hydrological factors into terrestrial ecosystem models, particularly in cold and dry regions, for accurate predictions of marsh vegetation phenological responses to climate change. This understanding is vital for informed conservation and management strategies in the face of current and future climate challenges.

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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-

Cited by 2 publications

References 55 publications

Spatial and temporal variation of net primary productivity of herbaceous marshes and its climatic drivers in China

Spatial and temporal variation of net primary productivity of herbaceous marshes and its climatic drivers in China

Critical role of water conditions in the responses of autumn phenology of marsh wetlands to climate change on the Tibetan Plateau

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