Spatiotemporal change of aboveground biomass and its response to climate change in marshes of the Tibetan Plateau

Wang, Yanji; Shen, Xiangjin; Jiang, Ming; Tong, Shuo; Lü, Xianguo

doi:10.1016/j.jag.2021.102385

Cited by 21 publications

(39 citation statements)

References 59 publications

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“…There are some uncertainties in this study. Firstly, the remote sensing data (including LST, ET, LAI, and albedo) from satellites could contain some uncertainties [58][59][60][61], which may have some impact on the current research results. Second, because each pixel may not accurately reflect the actual land-use type in the 0.05 • × 0.05 • region, the uncertainty of land-use data may cause uncertainty in the results.…”

Section: Effects Of Forest Changes On Summer Surface Temperatures In Changbai Mountainmentioning

confidence: 99%

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Zhang

Shen

Wang

et al. 2021

Forests

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The area and vegetation coverage of forests in Changbai Mountain of China have changed significantly during the past decades. Understanding the effects of forests and forest coverage change on regional climate is important for predicting climate change in Changbai Mountain. Based on the satellite-derived land surface temperature (LST), albedo, evapotranspiration, leaf area index, and land-use data, this study analyzed the influences of forests and forest coverage changes on summer LST in Changbai Mountain. Results showed that the area and vegetation coverage of forests increased in Changbai Mountain from 2003 to 2017. Compared with open land, forests could decrease the summer daytime LST (LSTD) and nighttime LST (LSTN) by 1.10 °C and 0.07 °C, respectively. The increase in forest coverage could decrease the summer LSTD and LSTN by 0.66 °C and 0.04 °C, respectively. The forests and increasing forest coverage had cooling effects on summer temperature, mainly by decreasing daytime temperature in Changbai Mountain. The daytime cooling effect is mainly related to the increased latent heat flux caused by increasing evapotranspiration. Our results suggest that the effects of forest coverage change on climate should be considered in climate models for accurately simulating regional climate change in Changbai Mountain of China.

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Section: Effects Of Forest Changes On Summer Surface Temperatures In Changbai Mountainmentioning

confidence: 99%

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Zhang

Shen

Wang

et al. 2021

Forests

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“…Marsh is a type of wetland ecosystem, which is crucial for regulating the regional climate and carbon cycle (Shen et al, 2020 ; Rietl et al, 2021 ; Wang et al, 2022a ). As an important quality parameter of marsh ecosystems, vegetation aboveground biomass (AGB) is an important index for evaluating carbon stocks and carbon sequestration function in marshes (Shen et al, 2021a ; Wang et al, 2021 ). Since climatic change remarkably influences marsh vegetation, understanding the impact of climatic change on marsh AGB is important for assessing the carbon storage of wetland ecosystems in the context of global climate change.…”

Section: Introductionmentioning

confidence: 99%

“…However, most of these studies focused on grassland and forest ecosystems, and only a few were conducted on marsh ecosystems (Flannigan et al, 2000 ; Shen et al, 2016 , 2022a ; Dai et al, 2021 ; Konings et al, 2021 ; Naik et al, 2021 ; Nandy et al, 2021 ; Qin et al, 2021 ; Wang et al, 2022b ). Compared with other ecosystems, marsh ecosystems have unique environmental conditions, which may lead to different influences of climate change on AGB (Wang et al, 2021 ). In the context of climate change, clarifying the temporal and spatial variations of marsh AGB is very important for predicting the regional carbon cycle.…”

Section: Introductionmentioning

confidence: 99%

“…Piao et al ( 2004 ) suggested that a power function between the annual NDVI max and AGB density could be established to accurately estimate the AGB of grassland in China. Wang et al ( 2021 ) have also constructed a power function to estimate AGB in the Tibetan Plateau marshes. Combined with ground-measured data, remote sensing is a useful tool for long-term monitoring of the AGB of ecosystems (Lumbierres et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Variation in Aboveground Biomass and Its Response to Climate Change in the Marsh of Sanjiang Plain

et al. 2022

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The Sanjiang Plain has the greatest concentration of freshwater marshes in China. Marshes in this area play a key role in adjusting the regional carbon cycle. As an important quality parameter of marsh ecosystems, vegetation aboveground biomass (AGB) is an important index for evaluating carbon stocks and carbon sequestration function. Due to a lack of in situ and long-term AGB records, the temporal and spatial changes in AGB and their contributing factors in the marsh of Sanjiang Plain remain unclear. Based on the measured AGB, normalized difference vegetation index (NDVI), and climate data, this study investigated the spatiotemporal changes in marsh AGB and the effects of climate variation on marsh AGB in the Sanjiang Plain from 2000 to 2020. Results showed that the marsh AGB density and annual maximum NDVI (NDVImax) had a strong correlation, and the AGB density could be accurately calculated from a power function equation between NDVImax and AGB density (AGB density = 643.57 × NDVImax4.2474). According to the function equation, we found that the AGB density significantly increased at a rate of 2.47 g·C/m2/a during 2000–2020 in marshes of Sanjiang Plain, with the long-term average AGB density of about 282.05 g·C/m2. Spatially, the largest increasing trends of AGB were located in the north of the Sanjiang Plain, and decreasing trends were mainly found in the southeast of the study area. Regarding climate impacts, the increase in precipitation in winter could decrease the marsh AGB, and increased temperatures in July contributed to the increase in the marsh AGB in the Sanjiang Plain. This study demonstrated an effective approach for accurately estimating the marsh AGB in the Sanjiang Plain using ground-measured AGB and NDVI data. Moreover, our results highlight the importance of including monthly climate properties in modeling AGB in the marshes of the Sanjiang Plain.

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“…Precipitation is a main part in the Earth's hydrological cycle and atmospheric circulation [1][2][3][4]. Changes of precipitation have important impacts on water safety, social economy, ecosystem, and environment [5][6][7][8][9]. Increases in precipitation probably cause more floods, while decreases in precipitation could enhance risks of drought.…”

Section: Introductionmentioning

confidence: 99%

Observed Changes of Rain-Season Precipitation in China from 1960 to 2018

Zhang

Zang

Shen

et al. 2021

IJERPH

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Precipitation during the main rain season is important for natural ecosystems and human activities. In this study, according to daily precipitation data from 515 weather stations in China, we analyzed the spatiotemporal variation of rain-season (May–September) precipitation in China from 1960 to 2018. The results showed that rain-season precipitation decreased over China from 1960 to 2018. Rain-season heavy (25 ≤ p < 50 mm/day) and very heavy (p ≥ 50 mm/day) precipitation showed increasing trends, while rain-season moderate (10 ≤ p < 25 mm/day) and light (0.1 ≤ p < 10 mm/day) precipitation showed decreasing trends from 1960 to 2018. The temporal changes of precipitation indicated that rain-season light and moderate precipitation displayed downward trends in China from 1980 to 2010 and rain-season heavy and very heavy precipitation showed fluctuant variation from 1960 to 2018. Changes of rain-season precipitation showed clear regional differences. Northwest China and the Tibetan Plateau showed the largest positive trends of precipitation amount and days. In contrast, negative trends were found for almost all precipitation grades in North China Plain, Northeast China, and North Central China. Changes toward drier conditions in these regions probably had a severe impact on agricultural production. In East China, Southeast China and Southwest China, heavy and very heavy precipitation had increased while light and moderate precipitation had decreased. This result implied an increasing risk of flood and mudslides in these regions. The advance in understanding of precipitation change in China will contribute to exactly predict the regional climate change under the background of global climate change.

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Spatiotemporal change of aboveground biomass and its response to climate change in marshes of the Tibetan Plateau

Cited by 21 publications

References 59 publications

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Spatiotemporal Variation in Aboveground Biomass and Its Response to Climate Change in the Marsh of Sanjiang Plain

Observed Changes of Rain-Season Precipitation in China from 1960 to 2018

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