Impact of seasonal water-level fluctuations on autumn vegetation in Poyang Lake wetland, China

Dai, Xue; Wan, Rongrong; Gao, Yang; Wang, Xiaolong; Xu, Ligang; Li, Yanyan; Li, Bing

doi:10.1007/s11707-018-0731-y

Cited by 27 publications

(21 citation statements)

References 41 publications

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“…Specifically, over 80% of its vegetated area is covered by Carex spp., and the left 20% is mainly covered by Phragmites spp. (You et al, 2017;Dai et al, 2019). In the flood seasons, almost all floodplains are inundated, and the coverage area of the water surface reaches more than 3,000 km 2 .…”

Section: Study Areamentioning

confidence: 99%

Role of Flooding Patterns in the Biomass Production of Vegetation in a Typical Herbaceous Wetland, Poyang Lake Wetland, China

Dai

Gao

2020

Front. Plant Sci.

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Flooding is an important factor influencing the biomass production of vegetation in natural wetland ecosystems. However, how biomass production is linked to flooding patterns in wetland areas remains unclear. We utilized gauging station data, a digital elevation model, vegetation survey data, and a Landsat 8 image to study the effects of average inundation depth (AID) and inundation duration (IDU) of flooding on end-ofseason biomass of vegetation in Poyang Lake wetland, in particular, after operation of Three Gorges Dam. The end-of-season biomass of wetland vegetation showed Gaussian distributions along both the AID and IDU gradients. The most favorable flooding conditions for biomass production of vegetation in the wetland had an AID ranging from 3.9 to 4.0 m and an IDU ranging from 39% to 41%. For sites with a lower AID (<3.9 m; IDU < 39%), the end-of-season biomass values were positively related, whereas for sites with a higher AID (4.0 m; IDU > 41%), the end-of-season biomass values were negatively related. After the operation of the Three Gorges Dam, flooding patterns characterized by AID and IDU of the Poyang Lake wetland were significantly alleviated, resulting in a mixed changing trend of vegetation biomass across the wetland. Compared with 1980-2002, the increase of end-of-season biomass in lower surfaces caused by the alleviated flooding pattern far exceeded the decrease of endof-season biomass in higher surfaces, resulting in an end-of-season biomass increase of 1.0%-6.7% since 2003. These results improved our understanding of the production trends of vegetation in the wetland and provided additional scientific guidance for vegetation restoration and wetland management in similar wetlands.

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Section: Study Areamentioning

confidence: 99%

Role of Flooding Patterns in the Biomass Production of Vegetation in a Typical Herbaceous Wetland, Poyang Lake Wetland, China

Dai

Gao

2020

Front. Plant Sci.

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“…and emergent aquatic vegetation (composed mainly by Carex spp. ), colonize the lake borders at various elevations (Figure 1c) [26,27].…”

Section: Study Areamentioning

confidence: 99%

“…On a regional scale, most satellite data-driven models are based on ecophysiological processes in terrestrial environments (forests and farmlands) [11,12,[14][15][16][17]. Thus, these models cannot assess the key factors, such as the hydraulic forces of flooding and drawdown, which control the carbon cycle of wetland vegetation [26,27]. Additionally, the rapid changes in biomass carbon stocks in herbaceous wetlands have limited the practical use of current remote sensing-based regression models [21][22][23] because they utilize only small amounts of VI images acquired during specific periods throughout the growing season.…”

Section: Introductionmentioning

confidence: 99%

Vegetation Carbon Sequestration Mapping in Herbaceous Wetlands by Using a MODIS EVI Time-Series Data Set: A Case in Poyang Lake Wetland, China

2020

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The carbon sequestration capacity of wetland vegetation determines carbon stocks and changes in wetlands. However, modeling vegetation carbon sequestration of herbaceous wetlands is still problematic due to complex hydroecological processes and rapidly changing biomass carbon stocks. Theoretically, a vegetation index (VI) time series can retrieve the dynamic of biomass carbon stocks and could be used to calculate the cumulative composite of biomass carbon stocks during a given interval, i.e., vegetation carbon sequestration. Hence, we explored the potential for mapping vegetation carbon sequestration in herbaceous wetlands in this study by using a combination of remotely sensed VI time series and field observation data. This method was exemplarily applied for Poyang Lake wetland in 2016 by using a 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) time series. Results show that the vegetation carbon sequestration in this area was in the range of 193–1221 g C m−2 year−1 with a mean of 401 g C m−2 year−1 and a standard deviation of 172 g C m−2 year−1 in 2016. The approach has wider spatial applicability in wetlands than the currently used global map of vegetation production (MOD17A3) because our carbon estimation in areas depicted by ‘no data’ in the MOD17A3 product is considerable, which accounts for 91.2–91.5% of the total vegetation carbon sequestration of the wetland. Thus, we determined that VI time series data shows great potential for estimating vegetation carbon sequestration in herbaceous wetlands, especially with the continuously improving quality and frequency of satellite VI images.

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“…Surprisingly, previous studies testing the effects of groundwater level on plant growth were mostly conducted during few months and during one growing season only ( e.g., Hanke, Ludewig, & Jensen, ; Kotowski et al, ; Li et al, ). Climatic parameters like temperature and precipitation can strongly vary across the seasons (Xu et al, ) and some previous studies reported that the main hydrologic factors for plant growth and vegetation distribution differ between spring and autumn (Dai et al, ; Runhaar et al, ). However, to our knowledge, the extent to which variations in groundwater level could affect plant parameters during distinct plant growing periods ( i.e., spring vs. autumn) in relation to varying meteorological conditions remains poorly studied.…”

Section: Introductionmentioning

confidence: 99%

“…Seasonal and annual climatic variations, along with hydrological fluctuations, can induce distinct plant responses to groundwater level (Dai et al, 2019;Runhaar et al, 1997) with cascading effect on vegetation distribution (Yuan, Wang, et al, 2017a). Thus, plant survival and growth under the same water level condition are not necessarily consistent at different seasons (Steed & DeWald, 2003).…”

Section: Introductionmentioning

confidence: 99%

Seasonal variability of groundwater level effects on the growth of Carex cinerascens in lake wetlands

Feng

Mariotte

et al. 2019

Ecology and Evolution

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Groundwater level is crucial for wetland plant growth and reproduction, but the extent of its effect on plant growth can vary along with changed precipitation and temperature at different seasons. In this context, we investigated the effect of two groundwater levels (10 cm vs. 20 cm depth) on growth and reproductive parameters of Carex cinerascens, a dominant plant species in the Poyang Lake wetland, during three seasons (spring, summer, and autumn) and during two consecutive years (2015 and 2016). Carex cinerascens showed low stem number, height, and individual and population biomass in summer compared to spring and autumn. 10 cm groundwater level was overall more suitable for plant growth resulting in higher stem height and biomass. However, the interactive effect between groundwater level and season clearly demonstrated that the effect of groundwater level on plant growth occurred mainly in autumn. After the withering of the plant population in summer, we observed that C. cinerascens growth recovered in autumn to similar values observed in spring only with 10 cm groundwater level. Consequently, we could deduce that lowering groundwater level in the studied Poyang Lake wetland will negatively impact C. cinerascens regeneration and growth particularly during the second growth cycle occurring in autumn. Additionally, our results showed that, independently of the season and groundwater level, population biomass of C. cinerascens was lower during drier year. Altogether, our findings suggest that water limitation due to both reduction in precipitation and decreased groundwater level during the year can strongly impact plant communities.

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Impact of seasonal water-level fluctuations on autumn vegetation in Poyang Lake wetland, China

Cited by 27 publications

References 41 publications

Role of Flooding Patterns in the Biomass Production of Vegetation in a Typical Herbaceous Wetland, Poyang Lake Wetland, China

Role of Flooding Patterns in the Biomass Production of Vegetation in a Typical Herbaceous Wetland, Poyang Lake Wetland, China

Vegetation Carbon Sequestration Mapping in Herbaceous Wetlands by Using a MODIS EVI Time-Series Data Set: A Case in Poyang Lake Wetland, China

Seasonal variability of groundwater level effects on the growth of Carex cinerascens in lake wetlands

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