Effects of Different Vegetation Zones on CH4and N2O Emissions in Coastal Wetlands: A Model Case Study

Liu, Yuhong; Wang, Lixin; Bao, Shumei; Liu, Hua‐Min; Yu, Junbao; Shao, Hongbo; Ouyang, Yu; An, Shuqing

doi:10.1155/2014/412183

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…Correlation between N 2 O ux and soil temperature, pH, nitrogen, organic carbon, salinity, carbon to nitrogen ration, and surface water level (n = 36) Some studies have shown that vegetation community affects N 2 O uxes from wetlands Liu et al (2014). showed that emissions of N 2 O from two vegetated coastal wetland zones, one dominated by Spatina spp.…”

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Nitrous Oxide Emission from a Flooded Tropical Wetland across a Vegetation and Land Use Gradient

Were

Hein

2021

Preprint

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Whereas wetland ecosystems are among the most vital natural carbon sinks, they are also important sources of nitrous oxide (N2O), a highly potent greenhouse gas. However, due to differences in wetland characteristics, N2O emission is likely to vary across wetland types. We investigated the: 1) influence of vegetation community (Typha latifolia; Typha, Phragmites mauritianus; Phragmites and Cyperus papyrus; Papyrus) in a natural tropical freshwater wetland, and 2) impact of converting a natural tropical freshwater wetland into a rice paddy wetland on N2O emission. Results showed that N2O emission (µg m− 2 h− 1) from the natural wetland did not vary significantly (p > 0.05) among the vegetation communities during both the dry and wet seasons (Typha = 0.6 ± 1.6 [SE] and 0.5 ± 1.4, Phragmites = 0.5 ± 1.7 and 0.4 ± 1.5, Papyrus = 0.5 ± 1.3 and 0.5 ± 1.5, respectively). These emission rates insignificantly differed (p > 0.05) from those recorded in the rice paddy wetland (dry season = 0.7 ± 2.8 and wet season = 0.6 ± 2.7). There was no significant correlation (p > 0.05) between soil physico-chemical characteristics and N2O emission. We concluded that vegetation community does not affect N2O emission from a natural tropical freshwater wetland under continuous flooding. Similarly, under continuous flooding and no fertilization conditions, converting a natural tropical freshwater wetland into a rice paddy wetland does not influence N2O emission. We roughly estimated total annual N2O emissions (T yr− 1) and their carbon dioxide equivalents (CO2e; T yr− 1) from all Uganda’s natural and rice paddy wetlands as: natural wetlands = 115.1 ± 342.8 (CO2e = 30,501.5 ± 90,842) and rice paddy wetlands = 0.9 ± 2.7 (CO2e = 242.5 ± 707.6).

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confidence: 99%

Nitrous Oxide Emission from a Flooded Tropical Wetland across a Vegetation and Land Use Gradient

Were

Hein

2021

Preprint

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“…First is the measurement of agricultural carbon emissions and their influencing factors. Agricultural carbon emissions are measured in various ways, including mass balance, measured value, modeling, and emission factor methods [16,17]. For example, some scholars [18] used the carbon emission factor method to measure carbon emissions and found that agriculture in Jiangsu Province has reached its peak and that the future low-carbon development of agriculture and the continuous decline in carbon emissions will help accelerate the achievement of the carbon neutrality target in Jiangsu Province.…”

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Study on the Evolution and Trends of Agricultural Carbon Emission Intensity and Agricultural Economic Development Levels—Evidence from Jiangxi Province

Liu

et al. 2022

Sustainability

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The study of the evolutionary patterns and trends of agricultural carbon emission intensity and agricultural economic development levels plays an important role in promoting the green and low-carbon sustainable development of agriculture. This paper adopts the carbon emission factor method to measure the agricultural carbon emissions in Jiangxi Province from 2001 to 2020, uses the LMDI decomposition method to explore the drivers of carbon emissions, and further analyzes the coupling relationship between agricultural carbon emissions and the agricultural economy using the Tapio decoupling model, based on which a GM (1,1) model is used to forecast the agricultural carbon emissions in Jiangxi Province from 2001 to 2015. According to the research results, agricultural carbon emissions in Jiangxi Province show a trend of “rising and then falling”, with the intensity decreasing; the level of economic development is the main factor that increases carbon emissions, while the efficiency of agricultural production, the size of the labor force, and the structure of agricultural production have positive effects in terms of reducing carbon emissions. How to reduce carbon emissions while promoting agricultural economic development is an issue that remains to be addressed in the future. Further analysis found that the decoupling states of Jiangxi Province from 2001 to 2009 switched between strong decoupling and weak decoupling, with weak decoupling dominating the years 2010–2015 and strong decoupling dominating from 2016 onwards. With the continuous promotion of carbon emission reduction, agricultural carbon emissions in Jiangxi Province will continue to show a decreasing trend over the next five years. Three policy recommendations are put forth in order to advance the effort to reduce agricultural carbon emissions in Jiangxi Province: cultivating high-quality and low-carbon rice varieties, switching to green agricultural production, and coordinating the connection between economic growth and agricultural carbon emissions.

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“…Marín-Muñiz et al (2015) reported no significant difference in N 2 O emission from swamp and marsh wetlands with varying vegetation community types in Mexico. In Canada,Baskerville et al (2021) reported similar N 2 O emission rates across different vegetation communities in riparian zones along the Washington Creek.However, several other studies have reported different results Liu et al (2014). showed that emissions of N 2 O from two vegetated coastal wetland zones, one dominated by Spatina spp.…”

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Nitrous oxide emission from a flooded tropical wetland across a vegetation and land use gradient

Were

Hein

Kansiime

2023

Journal of Water and Climate Change

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This study investigated, using the closed chamber method, the influence of (1) vegetation community type (Typha latifolia, Cyperus papyrus and Phragmites mauritianus) in a natural tropical freshwater marsh wetland (marsh) and (2) conversion of a natural tropical freshwater marsh into a rice paddy wetland (rice paddy), on nitrous oxide (N2O) emission. Both the marsh and the rice paddy were continuously flooded, while the rice paddy was unfertilized. Average N2O emission from the marsh did not vary significantly (p > 0.05) among the vegetation communities, ranging from 0.5 to 0.6 μg m−2 h−1. Similarly, these N2O emission rates were not significantly different (p > 0.05) from that recorded in the rice paddy (0.7 ± 2.8 [SE] μg m−2 h−1). There was no significant correlation (p > 0.05) between environmental parameters and N2O emission. We concluded that vegetation community type does not affect N2O emission from natural tropical freshwater marshes under continuous flooding. Further, converting natural tropical freshwater marshes into continuously flooded and unfertilized rice paddies does not affect N2O emission but instead enhances carbon emission, as was depicted by the significantly lower (p > 0.05) soil organic carbon content in the rice paddy. In view of climate change mitigation, therefore, wetland management should give priority to the conservation/protection of natural wetlands.

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Effects of Different Vegetation Zones on CH₄and N₂O Emissions in Coastal Wetlands: A Model Case Study

Cited by 5 publications

References 29 publications

Nitrous Oxide Emission from a Flooded Tropical Wetland across a Vegetation and Land Use Gradient

Nitrous Oxide Emission from a Flooded Tropical Wetland across a Vegetation and Land Use Gradient

Study on the Evolution and Trends of Agricultural Carbon Emission Intensity and Agricultural Economic Development Levels—Evidence from Jiangxi Province

Nitrous oxide emission from a flooded tropical wetland across a vegetation and land use gradient

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