Effects of Temporal and Spatial Changes in Wetlands on Regional Carbon Storage in the Naoli River Basin, Sanjiang Plain, China

Dai, Xiaoyan; Wang, Yue; Li, X.; Wang, Kang; Jia, Zhenhong; Ni, Hongwei

doi:10.3390/land12071300

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…Wetlands play a significant role in the fixation and release of greenhouse gases like methane and carbon dioxide, and variations in their size have a direct impact on carbon stock fluctuations (Murray et al 2023;Zhou et al 2023) (Fluet-Chouinard et al 2023;Lu et al 2021). This shows that wetland reclamation caused a significant loss of soil carbon, and wetland restoration is becoming urgent (Spieles, 2022).…”

Section: Wetland Restoration Projectmentioning

confidence: 99%

Mechanisms for Carbon Stock Driving and Scenario Modeling in Typical Mountainous Watersheds of Northeastern China

Zhang,

Zhang

et al. 2023

Preprint

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Section: Wetland Restoration Projectmentioning

confidence: 99%

Mechanisms for Carbon Stock Driving and Scenario Modeling in Typical Mountainous Watersheds of Northeastern China

Zhang,

Zhang

et al. 2023

Preprint

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“…The Naoli River Basin, situated in Northeast China's Sanjiang Plain, stands as a critical hub for commodity grain production, playing a pivotal role in upholding China's food security [27,28]. Over the past four decades, owing to shifts in the grain market and policy dynamics, the region's grain production structure has undergone multiple adjustments.…”

Section: Introductionmentioning

confidence: 99%

Study on the Crop Suitability and Planting Structure Optimization in Typical Grain Production Areas under the Influence of Human Activities and Climate Change: A Case Study of the Naoli River Basin in Northeast China

Yin,

Wei

2023

Sustainability

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Optimizing crop planting structures under the influence of climate change and human activities is crucial for sustainable food production and global food security. Taking the Naoli River Basin in Northeast China as a case area, a machine learning model based on maximum entropy was used to explore the suitability distribution of crops under the influence of both environmental factors and human activities. The optimized planting structure strategies were tested in combination with future climate change. The results show that considering human activities can more accurately simulate crop suitability than considering only natural environmental factors. The suitable planting areas for maize, rice, and soybeans are 18,553.54 km2, 10,335.98 km2, and 5844.80 km2, respectively. Highly adapted areas for major crops are concentrated in the plain areas of the middle reaches of the river basin, rather than in populated areas, and there are overlaps among the suitable planting areas for each crop. The optimal crop distribution for the planting structure is to plant rice in the hydrophilic areas of the plain hinterland, soybeans in the plain hinterland farther from the water source, and corn in the peripheral plains and gently sloping mountainous areas. Human activities exerted a strong influence on the potential scatter of soybeans, while climate change had the most significant implications for maize. Future climate change may reduce the area of suitable crop zones, posing challenges to regional food production. It is necessary to reflect on how to rationally balance soil and water resources, as well as how to cope with climate change in the future.

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Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China

zhang,

Zhang

et al. 2023

Preprint

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Watershed ecosystems play a pivotal role in maintaining the global carbon cycle and reducing global warming by serving as vital carbon reservoirs for sustainable ecosystem management. In this study, we based on the "quantity-mechanism-scenario" frameworks to evaluate carbon stocks in mid to high latitudes alpine watersheds in China and explored the mechanisms of climate change and land use influence on the ability of watershed ecosystems to store carbon. The results showed that the carbon stock of the watershed increased by about 15.9 Tg from 1980 to 2020. Vegetation, precipitation, land-use change, and economic production have the strongest explanatory power for carbon stocks. Under different climate scenarios, it was found that the SSP2-4.5 scenario had a significant rise in carbon stock from 2020 to 2050, roughly 24.1 Tg. This increase was primarily observed in the southeastern region of the basin, with forest and grassland effectively protected. Conversely, according to the SSP5-8.5 scenario, the carbon stock would decrease by about 50.53 Tg with the expansion of cultivated and construction land in the basin's southwest part. Therefore, given the vulnerability of mid to high latitudes mountain watersheds, global warming trends continue to pose a greater threat to carbon sequestration in watersheds. Our findings carry important implications for tackling potential ecological threats in mid to high latitudes watersheds in the Northern Hemisphere and assisting policymakers in creating carbon sequestration plans, as well as for reducing climate change.

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Effects of Temporal and Spatial Changes in Wetlands on Regional Carbon Storage in the Naoli River Basin, Sanjiang Plain, China

Cited by 3 publications

References 31 publications

Mechanisms for Carbon Stock Driving and Scenario Modeling in Typical Mountainous Watersheds of Northeastern China

Mechanisms for Carbon Stock Driving and Scenario Modeling in Typical Mountainous Watersheds of Northeastern China

Study on the Crop Suitability and Planting Structure Optimization in Typical Grain Production Areas under the Influence of Human Activities and Climate Change: A Case Study of the Naoli River Basin in Northeast China

Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China

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