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土地利用和土地覆被对中国黄河三角洲土壤碳储量的影响:对湿地恢复和适应性管理的启示。

The effect of land use and land cover on soil carbon storage in the Yellow River Delta, China: Implications for wetland restoration and adaptive management.

机构信息

School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing, China; Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education, Shandong, China.

School of Ecology and Nature Conservation, Key Laboratory of Ecological Protection in the Yellow River Basin of National Forestry and Grassland Administration, Beijing Forestry University, Beijing, China; Nature Reserve Research Centre, National Forestry and Grassland Administration, Beijing, China.

出版信息

J Environ Manage. 2024 Sep;367:122097. doi: 10.1016/j.jenvman.2024.122097. Epub 2024 Aug 4.

DOI:10.1016/j.jenvman.2024.122097
PMID:39102784
Abstract

Gaining a comprehensive understanding of the effect of land use/land cover (LULC) and soil depth on soil carbon storage, through the manipulation of external carbon input and turnover processes, is crucial for accurate predictions of regional soil carbon storage. Numerous research investigations have been conducted to examine the impact of LULC on the storage and cycling of carbon in the surface soils of coastal wetlands. Nevertheless, there remains a dearth of understanding concerning the implications of this phenomenon on subterranean soils, a crucial factor in discerning the capacity for carbon sequestration in coastal wetlands and implementing measures for their preservation. The study focused on the Yellow River Delta (YRD) in China, which serves as a representative model system. It aimed to assess the impact of LULC as well as soil depth on carbon storage. This was achieved by a combination of remote sensing interpretation and field samplings. The findings of the study indicate that there was an increase in soil organic carbon storage with both the area covered and the depth of the soil across the four different land use types, namely forest, grass, tidal flat, and cultivated land. Cultivated land was identified as the predominant LULC type, encompassing 41.73% of the entire YRD. Furthermore, it accounted for a substantial carbon storage of 76.08%. In comparison to soil layers at depths of 0-20 cm and 20-40 cm, 40-60 cm was discovered to have the maximum carbon storage, accounting for 42.29% of total carbon storage. Furthermore, one of the main factors influencing carbon storage is salinity, which shows a negative association with carbon storage. Moreover, the aforementioned findings underscore the significance of the conjoined physical and chemical properties induced by LULC in influencing the dynamics of soil carbon. This suggests that the inclusion of deep soil carbon in the estimation and restoration of soil carbon storage is necessary. This inclusion will support the realization of the United Nations' "Toward Zero Carbon" effort and facilitate the implementation of China's national carbon neutrality objectives.

摘要

全面了解土地利用/土地覆盖(LULC)和土壤深度对土壤碳储存的影响,通过操纵外部碳输入和转化过程,对于准确预测区域土壤碳储存至关重要。许多研究调查了 LULC 对沿海湿地地表土壤碳储存和循环的影响。然而,对于这一现象对地下土壤的影响,人们仍然缺乏了解,而地下土壤是辨别沿海湿地碳固存能力和实施保护措施的关键因素。本研究以中国黄河三角洲(YRD)为典型模式系统,重点研究了 LULC 以及土壤深度对碳储存的影响。这是通过遥感解译和野外采样相结合来实现的。研究结果表明,四种不同土地利用类型(森林、草地、潮滩和耕地)的土地面积和土壤深度都增加了土壤有机碳储存。耕地被确定为主要的 LULC 类型,占整个 YRD 的 41.73%。此外,它还储存了大量的碳,占 76.08%。与 0-20cm 和 20-40cm 土壤层相比,40-60cm 土层的碳储量最大,占总碳储量的 42.29%。此外,影响碳储存的一个主要因素是盐度,盐度与碳储存呈负相关。此外,上述发现强调了 LULC 引起的物理和化学性质的联合对土壤碳动态的影响。这表明在估计和恢复土壤碳储存时,需要将深层土壤碳纳入考虑范围。这将有助于实现联合国的“迈向零碳”目标,并为中国实现国家碳中和目标提供支持。

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