江苏滨海湿地典型生态系统碳储量的时空格局与机制

IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Rui Zhong , Lijie Pu , Jiayi Xie , Jiaming Yao , Lu Qie , Gaili He , Xiaoqing Wang , Rui Zhang , Jiahao Zhai , Zhongshun Gong , Yumeng Lu , Jiawei Tao , Jianguo Li , Sihua Huang
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引用次数: 0

摘要

滨海湿地具有较强的碳储存能力,对全球碳循环研究具有重要意义。为深入了解滨海湿地的碳储量及其机制,研究了江苏滨海湿地15个样点,包括芦苇、沙豆科植物、互花米草、泥滩和垦殖地5个典型生态系统。采用基于谷歌Earth Engine (GEE)和Sentinel-2A数据集的随机森林(RF)分类算法,准确识别江苏滨海湿地典型生态系统的时空演变特征。结果表明:江苏中南部沿海湿地芦苇、沙豆科植物和互花米草生态系统分布广泛,斑块连通性强,而北部湿地斑块相对破碎化;在此基础上,利用生活区分类并辅以野外实测,进一步发现碳总储量由2019年的18.43 ×106tC下降至2023年的16.59 ×106tC。总体趋势呈现出增加-减少-增加-减少的波动趋势,中部地区碳储量较高,南北地区碳储量较低。碳储量空间分布机制分析表明,江苏滨海湿地碳总储量主要受植被采收、农业活动(种植、耕作)、植被类型(地上生物量、根系深度)和土壤理化性质等人类活动的影响。其中,土壤碳库主要受土壤深度、全氮和NH4+-N的影响,而植被碳库主要受植被类型和土壤干物质含量的影响。这些方法和发现为加强滨海湿地的碳管理和制定政策以维持全球碳循环过程的平衡提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon storage in typical ecosystems of coastal wetlands in Jiangsu, China: Spatiotemporal patterns and mechanisms
Coastal wetlands have strong carbon storage capacity and are crucial for global carbon cycling research. To gain a detailed understanding of carbon storage and its mechanisms in coastal wetlands, we examined 15 sites in Jiangsu’s coastal wetlands, encompassing 5 typical ecosystems: Phragmites australis, Suaeda salsa, Spartina alterniflora, Mudflat, and Reclamation land. In this study, we used random forest (RF) classification algorithm based on Google Earth Engine (GEE) and Sentinel-2A dataset to accurately identify the spatiotemporal evolution of typical ecosystems in Jiangsu’s coastal wetlands. The results indicate that the Phragmites australis, Suaeda salsa, and Spartina alterniflora ecosystems are widely distributed in the central and southern of Jiangsu’s coastal wetlands, exhibiting strong patch connectivity, whereas patches in the north are relatively fragmented. On this basis, using the life-zone classification and supplemented by field measurements, the study further found that the total carbon storage decreased from 18.43 ×106tC in 2019 to 16.59 ×106tC in 2023. The overall trend exhibited a fluctuating trend of increase–decrease-increase–decrease, with higher carbon storage in the central region and lower levels in the north and south. Further exploration of the mechanisms on the spatial distribution of carbon storage revealed that the total carbon storage in Jiangsu’s coastal wetlands is primarily influenced by human activities such as vegetation harvesting, agricultural activities (planting, plowing), as well as inherent properties such as vegetation type (aboveground biomass, root depth) and soil physicochemical properties. Specifically, soil carbon pool is predominantly influenced by soil depth, total nitrogen, and NH4+-N, while vegetation carbon pool is primarily influenced by vegetation type and soil dry matter content. These methods and findings provide new insights for enhancing carbon management in coastal wetlands and formulating policies to maintain the balance of global carbon cycling processes.
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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