Ecosystem productivity and carbon dynamics in Keibul Lamjao National Park, Manipur, India: a gray relational analysis perspective

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Kambam Boxen Meetei, Meribeni Tsopoe, Girish Chandra, Debaaditya Mukhopadhyay, Krishna Giri
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Abstract

An in-depth understanding of carbon dynamics and ecosystem productivity is essential for conservation and management of different ecosystems. Ecosystem dynamics and carbon budget are assessed by estimating net ecosystem production (NEP) across different global ecosystems. An ecological productivity assessment of forest and floating meadow ecosystems in Keibul Lamjao National Park (KLNP), Manipur, North East India, was conducted using the multi-criteria decision-making process namely, gray relational analysis (GRA). The analysis was performed on 24 selected criterions classified either as “higher-the-better” or “lower-the-better” based on their degree of influence on the carbon budget. Floating meadows exhibited a higher production of aboveground and belowground biomass and a higher total mortality and decay. Furthermore, the study found that floating meadows exhibited a higher soil organic carbon (SOC) and net soil organic matter (SOM) than the forest ecosystem. The forest ecosystem showed higher total respiration (RT), heterotrophic respiration (RH), and autotrophic respiration (RA) than floating meadows. Floating meadows exhibited a higher net primary productivity (NPP) of 616.49 ± 33.87 gCm−2 year−1 than the forest ecosystem, which has a NPP of 566.64 ± 65.26 gCm−2 year−1. Similarly, floating meadows have higher NEP (495.25 ± 36.46 gCm−2 year−1) than forest ecosystems (418.39 ± 65.76 gCm−2 year−1). These characteristics have a significant influence on the carbon budget in floating meadows as compared to forest ecosystems, as shown by larger values of gray relational coefficient (GRC) in GRA. The floating meadows ecosystem (0.82) obtained 54.72% gain in gray relational grades (GRG) value with the forest ecosystem (0.53). This study might help in improving KLNP and other adjutant areas for conservation and management policies from the vital information given on the importance of wetlands in carbon dynamics and ecosystem productivity.

印度曼尼普尔Keibul Lamjao国家公园生态系统生产力和碳动态:灰色关联分析视角
深入了解碳动态和生态系统生产力对不同生态系统的保护和管理至关重要。通过估算全球不同生态系统的净生态系统产量(NEP)来评估生态系统动态和碳收支。采用灰色关联分析法(GRA)对印度东北部曼尼普尔邦Keibul Lamjao国家公园(KLNP)森林和浮草甸生态系统进行了生态生产力评价。对选定的24项标准进行了分析,这些标准根据其对碳预算的影响程度分为“越高越好”或“越低越好”。漂浮草甸地上和地下生物量产量较高,总死亡率和总腐烂率较高。漂浮草甸土壤有机碳(SOC)和净土壤有机质(SOM)均高于森林生态系统。森林生态系统的总呼吸(RT)、异养呼吸(RH)和自养呼吸(RA)均高于漂浮草甸。浮动草甸的净初级生产力(NPP)为616.49±33.87 gCm−2 year−1,高于森林生态系统的566.64±65.26 gCm−2 year−1。同样,浮动草甸的NEP(495.25±36.46 gCm−2年−1)高于森林生态系统(418.39±65.76 gCm−2年−1)。与森林生态系统相比,这些特征对漂浮草甸的碳收支有显著影响,GRA中的灰色关联系数(GRC)值较大。浮动草甸生态系统(0.82)比森林生态系统(0.53)的灰色关联度(GRG)值提高54.72%。本研究可能有助于从湿地在碳动态和生态系统生产力方面的重要性的重要信息中改善KLNP和其他辅助领域的保护和管理政策。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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