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植被组成和季节性对温带高位沼泽模型化 CO 交换敏感性的影响。

Impact of vegetation composition and seasonality on sensitivity of modelled CO exchange in temperate raised bogs.

机构信息

Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374, Müncheberg, Germany.

Thünen Institute of Climate-Smart Agriculture, Bundesallee 65A, 38116, Braunschweig, Germany.

出版信息

Sci Rep. 2024 May 14;14(1):11023. doi: 10.1038/s41598-024-61229-6.

DOI:10.1038/s41598-024-61229-6
PMID:38744922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11094101/
Abstract

Encroachment of vascular plants (VP) in temperate raised bogs, as a consequence of altered hydrological conditions and nutrient input, is widely observed. Effects of such vegetation shift on water and carbon cycles are, however, largely unknown and identification of responsible plant physiological traits is challenging. Process-based modelling offers the opportunity of gaining insights into ecosystem functioning beyond observations, and to infer decisive trait shifts of plant functional groups. We adapted the Soil-Vegetation-Atmosphere Transfer model pyAPES to a temperate raised bog site by calibration against measured peat temperature, water table and surface CO fluxes. We identified the most important traits determining CO fluxes by conducting Morris sensitivity analysis (MSA) under changing conditions throughout the year and simulated VP encroachment. We further investigated transferability of results to other sites by extending MSA to parameter ranges derived from literature review. We found highly variable intra-annual plant traits importance determining ecosystem CO fluxes, but only a partial shift of importance of photosynthetic processes from moss to VP during encroachment. Ecosystem respiration was dominated by peat respiration. Overall, carboxylation rate, base respiration rate and temperature sensitivity (Q) were most important for determining bog CO balance and parameter ranking was robust even under the extended MSA.

摘要

植被(VP)侵入温带高位沼泽,是由于水文条件和养分输入的改变所致。然而,这种植被变化对水碳循环的影响在很大程度上是未知的,并且确定相关植物生理特征具有挑战性。基于过程的建模提供了超越观测的机会,以深入了解生态系统功能,并推断植物功能群的决定性特征变化。我们通过对测量的泥炭温度、水位和地表 CO 通量进行校准,将土壤-植被-大气转移模型 pyAPES 适应于温带高位沼泽地。我们通过在全年的变化条件下进行莫里斯敏感性分析(MSA)来确定决定 CO 通量的最重要特征,并模拟 VP 入侵。我们通过将 MSA 扩展到文献综述中得出的参数范围,进一步研究了结果在其他地点的可转移性。我们发现,决定生态系统 CO 通量的年内植物特征变化很大,但在入侵过程中,只有光合作用过程的重要性从苔藓向 VP 部分转移。生态系统呼吸主要由泥炭呼吸决定。总体而言,羧化速率、基础呼吸速率和温度敏感性(Q)对确定沼泽 CO 平衡最重要,即使在扩展的 MSA 下,参数排名也很稳健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/d829079b7436/41598_2024_61229_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/ad2d1838e002/41598_2024_61229_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/c1fc34f4ba57/41598_2024_61229_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/d4693df083fa/41598_2024_61229_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/01c936676054/41598_2024_61229_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/3b6be7243913/41598_2024_61229_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/d829079b7436/41598_2024_61229_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/ad2d1838e002/41598_2024_61229_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/c1fc34f4ba57/41598_2024_61229_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/d4693df083fa/41598_2024_61229_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/01c936676054/41598_2024_61229_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/3b6be7243913/41598_2024_61229_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193b/11094101/d829079b7436/41598_2024_61229_Fig6_HTML.jpg

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