利用卫星和气象数据模拟Biebrza湿地的净生态系统交换

IF 0.6 Q3 GEOGRAPHY
K. Dąbrowska-Zielińska, K. Misiura, Alicja Malińska, P. Grzybowski, Radosław Gurdak, M. Bartold, Marcin Kluczek
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引用次数: 1

摘要

摘要利用地面观测和卫星资料对波兰Biebrza湿地的CO2通量进行了分析。本研究的主要目的是利用气象、土壤和植被参数以及卫星指标确定莎草、芦苇和禾本科的净生态系统交换(NEE)。这些计算是基于分散在主要栖息地的室测量和气象登记,并与2015-2022年的涡动相关方差(EC)测量结果进行比较。为了得到NEE模型在一天中的分布,我们使用模拟的初级生产总值GPP和模拟的呼吸RESP来阐述NEE模型。应用气温、土壤温度、土壤湿度和NDVI建立了生态系统呼吸模型。卫星植被指数NDVI、地空温差(TS-TA)和NDII对日平均GPP具有较好的预测效果。EC塔的数据用于比较模拟NEE和CO2通量的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling Net Ecosystem Exchange in the Biebrza Wetlands using satellite and meteorological data
Abstract The CO2 flux on Biebrza Wetlands in Poland is analysed by ground measurements and satellite data. The main goal of this study was to determine the Net Ecosystem Exchange (NEE) for sedges, reeds and grasses using meteorological, soil and vegetation parameters and satellite indicators. The calculations are based on chamber measurements scattered over the main habitats and meteorological registrations, and compared to the 2015–2022 eddy covariance (EC) measurements. The NEE model, to get its distribution throughout the day, was elaborated using modelled gross primary production GPP and modelled respiration RESP. The model of ecosystem respiration was developed applying air temperature, soil temperature, soil moisture and NDVI. The satellite vegetation index NDVI, surface and air difference temperature (TS-TA), and NDII proved to be good predictors for the daily mean GPP. The data from the EC tower was used to compare the results from modelled NEE and CO2 flux.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
21
审稿时长
14 weeks
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