Upscaling of methane exchange in a boreal forest using soil chamber measurements and high-resolution LiDAR elevation data

被引:8
|
作者
Sundqvist, E. [1 ]
Persson, A. [1 ]
Kljun, N. [2 ,3 ]
Vestin, P. [1 ]
Chasmer, L. [4 ]
Hopkinson, C. [4 ]
Lindroth, A. [1 ]
机构
[1] Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
[2] Swansea Univ, Dept Geog, Swansea, W Glam, Wales
[3] Lund Univ, Dept Phys Geog & Ecosyst Sci, Ctr Studies Carbon Cycle & Climate Interact LUCCI, S-22362 Lund, Sweden
[4] Univ Lethbridge, Dept Geog, Lethbridge, AB T1K 3M4, Canada
基金
英国自然环境研究理事会; 瑞典研究理事会;
关键词
Methane (CH4) fluxes; Water table depth; Topographic wetness index; Soil moisture; Soil temperature; Methane consumption; CH4; FLUXES; GROUNDWATER LEVELS; TEMPERATE; OXIDATION; CONSUMPTION; MOISTURE; N2O; EMISSIONS; FERTILIZATION; CATCHMENT;
D O I
10.1016/j.agrformet.2015.09.003
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Forest soils are generally considered to be net sinks of methane (CH4), but CH4 fluxes vary spatially depending on soil conditions. Measuring CH4 exchange with chambers, which are commonly used for this purpose, might not result in representative fluxes at site scale. Appropriate methods for upscaling CH4 fluxes from point measurements to site scale are therefore needed. At the boreal forest research site, Norunda, chamber measurements of soils and vegetation indicate that the site is a net sink of CH4, while tower gradient measurements indicate that the site is a net source of CH4. We investigated the discrepancy between chamber and tower gradient measurements by upscaling soil CH4 exchange to a 100 ha area based on an empirical model derived from chamber measurements of CH4 exchange and measurements of soil moisture, soil temperature and water table depth. A digital elevation model (DEM) derived from high-resolution airborne Light Detection and Ranging (LiDAR) data was used to generate gridded water table depth and soil moisture data of the study area as input data for the upscaling. Despite the simplistic approach, modeled fluxes were significantly correlated to four out of five chambers with R>0.68. The upscaling resulted in a net soil sink of CH4 of -10 mu mol m(-2) h(-1), averaged over the entire study area and time period June-September, 2010). Our findings suggest that additional contributions from CH4 soil sources outside the upscaling study area and possibly CH4 emissions from vegetation could explain the net emissions measured by tower gradient measurements. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:393 / 401
页数:9
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