An interdisciplinary approach for studying greenhouse gases at the landscape scale

BK Sitaula; WS Warner; LR Bakken; K Hargreaves; L Klemedtsson; JIB Sitaula; Søren Christensen; Anders Priemé

An interdisciplinary approach for studying greenhouse gases at the landscape scale

BK Sitaula, WS Warner, LR Bakken, K Hargreaves, L Klemedtsson, JIB Sitaula, Søren Christensen, Anders Priemé

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

Udgivelsesdato: 1995

Originalsprog	Engelsk
Tidsskrift	Norwegian Journal of Agricultural Sciences
Vol/bind	9
Udgave nummer	3-4
Sider (fra-til)	189-209
Antal sider	21
ISSN	0801-5341
Status	Udgivet - 1995

Citationsformater

@article{f3ccec5012ca11ddbee902004c4f4f50,

title = " An interdisciplinary approach for studying greenhouse gases at the landscape scale",

abstract = "An experimental approach is described that examines the influence of landscape terrain and land use on fluxes of important greenhouse gases (CH4, N2O and CO2) in soil. The landscape is gridded into 'field' units (cells), and each cell is characterized. For example, a 500 X 500 m rolling landscape, consisting of forest and croplands, is gridded into 400 field units (25 X 25 m cells). Cell gridding and classification of the slope, elevation and land use are partially automated using photogrammetric techniques. An analytical plotter locates 400 sample points on (1:5000 scale) aerial photographs and issues X, Y ground coordinates, then determines elevation (Z), and computes slope for each cell. Through photo interpretation, each cell is classified bylandform, land use, and vegetation. These data are superimposed on soil maps. Each cell is classified by the soil characteristics that conceptually regulate the microbial processes and the gas fluxes in question (at proximal level). Geostatistics (e.g. semivariograms) allows examination of the spatial relationships of the factor(s) that control the gas fluxes in question. Based on the study's objective, appropriate cells can be statistically selected (identified) by an experimental designed (e.g. factorial). The gas fluxes and other soil and environmental factors of potential explanatory importance (e.g. NH4+, NO3-, C, N content of soil, soil moisture and temperature) should be measured simultaneously in selected cells. The number of sample measurements required within each cell depends on the methods of measurements and spatial variability of the variable in question.",

author = "BK Sitaula and WS Warner and LR Bakken and K Hargreaves and L Klemedtsson and JIB Sitaula and S{\o}ren Christensen and Anders Priem{\'e}",

year = "1995",

language = "English",

volume = "9",

pages = "189--209",

journal = "Norwegian Journal of Agricultural Sciences",

issn = "0801-5341",

publisher = "Norges landbruksh{\o}gskole",

number = "3-4",

}

TY - JOUR

T1 - An interdisciplinary approach for studying greenhouse gases at the landscape scale

AU - Sitaula, BK

AU - Warner, WS

AU - Bakken, LR

AU - Hargreaves, K

AU - Klemedtsson, L

AU - Sitaula, JIB

AU - Christensen, Søren

AU - Priemé, Anders

PY - 1995

Y1 - 1995

N2 - An experimental approach is described that examines the influence of landscape terrain and land use on fluxes of important greenhouse gases (CH4, N2O and CO2) in soil. The landscape is gridded into 'field' units (cells), and each cell is characterized. For example, a 500 X 500 m rolling landscape, consisting of forest and croplands, is gridded into 400 field units (25 X 25 m cells). Cell gridding and classification of the slope, elevation and land use are partially automated using photogrammetric techniques. An analytical plotter locates 400 sample points on (1:5000 scale) aerial photographs and issues X, Y ground coordinates, then determines elevation (Z), and computes slope for each cell. Through photo interpretation, each cell is classified bylandform, land use, and vegetation. These data are superimposed on soil maps. Each cell is classified by the soil characteristics that conceptually regulate the microbial processes and the gas fluxes in question (at proximal level). Geostatistics (e.g. semivariograms) allows examination of the spatial relationships of the factor(s) that control the gas fluxes in question. Based on the study's objective, appropriate cells can be statistically selected (identified) by an experimental designed (e.g. factorial). The gas fluxes and other soil and environmental factors of potential explanatory importance (e.g. NH4+, NO3-, C, N content of soil, soil moisture and temperature) should be measured simultaneously in selected cells. The number of sample measurements required within each cell depends on the methods of measurements and spatial variability of the variable in question.

AB - An experimental approach is described that examines the influence of landscape terrain and land use on fluxes of important greenhouse gases (CH4, N2O and CO2) in soil. The landscape is gridded into 'field' units (cells), and each cell is characterized. For example, a 500 X 500 m rolling landscape, consisting of forest and croplands, is gridded into 400 field units (25 X 25 m cells). Cell gridding and classification of the slope, elevation and land use are partially automated using photogrammetric techniques. An analytical plotter locates 400 sample points on (1:5000 scale) aerial photographs and issues X, Y ground coordinates, then determines elevation (Z), and computes slope for each cell. Through photo interpretation, each cell is classified bylandform, land use, and vegetation. These data are superimposed on soil maps. Each cell is classified by the soil characteristics that conceptually regulate the microbial processes and the gas fluxes in question (at proximal level). Geostatistics (e.g. semivariograms) allows examination of the spatial relationships of the factor(s) that control the gas fluxes in question. Based on the study's objective, appropriate cells can be statistically selected (identified) by an experimental designed (e.g. factorial). The gas fluxes and other soil and environmental factors of potential explanatory importance (e.g. NH4+, NO3-, C, N content of soil, soil moisture and temperature) should be measured simultaneously in selected cells. The number of sample measurements required within each cell depends on the methods of measurements and spatial variability of the variable in question.

M3 - Journal article

SN - 0801-5341

VL - 9

SP - 189

EP - 209

JO - Norwegian Journal of Agricultural Sciences

JF - Norwegian Journal of Agricultural Sciences

IS - 3-4

ER -