Environmental and human influences on organic carbon fractions down the soil profile

被引:58
作者
Hobley, Eleanor U. [1 ,4 ]
Baldock, Jeff [2 ]
Wilson, Brian [1 ,3 ]
机构
[1] Univ New England, Armidale, NSW, Australia
[2] CSIRO Agr, Urrbrae, SA, Australia
[3] New South Wales Off Environm & Heritage, Armidale, NSW, Australia
[4] Tech Univ Munich, D-85354 Weihenstephan, Germany
关键词
Land-use; Climate; Machine learning; RandomForests; Gradient boosting machines; Multiplicative adaptive regression splines; PARTICLE-SIZE FRACTIONS; NEW-SOUTH-WALES; VERTICAL-DISTRIBUTION; MATTER; FOREST; CLIMATE; STORAGE; STABILIZATION; STABILITY; CHEMISTRY;
D O I
10.1016/j.agee.2016.03.004
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
We investigated the stability of whole profile soil organic carbon (SOC) based upon three mid-infrared predicted fractions - particulate organic carbon (POC), humus organic carbon (HOC) and resistant organic carbon (ROC) - at 100 sites across eastern Australia. Our aim was to identify the controls on SOC stability down the whole soil profile, in particular relating to climate, site and human influences. To do this we used three data-mining algorithms (randomForests, gradient boosting machines and multiplicative adaptive regression splines) to identify and assess the controls on the relative proportions of the three fractions down the soil profile. Depth was the key influence on all three fractions, with the proportion of POC decreasing, and the proportion of HOC carbon increasing with increasing depth. SOC was strongly linked with POC, suggesting that the soils in the region are input driven. HOC and ROC were controlled additionally by climate and soil physico-chemical properties (e.g. clay content, pH), with SOC being less important to these fractions. Human influences (land-use and management) were not important to the proportion of the fractions, implying that the controls humans can exert on SOC stability in these environments may be limited. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:152 / 166
页数:15
相关论文
共 58 条
[1]  
[Anonymous], 2014, R LANG STAT COMP
[2]   Ensemble forecasting of species distributions [J].
Araujo, Miguel B. ;
New, Mark .
TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (01) :42-47
[3]   Predicting contents of carbon and its component fractions in Australian soils from diffuse reflectance mid-infrared spectra [J].
Baldock, J. A. ;
Hawke, B. ;
Sanderman, J. ;
Macdonald, L. M. .
SOIL RESEARCH, 2013, 51 (7-8) :577-583
[4]   Quantifying the allocation of soil organic carbon to biologically significant fractions [J].
Baldock, J. A. ;
Sanderman, J. ;
Macdonald, L. M. ;
Puccini, A. ;
Hawke, B. ;
Szarvas, S. ;
McGowan, J. .
SOIL RESEARCH, 2013, 51 (7-8) :561-576
[5]   Role of the soil matrix and minerals in protecting natural organic materials against biological attack [J].
Baldock, JA ;
Skjemstad, JO .
ORGANIC GEOCHEMISTRY, 2000, 31 (7-8) :697-710
[6]   Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach [J].
Balshi, Michael S. ;
McGuirez, A. David ;
Duffy, Paul ;
Flannigan, Mike ;
Walsh, John ;
Melillo, Jerry .
GLOBAL CHANGE BIOLOGY, 2009, 15 (03) :578-600
[7]   Total carbon and nitrogen in the soils of the world [J].
Batjes, N. H. .
EUROPEAN JOURNAL OF SOIL SCIENCE, 2014, 65 (01) :10-21
[8]   Stability of elemental carbon in a savanna soil [J].
Bird, MI ;
Moyo, C ;
Veenendaal, EM ;
Lloyd, J ;
Frost, P .
GLOBAL BIOGEOCHEMICAL CYCLES, 1999, 13 (04) :923-932
[9]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[10]   METHODS FOR PHYSICAL SEPARATION AND CHARACTERIZATION OF SOIL ORGANIC-MATTER FRACTIONS [J].
CAMBARDELLA, CA ;
ELLIOTT, ET .
GEODERMA, 1993, 56 (1-4) :449-457