Carbon, Nitrogen, and Sulfur Elemental Fluxes in the Soil and Exchanges with the Atmosphere in Australian Tropical, Temperate, and Arid Wetlands

被引:6
作者
Pasut, Chiara [1 ]
Tang, Fiona H. M. [1 ]
Hamilton, David P. [2 ]
Maggi, Federico [1 ]
机构
[1] Univ Sydney, Sch Civil Engn, Lab Adv Environm Engn Res, Bld J05, Sydney, NSW 2006, Australia
[2] Griffith Univ, Australian Rivers Inst, Brisbane, Qld 4111, Australia
关键词
wetlands modeling; GHG; nutrient fluxes; Australia; C cycle; N cycle; S cycle; METHANE EMISSIONS; LITTER DECOMPOSITION; RAINFALL VARIABILITY; PRESENT STATE; OXIDE; CONSUMPTION; FLOODPLAIN; REGULATORS; SEDIMENTS; QUANTITY;
D O I
10.3390/atmos12010042
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Australian ecosystems, particularly wetlands, are facing new and extreme threats due to climate change, land use, and other human interventions. However, more fundamental knowledge is required to understand how nutrient turnover in wetlands is affected. In this study, we deployed a mechanistic biogeochemical model of carbon (C), nitrogen (N), and sulfur (S) cycles at 0.25 degrees x 0.25 degrees spatial resolution across wetlands in Australia. Our modeling was used to assess nutrient inputs to soil, elemental nutrient fluxes across the soil organic and mineral pools, and greenhouse gas (GHG) emissions in different climatic areas. In the decade 2008-2017, we estimated an average annual emission of 5.12 Tg-CH4, 90.89 Tg-CO2, and 2.34 x 10(-2) Tg-N2O. Temperate wetlands in Australia have three times more N2O emissions than tropical wetlands as a result of fertilization, despite similar total area extension. Tasmania wetlands have the highest areal GHG emission rates. C fluxes in soil depend strongly on hydroclimatic factors; they are mainly controlled by anaerobic respiration in temperate and tropical regions and by aerobic respiration in arid regions. In contrast, N and S fluxes are mostly governed by plant uptake regardless of the region and season. The new knowledge from this study may help design conservation and adaptation plans to climate change and better protect the Australian wetland ecosystem.
引用
收藏
页数:15
相关论文
共 66 条
[1]   Spatial and temporal variation of nitrous oxide and methane flux between subtropical mangrove sediments and the atmosphere [J].
Allen, Diane E. ;
Dalal, Ram C. ;
Rennenberg, Heinz ;
Meyer, Rikke Louise ;
Reeves, Steven ;
Schmidt, Susanne .
SOIL BIOLOGY & BIOCHEMISTRY, 2007, 39 (02) :622-631
[2]  
[Anonymous], 2014, MAR ECOL PROG SER
[3]   Tropical forests are a net carbon source based on aboveground measurements of gain and loss [J].
Baccini, A. ;
Walker, W. ;
Carvalho, L. ;
Farina, M. ;
Sulla-Menashe, D. ;
Houghton, R. A. .
SCIENCE, 2017, 358 (6360) :230-233
[4]   REVIEW AND ASSESSMENT OF METHANE EMISSIONS FROM WETLANDS [J].
BARTLETT, KB ;
HARRISS, RC .
CHEMOSPHERE, 1993, 26 (1-4) :261-320
[5]   Enhanced chemistry-climate feedbacks in past greenhouse worlds [J].
Beerling, David J. ;
Fox, Andrew ;
Stevenson, David S. ;
Valdes, Paul J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (24) :9770-9775
[6]   Methane oxidation in sediments of a floodplain wetland in south-eastern Australia [J].
Boon, PI ;
Lee, K .
LETTERS IN APPLIED MICROBIOLOGY, 1997, 25 (02) :138-142
[7]   Differential facilitative and competitive effects of a dominant macrophyte in grazed subtropical wetlands [J].
Boughton, Elizabeth H. ;
Quintana-Ascencio, Pedro F. ;
Bohlen, Patrick J. ;
Nickerson, David .
JOURNAL OF ECOLOGY, 2011, 99 (05) :1263-1271
[8]   Short- and Long-term Influence of Litter Quality and Quantity on Simulated Heterotrophic Soil Respiration in a Lowland Tropical Forest [J].
Brechet, Laetitia ;
Le Dantec, Valerie ;
Ponton, Stephane ;
Goret, Jean-Yves ;
Sayer, Emma ;
Bonal, Damien ;
Freycon, Vincent ;
Roy, Jacques ;
Epron, Daniel .
ECOSYSTEMS, 2017, 20 (06) :1190-1204
[9]   Maximum rooting depth of vegetation types at the global scale [J].
Canadell, J ;
Jackson, RB ;
Ehleringer, JR ;
Mooney, HA ;
Sala, OE ;
Schulze, ED .
OECOLOGIA, 1996, 108 (04) :583-595
[10]   Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates [J].
Ceriotti, G. ;
Tang, F. H. M. ;
Maggi, F. .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 34 (12) :2229-2244