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RESEARCH ARTICLE
Contents Vol 45(11)

Using soil and climatic data to estimate the performance of trees, carbon sequestration and recharge potential at the catchment scale

R. J. Harper A B F , K. R. J. Smettem B C D and R. J. Tomlinson E
+ Author Affiliations
- Author Affiliations

A Forest Products Commission, Locked Bag 888, Perth Business Centre, Perth, WA 6849, Australia.

B CRC for Greenhouse Accounting GPO Box 475 Canberra, ACT 2601, Australia.

C CRC Plant Based Management of Dryland Salinity, Nedlands, WA 6907, Australia.

D Centre for Water Research, The University of Western Australia, Nedlands, WA 6907, Australia.

E Conservation and Land Management, Locked Bag 104, Bentley Delivery Centre, WA 6907, Australia.

F Corresponding author. Email: richardh@fpc.wa.gov.au

Australian Journal of Experimental Agriculture 45(11) 1389-1401 https://doi.org/10.1071/EA04186
Submitted: 30 August 2004  Accepted: 4 August 2005   Published: 16 December 2005

Abstract

There is considerable interest in integrating deep-rooted perennial plants into the dryland farming systems of southern Australia as soil, water supplies and biodiversity are continually threatened by salinity. In addition to wood products, trees could provide new products, such as bioenergy, environmental services, such as the sequestration of carbon, reductions in recharge to groundwater and biodiversity protection. Before marketing these services, it is necessary to determine the optimal distribution of trees across the landscape, in terms of land suitability, their productivity, and proximity to existing processing and transport infrastructure. Similarly, understanding how recharge varies across landscapes will allow the targeting of trees to areas where they are most needed for salinity control.

Catchment scale (1:100 000) soil and landform datasets are now available across much of the agricultural area of Australia. While these data are at a scale inappropriate for management at the enterprise (farm) scale, they will allow broad planning for new plant-based industries, such as whether there is sufficient suitable land available before embarking on a new enterprise and the likely productivity of that land. In this paper, we outline an approach that combines existing soil and landform data with estimates of climate to produce estimates of likely wood yield, carbon sequestration and potential for recharge to groundwater. Using the 283 686 ha Collie catchment of south-western Australia as an example, this analysis indicated broad areas where land is suitable for forestry, where forestry is unlikely to succeed, or where it was not required because leakage to groundwater is negligible. It also provides broad estimates of wood production and carbon sequestration. The approach is applicable to the integration of deep-rooted perennial plants into farming systems in other regions confronted with multiple natural resource management issues.

Additional keywords: forestry, industry development, land evaluation, pedotransfer functions, salinity.


Acknowledgments

We would like to thank Noel Schoknecht, Peter Tille, Heather Percy and Dennis van Gool of the Western Australian Department of Agriculture for access to the soil and landform datasets used in this paper.


References


Argent RM, George RJ (1997) Wattle — a water balance calculator for dryland salinity management. In ‘MODSIM 97, International congress on modelling and simulation’. (Eds AD McDonald, M McAleer) (University of Tasmania: Hobart)

Barrett DJ (2002) Steady state turnover time in the Australian terrestrial biosphere. Global Biogeochemical Cycles 16, 1108.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Bartle JR (2001) New perennial crops: Mallee eucalypts — a model, large scale perennial crop for the wheatbelt. In ‘Outlook 2001. Proceedings of the national agricultural and resources outlook conference, Canberra. Vol. 1. Natural Resources’. (Ed. A Wright) pp. 117–128. (ABARE: Canberra)

Bennett DL, George RJ (1995) Using the EM38 to measure the effect of soil salinity on Eucalyptus globulus in south-western Australia. Agricultural Water Management 27, 69–86.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Butler BE (1980) ‘Soil classification for soil survey.’ (Clarendon Press: Oxford)

Colwell JD (1963) The estimation of phosphorus fertiliser requirements of wheat in southern New South Wales by soil analysis. Australian Journal of Experimental Agriculture and Animal Husbandry 3, 190–197.
| Crossref | GoogleScholarGoogle Scholar | open url image1

ESRI (2001) ‘ArcGIS. v.8.3.’ (Environmental Systems Research Institute: Redlands, CA).

Gibbons FR (1961) Some misconceptions about what soil surveys can do. Journal of Soil Science 12, 96–100. open url image1

Gifford RM (2000) Carbon contents of above-ground tissues of forest and woodland trees. Australian Greenhouse Office, National Carbon Accounting System, Technical Report 22, Canberra.

Grierson PF, Williams K, Adams MA (2000) ‘Review of unpublished biomass-related information: Western Australia, South Australia, New South Wales and Queensland.’ Australian Greenhouse Office, National Carbon Accounting System, Technical Report 25, Canberra.

Gunn RH, Beattie JA, Riddler AMH, Lawrie RA (1988) Mapping. In ‘Australian soil and land survey handbook. Guidelines for conducting surveys’. (Eds RH Gunn, JA Beattie, RE Reid, RHM van de Graaff) pp. 90–112. (Inkata Press: Melbourne)

Harper RJ, Beck AC, Barrett DJ, Hill M, Ritson P, Tomlinson R, Mitchell C, Mann SS (2003) Opportunities for the Western Australian land management sector arising from greenhouse gas abatement. Report for the Western Australian Greenhouse Taskforce, brief. AGR131Q–02/03. Cooperative Research Centre for Greenhouse Accounting: Canberra.

Harper RJ, Gilkes RJ (2001) Some factors affecting the distribution of carbon in soils of a dryland agricultural system in southwestern Australia. In ‘Assessment methods for soil carbon pools’. (Eds R Lal, JM Kimble, RF Follett, BA Stewart) pp. 577–591. (Lewis Publishers: Boca Raton, FL)

Harper RJ, Hatton TJ, Crombie DS, Dawes WR, Abbott LK, Challen RP, House C (2000) Phase farming with trees: a scoping study of its potential for salinity control, soil quality enhancement and farm income improvement in dryland areas of southern Australia. Rural Industries Research and Development Corporation, RIRDC Publication No. 00/48, Canberra.

Harper RJ, Mauger G, Robinson N, McGrath JF, Smettem KRJ, Bartle JR, George RJ (2001) Manipulating catchment water balance using plantation and farm forestry: case studies from south-western Australia. In ‘Plantations, farm forestry and water’. (Eds EKS Nambiar, AG Brown) pp. 44–50. (Joint Venture Agroforestry Program: Canberra)

Harper RJ, Ryan PJ, Booth TH, McKenzie NJ, Gilkes RJ (In press) The Australian Farm Forestry Site Selection Manual. Rural Industries Research and Development Corporation, RIRDC Research Report Project CAL-4A, Canberra.

Harper RJ, Smettem KRJ, Bartle JR (1998) Blue gums: soil and climate requirements. In ‘Soilguide: a handbook for understanding and managing agricultural soils’. (Ed. G Moore) pp. 285–286. (Agriculture WA: Perth)

Hatton TJ, Dawes WR (2000) Biophysical simulation and interpretation of phase farming with trees. In ‘Phase farming with trees: a scoping study of its potential for salinity control, soil quality enhancement and farm income improvement in dryland areas of southern Australia’. (Eds RJ Harper, TJ Hatton, DS Crombie, WR Dawes, LK Abbott, RP Challen, C House) pp. 13–19. (Rural Industries Research and Development Corporation: Canberra)

Hodges T, Johnson SL, Johnston B (1992) A modular structure for crop simulation models: implemented in the SIMPOTATO model. Agronomy Journal 84, 911–915. open url image1

Ilic J, Boland D, McDonald M, Downes G, Blakemore P (2000) Woody density phase 1 — state of knowledge. Australian Greenhouse Office, National Carbon Accounting System Technical Report 18, Canberra.

Isbell RF (1988) Soil classification. In ‘Australian soil and land survey handbook. Guidelines for conducting surveys’. (Eds RH Gunn, JA Beattie, RE Reid, RHM van de Graaff) pp. 20–37. (Inkata Press: Melbourne)

Jaakko Pöyry Consulting (2001) ‘Workbook on land use, land use change and forestry (LULUCF) projects.’ (International Greenhouse Partnerships Office: Canberra).

Keighery G, Halse S, McKenzie N (2001) Why wheatbelt valleys are valuable and vulnerable: the ecology of wheatbelt valleys and threats to their survival. In ‘Dealing with salinity in wheatbelt valleys’. pp. 55–65. (Western Australian State Salinity Council: Merredin, WA)

Landsberg JJ, Waring RH (1997) A generalized model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 95, 209–229.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Littleboy M, Silburn DM, Freebairn DM, Woodruff DR, Hammer GL (1989) ‘PERFECT: a computer simulation model of productivity erosion runoff functions to evaluate conservation techniques.’ (Queensland Department of Primary Industries: Brisbane)

Mauger GW, Bari M, Boniecka L, Dixon RNM, Dogramaci SS, Platt J (2001) Salinity situation statement Collie River. Water Resources Commission, Water Resource Technical Report WRT 29.

McArthur WM (1991) ‘Reference soils of south-western Australia.’ (Australian Society of Soil Science Inc., WA Branch: Perth)

McDonald MG, Harbaugh AW (1988) A modular three-dimensional finite-difference ground-water flow model. U.S. Geological Survey, US Department of the Interior.

McMahon JP, Hutchinson MF, Nix HA, Ord KD (1996) ‘ANUCLIM version 1 user’s guide.’ (Centre for Resource and Environmental Studies, Australian National University: Canberra).

Mulcahy MJ (1967) Landscapes, laterites and soils in southwestern Australia. In ‘Landform studies from Australia and New Guinea’. (Eds JN Jennings, JA Mabbutt) pp. 211–230. (ANU Press: Canberra)

National Forest Inventory (2004) ‘National plantation inventory update — March 2004.’ (Bureau of Rural Sciences: Canberra).

National Land and Water Resources Audit (2001) ‘Australian dryland salinity assessment 2000. Extent, impacts, processes, monitoring and management options.’ (National Land and Water Resources Audit: Canberra).

Peck AJ, Hatton TJ (2003) Salinity and the discharge of salts from catchments in Australia. Journal of Hydrology 272, 191–202.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Peck AJ, Williamson DR (1987) (Eds) ‘Hydrology and salinity in the Collie River Basin, Western Australia.’ (Elsevier: Amsterdam)

Percy H (2000) Katanning land resources survey. Western Australian Department of Agriculture, Land Resources Series 16.

Polglase PJ, Paul KI, Khanna PK, Nyakuengama JG, O’Connell AM, Grove TS, Battaglia M (2000) Change in soil carbon following afforestation or reforestation. Australian Greenhouse Office, National Carbon Accounting System, Technical Report 20.

Pracilio G, Asseng S, Cook SE, Hodgson G, Wong MTF, Adams ML, Hatton TJ (2003) Estimating spatially variable deep drainage across a central-eastern wheatbelt catchment, Western Australia. Australian Journal of Soil Research 54, 789–802. open url image1

Raper GP, Guppy LM, Argent RM, George RJ (2001) Innovative use of simulation models in farm and catchment planning in Western Australia. In ‘Land degradation: papers selected from contributions to the sixth meeting of the International Geographical Union’s Commission on land degradation and desertification, Perth, Western Australia, 20–28 September 1999’. (Ed. AJ Conacher) pp. 319–331. (Kluwer Academic Publishers: Dordrecht)

Sands PJ, Battaglia M, Mummery D (2000) Application of process-based models to forest management: experience with PROMOD, a simple plantation productivity model. Tree Physiology 20, 383–392.
| PubMed |
open url image1

Schlamadinger B, Karjalainen T (2000) Afforestation, reforestation, and deforestation (ARD) activities. In ‘Land use, land-use change, and forestry’. (Eds RT Watson, IR Noble, B Bolin, NH Ravindranath, DJ Verardo, DJ Dokken) pp. 127–179. (Cambridge University Press: Cambridge)

Schofield NJ, Ruprecht JK, Loh IC (1988) The impact of agricultural development on the stream salinity of surface water resources of south-west Western Australia. Water Authority of Western Australia, Report WS 27.

Schoknecht N (2002) Soil groups of Western Australia. A simple guide to the main soils of Western Australia. Western Australian Department of Agriculture, Resource Management Technical Report 246.

Shea S (1998) Farming carbon. Landscope 14, 17–22. open url image1

Smettem KRJ, Farrington P, Rivasborge M, Harper RJ, Crombie DS, Williamson DR (1999a) Defining soil constraints to blue gum water use, growth and survival for managing groundwater recharge. Land and Water Resources Research and Development Corporation, Grant UWA 15, Final Report.

Smettem KRJ, Oliver YM, Heng LK, Bristow KL, Ford EJ (1999b) Obtaining soil hydraulic properties for water balance and leaching models from survey data. 2. Hydraulic conductivity. Australian Journal of Agricultural Research 50, 1259–1262.
| Crossref |
open url image1

Snowdon P, Eamus D, Gibbons P, Khanna P, Keith H, Raison J, Kirschbaum M (2000) Synthesis of allometrics, review of root biomass and design of future woody biomass sampling strategies. Australian Greenhouse Office, National Carbon Accounting System Technical Report 17, Canberra.

Stirzaker R, Vertessy R, Sarre A (2002) (Eds) ‘Trees, water and salt — an Australian guide to using trees for healthy catchments and productive farms.’ (Rural Industries Research and Development Corporation: Canberra)

Tille PJ (1996) Wellington-Blackwood land resources survey. Western Australian Department of Agriculture, Land Resources Series 14.

Wong MTF, Harper RJ (1999) Use of on-ground gamma-ray spectrometry to measure plant-available potassium and other topsoil attributes. Australian Journal of Soil Research 37, 267–277.