Estimated effects of climate change on grassland production and legume content across southern Australia

Presentation


Moore, Andrew D. and Ghahramani, Afshin. 2013. "Estimated effects of climate change on grassland production and legume content across southern Australia." Michalk, David L., Millar, Geoffrey D., Badgery, Warwick B. and Broadfoot, Warwick B. (ed.) 22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities. Sydney, Australia 15 - 19 Sep 2013 Orange, Australia.
Paper/Presentation Title

Estimated effects of climate change on grassland production and legume content across southern Australia

Presentation TypePresentation
AuthorsMoore, Andrew D. (Author) and Ghahramani, Afshin (Author)
EditorsMichalk, David L., Millar, Geoffrey D., Badgery, Warwick B. and Broadfoot, Warwick B.
Journal or Proceedings TitleProceedings of the 22nd International Grassland Congress
Journal Citation2, pp. 1309-1310
Number of Pages2
Year2013
Place of PublicationOrange, Australia
ISBN9781742565439
9781742565422
Web Address (URL) of Paperhttp://www.internationalgrasslands.org/files/igc/publications/2013/proceedings-22nd-igc.pdf
Conference/Event22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities
Event Details
22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities
Event Date
15 to end of 19 Sep 2013
Event Location
Sydney, Australia
Abstract

Climate change is predicted to have a substantial negative effect on the productivity of grasslands across southern Australia (Moore & Ghahramani, this conference). We used the GRAZPLAN biophysical simulation models to assess several possible pasture, and genetic improvement adaptation options under SRES A2 scenario between 2016 and 2085. Simulations spanned five dimensions: space (25 representative locations), time, global circulation models (4 GCMs), livestock enterprise, and management (8 adaptation options). In the absence of adaptation, overall average profitability of livestock systems declined by 53%, 69%, and 86% at 2030, 2050 and 2070. Declines in profitability were greatest for locations at the dry margin of the farming zone. “Relative effectiveness” of adaptations evaluated by their recovery effect to return decline in income to a historical period of 1970-99. Increased soil fertility was the most effective adaptation option, with continent-wide relative effectiveness of 60%, 67% and 44% at 2030, 2050, and 2070. Increasing conception rates was the most effective genetic adaptation trialled (at 26% overall effectiveness) and confinement feeding in summer had an overall effectiveness of 22%. Adding Lucerne to the feedbase, removing annual legumes in an attempt to preserve ground cover and increasing livestock body size or fleece weight were less effective. At many locations (e.g., half in Merino ewe) it appears unlikely that a single adaptation can return profit to historical levels. Combinations of adaptations can be found to return most livestock systems to historical profitability or even higher at 2030 but by 2070 effectiveness of adaptations significantly decreases.

Keywordsclimate change adaptation, modelling, livestock, agricultural system, uncertainty
ANZSRC Field of Research 2020300205. Agricultural production systems simulation
300207. Agricultural systems analysis and modelling
Public Notes

c. 2013.

Byline AffiliationsCommonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q3q90/estimated-effects-of-climate-change-on-grassland-production-and-legume-content-across-southern-australia

  • 1508
    total views
  • 17
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Measuring and mapping excessive linear soil erosion features: rills and gullies
Kiani-Harchegani, Mahboobeh, Najafi, Saeed and Ghahramani, Afshin. 2021. "Measuring and mapping excessive linear soil erosion features: rills and gullies." Rodrigo-Comino, Jesus (ed.) Precipitation: earth surface responses and processes. Netherlands. Elsevier. pp. 419-438
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362
Pattern recognition describing spatio-temporal drivers of catchment classification for water quality
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240
Soil sensing and machine learning reveal factors affecting maize yield in the Mid-Atlantic USA
Kinoshita, Rintaro, Tani, Masayuki, Sherpa, Sonam, Ghahramani, Afshin and van Es, Harold. 2023. "Soil sensing and machine learning reveal factors affecting maize yield in the Mid-Atlantic USA." Agronomy Journal. 115 (1), pp. 181-196. https://doi.org/10.1002/agj2.21223
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534
Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj and Tuteja, Narendra. 2022. "Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data." Science of the Total Environment. 809, pp. 1-15. https://doi.org/10.1016/j.scitotenv.2021.151139
New double decomposition deep learning methods for river water level forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722
Final Technical Report: Economics of soil practices adoption in the northern region
Cockfield, Geoff, Ghahramani, Afshin, An-Vo, Duc-Anh, Roberton, Stirling, Bennett, John and McKenzie, David. 2022. Final Technical Report: Economics of soil practices adoption in the northern region. Australia. GRDC.
The chaos in calibrating crop models: lessons learned from a multi-model calibration exercise
Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Hochman, Zvi, Gourdain, Emmanuelle, Andrianasolo, Fety, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dibari, Camilla, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Garcia, Cecile, Gayler, Sebastian, Ghahramani, Afshin, Hiremath, Santosh, Hoek, Steven, ..., Seidel, Sabine J.. 2021. "The chaos in calibrating crop models: lessons learned from a multi-model calibration exercise." Environmental Modelling and Software. 145. https://doi.org/10.1016/j.envsoft.2021.105206
A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil
Ghahramani, Afshin, Bennett, John McLean, Ali, Aram, Reardon-Smith, Kathryn, Dale, Glenn, Roberton, Stirling D. and Raine, Steven. 2021. "A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil." Sustainability. 13 (20), pp. 1-23. https://doi.org/10.3390/su132011267
Impact of roof rain water harvesting of runoff capture and household consumption
Meshram, Sarita Gajbhiye, Ilderomi, Ali Reza, Sepehri, Mehdi, Jahanbakhshi, Farshid, Kiani-Harchegani, Mahboobeh, Ghahramani, Afshin and Rodrigo-Comino, Jesus. 2021. "Impact of roof rain water harvesting of runoff capture and household consumption." Environmental Science and Pollution Research. 28 (36), pp. 49529-49540. https://doi.org/10.1007/s11356-021-14098-9
Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors
Ali, Aram, Bennett, John McL, Biggs, Andrew A. J., Marchuk, Alla and Ghahramani, Afshin. 2021. "Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors." Agricultural Water Management. 256, pp. 1-13. https://doi.org/10.1016/j.agwat.2021.107101
Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x
Assessment of drainage network analysis methods to rank sediment yield hotspots
Sepehri, Mehdi, Ghahramani, Afshin, Kiani-Harchegani, Mahboobeh, Ildoromi, Ali Reza, Talebi, Ali and Rodrigo-Comino, Jesus. 2021. "Assessment of drainage network analysis methods to rank sediment yield hotspots." Hydrological Sciences Journal. 66 (5), pp. 904-918. https://doi.org/10.1080/02626667.2021.1899183
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Gourdain, Emmanuelle, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dibari, Camilla, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Garcia, Cecile, Gayler, Sebastian, Ghahramani, Afshin, Hochman, Zvi, Hoek, Steven, Hoogenboom, Gerrit, Horan, Heidi, ..., Seidel, Sabine J.. 2021. "How well do crop modeling groups predict wheat phenology, given calibration data from the target population?" European Journal of Agronomy. 124, pp. 1-10. https://doi.org/10.1016/j.eja.2020.126195
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350
A review of measuring, assessing and mitigating heat stress in dairy cattle
Ji, Boyu, Banhazi, Thomas, Perano, Kristen, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "A review of measuring, assessing and mitigating heat stress in dairy cattle." Biosystems Engineering. 199, pp. 4-26. https://doi.org/10.1016/j.biosystemseng.2020.07.009
Modelling of heat stress in a robotic dairy farm. Part 4: Time constant and cumulative effects of heat stress
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 4: Time constant and cumulative effects of heat stress." Biosystems Engineering. 199, pp. 73-82. https://doi.org/10.1016/j.biosystemseng.2020.07.014
Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT
Rafiei, Vahid, Ghahramani, Afshin, An-Vo, Duc-Anh and Mushtaq, Shahbaz. 2020. "Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT." Water: an open access journal. 12 (8), pp. 2179-2206. https://doi.org/10.3390/w12082179
A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments
Ghahramani, Afshin, Freebairn, David M., Sena, Dipaka R., Cutajar, Justin L. and Silburn, David M.. 2020. "A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments." Environmental Modelling and Software. 130. https://doi.org/10.1016/j.envsoft.2020.104733
Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance." Biosystems Engineering. 199, pp. 58-72. https://doi.org/10.1016/j.biosystemseng.2020.02.006
Land use change in Australian mixed crop-livestock systems as a transformative climate change adaptation
Ghahramani, Afshin, Kingwell, Ross S. and Maraseni, Tek Narayan. 2020. "Land use change in Australian mixed crop-livestock systems as a transformative climate change adaptation." Agricultural Systems. 180. https://doi.org/10.1016/j.agsy.2020.102791
Challenges in estimating soil water
Freebairn, D. M. and Ghahramani, A.. 2018. "Challenges in estimating soil water." Hulugalle, Nilantha, Biswas, Tapas, Greene, Richard and Bacon, Peter (ed.) 2018 National Soil Science Conference. Canberra, Australia 18 - 23 Nov 2018 Bridgewater, SA, Australia.
Climate change impact, adaptation, and mitigation in temperate grazing systems: a review
Ghahramani, Afshin, Howden, S. Mark, del Prado, Agustin, Thomas, Dean T., Moore, Andrew D., Ji, Boyu and Ates, Serkan. 2019. "Climate change impact, adaptation, and mitigation in temperate grazing systems: a review." Sustainability. 11, pp. 1-30. https://doi.org/10.3390/su11247224
Modelling of heat stress in a robotic dairy farm. Part 2: identifying the specific thresholds with production factors
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 2: identifying the specific thresholds with production factors." Biosystems Engineering. 199, pp. 43-57. https://doi.org/10.1016/j.biosystemseng.2019.11.005
Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran
Ildoromi, Ali Reza, Sepehri, Mehdi, Malekinezhad, Hossein, Kiani-Harchegani, Mahboobeh, Ghahramani, Afshin, Hosseini, Seyed Zeynalabedin and Artimani, Mohammad Mehdi. 2019. "Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran." Physics and Chemistry of the Earth. 114, pp. 1-11. https://doi.org/10.1016/j.pce.2019.10.002
Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss." Biosystems Engineering. 199, pp. 27-42. https://doi.org/10.1016/j.biosystemseng.2019.11.004
Assessment of check dams’ role in flood hazard mapping in a semi-arid environment
Sepehri, Mehdi, Ildoromi, Ali Reza, Malekinezhad, Hossein, Ghahramani, Afshin, Ekhtesasi, Mohammad Reza, Cao, Chen and Kiani-Harchegani, Mahboobeh. 2019. "Assessment of check dams’ role in flood hazard mapping in a semi-arid environment." Geomatics, Natural Hazards and Risk. 10 (1), pp. 2239-2256. https://doi.org/10.1080/19475705.2019.1692079
Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region
Ghahramani, Afshin, An-Vo, Duc-Anh, Rochecouste, John, Mushtaq, Shahbaz, Roberton, Stirling, Bennett, John McLean and Cockfield, Geoff. 2018. Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region. Toowoomba, Australia. University of Southern Queensland.
Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report
Ghahramani, Afshin, Anderson, Roy and Doherty, Al. 2019. Developing HowLeaky platform for improved governance, facilitation of development, and open reproducible science: final report. Toowoomba, Australia. University of Southern Queensland.
Transformative and systemic climate change adaptations in mixed crop-livestock farming systems
Ghahramani, Afshin and Bowran, David. 2018. "Transformative and systemic climate change adaptations in mixed crop-livestock farming systems." Agricultural Systems. 164, pp. 236-251. https://doi.org/10.1016/j.agsy.2018.04.011
A tool for monitoring soil water using modelling, on-farm data, and mobile technology
Freebairn, D. M., Ghahramani, A., Robinson, J. B. and McClymont, D. J.. 2018. "A tool for monitoring soil water using modelling, on-farm data, and mobile technology." Environmental Modelling and Software. 104, pp. 55-63. https://doi.org/10.1016/j.envsoft.2018.03.010
Economic risk implication of land use change in mixed crop-livestock systems as transformative adaptation to climate change
Ghahramani, Afshin and Kokic, Philip. 2017. "Economic risk implication of land use change in mixed crop-livestock systems as transformative adaptation to climate change." 61st Annual Conference of the Australian Agricultural and Resource Economics Society (AARES 2017). Brisbane, Australia 07 - 10 Feb 2017 Brisbane, Australia.
Climate change impact and adaptation in agricultural systems of Australia and Brazil
Ghahramani, Afshin, Berndt, Alexandre, Cobon, David, Banhazi, Thomas and Ji, Boyu. 2017. "Climate change impact and adaptation in agricultural systems of Australia and Brazil." Parapinski, Marina, Carbonare, Maryon Strack Dalle and Schmidt, Patrick (ed.) 54th Annual Meeting of the Brazilian Society of Animal Science: A new View of Animal Science: Challenges and Perspectives. Foz do Iguacu, Brasil 24 - 28 Jun 2017 Foz do Iguacu, Brazil.
Food systems and climate change: impact and adaptation in cropping and livestock
Ghahramani, Afshin and Seneweera, Saman. 2018. "Food systems and climate change: impact and adaptation in cropping and livestock." Zeunert, Joshua and Waterman, Tim (ed.) Routledge handbook of landscape and food. Milton Park, United Kingdom. Routledge. pp. 271-277
Comparative analysis of climate change adaptation options across the southern Australian livestock industry
Ghahramani, Afshin and Moore, Andrew D.. 2013. "Comparative analysis of climate change adaptation options across the southern Australian livestock industry." Michalk, David L., Millar, Geoffrey D., Badgery, Warwick B. and Broadfoot, Warwick B. (ed.) 22nd International Grassland Congress: Revitalising Grasslands to Sustain Our Communities. Sydney, Australia 15 - 19 Sep 2013 Orange, Australia.
Modelling of lucerne (Medicago sativa L.) for livestock production in diverse environments
Smith, Andrew P., Moore, Andrew D., Boschma, Suzanne P., Hayes, Richard C., Nie, Zhongnan and Pembleton, Keith G.. 2017. "Modelling of lucerne (Medicago sativa L.) for livestock production in diverse environments." Crop and Pasture Science. 68 (1), pp. 74-91. https://doi.org/10.1071/CP16176
Climate change adaptation-mitigation tradeoffs in the southern Australian livestock industry: GHG emissions
Ghahramani, A. and Moore, A. D.. 2013. "Climate change adaptation-mitigation tradeoffs in the southern Australian livestock industry: GHG emissions." Piantadosi, J., Anderssen, R. S. and Boland, J. (ed.) 20th International Congress on Modelling and Simulation (MODSIM2013). Adelaide, Australia 01 - 06 Dec 2013 Australia. Modelling and Simulation Society of Australia and New Zealand .
Different response of soil and crop sequences to climate change in Western Australian mixed farm systems
Ghahramani, Afshin, Thomas, Dane S., Hayman, Peter T. and Moore, Andrew D.. 2015. "Different response of soil and crop sequences to climate change in Western Australian mixed farm systems." 17th Australian Agronomy Conference 2015: Building Productive, Diverse and Sustainable Landscapes (AAC 2015). Hobart, Australia 20 - 24 Sep 2015 Warragul, Australia.
Will modifying soil water holding capacity increase the resilience of southern Australian crop-livestock farms to climate change?
Thomas, D. S., Hayman, Peter and Ghahramani, Afshin. 2015. "Will modifying soil water holding capacity increase the resilience of southern Australian crop-livestock farms to climate change?" Weber, T., McPhee, M. J. and Anderssen, R. S. (ed.) 21st International Congress on Modelling and Simulation (MODSIM2015). Gold Coast, Australia 29 Nov - 04 Dec 2015 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Systemic adaptations to climate change in Western Australian mixed farm systems
Ghahramani, Afshin, Moore, Andrew, Crimp, Steven and Bowran, David. 2015. "Systemic adaptations to climate change in Western Australian mixed farm systems." Weber, T., McPhee, M. J. and Anderssen, R. S. (ed.) 21st International Congress on Modelling and Simulation (MODSIM2015). Gold Coast, Australia 29 Nov - 04 Dec 2015 Australia. Modelling and Simulation Society of Australia and New Zealand .
Quantifying drivers of crop-livestock integration
Ghahramani, Afshin, Thomas, Dean and Moore, Andrew. 2015. "Quantifying drivers of crop-livestock integration." National Farm Business Risk Forum: Grain & Graze - Profit Through Knowledge (2015). Perth, Australia 17 Aug 2015
Adapting the Australian grassland & livestock industry to climate change by systemic adaptation: value of adaptation at cross-regional scale
Ghahramani, Afshin, Moore, Andfrew, Crimp, Steven and Howden, Mark. 2014. "Adapting the Australian grassland & livestock industry to climate change by systemic adaptation: value of adaptation at cross-regional scale." 3rd International Climate Change Adaptation Conference: Adaptation Futures. Fortaleza/Ceará, Brazil 12 - 16 May 2014
Adapting the Australian livestock and wheat farms to climate change: value of adaptation at cross-regional scale
Ghahramani, A., Moore, A., Crimp, S. and Howden, M.. 2014. "Adapting the Australian livestock and wheat farms to climate change: value of adaptation at cross-regional scale." Livestock, Climate Change and Food Security Conference, 2014. Madrid, Spain 19 - 20 May 2014 Canberra, Australia.
Increasing soil fertility and altering legume-grass balance as adaptation strategies for sustainable livestock production under climate change
Ghahramani, Afshin and Moore, Andrew d.. 2012. "Increasing soil fertility and altering legume-grass balance as adaptation strategies for sustainable livestock production under climate change." 16th Australian Agronomy Conference: Capturing Opportunities and Overcoming Obstacles in Australian Agronomy (ASA 2012). Armidale, Australia 14 - 18 Oct 2012 Australia.
Climate change impact on Western Australian mixed farm systems
Ghahramani, Afshin, Moore, Andrew D., Crimp, Steven J. and Bowran, David. 2015. "Climate change impact on Western Australian mixed farm systems." 5th International Symposium for Farming Systems Design. Montpellier, France 07 - 10 Sep 2015
Slope length effect on sediment and organic litter transport on a steep forested hillslope: upscaling from plot to hillslope scale
Ghahramani, Afshin, Ishikawa, Yoshiharu and Gomi, Takashi. 2011. "Slope length effect on sediment and organic litter transport on a steep forested hillslope: upscaling from plot to hillslope scale." Hydrological Research Letters. 5, pp. 16-20. https://doi.org/10.3178/hrl.5.16
Field experiments constraining the probability distribution of particle travel distances during natural rainstorms on different slope gradients
Ghahramani, Afshin, Ishikawa, Yoshiharu and Mudd, Simon M.. 2012. "Field experiments constraining the probability distribution of particle travel distances during natural rainstorms on different slope gradients." Earth Surface Processes and Landforms. 37 (5), pp. 473-485. https://doi.org/10.1002/esp.2253
Impact of extreme climatic events on wheat productivity in South-West, Western Australia
Peck, Matthew and Ghahramani, Afshin. 2016. "Impact of extreme climatic events on wheat productivity in South-West, Western Australia." Climate Adaptation 2016: Change, Challenge, Opportunity. Adelaide, Australia 05 - 07 Jul 2016 Adelaide, Australia.
Climate change and broadacre livestock production across southern Australia. 3. Adaptation options via livestock genetic improvement
Moore, Andrew D. and Ghahramani, Afshin. 2014. "Climate change and broadacre livestock production across southern Australia. 3. Adaptation options via livestock genetic improvement." Animal Production Science. 54 (2), pp. 111-124. https://doi.org/10.1071/AN13052
Evaluating transformative adaptation options for Australian extensive farming – a cross-transect analyses of systemic adaptations - July 2016 supplementary report
Ghahramani, Afshin, Crimp, Steven, Moore, Andrew, Lau, Rex and Hopwood, Garry. 2016. Evaluating transformative adaptation options for Australian extensive farming – a cross-transect analyses of systemic adaptations - July 2016 supplementary report. Canberra, Australia. CSIRO Publishing.
Effect of ground cover on splash and sheetwash erosion over a steep forested hillslope: a plot-scale study
Ghahramani, Afshin, Ishikawa, Yoshiharu, Gomi, Takashi, Shiraki, Katsushige and Miyata, Shusuke. 2011. "Effect of ground cover on splash and sheetwash erosion over a steep forested hillslope: a plot-scale study." Catena. 85 (1), pp. 34-47. https://doi.org/10.1016/j.catena.2010.11.005
Downslope soil detachment–transport on steep slopes via rain splash
Ghahramani, Afshin, Ishikawa, Yoshiharu, Gomi, Takashi and Miyata, Shusuke. 2011. "Downslope soil detachment–transport on steep slopes via rain splash." Hydrological Processes. 25 (15), pp. 2471-2480. https://doi.org/10.1002/hyp.8086
Climate change and broadacre livestock production across southern Australia. 1. Impacts of climate change on pasture and livestock productivity, and on sustainable levels of profitability
Moore, Andrew and Ghahramani, Afshin. 2013. "Climate change and broadacre livestock production across southern Australia. 1. Impacts of climate change on pasture and livestock productivity, and on sustainable levels of profitability." Global Change Biology. 19 (5), pp. 1440-1455. https://doi.org/10.1111/gcb.12150
Water flux and sediment transport within a forested landscape: the role of connectivity, subsurface flow, and slope length scale on transport mechanism
Ghahramani, Afshin and Ishikawa, Yoshiharu. 2013. "Water flux and sediment transport within a forested landscape: the role of connectivity, subsurface flow, and slope length scale on transport mechanism." Hydrological Processes. 27 (26), pp. 4091-4102. https://doi.org/10.1002/hyp.9791
Sheep greenhouse gas emission intensities under different management practices, climate zones and enterprise types
Cottle, D. J., Harrison, M. T. and Ghahramani, A.. 2016. "Sheep greenhouse gas emission intensities under different management practices, climate zones and enterprise types." Animal Production Science. 56 (3), pp. 507-518. https://doi.org/10.1071/AN15327
Climate change impact and adaptation in temperate grassland and livestock industries
Ghahramani, Afshin and Moore, Andrew D.. 2015. "Climate change impact and adaptation in temperate grassland and livestock industries." 23rd International Grassland Congress: sustainable use of grassland resources for forage production, biodiversity and environmental protection (IGC 2015). New Delhi, India 20 - 24 Nov 2015 Jhansi, India.
Climate change and broadacre livestock production across southern Australia. 2. Adaptation options via grassland management
Ghahramani, Afshin and Moore, Andrew D.. 2013. "Climate change and broadacre livestock production across southern Australia. 2. Adaptation options via grassland management." Crop and Pasture Science. 64 (6), pp. 615-630. https://doi.org/10.1071/CP13195
Systemic adaptations to climate change in southern Australian grasslands and livestock: production, profitability, methane emission and ecosystem function
Ghahramani, Afshin and Moore, Andrew D.. 2015. "Systemic adaptations to climate change in southern Australian grasslands and livestock: production, profitability, methane emission and ecosystem function." Agricultural Systems. 133, pp. 158-166. https://doi.org/10.1016/j.agsy.2014.11.003
The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale
Ghahramani, Afshin, Kokic, Philip N., Moore, Andrew D., Zheng, Bangyou, Chapman, Scott C., Howden, Mark S. and Crimp, Steven J.. 2015. "The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale." Agriculture, Ecosystems and Environment. 211, pp. 112-125. https://doi.org/10.1016/j.agee.2015.05.011
Impact of climate changes on existing crop-livestock farming systems
Ghahramani, Afshin and Moore, Andrew D.. 2016. "Impact of climate changes on existing crop-livestock farming systems." Agricultural Systems. 146, pp. 142-155. https://doi.org/10.1016/j.agsy.2016.05.011