A5016508341- Pasture and Agricultural Systems
- Climate change impacts on agriculture
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Rangeland and Wildlife Management
- Ecology and Vegetation Dynamics Studies
- Ruminant Nutrition and Digestive Physiology
- Soil Carbon and Nitrogen Dynamics
- Rangeland Management and Livestock Ecology
- Bioenergy crop production and management
- Linguistic Variation and Morphology
- Plant responses to elevated CO2
- Fire effects on ecosystems
- Hydrology and Drought Analysis
- Soil Geostatistics and Mapping
- Language, Discourse, Communication Strategies
- Plant Taxonomy and Phylogenetics
- Agriculture Sustainability and Environmental Impact
- Forest Management and Policy
- Syntax, Semantics, Linguistic Variation
- Plant and animal studies
- Atmospheric and Environmental Gas Dynamics
- Insect-Plant Interactions and Control
- Agroforestry and silvopastoral systems
- Genetic and phenotypic traits in livestock
New South Wales Department of Primary Industries
2015-2024
Arizona State University
2020-2022
University of New England
2019
University of Leicester
2018-2019
University of Toronto
2013-2017
Commonwealth Scientific and Industrial Research Organisation
2000
University of Montana
1994
Michigan State University
1985
Abstract Overgrazing contributes to rangeland degradation altering plant community composition, erosion and biodiversity. Little unanimity in the literature exists on effects of livestock grazing soil carbon biodiversity, part, due uncontrolled pressure from native feral animals. Paired paddock contrasts at three, long‐term (>8 years) study locations southern Australian rangelands were used examine managing intensity through use exclusion fencing rotational organic (SOC), nitrogen (TN),...
Abstract Linked climate and crop simulation models are widely used to assess the impact of change on agriculture. However, it is unclear how ensemble configurations (model composition size) influence yield projections uncertainty. Here, we investigate influences modeling uncertainty from Global Gridded Crop Models Climate under future change. We performed a cluster analysis identify distinct groups members based their projected outcomes, revealing unique patterns in corresponding levels,...
Soil-based carbon farming has been identified in previous research as a win-win for farm productivity and the mitigation of climate change through sequestration. However, it faces numerous barriers to adoption, including low prices, high transaction costs, information uncertainty around future outcomes, markets policy conditions. Collaboration between landholders other stakeholders proposed potential means overcoming some these barriers, while maximising benefits soil-based farming. In this...
Drought is viewed as a naturally recurring phenomenon in many Australian agricultural systems. Identifying regional changes frequency and severity of drought induced by climate change required to develop regionally specific adaptation strategies. In this study, we provided first look at the impacts on 21st century characteristics over New South Wales wheat belt southeastern Australia. These were assessed from an ensemble 28 statistical downscaled global models under representative...
Carbon farming is a new land use option over extensive areas of the Australian rangelands. This change has been promoted by government incentives to mitigate climate change, with most Australia’s sector abatement date being delivered in Aside from these mitigation benefits, carbon also demonstrated potential co-benefits that enhance socio-ecological resilience diversifying uses and income streams, providing opportunities for sustainable management soil vegetation creating self-organisation...
In Australia, the proportion of forest area that burns in a typical fire season is less than for other vegetation types. However, 2019-2020 austral spring-summer was an exception, with over four times previous maximum burnt southeast Australian temperate forests. Temperate fires have extensive socio-economic, human health, greenhouse gas emissions, and biodiversity impacts due to high intensities. A robust model identifies driving factors relates impact thresholds activity at regional scales...
A risk-based approach is more meaningful to quantify the effects of drought on crop yield given randomness nature past events, compared deterministic approach. However, majority these probabilistic studies are conducted at national or global scale assess loss probability under conditions. There still a lack research combining droughts and yields in way local scale. Moreover, it unclear how threshold triggering conditional will vary dryland cropping regions. Here, we used wheat data from 66...