Advances in application of climate prediction in agriculture
By Graeme L. Hammer, James Hansen, J. Phillips, J. Mjelde, Harvey Hill, A. Love, A. Potgieter. 2001
271 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, General Agricultural and Biological Sciences, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7e19893d7453c6aeff843dd195c0c0fca8a5ebd2
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In Ecology, Evolution, Behavior and Systematics
In General Agricultural and Biological Sciences
In Global and Planetary Change
Citations in the corpus
- Countering the Loading-Dock Approach to Linking Science and Decision Making (2006, background): “Exploring constraints as well through in-depth survey techniques, Phillips and her colleagues (2001) cite not only gaps in credibility between indigenous forms of knowledge and new forms produced by the emerging climate-science community but also constraints on credit, seed availability, and other f”
- Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges (2002, background): “production or income) of viable decision options within the system being managed, not the climatic influences on those outcomes (Hammer et al., 2001).”
- Climate Services Can Support African Farmers' Context-Specific Adaptation Needs at Scale (2019, background): “options crucial role in the early development of agricultural climate services in Australia (Hammer, 2000; Hammer et al., 2001; Nelson et al., 2002; Hochman et al., 2009).”
- Seasonal and Inter-Annual Climate Forecasting: The New Tool for Increasing Preparedness to Climate Variability and Change In Agricultural Planning And Operations (2005, background): “For the seasonal to inter-seasonal time scale, Keating andMeinke (1998), Stephens (1998), and Hammer et al. (2000) have shown how point-source and regionally based production models can be used to quantify exceptional circumstances and drought impacts.”