Preface: Climate Predictions for Better Agricultural Risk Management

Meinke, Holger; Sivakumar, M. V. K.; Motha, Raymond P.; Nelson, Rohan

doi:10.1071/arv58n10_pr

Cited by 19 publications

(8 citation statements)

References 12 publications

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“…The recognition that adaptation research needs to include "bottom-up" approaches (Wilbanks 2005), at scales down to, and within, the household or farm management unit (Roberts and Hollander 1997;Meinke et al 2007;Thornton et al 2008;Heltberg, Siegel, and Jorgensen 2009) has led to new applications of social and cultural research methods and approaches (Bryant et al 2000) in developed world agriculture. These include questionnaires (Smit, McNabb, and Smithers 1996), focus groups (Brklacich et al 1997;Crimp et al 2006), and participatory approaches (Kelkar et al 2008).…”

Section: Climate Change Agriculture and Adaptationmentioning

confidence: 99%

A Fine-Grained Study of the Experience of Drought, Risk and Climate Change Among Australian Wheat Farming Households

Head

Atchison

Gates

et al. 2011

Annals of the Association of American Geographers

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Section: Climate Change Agriculture and Adaptationmentioning

confidence: 99%

A Fine-Grained Study of the Experience of Drought, Risk and Climate Change Among Australian Wheat Farming Households

Head

Atchison

Gates

et al. 2011

Annals of the Association of American Geographers

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“…Despite the potential benefits that seasonal climate forecasts offer in some regions and the relatively high awareness of them (as high as 75% of broad-acre farmers in Australia), only between 30-50% of land-holders are actively using them Hayman et al 2007;Meinke et al 2007;Cobon et al 2008). This apparent 'mismatch' between potential forecast benefit and grazier use is a grave concern since access to forecasting technology, information and expertise promises to significantly influence the capacity of climate-sensitive resource-users to cope and adapt to the challenges associated with climate change (McCrea et al 2005;Cinner et al 2009).…”

Section: Introductionmentioning

confidence: 97%

The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands

2010

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As the impacts of climate-change on resource-dependent industries manifest, there is a commensurate effort to identify and implement strategies to reduce them. Yet, even when useful knowledge and tools exist, there can be poor adoption of adaptation strategies. We examine the reasons behind sub-optimal adoption of seasonal climate forecasts by graziers for managing climate variability. We surveyed 100 graziers in north-east Queensland, Australia and examined the influence of adaptive capacity, resource-dependency and forecast-perception on uptake. Technical perceptions were not important. Strategic skills, environmental awareness and social capital were. Results suggest that social factors (but not technical factors) are significant. These insights are important for adaptation planning and for maximising the resilience of communities and industries dependent on climate-sensitive resources.

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“…In developed country agriculture, strategies to enable farmers to better understand and manage risks (in particular climate‐related risks) associated with input use have been shown to greatly assist in this transition (Hochman et al, 2009b). In developing country agriculture, particularly in Africa, this pathway is more complex than simply improved knowledge supporting a farmer's decision to take on higher risks (Meinke et al, 2006). In many situations, the input/output markets are poorly developed or distorted to the point that even very modest inputs that could be highly effective have not been possible (Rohrbach, 1998).…”

Section: Examples Of Current Eco‐efficiencies In Agriculturementioning

confidence: 99%

Eco‐efficient Agriculture: Concepts, Challenges, and Opportunities

et al. 2010

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Eco‐efficiency in the simplest of terms is about achieving more with less—more agricultural outputs, in terms of quantity and quality, for less input of land, water, nutrients, energy, labor, or capital. The concept of eco‐efficiency encompasses both the ecological and economic dimensions of sustainable agriculture. Social and institutional dimensions of sustainability, while not explicitly captured in eco‐efficiency measures, remain critical barriers and opportunities on the pathway toward more eco‐efficient agriculture. This paper explores the multidimensionality of the eco‐efficiency concept as it applies to agriculture across diverse spatial and temporal scales, from cellular metabolisms through to crops, farms, regions, and ecosystems. These dimensions of eco‐efficiency are integrated through the presentation and exploration of a framework that explores an efficiency frontier between agricultural outputs and inputs, investment, or risk. The challenge for agriculture in the coming decades will be to increase productivity of agricultural lands in line with the increasing demands for food and fiber. Achieving such eco‐efficiency, while addressing risk and variability, will be a major challenge for future agriculture. Often, risk will be a critical issue influencing adoption; it needs explicit attention in the diagnosis and intervention steps toward enhancing eco‐efficiency. To ensure food security, systems analysis and modeling approaches, combined with farmer‐focused experimentation and resource assessment, will provide the necessary robust approaches to raise the eco‐efficiency of agricultural systems.

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Preface: Climate Predictions for Better Agricultural Risk Management

Cited by 19 publications

References 12 publications

A Fine-Grained Study of the Experience of Drought, Risk and Climate Change Among Australian Wheat Farming Households

A Fine-Grained Study of the Experience of Drought, Risk and Climate Change Among Australian Wheat Farming Households

The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands

Eco‐efficient Agriculture: Concepts, Challenges, and Opportunities

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