The Influence of a Changed Climate on Soil Workability and Available Workdays in Scotland

Cooper, G.; McGechan, M.B.; Vinten, A.J.A.

doi:10.1006/jaer.1997.0204

Cited by 44 publications

(35 citation statements)

References 20 publications

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“…could lead to crop failure and decreased number of harvests (Sawano et al, 2008). The timing of operations, including of planting and harvesting, is affected by that of the previous operation in a work calendar (Kotera et al, 2014) and need to fulfill the field workability when heavy machines are used (Cooper et al, 1997). Operating heavy machines on wet soil that has low bearing strength is problematic and field workability for some operations (e.g., spreading of farm waste to land) is constrained by weather to avoid watercourse pollution (Cooper et al, 1997).…”

Section: Influence On Crop Production Through Work Calendar and Fieldmentioning

confidence: 99%

How do weather and climate influence cropping area and intensity?

Iizumi

Ramankutty

2015

Global Food Security

359

170

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a b s t r a c tMost studies of the influence of weather and climate on food production have examined the influence on crop yields. However, climate influences all components of crop production, includes cropping area (area planted or harvested) and cropping intensity (number of crops grown within a year). Although yield increases have predominantly contributed to increased crop production over the recent decades, increased cropping area as well as increases in cropping intensity, especially in the tropics, have played a substantial role. Therefore, we need to consider these important aspects of production to get a more complete understanding of the future impacts of climate change. This article reviews available evidence on how climate might influence these under-studied components of crop production. We also discuss how farmer decision making and technology might modulate the production response to climate. We conclude by discussing important knowledge gaps that need to be addressed in future research and potential ways for moving forward.

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Section: Influence On Crop Production Through Work Calendar and Fieldmentioning

confidence: 99%

How do weather and climate influence cropping area and intensity?

Iizumi

Ramankutty

2015

Global Food Security

359

170

View full text Add to dashboard Cite

show abstract

“…As only days between June and September were evaluated in terms of harvesting suitability, snow cover and temperature requirements were not considered. The thresholds of soil moisture used to define days suitable for sowing and harvesting were stricter than those used by Rounsevell (1993) and Cooper et al (1997) in order to avoid soil compaction, which is unsustainable in the long-term. The water deficit during key parts of the growing season was calculated as the difference between the sum of precipitation and winter wheat reference evapotranspiration, as winter wheat is a dominant crop in the region.…”

Section: Agrometeorological Indicesmentioning

confidence: 99%

Expected changes in agroclimatic conditions in Central Europe

et al. 2011

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During the past few decades, the basic assumption of agroclimatic zoning, i.e., that agroclimatic conditions remain relatively stable, has been shattered by ongoing climate change. The first aim of this study was to develop a tool that would allow for effective analysis of various agroclimatic indicators and their dynamics under climate change conditions for a particular region. The results of this effort were summarized in the AgriClim software package, which provides users with a wide range of parameters essential for the evaluation of climate-related stress factors in agricultural crop production. The software was then tested over an area of 114,000 km 2 in Central Europe. We have found that by 2020, the combination of increased air temperature and changes in the amount and distribution of precipitation will lead to a prolonged growing season and significant shifts in the agroclimatic zones in Central Europe; in particular, the areas that are currently most productive will be reduced and replaced by warmer but drier conditions in the same time the higher elevations will most likely experience improvement in their agroclimatic conditions. This positive effect might be short-lived, as by 2050, even these areas might experience much drier conditions than observed currently. Both the rate and the scale of the shift are amazing as by 2020 (assuming upper range of the climate change projections) only 20-38% of agriculture land in the evaluated 262 Climatic Change (2011) 108:261-289 region will remain in the same agroclimatic and by 2050 it might be less than 2%. On the other hand farmers will be able to take advantage of an earlier start to the growing season, at least in the lowland areas, as the proportion of days suitable for sowing increases. As all of these changes might occur within less than four decades, these issues could pose serious adaptation challenges for farmers and governmental policies. The presented results also suggest that the rate of change might be so rapid that the concept of static agroclimatic zoning itself might lose relevance due to perpetual change.

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“…The direct effect of CC will be seen in its effect on pasture and conserved fodder growth in terms of quantity, quality and timing. Increased rainfall (particularly in Spring or Autumn) that restricts machinery operations or livestock access to grazing may have significant effects on the financial viability of the systems as currently constituted (Cooper et al 1997). Indirect effects via increased incidence of livestock disease are also possible.…”

Section: Case-studies and Issuesmentioning

confidence: 99%

An integrated assessment approach to conduct analyses of climate change impacts on whole-farm systems

Rivington¹,

Matthews²,

Bellocchi

et al. 2007

Environmental Modelling & Software

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This paper argues that an integrated assessment approach, combining simulation modelling with deliberative processes involving decision makers and other stakeholders, has the potential to generate credible and relevant assessments of climate change impacts on farming-systems. The justification for the approach proposed is that while simulation modelling provides an effective way of exploring the range of possible impacts of climate change and a means of testing the consequences of possible management or policy interventions, the interpretation of the outputs is highly dependent on the point of view of the stakeholder. Inevitably, whatever the responses to climate change, there will be trade-offs between the benefits and costs to a range of stakeholders. The use of a deliberative process that includes stakeholders, both in defining the topics addressed and in debating the interpretations of the outcomes, addresses many of the limitations that have been previously identified in the use of computer-based tools for agricultural decision support. The paper further argues that the concepts of resilience and adaptive capacity are useful for the assessment of climate change impacts as they provide an underpinning theory for processes of change in land use systems. The integrated modelling framework (IMF) developed for the simulation of whole-farm systems is detailed, including components for crop and soil processes, livestock systems and a tool for scheduling of resource use within management plans. The use of the IMF for assessing climate change impacts is then outlined to demonstrate the range of analyses possible. The paper concludes with a critique of the IA approach and notes that issues of quantification and communication of uncertainty are central to the success of the methodology.

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The Influence of a Changed Climate on Soil Workability and Available Workdays in Scotland

Cited by 44 publications

References 20 publications

How do weather and climate influence cropping area and intensity?

How do weather and climate influence cropping area and intensity?

Expected changes in agroclimatic conditions in Central Europe

An integrated assessment approach to conduct analyses of climate change impacts on whole-farm systems

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