![]() ) which focus on making farms and farmers more resilient to a changing climate. Pacific Northwest.ĭecision tools and modules such as AgBiz Logic, provide essential analytical output for global and national efforts labeled climate-smart agriculture (CSA Our illustrative case study reflects the dry-land wheat producing area of the U.S. By incorporating both climate changeĪnd environmental outcomes, these decision tools can be used to evaluate climate smart options. We illustrate how the three key elements noted above can be addressed within the AgBiz Logic™ platform and decision-support framework developed to aid growers in evaluating current and alternative management systems under future climate scenarios. We also explore how these farm-scale tools could be linked with regional based analyses to scale up to the information needed for better science-based policy. The primary goal of this paper is to illustrate how decision support tools can be designed to address the farm-scale tradeoffsĪssociated with changes in climatic conditions. Through the use of data technologies, farm-level information can be integrated with publically available data at the landscape scale for supporting science-based policy and sustainable management of agricultural landscapes. ![]() The increasing utilization of precision farming and mobile technologies, together with improvements in data management software, offer expanding opportunities for an integrated data platform that links farm-level management decisions and corresponding behavioral changes to site-specific biophysical data and analytical tools. Three key elements are required to improve the capability to make better management, and ultimately, policy decisions: (1) timely and accurate data on climate variabilityĪnd its impact on yield and cost projections (2) scientific understanding of the agro-ecological system at the farm scale and (3) incorporation of those two elements into knowledge products that meet the needs of growers and policy decision makers. Critical information and data are often missing, and thus the consequences of changes in management practices across many dimensions are not easily identified. Despite advances in applied research and analysis over the past half century, making informed management decisions based on integrating climate and environmental science findings at the farm scale remains a challenge. Whether in the form of increased intra-seasonal variability, severe heat waves, long-term drought or warmer winters, farmers and growers need to be cognizant of the risks and opportunities that future weather patterns may bring to yields and profitability, as well as the possible environmental outcomes associated with changes in management regimes. Will have differing impacts on agricultural sectors worldwide. This process is experimental and the keywords may be updated as the learning algorithm improves.Ĭlimate change and enhanced climate variability These keywords were added by machine and not by the authors. The goals of this paper are to illustrate how decision support tools can be designed to address the farm-scale economic and environmental tradeoffs associated with changes in climatic conditions and how these farm-scale tools could be linked with regional based analyses to scale up to the information needed for better science-based policy. Climate change and enhanced climate variability will have differing impacts on agricultural producers worldwide. Currently, your switch statement in willTransition is this let rect = I’m currently using the newer version and don’t see anything mentioning iPhone X models.Īlso, I don’t understand how the logic works on knowing when to present a split view in the landscape for the iPhone 8 plus devices. I know this question has been asked before (in 2018) and it was said that would be updated in a newer version. ![]() In Chapter 47 for the section Landscape on iPhone Plus you don’t handle the case for iPhone X’s I am curious as to how you would go about this.
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