Lassa, Mitch J. (author), Wilmer, Hailey (author), Boone, Madison (author), Brown, Zach (author), Derner, Justin D. (author), Peck, Dannele E. (author), Thissen, Carmen (author), and Marlow, Clayton (author)
Format:
Journal article
Publication Date:
2020-10
Published:
United States: Extension Journal, Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12286
15 pages, This article offers the Extension community a pathway to drought resilience and climate-related conversations through knowledge exchange workshops. In 2017, a "flash drought" affected eastern Montana, and ranchers in the region faced numerous challenges. Moreover, drought-favorable climate conditions are predicted to increase for the region. We held five workshops to facilitate an exchange of adaptive drought management strategies, focusing on key themes for drought resilience: (a) drought planning and adaptive management, (b) use of local knowledge networks, (c) flexible stocking and grazing, and (d) adaptation to shifting baselines. Extension can use this approach to foster multidirectional knowledge sharing to strengthen ranching resilience to drought conditions.
25pgs, We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
