Climatic Change (2018) 148:339–353 https://doi.org/10.1007/s10584-018-2219-x Diverse landscapes, diverse risks: synthesis of the special issue on climate change and adaptive capacity in a hotter, drier Southwestern United States 1 1 2 Emile Elias & Julian Reyes & Caiti Steele & Albert Rango Received: 22 August 2017 /Accepted: 13 May 2018 /Published online: 28 May 2018 The Author(s) 2018 Abstract Assessing regional-scale vulnerability of agricultural systems to climate change and variability is vital in securing food and fiber systems, as well as sustaining rural livelihoods. Farmers, ranchers, and forest landowners rely on science-based, decision-relevant, and local- ized information to maintain production, ecological viability, and economic returns. This paper synthesizes the collection of research on the future of agricultural production in the South- western United States. A variety of assessment methods indicate the diverse impacts and risks across the Southwest, often related to water availability, which drives adaptive measures in this region. Sector- or species-specific adaptive measures have long been practiced in this region and will continue to be necessary to support agricultural production as a regional enterprise. Diversification of crop selection and income source imparts climate resilience. Building upon biophysical vulnerability through incorporating social and economic factors is critical to future adaptation planning efforts. The persistence and adaptive capacity of agriculture in the water- This article is part of a Special Issue on BVulnerability of Regional Forest and Agricultural Ecosystems to a Changing Climate (USDA Southwest Climate Hub)^ edited by David Gutzler and Connie Maxwell. * Emile Elias email@example.com Julian Reyes Julian.firstname.lastname@example.org Caiti Steele email@example.com Albert Rango firstname.lastname@example.org USDA—Agricultural Research Service, Jornada Experimental Range, Southwest Climate Hub, Las Cruces, NM, USA New Mexico State University, Las Cruces, NM, USA 340 Climatic Change (2018) 148:339–353 limited Southwest serves as an instructive example for producers outside the region expecting drier and warmer conditions and may offer solutions to reduce future climate impacts. 1 Introduction This collection of articles focuses on the impacts of climate variability and change on agricultural production systems of the Southwestern United States, including rangelands, field crops, specialty crops, and forested systems. The market value of agricultural products sold in the Southwest (SW) region approaches $52 billion per year with roughly 60% from crop sales and 40% from livestock enterprises and their products (National Agricultural Statistics Service 2017). Approximately 70% of the livestock revenues in this region are from beef cattle and calves, as well as dairy cattle (Havstad et al. 2016). The SW, primarily California, accounts for more than half the nation’s specialty crop production and approximately 90% of the national production of wine grapes, strawberries, and leaf lettuce (Starrs and Goin 2010). The special issue (SI) evolved from a vulnerability assessment of agriculture and forest ecosystems of the Southwestern US. As one of the first products of the USDA Climate Hub network, vulnerability assessments were written for the regions of the network. These assess- ments were intended to provide a broad overview of the most vulnerable agricultural and forest systems in each region both to prioritize future work and to broaden understanding of regional impacts of climate change to agricultural and forestry sectors. For a broader view of agricul- tural vulnerability across the US, this collection should be viewed alongside efforts of the greater USDA Climate Hub network in a companion SI (Steele and Hatfield et al. 2018). This special issue (SI) includes six articles focused on how a warmer and drier future will likely impact ranchers, farmers, and foresters in the Southwestern US. Given existing water scarcity, projection of increased duration and severity of drought, and reliance of agricultural producers on available water, it is critical to evaluate how climate change may impact regional food production, food scarcity, natural systems, and rural livelihoods. Here, we synthesize the overarching methods and results from the SI and highlight four emergent commonalities (themes) in resilience and vulnerability analyses. A vulnerable system has lost resilience, implying the loss of adaptive capacity (Folke 2006). The resilience perspective incorporates social and ecological drivers and emphasizes how periods of gradual change interplay with periods of rapid change. As described in the papers of this collection, the Southwest (SW) region experiences and is projected to experience a range of exposure, sensitivity, and adaptive capacity leading to a dynamic range of resilience and vulnerability across commodity, space, and time. Here, we synthesize the overarching results of this SI in four sections. The first section provides the regional context for Southwestern climate change vulnerability. In this section, we give insights to some of the unique aspects of the region, including high topographic, cultural, and agricultural diversity, and existing water scarcity. In the second section, we describe the content of the collection and highlight vulnerability assessment components and methodology. The third section provides emerging themes in the SW based on the findings of the articles. The fourth section highlights knowledge gaps that emerged while compiling this collection. Articles in this collection provide both general and specific details about how climate change may impact specific crops and forest types, particularly from a biophysical–ecological per- spective. To our knowledge, this is the first comprehensive assessment of the vulnerability of working lands to climate change in the SW US. Climatic Change (2018) 148:339–353 341 2 Regional context: the Southwestern US The SW is defined by landscape diversity in terms of natural landforms, elevation gradients, and water availability. The unique and diverse landforms of the SW include mountains, valleys, and plains, including low- and high-elevation deserts, such as the Great Basin Desert, Mojave Desert, Sonoran Desert, and the Chihuahuan Desert (Chabot and Mooney 1985). The broad environmental gradients of the SW support a multitude of forest types including arid woodlands, savannahs, and cool coastal and high-elevation forests. California’s Mediterranean climate (unique in North America) and large-scale irrigation systems support specialty crops, which are themselves inherently diverse. Specialty crops are from different botanical families: annuals, biennials, and perennials; they are consumed as fruits, nuts, leaves, stems, and tubers; and they require diverse cultivation practices (Kerr et al. 2017). Amid a rural landscape managed by various entities are some of the most rapidly growing urban areas of the nation. In terms of human geography, this leads to a vast rural landscape with low population density punctuated by rapidly growing urban areas. The SW is also home to 180 federally registered tribal nations, which occupy 9.4% of the land area in the SW (Redsteer et al. 2013). Within the SW, there are regions of elevated economic and social vulnerability. For example, the border region from the Pacific coast of California to El Paso, TX, has higher poverty, water insecurity, and substandard housing when compared with the broader United States (Wilder et al. 2013). The many agencies and nations with competing water and land management goals, divergent economies, and broad differences in water security pose obvious challenges for climate adaptation to minimize vulnerability. Less obvious opportunities emerge in the task of working collectively to address competing goals while providing for food security and resilient working landscapes. Climatic variability, water scarcity, and extreme weather define the SW (Sheppard et al. 2002;Wagneret al. 2010). Producers have long adapted to drought with a variety of options related to local conditions and production system (Vásquez-León et al. 2003). While the unprecedented drought in California (2012–2016) had severe local impacts on some pro- ducers, agricultural revenue remained fairly consistent as some producers relied on ground- water to supplement surface water shortage (Howitt et al. 2015). Recent scientific evidence clearly links southwestern drought to the increased temperatures of climate change (Mann and Gleick 2015), with drought expected to be of longer duration and higher intensity in the future (Cayan et al. 2010;Cooket al. 2015). The SW may have already transitioned to a drier climatic state leading to higher drought risk (Prein et al. 2016) implying that producers may need to further adapt. 3 Content of the special issue Against this backdrop, the contents of this SI explore aspects of climate change, agriculture, and forest systems. Steele et al. (this issue) provide background on vulnerability assessment methodology. The authors highlight how vulnerability assessments can assist in developing solutions to the challenges of warming temperatures and water scarcity. The authors emphasize that to fully address necessary responses to climate change, we must consider contextual vulnerabilities, including biophysical, socio-economic, institutional, cultural, and other factors, to develop feasible adaptation options. The authors provide examples of crop specific and geographically identified contextual vulnerability. Elias et al. (this issue) summarize observed 342 Climatic Change (2018) 148:339–353 and expected temperature and precipitation changes as an introduction to exposure and ensuing impacts at the county level. Cropland vulnerability to climate change is further explored in two articles. Kerr et al. (this issue) evaluate both economic and biophysical vulnerability of the highest value specialty crops in California. Elias et al. (this issue) employ different spatial methods, including a temperature envelope approach, to evaluate the impacts of increased temperature on field crops across a five-state region in the SW US. Thorne et al. (this issue) employ a spatial modeling approach to evaluate how changes in temperature and precipitation may impact different forest types across the SW. The articles of this collection address climate change vulnerability or the degree to which a system is susceptible to injury. Vulnerability can be defined and assessed from a variety of perspectives and is often described as a function of exposure, sensitivity, and adaptive capacity (Table 1) (McCarthy et al. 2001). Complementary concepts and methodologies to assess vulnerability have evolved which often differ based upon their unit of spatial analysis (field, farm, county, region), unit of focus (single crop, collection of crops, all crops or forest systems grouped into types, or complex landscape or industry), and fundamental assumptions in defining sensitivity, exposure, and adaptive capacity. Definitions from the Intergovernmental Panel on Climate Change (IPCC) are used here to further explain the components of vulner- ability. Exposure is the external stress imposed on a system. Some authors of articles in this SI incorporate exposure by assuming a hotter, drier future in the SW based on literature whereas others quantify changes using downscaled climate models at varying spatial scales. Sensitivity is the degree of change induced in a system because of exposure. Three of four articles in this collection developed indexes to estimate sensitivity based upon prior biophysical research. The IPCC defined adaptive capacity as the capability of a system to respond to climatic stimuli or impacts. Adaptive capacity was described and discussed as many broad conditions based on various eventualities in three of four articles. Thorne et al. developed an index to incorporate adaptive capacity based on specific stressor responses in forests. As this collection shows, a consistent or Bone size fits all^ methodology is not necessary to support agricultural climate change adaptation. Rather, both experiential knowledge and data-driven approaches can be used to support climate change adaptation and build resilient agroecosystems at relevant scales. While differing methodologies are a function of research objectives and data availabil- ity, future interdisciplinary efforts to build upon biophysical aspects of vulnerability that include economic and social considerations could be especially valuable for adaptation planning. 4 Emerging themes from varying perspectives 4.1 Theme one: it is essential to evaluate climate impacts using a variety of methodologies and perspectives Identifying climate risks helps frame adaptation to climatic changes in the agricultural sector by focusing on management for sustainable production and resilient working landscapes (Howden et al. 2007). Ensemble mean climate projections of temperature and precipitation are often used in climate analyses and adaptation planning (Knutti et al. 2010). Means are valuable because they allow for adaptation measures to average conditions; however, address- ing different emissions scenarios can inform the possible range of future temperature/ precipitation impacts on the sector of interest. For example, Thorne et al. (this issue) found Climatic Change (2018) 148:339–353 343 Table 1 Definition of vulnerability components (sensitivity, exposure, and adaptive capacity) for four sectoral areas to describe methods of assigning components. TR, thermal range; RCP, representative concentration pathway; CDL, cropland data layer: T , maximum temperature; T , minimum temperature; MACA, multivariate-adaptive constructed analogues max min Definition Sector Rangelands (Havstad et al.) Forests (Thorne et al.) Specialty crops (Kerr Field crops (Elias et al.) et al.) Exposure Exposure refers to the nature of BUnquantified,^ however, Bioclimatic envelope assuming Summer T ; Winter a. Summer T b. Crop-specific max max the external stress imposed on incorporated via discussion of exposed vegetation is within T thermal tolerance based on min a system. Complexity of input abiotic stressors (i.e. or beyond the most marginal historic TRc. Days with tem- data for analyses typically precipitation, temperature) 1% of the current climate perature > 35 °Cd. Cumula- defines complexity of space. tive hours of crop exposure exposure metrics and per 1 °C increment from 32 to measures 34 °C and ≥ 35 °C Historic Past climatic conditions na 50-year mean (1950–2000) of 19 MACA downscaled a. PRISM 30-year mean (time-period varies by sector bioclimatic variables. county-level data; (1971–2000)b. 30-year mean and, for field crops, analysis. PRISM 30-year nor- (1971–2000) and USDA CDL mals (1971–2000) (4 km ). TR is 95% of sum- mer T coincident with crop max location.c. Days > 35 °C April to August using MACA 20 model mean (1950–2005).d. 1950–2005hourlytempera- ture exposures April to Au- gust for 20 MACA models. Future Future climatic conditions na Two climate models Mean of 20 CMIP-5 a. Mean of 20 CMIP-5 models (MRI-CGCM3 and models (2040–2069) (2040–2069)b. Same as a. MIROC-ESM-CHEM (above)c. Days > 35 °C using (2061–2080) mean of the 20 MACA models (2040–2069).d. 2040 to 2069hourlytemperature exposures (T and T ) max min April to August for the 20 MACA models. Emission RCP from the coupled model na RCP4.5 and RCP8.5 RCP8.5 RCP8.5 scenario intercomparison project 5 344 Climatic Change (2018) 148:339–353 Table 1 (continued) Definition Sector Rangelands (Havstad et al.) Forests (Thorne et al.) Specialty crops (Kerr Field crops (Elias et al.) et al.) Sensitivity Sensitivity is the degree of Impact-driven from a livestock Endemic drivers of stress: Literature synthesis to Biophysical (crop yield effects)a. negative or positive change perspective (biophysical and wildfire, drought, pathogens, create a sensitivity Literature synthesis for crop induced in a system because socio-economic consider- and pests (scored from 0 to 3). indexfrom 1to 4to sensitivity factor (SF) (scale 1 of exposure to the effects of ations; e.g. land degradation, both winter T and to 3) to summer T .b. Shifts min max climate change. reduced forage supply, in- summer T . in and out of TRc. Areal extent max Sector-dependent definition creased heat stress, reduced with increased temperatured. including abiotic and biotic livestock grazing-carrying ca- Crop yield effects impacts, as well as pacity; reduced operations socio-economic variables. options) Adaptive Adaptive capacity describes Response and adaptive capacity Mechanistic species-specific re- Impact-based crop Adaptive measures discussed capacity management practices for will rely upon proven sponse to disturbance (i.e. acreage/value. include increasing irrigation and water security, earlier helping the system tolerate management strategies of the sensitivity): presence of Adaptive measures changes in the magnitude, past (reduced stocking rates, fire-adaptive traits, modes of discussed but not planting—supported by frequency, duration, and areal proper grazing management dispersal, seed longevity modeled (i.e. use of spatially explicit vulnerability extent of external stressors. and diversified income, (scored from 1 to 3). heat- and analysis, selecting and alternative forage supplies, drought-tolerant developing drought-tolerant and practices to reduce heat crops). cultivars, prioritize adaptation stress. using spatially explicit methods. Vulnerability Outcome vulnerability is the Contextual Outcome Outcome Outcome potential for climate change impacts on an exposure unit after feasible adaptations. Contextual vulnerability is influenced by biophysical conditions as well as dynamic social, economic, political, institutional, and technological factors (O’Brien et al. 2007). Climatic Change (2018) 148:339–353 345 Table 1 (continued) Definition Sector Rangelands (Havstad et al.) Forests (Thorne et al.) Specialty crops (Kerr Field crops (Elias et al.) et al.) Spatial unit of Spatial area where variables NRCS Land Resource Regions 1km grid from LANDFIRE County level County level (Southwest US) analysis (exposure, sensitivity, and (LRR)Major Land Resource grouped into 10 major (California) and 2012 crop locations as adaptive capacity) are Areas (MLRAs)Ecological categories according to similar defined by the USDA Crop summarized and impacts site species composition, Data Layer evaluated geographical distribution, and ecological function (summarized at SW, forest type, and US level III ecoregion scales). Spatial unit is a Factors used to define spatial Climate, land use, soils, Climate, modeled land types, Political administration Political administration function of, unit of analysis vegetation soils, vegetation but not the recommenda- tion listed above. 346 Climatic Change (2018) 148:339–353 that the higher emissions scenario (RCP8.5) led to an impacted forest area three times larger than the area predicted by the lower emissions scenario (RCP4.5). It is essential to craft adaptive measures for expected average conditions but also to consider the likely extreme events and resulting social vulnerabilities, systemic resilience, and cascading impacts. Extreme events are important for risk analysis; however, adaptation related to such events is often not successful (Schneider et al. 2000). Kerr et al. (this issue) found that the choice of metric (relative vs absolute; winter vs summer, and area-based vs value-based) influences the spatial pattern of specialty crop vulnerability. This highlights the value of taking multiple viewpoints to evaluate and describe varying impacts. In this collection, specialty and field crop county-level impacts are reported using two impact metrics (absolute and relative impact). No county ranked in the highest quantile using both metrics for specialty crops (n = 58 counties), and only one county (Imperial County, California) ranked in the highest quantile using both metrics for field crops (n =152 counties). Additionally, specialty crops analyses used both economic- and area-based perspec- tives and found that there is no single locus of agricultural vulnerability in California, but differing areas and crops appearing vulnerable depending upon assessment methods and assumptions (Kerr et al., 2017). Using the county as a fundamental mapping unit encourages the use of climate change projections within existing institutional structures like cooperative extension (CE). Sometimes, a rapid analysis of climate impacts on a particular crop/location can provide enough informa- tion to support management or indicate if more in-depth analysis is necessary. For example, most prior assessments of specialty crops in California were conducted on perennial specialty crops, but analysis in this SI showed that annual strawberry production in California may impart significant vulnerability to Coastal California counties and warrants additional analysis. 4.2 Theme two: there will be widely varying impacts across the Southwest, often related to water availability As highlighted in BSection 2,^ water availability is paramount in the SW. The articles of this collection further illustrate this point based on the varied impacts of precipitation changed on differing production systems. Thorne et al. (this issue) show that in forested ecosystems of the region, the wetter modeling scenario predicts considerably less exposure (see Table 1) to climate change (27% vs. 78% exposed), thereby decreasing forest vulnerability (Thorne et al. 2016). As described by Havstad et al. (this issue), rangeland is similarly at the mercy of annual precipitation that supports forage production, thus supplemental feed is vital to support regional livestock production. In contrast, the large majority of specialty crops in the region are irrigated, and approximately half of this irrigation is supplied by groundwater. Thus, unlike rainfed agriculture, un-supplemented rangeland systems, and forest systems, specialty crops would not be expected to respond dramatically to precipitation changes in the short-medium term (Kerr et al. this issue). Vulnerability to precipitation changes is inherently varied and defined by production system. As described by Elias et al. (this issue), changes in exposure will vary across the region, as temperature will not increase uniformly across all counties. Coastal counties are projected to have a 2C lower mean temperature increase than inland counties of the SW. Similarly, minimum temperatures are anticipated to increase more rapidly than maximum temperatures in the region (Gershunov et al. 2013) disproportionately affecting annual and perennial crops. Growing conditions may not be climatically suitable for many key perennial specialty crops in the region, whereas annual specialty crop temperature–yield relationships are more complex, Climatic Change (2018) 148:339–353 347 with both positive and negative impacts of climate change, indicating a need to evaluate impacts on a crop-by-crop basis to account. Even among annual crops, impacts will be different for different crops because species exhibit varied thermal tolerance. For example, by midcentury, area suitable for maize cultivation is projected to decrease, while area suitable for cotton cultivation expands northward and nearly doubles in extent. Heat stress already reduced historic (1950–2005) yields in the region and is predicted to reduce cotton and maize yields by 37% and 27%, respectively, compared to potential yield by midcentury. Growers can alleviate crop heat stress by increasing irrigation (Haim et al. 2008), which enhances evaporative cooling. This is a common adaptation strategy for many crops cultivated in the SW (Nicholas and Durham 2012; Radin et al. 1994). However, delivering adequate water to reduce heat stress and maintain yields may be a challenging or even impossible adaptation strategy with predicted reductions in water supply and increased water scarcity (Schoups et al. 2005). Water availability may be the most critical factor impacted by a changing Southwestern climate. Though beyond the scope of this collection, surface water quantity and quality, diminishing and over-tapped groundwater resources, and continued competing demands are critical to many sectors of the region and described more completely in articles of this collection and elsewhere. From a livestock perspective, animal agriculture is highly adaptive, but producers need to understand the ecological characteristics of their specific landscapes to cope with emerging climatic changes. For example, Havstad et al. (this issue) report that the most lucrative beef cow revenues surpassed $30 M per county in the 14 counties of the Great Salt Lake Area (MLRA 28a). Surface water is used to grow animal feed crops as 27% of MLRA 28a is private cropland used in support of livestock production. Even in the more arid regions of the SW, regionally available-harvested forages from irrigated croplands are vital to support beef calf– cow operations and support the essential need for water for agriculture. The hotter and drier conditions predicted in a changing climate represent a Bnew normal^ that could exacerbate crop yield declines from unexpected irrigation interruptions and range- land productivity due to decreased precipitation (Diffenbaugh et al. 2015; Seager et al. 2007). If drought conditions become the Bnew normal,^ then groundwater reserves would likely decline (Taylor et al. 2013) effectively removing the secondary source responsible for buffer- ing severe drought effects. 4.3 Theme three: spatial analysis supports informed adaptation, within and outside the Southwest The articles of this collection indicate that adaptation measures could be targeted at vulnerable locations for particular forest or crop types. Thorne et al. (this issue) report that some forested regions were at risk in all climate scenarios tested whereas some areas were less impacted, indicating locations where planned adaptation is necessary with higher certainty. The most widespread forest type in the SW, pinyon juniper woodland, was less exposed. In contrast, redwood forests and oak woodlands were highly vulnerable in all four analyses. There is a growing need for forest adaptation management that anticipates landscape-scale climate change effects. Spatial analyses provide information to identify suitable sites of higher elevation where sensitive conifers might be replaced by other conifer species via adaptive management (Lenihan et al. 2003). From a crop perspective, spatial analysis of Elias et al. (this issue) provided an initial means to rank order which regions should be examined more rigorously. For example, the four North 348 Climatic Change (2018) 148:339–353 Central Valley California counties (Butte, Colusa, Glenn, and Sutter) with large rice cultivation area (76–95%) were less impacted than other counties with similar area under cultivation but composed of different crops. Conversely, Yuma, Arizona, was more impacted than other counties with similar cultivation area due to production of sensitive crops near the upper bounds of optimal temperatures. Thus, spatial analyses provide information for targeted responses. While it is intuitive to assume that some systems are already detrimentally impacted in the arid SW, regional temperature–yield analysis of this SI supports this assertion. Estimates of yield reduction from heat stress for maize and cotton indicate that heat stress reduced cotton yield by 26% and maize yield by 18% compared with potential yield. Spatial analyses for cotton, alfalfa, and maize highlight how thermally suitable production areas are projected to shift. Some locations will shift outside thermal range by midcentury; however, impacts are crop-dependent. While the potential area for maize cultivation is projected to decrease by 20%, a few regions will shift into the thermal range for maize. Cotton cultivation area expands northward and nearly doubles by midcentury (Elias et al. 2017a,b); so, given adequate soil quality and water resources, other areas could learn from the Arizona and California cotton- growing regions. Moreover, some locations outside of the Southwestern US will transition to similar climatic conditions in the future. Southwestern agriculture has learned to function adaptively to support resilient communities. The knowledge base that supports Southwestern resilient agriculture can be valuable to producers in other areas possibly facing similar conditions for the first time. Climate analogue analysis (Ramirez-Villegas et al. 2011), which operates on the premise that there are present locations able to represent future climate, though at different geographic locations, could be valuable to producers both within and outside the SW. Therefore, adaptive capacity can be conferred by both experiential knowledge of similar events (i.e. previous droughts) and similar landscapes (i.e. climate analogues). Producers typically use past experiences of weather and related agricultural impacts to assess and manage future risks (Wilke and Morton 2017). While we may not simply linearly extrapolate future climatic conditions based on historical trends (e.g. non-stationarity; Milly et al. 2008), adaptation and management responses in the Southwest may act as analogues for other producers in areas expected to experience warmer and drier climates. The SW may act as a harbinger of things to come; however, the resilience of SW producers serves as an example to build adaptive capacity here and elsewhere (Wilder et al. 2010). 4.4 Theme four: adaptation has long been practiced in the region and will continue An alternate understanding of adaptation has been noted among rural residents of the South- west who understand, respond to, and plan for weather and climate (Brugger and Crimmins 2013). Humans are seen to co-evolve with the climate, acquire experiential knowledge, adjust activities to long-term climate, and be motivated by an attachment to place and rural values. Irrigation is a long-practiced adaptation strategy in the Southwest; the evaporative cooling effect allows crops to persist in locations hotter than reported thermal ranges. Five of the states with the highest total irrigation water use in the US are located in the Southwest. Water was the most frequently mentioned climate- and weather-related topic in an assessment of Arizona producers (Brugger and Crimmins 2013). In the Southwest, most adaptive solutions will involve water. Growers may select drought-tolerant cultivars or, where possible, practice deficit irrigation to ensure enough available water during critical periods, such as flowering. Climatic Change (2018) 148:339–353 349 Adaptation and enhancing adaptive capacity to climatic impacts encompasses many options beyond the cursory examples mentioned here. Regional water availability will be directly and indirectly impacted by elevated tempera- tures. In addition, elevated temperatures may necessitate earlier planting to adjust for temper- ature shifts. However, earlier spring planting can increase frost damage risk (Kim et al. 2014); therefore, shifting planting dates to accommodate warming trends may not be a consistently viable adaptation option. Similarly, forest managers will need to decide to manage for resilience, resistance, or allow forests to change (Millar and Stephenson 2015). A full range of active forest management activities will likely occur across the span of southwestern forests (Thorne et al. 2016). Harvested forages from irrigated croplands are a vital adaptive strategy in times of lower available rangeland forage production. The thermally suitable area for irrigated alfalfa pro- duction will decrease by 14% by midcentury in multiple areas of the SW (Elias et al. 2017a,b). The alfalfa cultivation regions impacted by changing future temperatures are California’s Imperial Valley, the lower Colorado River Valley along the California–Arizona border, and the Gila River corridor west of Phoenix. From a rangeland perspective, some areas of diversification to impart resilience include using other sources of water (degraded water) for irrigation, expanded production of drought-tolerant feeds (Joyce et al. 2013), and using cattle well-suited to lower forage production and non-grass forages, such as Raramuri Criollo cattle (Anderson et al. 2015). Transformative practices to sustain animal agriculture, such as the promise of Criollo cattle, are highlighted by Havstad et al. (this issue). Numerous long-term studies on the grazing effects of large-cattle breeds with genetics from northern Europe, which are typically used in the Southwestern United States (i.e. Angus, Hereford), indicate that these breeds tend to focus their grazing along well-defined cattle trails as well as near water sources, such as wells and tanks (Bailey 2004). From an environmental perspective, these behaviors are associated with perennial grass losses (Nash et al. 1999), erosion, and dust emissions. From an economic perspective, these behaviors translate into requirements for expensive supplemental feed, especially during severe drought. A markedly different type of cattle has been identified based on weight, genetic origin, and adaptation to harsh desert environments, which may be better- suited to a warmer, drier Southwest. Research is underway to describe why the impact of Criollo on arid and semi-arid landscapes seems to be minimal compared to larger breeds (Peinetti et al. 2011). Preliminary results indicate that the Criollo will travel further from water, utilize pasture more uniformly, and use ecological/states that differ markedly from the large- cattle breeds, all of which translate to a smaller environmental impact. Criollo cattle may serve as an alternative to larger breeds to enhance livestock production adaptive capacity on Southwestern rangeland systems. 5 Knowledge gaps The Southwestern US contains vast and complex water infrastructure and systems, both physical and legal, to cope with variable and uncertain water availability. Many studies have projected longer and unprecedented drought conditions (Ault et al. 2014; Cayan et al. 2010; Cook et al. 2015; MacDonald 2010; Prein et al. 2016;Seageretal. 2007) and systemic pressures associated with additional stress on water supplies already near or beyond their natural limit in the future (Dettinger et al. 2015). However, how humans will respond to 350 Climatic Change (2018) 148:339–353 decreased available water and the impacts at a local and a regional scale remain uncertain. Economic analyses imply that, broadly, water will likely be transferred from agricultural to municipal uses (Hurd and Coonrod 2008). Other options, such as cooperation between agriculture and municipalities and technologies supporting water reuse, represent adaptation solutions to help ameliorate anticipated water stress. The collective, community-based (i.e. water banks) and individual responses to diminished water resources will drive local produc- tion in the SW. This calls for more interdisciplinary research incorporating decision-making, economics, and hydrologic information to identify ways to sustain rural livelihoods and food production given limited, variable, and uncertain water resources. The interplay between climatic and economic forces must be considered when evaluating adaptive options. For example, melons are heat and drought tolerant and could replace more sensitive crops; however, demand for melons is static and inelastic, so increasing production may lead to price crashes and unsold product (Kerr et al. this issue). The economic feasibility of changing cropping patterns to cope with warming temperatures is uncertain in many cases. There is a pressing need to incorporate economic, social, and political information into vulnerability and resilience analyses of climate change in agriculture broadly and in the SW region. Supporting interdisciplinary and collaborative efforts to better understand contextual vulnerability could evoke broader adaptation efforts in the SW and beyond. SI authors also report a lack of information in certain instances. There was a lack of published data on some crops (onions, garlic, carrots, and avocados). Information on the impacts of climate on agricultural pests is limited. While the potential of warming temperatures to cause systemic shifts leading to insect-related devastation is apparent in other systems (i.e. bark-beetle outbreaks in western forested systems), there is a paucity of data for the impact of climate change on other insect-related outbreaks. Understanding the interactions of climate with both helpful and harmful insects and pathogens is essential to understanding how climate change will impact Southwestern agriculture. 6 Conclusions: building resilience in the SW and beyond The impacts of climate change on Southwestern agriculture will be manifested through various pathways, some of which are well-documented and others that require further analysis. A majority of adaptive measures to support Southwestern agriculture into the future will involve coping with more variable and less available water in addition to a warmer climate. Authors contributing to this collection were tasked with assessing systemic vulnerability. A variety of methods were used and using different methods provided different perspectives about which areas are vulnerable. While a variety of assessment frameworks exist, there is no single correct way to assess vulnerability. Spatial analysis allowed for the prioritization of species and locations in need of future adaptation to cope with climate change. Rapid, county-level analyses available to CE and advisors can indicate which areas and crops might be vulnerable to future climatic conditions and prioritize locations and crops for more in-depth analysis. While differing methodologies are a function of research objectives and data availability, future interdisciplinary efforts to build upon biophysical aspects of vulnerability that include econom- ic and social considerations could be especially valuable for adaptation planning. Producers can rely upon a new network of climate extension specialists, the USDA Climate Hubs, and agricultural and natural resource advisors. Considering adaptive measures now can support adaptive production. As a first step, producers can look at anticipated average county- Climatic Change (2018) 148:339–353 351 level changes in temperature and precipitation (Elias et al. 2017a). Information about changes in seasonal temperature and precipitation provides the foundation for both dialogue and conceptualization of how changes might impact specific components of a crop growth cycle or a management practice. For example, knowledge about warmer summer temperatures may lead to earlier planting dates. Similarly, predictions of wetter weather during a typical harvest period may lead to innovation of alternate methods to cope with climate stressors on the agricultural production system. In forested systems, knowledge of vulnerable forest locations may lead to planting climate-adapted trees in anticipation of future conditions. Adaptation has been woven into the fabric of Southwestern agriculture and will continue into the future. Collaboration in both science and agricultural management is vital in this region. Working broadly across different disciplines and sectors allows for the development of creative ways to incorporate social and cultural knowledge into climate adaptation. Sustaining rural livelihoods is directly tied to agricultural production and economics. Limited recent adaptation efforts related to the large, observed variation in temperature and precipitation portend substantial future agricultural losses without unprecedented adaptation measures (Burke and Emerick 2016). This finding highlights the need to think creatively and beyond currently employed adaptive measures to ensure future food security both nationally and internationally. The resilient agricultural system of the SW can serve as an instructive example, both in climate analogue analyses and in the collaborative groups that have evolved and the diversified nature of production here, to cope with a warm climate with variable precipitation. Just as others can learn from the Southwestern experience, we can learn from others to support Southwestern production in a variable and changing climate. Acknowledgements This work is a contribution of the United States Department of Agriculture (USDA) Southwest Climate Hub. Manuscript development was supported by the USDA, Agricultural Research Service, Jornada Experimental Range with funding by the USDA (CRIS Project # 3050-11210-24 007D). 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Published: May 28, 2018
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