MCDermid Sonali Shukla, Montes Carlo, Cook Benjamin I, Puma Michael J, Kiang Nancy Y, Aleinov Igor
Department of Environmental Studies, New York University, New York, New York.
NASA Goddard Institute for Space Studies, New York, New York.
J Clim. 2019 Jan 15;32(2):465-484. doi: 10.1175/JCLI-D-17-0799.1. Epub 2018 Dec 26.
Modern agricultural land cover and management are important as regional climate forcings. Previous work has shown that land cover change can significantly impact key climate variables, including turbulent fluxes, precipitation, and surface temperature. However, fewer studies have investigated how intensive crop management can impact background climate conditions, such as the strength of land-atmosphere coupling and evaporative regime. We conduct sensitivity experiments using a state-of-the-art climate model with modified vegetation characteristics to represent modern crop cover and management, using observed crop-specific leaf area indexes and calendars. We quantify changes in land-atmosphere interactions and climate over intensively cultivated regions situated at transitions between moisture- and energy-limited conditions. Results show that modern intensive agriculture has significant and geographically varying impacts on regional evaporative regimes and background climate conditions. Over the northern Great Plains, modern crop intensity increases the model simulated precipitation and soil moisture, weakening hydrologic coupling by increasing surface water availability and reducing moisture limits on evapotranspiration. In the U.S. Midwest, higher growing season evapotranspiration, coupled with winter and spring rainfall declines, reduces regional soil moisture, while crop albedo changes also reduce net surface radiation. This results overall in reduced dependency of regional surface temperature on latent heat fluxes. In central Asia, a combination of reduced net surface energy and enhanced pre-growing season precipitation amplify the energy-limited evaporative regime. These results highlight the need for improved representations of agriculture in global climate models to better account for regional climate impacts and interactions with other anthropogenic forcings.
现代农业土地覆盖和管理作为区域气候驱动力具有重要意义。此前的研究表明,土地覆盖变化会显著影响关键气候变量,包括湍流通量、降水和地表温度。然而,较少有研究探讨集约化作物管理如何影响背景气候条件,例如陆气耦合强度和蒸发状况。我们使用一个具有改进植被特征的先进气候模型进行敏感性实验,以利用观测到的特定作物叶面积指数和物候历代表现代农业覆盖和管理情况。我们量化了位于水分和能量限制条件过渡区的集约化种植区域陆气相互作用和气候的变化。结果表明,现代集约化农业对区域蒸发状况和背景气候条件具有显著且因地理位置而异的影响。在大平原北部,现代作物集约化程度增加了模型模拟的降水量和土壤湿度,通过增加地表水可利用性和减少蒸散的水分限制来削弱水文耦合。在美国中西部,生长季较高的蒸散量,加上冬季和春季降雨量减少,降低了区域土壤湿度,而作物反照率变化也减少了地表净辐射。这总体上导致区域地表温度对潜热通量的依赖性降低。在中亚,地表净能量减少和生长季前降水量增加共同作用,加剧了能量限制的蒸发状况。这些结果凸显了在全球气候模型中改进农业表征的必要性,以便更好地考虑区域气候影响以及与其他人为强迫的相互作用。