SWAT用于模拟气候变化对美国俄勒冈州西部沉积物产量和农业生产力的影响

G. Mueller-Warrant, C. Phillips, K. Trippe
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引用次数: 3

摘要

对美利坚合众国西北太平洋地区的气候变化预测包括气温升高、冬季降水加剧,以及从混合雪/雨转变为以雨为主的事件,所有这些都可能增加土壤侵蚀的风险,并威胁农业和生态生产力。在这里,我们使用了农业/环境模型SWAT和耦合模型相互比较项目5(CMIP5)“高二氧化碳排放”情景(RCP8.5)的气候预测,研究了俄勒冈州西部威拉米特河流域温度和降水模式变化对土壤侵蚀和作物生产力的影响。代表CIMP5温度和降水预测全范围的10个气候模型的集合使沉积物产量大幅增加,模型之间最后(2090-2099)年和第一(2010-2019)年的年平均值差异在3.9至15.2 MT·ha-1之间。最坏情况模型(CanESM2)中的产沙量相当于1.5-2.7毫米·土壤·y-1的损失,相当于在不到两个世纪的时间里可能从景观中剥离生产性表层土。大多数气候模型预测降水量仅小幅增加(到21世纪末平均5.8%),而温度则大幅增加(平均0.05°C·y-1),结合温度和降水效应的回归模型描述了年输沙量总变化的79%。应对气温升高的一个关键组成部分是在冬季的高降水事件中减少降雪。SWAT将流域平均降水量小于20毫米的年份描述为降雪,可能会对多种作物/土地使用造成严重的沉积物损失。预计将从雨雪过渡到雨水为主的中海拔亚盆地似乎特别容易受到沉积物损失的影响。对预测作物产量的分析表明,许多常见的草籽和谷物作物的生产力正在下降,而某些其他作物的生产力也在提高。农业和林业适应更温暖、更具侵蚀性的条件可能包括改变作物种类和生产管理做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of SWAT to Model Impact of Climate Change on Sediment Yield and Agricultural Productivity in Western Oregon, USA
Climate change predictions for the Pacific Northwest region of the United States of America include increasing temperatures, intensification of winter precipitation, and a shift from mixed snow/rain to rain-dominant events, all of which may increase the risk of soil erosion and threaten agricultural and ecological productivity. Here we used the agricultural/environmental model SWAT with climate predictions from the Coupled Model Intercomparison Project 5 (CMIP5) “high CO2 emissions” scenario (RCP8.5) to study the impact of altered temperature and precipitation patterns on soil erosion and crop productivity in the Willamette River Basin of western Oregon. An ensemble of 10 climate models representing the full range in temperature and precipitation predictions of CIMP5 produced substantial increases in sediment yield, with differences between yearly averages for the final (2090-2099) and first (2010-2019) decades ranging from 3.9 to 15.2 MT·ha-1 among models. Sediment yield in the worst case model (CanESM2) corresponded to loss of 1.5 - 2.7 mm·soil·y-1, equivalent to potentially stripping productive topsoil from the landscape in under two centuries. Most climate models predicted only small increases in precipitation (an average of 5.8% by the end of the 21st century) combined with large increases in temperature (an average of 0.05°C·y-1). We found a strong correlation between predicted temperature increases and sediment yield, with a regression model combining both temperature and precipitation effects describing 79% of the total variation in annual sediment yield. A critical component of response to increased temperature was reduced snowfall during high precipitation events in the wintertime. SWAT characterized years with less than basin-wide averages of 20 mm of precipitation falling as snow as likely to experience severe sediment loss for multiple crops/land uses. Mid-elevation sub-basins that are projected to shift from rain-snow transition to rain-dominant appear particularly vulnerable to sediment loss. Analyses of predicted crop yields indicated declining productivity for many commonly grown grass seed and cereal crops, along with increasing productivity for certain other crops. Adaptation by agriculture and forestry to warmer, more erosive conditions may include changes in selection of crop kinds and in production management practices.
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