Abstract

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.

Highlights

  • Because civilization’s survival is by definition dependent on reliable production of human food and animal feed, potential negative impacts of climate change on agricultural productivity in particular, and on the sustainability of numerous ecosystem services in general, are viewed with great alarm by the vast majority of scientists

  • Discrepancies in Nash-Sutcliffe Efficiency (NSE) among daily, weekly, and monthly time periods suggested the likely existence of a brief time-delay factor in flow of water through the watershed, one that would need to be accounted for during basin-specific calibration

  • Recalculating NSE values using small temporal offsets gave considerable improvement when flows predicted by Soil Water Assessment Tool (SWAT) for one to two days earlier than the actual discharge measurements at the Morrison Avenue Bridge were used (e.g., SWAT prediction for Feb. 1 compared to observed flow on Feb. 2 or Feb. 3)

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Summary

Introduction

Because civilization’s survival is by definition dependent on reliable production of human food and animal feed, potential negative impacts of climate change on agricultural productivity in particular, and on the sustainability of numerous ecosystem services in general, are viewed with great alarm by the vast majority of scientists. Loss of snow pack, and declining stream flow associated with climate change have already impacted the Pacific Northwest (PNW) of the United States, and are projected to continue doing so in coming decades [1]. While climate change impacts on water availability in this region have received considerable attention [2] [3] [4] [5] [6], an important related issue, largely overlooked, is the risk of soil erosion and subsequent impacts on agricultural and ecological productivity. The Soil Water Assessment Tool (SWAT) has been widely used to simulate water quality, sediment loading, and crop productivity responses to changing temperature, precipitation, crop management, and land use patterns across large scales [10] [11] [12]

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