Building resilience to climate change in agroecosystems by addressing wind erosion

Authors: WEBB, NICOLAS - New Mexico State University; EDWARDS, BRANDON - New Mexico State University; McCord, Sarah; BURKE, RACHEL - New Mexico State University; Courtright, Ericha; DUNIWAY, MICHAEL - Us Geological Survey (USGS); Huggins, David; Moriasi, Daniel; Newingham, Beth; Pierson Jr, Frederick; Tatarko, John; TEDELA, NEGUSSIE - Bureau Of Land Management; Toledo, David; Van Pelt, Robert - Scott; Van Zee, Justin

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 6/9/2020
Publication Date: N/A
Citation: N/A

Interpretive Summary: Wind erosion can reduce the productivity of agroecosystems, affect human health, ecosystem services and climate. Wind erosion selectively removes fine soil particles, nutrients and carbon, which degrades air quality, reduces soil productivity and decreases ecosystem resilience to climate change. Wind erosion therefore influences the effectiveness of efforts to mitigate climate change and adapt agriculture to a changing climate. The ability to conveniently access information on soil erosion rates and interpret likely responses to management is critical for land managers to make informed selections of conservation practices. Further, evaluating erosion information in the context of other ecosystem services a key step for managers in identifying and addressing trade-offs among practices to meet management objectives. The National Wind Erosion Research Network, established in 2014 as a multi-partner effort with the USDA Long-Term Agroecosystem Research (LTAR) network, supports new research into wind erosion across agroecosystems and the development of new tools and information to support management. We present an update on the development of an Aeolian Erosion (AERO) model using network data and its application to standardized vegetation monitoring datasets across western US rangelands. We describe the development of an online system that connects big monitoring datasets and AERO with ecological information to provide a framework for linking soil erosion information to conservation practices. Such a system will enable the display of dynamic (updateable) erosion information alongside other indicators of ecosystem services, as well as provide a rapid, low-cost assessment of where and when erosion could be a resource concern. We show how benchmarks established using AERO can help managers avoid crossing structural and functional thresholds in ecosystems that impact climate change mitigation and adaption efforts.

Technical Abstract: Managing wind erosion is an urgent challenge for maintaining productive agroecosystems, mitigating human risk, and maintaining ecosystem services under a changing climate. Wind erosion selectively removes fine soil particles, nutrients and carbon, which degrades air quality, reduces soil productivity and decreases ecosystem resilience to climate stressors. Wind erosion simultaneously impacts carbon stocks and carbon cycling, influences the efficacy of climate change mitigation, and reduces the potential benefits of adaptation strategies. The ability to conveniently access information on soil erosion rates and interpret likely responses to management is critical for land managers to make informed selections of conservation practices. Further, evaluating erosion information in the context of other ecosystem services a key step for managers in identifying and addressing trade-offs among practices to meet management objectives. The National Wind Erosion Research Network, established in 2014 as a multi-partner effort with the USDA Long-Term Agroecosystem Research (LTAR) network, supports new research into wind erosion across agroecosystems and the development of new tools and information to support management. We present an update on the development of an Aeolian Erosion (AERO) model using network data and its application to standardized vegetation monitoring datasets across western US rangelands. We describe the development of an online system that connects big monitoring datasets and AERO with Ecological Site Descriptions (ESDs) and their State-and-Transition Models (STMs) to provide a framework for linking soil erosion information to conservation practices. Such a system will enable the display of dynamic (updateable) erosion information alongside other indicators of ecosystem services in ESDs, as well as provide a rapid, low-cost assessment of where and when erosion could be a resource concern. We show how benchmarks established using AERO can help managers avoid crossing structural and functional thresholds in ecosystems that impact climate change mitigation and adaption efforts.