Integrating human dimensions within the LTAR Network to achieve agroecological system transformation

Meredith, Gwendŵr R.; Bean, Alycia; Brymer, Amanda Bentley; Friedrichsen, Claire N.; Hurst, Zach

doi:10.1016/j.rala.2021.05.002

Cited by 11 publications

(6 citation statements)

References 21 publications

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Section: Discussionmentioning

confidence: 61%

“…2020; Cobon et al 2021; Liu et al 2021). Having the ability to verify climate and plant production forecasts has been previously identified as a critical requirement for adoption of this technology by the professional rangeland manager community (Hardegree et al 2018; Meredith et al 2021a; Meredith et al 2021b). The results of this study, along with others, indicate that climate forecast skill across the CAG is reasonable enough to justify taking further steps in application development to include stakeholder input, evaluation of human dimensions aspects, and economic analysis of these seasonal production forecasting tools (Hartmann et al 2002; Schneider and Garbrecht 2003; Fraisse et al 2006; Klemm and McPherson 2017; Liu et al 2021; Meredith et al 2021a).…”

Section: Discussionmentioning

confidence: 99%

“…As the ultimate objective of this type of study is to determine if produc-tion forecasting skill is sufficient to inform management, we evaluated the PPM's utility in estimating plant production across the growing season in the CAG using a series of multiple linear regression models created from variables identified in the PPM using JMP (SAS Institute Inc. 2023). We recognize, however, that this is just the first step in the development of practical forecasting applications, which would also have to assess model error in the context of economics, and the human dimensions aspects of model uncertainty and willingness to accept risk ( Hansen 2002 ;Hartmann et al 2002 ;Fraisse et al 2006 ;Garbrecht and Schneider 2007;Marshall et al 2011 ;Meredith et al 2021a ).…”

Section: Tablementioning

confidence: 99%

“…Forecasting stakeholder input, evaluation of human dimensions aspects, and economic analysis of these seasonal production forecasting tools ( Hartmann et al 2002 ;Schneider and Garbrecht 2003;Fraisse et al 2006 ;Klemm and McPherson 2017 ;Liu et al 2021 ;Meredith et al 2021a ). Consistent with our first hypothesis, historical climate significantly correlated with climate forecasts across all three study sites for most growing-season-forecasting months (see Tables 3, S1, and S3).…”

Section: Sitementioning

confidence: 99%

See 3 more Smart Citations

Evaluating Multimodel Ensemble Seasonal Climate Forecasts on Rangeland Plant Production in the California Annual Grassland

Schantz

Hardegree

James

et al. 2023

Rangeland Ecology & Management

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Section: Tablementioning

confidence: 99%

Section: Sitementioning

confidence: 99%

See 2 more Smart Citations

Evaluating Multimodel Ensemble Seasonal Climate Forecasts on Rangeland Plant Production in the California Annual Grassland

Schantz

Hardegree

James

et al. 2023

Rangeland Ecology & Management

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“…Kellogg Biological Station (KBS) which is a Long-Term Ecological Research (LTER) and United States Department of Agriculture (USDA) Long-Term Agroecosystem Research (LTAR) site. Sites in the LTAR network conduct common experiments which compare conventional agriculture with proposed aspirational systems across the country to form strategies at the national and regional levels (Meredith et al, 2022). This analysis is part of an interdisciplinary effort to determine baseline treatments for the common experiment at KBS.…”

Section: Introductionmentioning

confidence: 99%

Using three consecutive years of farmer survey data to identify prevailing conservation practices in four Midwestern US states

Guo,

Marquart-Pyatt,

Robertson

2023

Renew. Agric. Food Syst.

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Granular temporal and spatial scale observations of conservation practices are essential for identifying changes in the production systems that improve soil health and water quality and inform long-term agricultural research and adaptive policy development. In this study, we demonstrate an innovative use of farmer practice survey data and what can be uniquely known from a detailed survey that targets specific farm groups with a regional focus over multiple consecutive years. Using three years of survey data (n = 3914 respondents), we describe prevailing crop rotation, tillage, and cover crop practice use in four Midwestern US states. Like national metrics, the results confirm dominant practices across the landscape, including corn-soybean rotation, little use of continuous no-till, and the limited use of cover crops. Our detailed regional survey further reveals differences by state for no-till and cover crop adoption rates that were not captured in federal datasets. For example, 66% of sampled acreage in the Midwest has corn and soybean rotation, with Illinois having the highest rate (72%) and Michigan the lowest (41%). In 2018, 20% of the corn acreage and 38% of the soybean acreage were in no-till, and 13% of the corn acres and 9% of the soybean acres were planted with a cover crop. Cover crop adoption rates fluctuate from year to year. Results demonstrate the value of a farmer survey at state scales over multiple years in complementing federal statistics and monitoring state and yearly differences in practice adoption. Agricultural policies and industry heavily depend on accurate and timely information that reflects spatial and temporal dynamics. We recommend building an agricultural information exchange and workforce that integrates diverse data sources with complementary strengths to provide a greater understanding of agricultural management practices that provide baseline data for prevailing practices.

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The Long‐Term Agroecosystem Research cropland common experiment at Northern Plains

Liebig,

Whippo,

Saliendra

et al. 2024

J of Env Quality

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Cropland agriculture in the northern Great Plains is challenged by variable weather, agricultural intensification, and competing use for energy development. Innovative cropland practices that address these challenges are needed to ensure regional agriculture can sustainably meet future food, fuel, and fiber demand. In response to this need, the Northern Plains Long‐Term Agroecosystem Research Network site established a cropland experiment in 2019 that contrasts prevailing and alternative practices at plot and field scales over a proposed 30‐year time frame. The experimental site is located on the Area IV Soil Conservation Districts Cooperative Research Farm near Mandan, ND. Cropping practices for the first 6 years of the experiment were developed with input from stakeholders and include a 3‐year crop rotation of spring wheat (Triticum aestivum L.), corn (Zea mays L.), and soybean (Glycine max L.) with cover crops (alternative practice) and without (prevailing practice). The prevailing practice also involves the removal of crop residue, while a second alternative practice of perennial forages is included in the plot‐scale experiment. Biophysical measurements are made at both spatial scales at frequencies aligned with approved methods for each agronomic and environmental metric. Findings from the first 6 years of the experiment will help identify tradeoffs associated with cover crop use and residue removal in dryland cropping systems. In the future, the experiment will adopt a knowledge co‐production approach whereby researchers and stakeholders will work collaboratively to identify problems, implement research, and interpret results.

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Integrating human dimensions within the LTAR Network to achieve agroecological system transformation

Cited by 11 publications

References 21 publications

Evaluating Multimodel Ensemble Seasonal Climate Forecasts on Rangeland Plant Production in the California Annual Grassland

Evaluating Multimodel Ensemble Seasonal Climate Forecasts on Rangeland Plant Production in the California Annual Grassland

Using three consecutive years of farmer survey data to identify prevailing conservation practices in four Midwestern US states

The Long‐Term Agroecosystem Research cropland common experiment at Northern Plains

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