Targeted subfield switchgrass integration could improve the farm economy, water quality, and bioenergy feedstock production-Reference-Cited by-同舟云学术

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Targeted subfield switchgrass integration could improve the farm economy, water quality, and bioenergy feedstock production

Published:2017-10-16 Issue:3 Volume:10 Page:199-212
ISSN:1757-1693
Container-title:GCB Bioenergy
language:en
Short-container-title:GCB Bioenergy

Author:

Brandes Elke¹^ORCID,McNunn Gabe S.¹²,Schulte Lisa A.³,Muth David J.²,VanLoocke Andy¹,Heaton Emily A¹

Affiliation:

1. Department of Agronomy Iowa State University 716 Farm House LnAmes IA 50011 USA

2. AgSolver Inc. 2321 North Loop Drive Suite 108 Ames IA 50010 USA

3. Department of Natural Resource Ecology and Management Iowa State University 2310 Pammel DrAmes IA 50011 USA

Funder

Iowa State University

U.S. Department of Agriculture

Publisher

Wiley

Subject

Waste Management and Disposal,Agronomy and Crop Science,Renewable Energy, Sustainability and the Environment,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12481

Reference68 articles.

1. Differences in Phosphorus and Nitrogen Delivery to The Gulf of Mexico from the Mississippi River Basin

2. Targeting perennial vegetation in agricultural landscapes for enhancing ecosystem services

3. Development of integrated bioenergy production systems using precision conservation and multicriteria decision analysis techniques

4. Subfield profitability analysis reveals an economic case for cropland diversification

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1. Modeling N₂O emissions with remotely sensed variables using machine learning;Environmental Research Communications;2024-09-01

2. Perennializing marginal croplands: going back to the future to mitigate climate change with resilient biobased feedstocks;Frontiers in Energy Research;2024-01-15

3. Consideration of nutrition and sustainability in public definitions of ‘healthy’ food: an analysis of submissions to the US FDA;Public Health Nutrition;2024

4. Marginal agricultural land identification in the Lower Mississippi Alluvial Valley based on remote sensing and machine learning model;International Journal of Applied Earth Observation and Geoinformation;2023-12

5. Sustaining crop yield and water quality under climate change in intensively managed agricultural watersheds—the need for both adaptive and conservation measures;Environmental Research Letters;2023-11-14

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