Abstract
The use of GIS in concert with simple or complex simulation modeling provides an unparalleled way to generate new data and to help a variety of audiences understand spatial patterns of data. From improved understanding, policy incentives can be crafted to reduce adverse environmental impacts of agricultural production at lower costs than would be necessary otherwise. In this chapter, two case studies demonstrate how GIS and modeling can be used to understand how crop selection and soils interact to effect environmental outcomes across an agricultural landscape.
| Original language | English (US) |
|---|---|
| Title of host publication | GIS Applications in Agriculture |
| Subtitle of host publication | Volume Two: Nutrient Management for Energy Efficiency |
| Publisher | CRC Press |
| Pages | 395-424 |
| Number of pages | 30 |
| ISBN (Electronic) | 9781420092714 |
| ISBN (Print) | 9781420092707 |
| State | Published - Jan 1 2011 |
Bibliographical note
Publisher Copyright:© 2011 by Taylor & Francis Group LLC.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy
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