Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and runoff

Iara L Lacher; Ebrahim Ahmadisharaf; Craig Fergus; Thomas Akre; William J Mcshea; Brian L Benham; Karen S Kline

doi:10.1016/j.scitotenv.2018.09.370

Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and runoff

Sci Total Environ. 2019 Feb 20:652:611-622. doi: 10.1016/j.scitotenv.2018.09.370. Epub 2018 Oct 9.

Authors

Iara L Lacher¹, Ebrahim Ahmadisharaf², Craig Fergus³, Thomas Akre⁴, William J Mcshea⁵, Brian L Benham⁶, Karen S Kline⁷

Affiliations

¹ Smithsonian Conservation Biology Institute, 1500 Remount Rd, Front Royal, VA 22630, United States of America. Electronic address: LacherI@si.edu.
² Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States of America. Electronic address: eahmadis@vt.edu.
³ Smithsonian Conservation Biology Institute, 1500 Remount Rd, Front Royal, VA 22630, United States of America. Electronic address: FergusC@si.edu.
⁴ Smithsonian Conservation Biology Institute, 1500 Remount Rd, Front Royal, VA 22630, United States of America. Electronic address: AkreT@si.edu.
⁵ Smithsonian Conservation Biology Institute, 1500 Remount Rd, Front Royal, VA 22630, United States of America. Electronic address: McSheaW@si.edu.
⁶ Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States of America. Electronic address: benham@vt.edu.
⁷ Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States of America. Electronic address: klinek@vt.edu.

PMID: 30368190
DOI: 10.1016/j.scitotenv.2018.09.370

Abstract

We coupled a spatially-explicit land use/land cover (LULC) change model, Dinamica EGO, (Environment for Geoprocessing Objects), with the Chesapeake Bay Watershed Model (CBWM) to project the impact of future LULC change on loading of total nitrogen (TN), total phosphorous (TP) and total suspended solids (TSS) as well as runoff volume in the watersheds surrounding Virginia's Shenandoah National Park in the eastern United States. We allowed for the dynamic transition of four LULC classes, Developed, Forest, Grasses (including both pasture and hayfields) and Crops. Using 2011 as a baseline scenario and observed differences in LULC between 2001 and 2011, we estimated the temporal and spatial patterns of LULC change as influenced by physiographic and socio-economic drivers 50 years in the future (2061). Between transitions of the four LULC classes, the greatest absolute change occurred between the gain in total Developed land and loss in total Forest. New Developed land was driven primarily by distance to existing Developed land and population density. Major findings on the effect of LULC change on watershed model outputs were that: the impact of LULC change on pollutant loading and runoff volume is more pronounced at finer spatial scales; increases in the area of Grasses produced the greatest increase in TP loading, while loss of Forest increased TN, TSS, and runoff volume the most; and land-river segments with a greater proportion of Developed or a smaller proportion of Forest in the 2011 scenario experienced a greater change in runoff than other land-river segments. Results of this study illustrate the potential impact of projected LULC change on nutrient and sediment loads which can adversely impact water quality. Studies like this contribute to a broader understanding of how ecosystem services such as fresh water respond to LULC change, information relevant to those in planning and watershed management.

Keywords: Dinamica EGO; Land use/land cover change; Nutrients; Runoff; Sediment; Watershed modeling.