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A LANDSCAPE APPROACH FOR EVALUATIONG CHANGE IN A SEMI-ARID ENVIRONMENT AND A SUBSEQUENT ANALYSIS OF THE HYDROLOGICAL CONSEQUENCES
Citation:
Kepner, W G., D J. Semmens, C. J. Watts, D. C. Goodrich, AND D A. Mouat. A LANDSCAPE APPROACH FOR EVALUATIONG CHANGE IN A SEMI-ARID ENVIRONMENT AND A SUBSEQUENT ANALYSIS OF THE HYDROLOGICAL CONSEQUENCES. Presented at International Conference "60 Years of Remote Sensing of Natural Resources: Milestones and Perspectives", St. Petersburg, Russia, June 1-5, 2004.
Impact/Purpose:
The primary objectives of this research are to:
Develop methodologies so that landscape indicator values generated from different sensors on different dates (but in the same areas) are comparable; differences in metric values result from landscape changes and not differences in the sensors;
Quantify relationships between landscape metrics generated from wall-to-wall spatial data and (1) specific parameters related to water resource conditions in different environmental settings across the US, including but not limited to nutrients, sediment, and benthic communities, and (2) multi-species habitat suitability;
Develop and validate multivariate models based on quantification studies;
Develop GIS/model assessment protocols and tools to characterize risk of nutrient and sediment TMDL exceedence;
Complete an initial draft (potentially web based) of a national landscape condition assessment.
This research directly supports long-term goals established in ORDs multiyear plans related to GPRA Goal 2 (Water) and GPRA Goal 4 (Healthy Communities and Ecosystems), although funding for this task comes from Goal 4. Relative to the GRPA Goal 2 multiyear plan, this research is intended to "provide tools to assess and diagnose impairment in aquatic systems and the sources of associated stressors." Relative to the Goal 4 Multiyear Plan this research is intended to (1) provide states and tribes with an ability to assess the condition of waterbodies in a scientifically defensible and representative way, while allowing for aggregation and assessment of trends at multiple scales, (2) assist Federal, State and Local managers in diagnosing the probable cause and forecasting future conditions in a scientifically defensible manner to protect and restore ecosystems, and (3) provide Federal, State and Local managers with a scientifically defensible way to assess current and future ecological conditions, and probable causes of impairments, and a way to evaluate alternative future management scenarios.
Description:
Vegetation change in the American West has been a subject of concern throughout the past century. Although many of the changes have been recorded qualitatively through the use of comparative photography and historical reports, little quantitative information has been available on the regional or watershed scale. During the past two decades, important advances in the integration of remote imagery, computer processing, and spatial analysis technologies have been used to better understand the distribution of natural communities and ecosystems, and the ecological processes that affect these patterns. These technologies provide the basis for developing landscape measurements that can be integrated within hydrologic models to determine long-term change and make predictive inferences about the future. This case study employs a system of land cover maps generated from a multi-date satellite imagery database which incorporates Landsat Multi-Spectral Scanner (MSS) imagery from the early 1970s, mid 1980s, and early 1990s and Landsat Thematic Mapper (TM) imagery from 1997. It has been tested over the Upper San Pedro Watershed (U.S./Mexico) where results indicate that extensive, highly connected grassland and desertscrub areas are the most vulnerable ecosystems to fragmentation and actual loss due to encroachment of xerophytic mesquite woodland and urbanization. Changes in surface vegetation have important impact for the hydrology of the region, since the energy and water balance characteristics for these cover types are significantly different. Landscape change was examined relative to its impact on surface water conditions, e.g. sediment yield and surface runoff. Changes in hydrological outputs were estimated for the period of 1973-1997 using hydrological process models and land cover derived from Landsat satellite platforms.