ESRI Conservation Program Resources:

Habitats & Wildlife Papers 1

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(ECP and CTSP grantees, reports, and other sites of interest for conservation geograpy, mapping and GIS. Grantees are coded by program and year of grant at the end of their name/state, i.e. e91 means ECP grant in 1991. c=cstp, cm=ctsp-mac, cs=ctsp-software)


A 12-STEP PROGRAM FOR CREATING A MONITORING PROGRAM, by Sam Droege, U.S. Geological Survey, Patuxent Wildlife Research Center, 11410 American Holly Drive, Laurel, MD 20708-4015

Analyzing Wildlife Movement Corridors in Montana Using GIS (1997 ESRI paper: Richard Walker, American Wildlands, 40 East Main Street, Suite 2, Bozeman, MT 59715, Telephone: 406-586-8175 Fax: 406-586-8242 E-mail: amwild@mcn.net, Lance Craighead ) . "We analyzed probable movement routes for wildlife between the three large core reserves in the Northern Rockies using an ArcInfo and GRID-based GIS. Our approach was multitiered and consisted of habitat suitability models combined with movement simulation models. The first approximation used simple vegetation cover categories and a road density layer to describe suitable habitat for three "umbrella" species: grizzly bear, elk, and mountain lion. A least-cost-path analysis located broad potential corridor routes. A second approximation used more precise vegetation cover categories derived from Montana Gap Analysis data, topographical layers, and the actual road location to define suitable habitat for these three species. A more sophisticated individual animal movement simulation model was developed to locate routes within the resultant grid. These techniques identified probable movement routes and pinpointed critical barriers, bottlenecks, and filters where corridor routes intersected with high-risk habitat. This analysis is being used to identify priority areas for wildlife management to improve the connectivity between the core reserves. "

CALIFORNIA SALMONID HABITAT INVENTORY: A DYNAMIC SEGMENTATION APPLICATION (1995 ESRI Conf Paper, Michael Byrne) Over the past few decades native California salmonid populations and habitat rapidly declined. In order to help restore the fishery, the California Department of Fish and Game established standard protocols for assessing fish populations and habitat. The ArcInfo Dynamic Segmentation process associates fish habitat data with existing stream data. Arc Macro Language scripts were developed to correct stream data and create route topology. Using ArcView software, remote field personnel can perform spatial analysis with the habitat data. From Oregon to Sonoma County, 290 salmonid spawning streams (766 miles of stream) have been surveyed and georeferenced using this protocol. Spatial habitat data in the hands of regional biologists improves the salmonid habitat restoration site evaluation and/or selection process.

Delineation of Canyons for Mexican Spotted Owl Habitat (1995 ESRI Conf. Abstract, Maggie Morris, Kevin Johnston, and Kate Grandison)...Inventories have located the owls almost exclusively in steep- walled canyons that fall within an identified range of elevation, canyon width, and canyon depth. The GRID module of ArcInfo was used to delineate canyons and record width and depth through these canyons in order to provide researchers with the capability of interactively displaying areas within specified ranges and performing further statistical analysis.

The Development and Verification of a Habitat Map Using ArcInfo . (1997 ESRI paper: Karen Joy Dorweiler Bureau of Land Management Box 2000 N. Palm Springs, CA 92256 Telephone: 619-251-4822 Fax: 619-251-4899 E-mail: kjay@mci2000.com) . This project was undertaken on behalf of the Northern and Eastern Colorado Desert Coordinated Management Plan for the United States Bureau of Land Management. The study area is comprised of 5.2 million acres in southeast California. The habitat map was developed using ARCGRID. The intention was to produce a map that reflected not only plant communities, but also habitat useful to wildlife. Data from California GAP Analysis, satellite imagery, and GPS collection were combined to create the final grid. The resulting grid identified 11 communities. To assess the accuracy of the grid, random points were selected in each community. Factors considered in point selection were the size of the area, relative importance/rarity of the community, and quality of the input data. These points were then plotted on the overlay maps for use in field verification. This paper will outline techniques for combining data in ARCGRID, selection of random points in ArcInfo, and the verification of data. A summary of communities and sample sizes will be included. The paper will also discuss the preliminary results of the field surveys.

Evaluating Bobcat Viability in the Santa Monica Mountains, California (1995 ESRI Conf. Abstract, Denise Kamradt) ...We combined existing research on bobcat habitat requirements with geographic land use data to identify potential bobcat habitat. A field-based track survey, focused on habitat adjacent to rural and suburban development, was undertaken in an attempt to detect actual presence of bobcats within the modeled habitat. Relatively remote "core" areas were sampled as controls. Subsequently, we employed the GRID module of ArcInfo to assess current configuration of bobcat habitat, including patch connectivity, patch size and habitat protection status.

Forest Elephant Distributions in Relation to the Distance from Roads in Gabon (1995 ESRI Conf. Abstract, Karen Beardsley, Richard Barnes)...Using ArcInfo geographic information system, buffer zones were generated around the road network of Gabon and the equations derived from field sampling were used to estimate the dung density in each buffer zone. The forest elephant population was estimated to be 74,842 with asymmetric conference limits from 50,371 to 108,823.

GIS Modelling for Owl Habitat Prediction in Forests (1996 ESRI Conf. Abstract, Harsh Verma)..The State Forests of New South Wales is entrusted with the responsibility of managing, caring and sustaining the forests of New South Wales state in Australia....Owl habitat prediction in forests is one such application of GIS modelling. ArcInfo, in particular GRID is used for analysing various topographic, climatic and vegetation type layers for generating data for statistical package. The results were analysed and maps produced for showing the potential owl habitat within the forests.

Habitat Modeling of Key Species with GIS for a Holistic Regional Planning Approach . (1997 ESRI paper: Thomas Blaschke Salzburg University, Salzburg, 5020 AUSTRIA Telephone: 43662 80445232 Fax: 436628044525 E-mail: thomas.blaschke@sbg.ac.at ) . The alluvial floodplain of the river Salzach (Austria, Germany) provides a spatially complex habitat for a variety of species of specific interest. In order to create fine-scale digital biodiversity maps, attributes that were mapped included vegetation community type and structure (canopy size class), land use, and soil. The area will become a Natura 2000 area, which is a protection category under the umbrella of the European Union. The databases will be used for a number of natural resource and land management planning applications. The usefulness and limitations of these data for evaluating the effect of riparian forest fragmentation are illustrated through the viability of various amphibian species, functioning as management indicator species. Habitat suitability models were developed and evaluated for their ability to capture known spawning sites in the remaining riparian forests. The resulting habitat-quality maps will be used as input for a spatially explicit simulation model of indicator species population dynamics, which includes demographic parameters. The analytical, modeling and predictive potentials can supplement traditional descriptive conservation inventories.

The Malaysian Elephant Satellite Tracking Project (Principal Investigators: Dr. Michael Stuewe (nzpem001@sivm.si.edu) Dr. Chris Wemmer (nzpem002@sivm.si.edu) Conservation & Research Center, Smithsonian Institution, Front Royal, VA 22630, USA Tel: +1-540-635-6500 Fax: +1-540-635-6551 , Principal Investigator: Mohd. Burhannudin Nor (kp@jphltn.sains.my) Dept. Wildlife and National Parks Jalan Cheras, Km 10 50664 Kuala Lumpur, Malaysia Tel: +60-3-905-2872 Fax: +60-3-905-2873 ) "One of the Malaysian Wildlife Department's (DWNP) tasks is to help landowners reduce crop damage caused by wildlife. Elephants can cause great damage to plantations. To reduce that damage, DWNP has developed an elephant trans-location program...The main goal of this project is to evaluate the success of the elephant trans-location program. "

Using Address Matching to Derive In-Stream Fish Habitat Unit Locations (1995 ESRI Conf. Abstract, Michael F. Martischang, Steven A. Carlson) ...Watercourse and fish habitat unit address data structures and calculation procedures were developed for Grouse Creek (northern California) so address matching (geocoding) functions of a vector geographic information system (GIS--pcArcInfo) could be used to derive locations of main- and side-channel fish habitat features from previously collected habitat data sets.

Using a GIS in Habitat Conservation Planning . (1996 ESRI Conf. Paper, Jeff Campbell, Jim Schriever)...This paper discusses the use of GIS in developing habitat conservation plans. These large scale planning efforts required extensive amounts of data including a variety of GIS data layers....In addition to integrating existing proprietary data, digital data from public or other sources was used to create the extensive coverages necessary for watershed and/or conservation planning efforts. Finally, Landsat TM image data can be used to generate current vegetation conditions that are consistent across ownerships and assist in change detection analysis for monitoring....The resulting database and analysis results were utilized as an aid to resource managers in making more informed decisions with regards to a wide array of land planning issues.


All text by the respective organizations, January 2, 1997

Compilation & web design: Charles Convis, ESRI Conservation Program, April 2, 1996

 

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