Identifying wetland meadows in Grand Teton National park using remote sensing and average wetland values

被引:14
作者
Kindscher K. [1 ]
Fraser A. [1 ]
Jakubauskas M.E. [2 ]
Debinski D.M. [3 ]
机构
[1] Kansas Biological Survey, University of Kansas, Lawrence, KS 66047-2906
[2] Department of Geography, University of Oklahoma, Norman
[3] Department of Animal Ecology, Iowa State University, Ames
关键词
average wetland values; multispectral; obligate wetland species; prevalence index; remote sensing; satellite imagery; wetland delineation; Wyoming;
D O I
10.1023/A:1008265324575
中图分类号
学科分类号
摘要
Six spectrally and ecologically distinct montane meadow community types were identified and mapped within Grand Teton National Park by analysis of Indian IRS-1B LISS-11 imagery. A distinct hydric-to-xeric gradient among the meadow types was predicted by analysis of the satellite data. Thirty sites (five replicates for each of six meadow types) were selected for intensive field sampling. At each of the 30 sites, meadow vegetation was sampled in 20 m by 20 m square plots for canopy cover of all species. Using wetland indexes (on a scale of 1-5, where oblique wetland species = 1, facultative wetland = 2, facultative = 3, facultative upland = 4 and upland species = 5), average wetland values were calculated and ranged from 1.88 for A-type meadows and 2.86 for B meadows to 4.40, 4.49, 4.74, and 4.43 for C, D, E and F meadows, respectively. Because average wetland vaues of A and B meadows were →3.00, they were determined to be indicative of wetlands. Eight out of ten obligate wetland plants had their greatest cover on A meadows (the wettest of the gradient) and had significant cover differences among meadow types using the non-parametric Kruskai-Wallis test. Average wetland values and plant species cover were used, in conjunction with remotely sensed data, to identify as wetlands 1,258 hectares of A meadows and 1,711 hectares of B meadows within Grand Teton National Park.
引用
收藏
页码:265 / 273
页数:8
相关论文
共 21 条
[1]  
Daubenmire R.F., A canopy coverage method of vegetation analysis, Northwest Sci., 33, pp. 43-64, (1959)
[2]  
Corps of Engineers Wetlands Delineation Manual, (1987)
[3]  
Hofstetter R.H., Wetlands in the United States, Ecosystems of the World, 4 B, pp. 201-244, (1983)
[4]  
Jensen J., Introductory Digital Image Processing: A Remote Sensing Perspective, 2nd Ed., (1996)
[5]  
Jensen J., Narumalani S., Weatherbee O., Morris K.S., Mackay H.E., Predictive modeling of cattail and waterlily distribution in a South Carolina reservoir using GIS, Photogram. Engr. Remote Sens., 58, 11, pp. 1561-1568, (1992)
[6]  
Jensen J., Narumalani S., Weatherbee O., Mackay H.E., Measurement of seasonal and yearly cattail and waterlily changes using multidate SPOT panchromatic data, Photogram. Engr. Remote Sens., 59, 4, pp. 519-525, (1993)
[7]  
Knight D.H., Mountains and Plains: The Ecology of Wyoming Landscapes, (1994)
[8]  
Lyon J.G., Practical Handbook for Wetland Identification and Delineation, (1993)
[9]  
Lyon J.G., Greene R.G., Use of aerial photographs to measure the historical areal extent of Lake Erie coastal wetlands, Photogram. Engr. Remote Sens., 58, 9, pp. 1355-1360, (1992)
[10]  
Marston R.A., Anderson J.E., Watersheds and vegetation of the Greater Yellowstone Ecosystem, Conser. Biol., 5, pp. 338-346, (1991)