DOI: 10.1016/j.jag.2012.11.004
Scopus记录号: 2-s2.0-84880262492
论文题名: Assessing and modeling moose (alces alces) habitats with airborne laser scanning data
作者: Melin M ; , Packalén P ; , Matala J ; , Mehtätalo L ; , Pusenius J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 389
结束页码: 396
语种: 英语
英文关键词: ALS
; GPS-tracking
; Habitat analysis
; Moose
Scopus关键词: airborne sensing
; deer
; forest resource
; GPS
; habitat selection
; habitat structure
; laser method
; three-dimensional modeling
; tracking
; vegetation structure
; Finland
; Alces alces
; Animalia
英文摘要: In the analysis of forest resources, the use of ALS (airborne laser scanning) enables detailed three dimensional (3D) descriptions of forests and their vegetation. Simultaneously, ecologists have recognized that 3D information on vegetation is highly important in analyzing the habitat suitability of a given site. Recently, animals' habitat preferences have been analyzed, for example, with GPS-collared animals. This has resulted in detailed knowledge about the animals' movements both spatially and temporally. This study combines 3D information on vegetation obtained from ALS data with information about animal locations from GPS data. The aim was to map and analyze the habitat preferences of moose. The study area was located on the west coast of Finland. The data consisted of 18 GPS-collared moose (monitored from 2009 to 2010) and ALS data collected in 2010. We investigated how habitat structure changes as a function of distance to observed moose locations and how observed moose locations differ from randomly selected locations in terms of 3D structure. We also created a model-based habitat suitability map and tested it against moose occurrences. The results suggested that there are clear differences between the areas occupied and not occupied by moose and that these differences can be detected from ALS data. More importantly, ALS proved its potential in linking 3D descriptions of vegetation directly to observed moose locations without any proxy variables. These observations strongly support future studies. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79863
Appears in Collections: 气候变化事实与影响
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作者单位: University of Eastern Finland, Department of Forestry, P.O. Box 111, 80101 Joensuu, Finland; Finnish Forest Research Institute, P.O. Box 68, 80101 Joensuu, Finland; Finnish Game and Fisheries Research Institute, Yliopistokatu 6, 80100 Joensuu, Finland
Recommended Citation:
Melin M,, Packalén P,, Matala J,et al. Assessing and modeling moose (alces alces) habitats with airborne laser scanning data[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)