000			02194nam a22003013a 4500
001			UPMIN-00004810106
003			UPMIN
005			20221123143931.0
008			221123b |||||||| |||| 00| 0 eng d
040			_aDCL _cUPMin _dupmin
041			_aeng
090		0	_aLG993.5 2010 _bA64 B35
100			_aBalbon, Shiena Mae P.
245			_aDouble principal coordinate analysis (DPCoA) for fishes in Lake Mihaba with respect to their diet composition
260			_c2010
300			_a72 leaves.
502			_aThesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010
520	3		_aLake Mihaba, one of the fishing camp in Agusan Marsh, is a home of a variety of fish species. In this camp, there have been several studies on the species composition which include Talde et. al. (2004), who used dietary index to measure the important food items that the fishes consumed. However, they did not consider differences between fish species with respect to their differences in food items. Using the same data gathered by Talde et al. (2004), this study made use of DPCoA to analyze the fish diet composition in Lake Mihaba of Agusan Marsh. Abundance and incidence distributions were considered in this study. The abundance distribution comprises the volume of food items consumed by fish species while the incidence distribution consists of the occurrence of food items in the guts of fish species. Further, two dissimilarity measures were developed. Using the first dissimilarity matrix was able to show fish species with the same taxonomic features shared the same food items. Nonetheless, fish species which does not belong to the group were also found out to compete with the same food items. On the other hand, the second dissimilarity matrix was able to show which fish species were competing for the identified food items regardless of their taxonomic feature.
650	1	7	_aAbundance.
650	1	7	_aDissimilarity matrix.
650	1	7	_aDouble principal coordinate analysis (DPCoA).
650	1	7	_aIncidence distribution.
650	1	7	_aTaxonomic feature.
658			_aUndergraduate Thesis _cAMAT200
905			_aFi
905			_aUP
942			_2lcc _cTHESIS
999			_c2473 _d2473