Landscape Dynamic Changes of Small Lakes in Bosten Lake
ZHANG Hao
LI Xinguo
YAN Kai
LIU Bin
Abstract:Taking the small lakes of Bosten Lake as the study area,with five different time phase of the Landsat images as the basic data sources,using landscape conversion coefficient was analyzed,combining with the landscape transformation,the Lake landscape dynamic change characteristics of the study area were analyzed in recent 22 years.The results showed that:the characteristics of the wetland landscape area accounted for 50 % to 54 %,and the dry-land landscape area accounted for 46 % to 50 %,and the dry land landscape area and wet area was the biggest difference between 8%;From 1994 to 2001 to convert an amplitude of landscape 172.8km2,21.3% of the total area,the wetland landscape conversion phase,the overall conversion to wet patch of landscape;From 2001 to 2015 the conversion margin of landscape reduced-168.7km2,20.4% of the total area,the upland landscape conversion phase,the overall conversion to dry-land landscape plaque;Effluents from 1994 to 2006 in the study area with conversion coefficient for plus or minus three large area landscape transformation was given priority to,strong on the dynamic change of dry wet,maximal change area was mainly distributed in the study area on the north side of the edge area,moderate internal changes;Wetland from 2006 to 2015 in conversion coefficient of plus or minus 1,plus or minus 2 small area landscape transformation was given priority to,dry wet dynamic change relatively moderate,stability,small lakes internal landscape type change was weak,mainly area of the landscape changes in the outside part of the small lake region.
Keywords:Landscape dynamicsLandscape transition magnitudeLandscape transition coefficientLandsat imagesSmall lakes in Bosten Lake
Publication Date:2017-01-01
Online Publishing Date:2026-05-22(First online date of this platform, not the publication date of the document)
Pages:8( 23-30 )
Transactions of Oceanology and Limnology

Transactions of Oceanology and Limnology

PKUISTIC
ISSN:1003-6482
Year, Vol.(Issue):2017,(3)