Research On Forest Landscape Pattern Change In Enshi And Its Driving Forces Based On 3S Technology

The development of the society has an impact on the nature that changed the ecosystem.Forest as a vital part of terrestrial ecosystem what plays an important role in maintaining ecosystem balance and protecting environment.With the help of the software of the RIPS,including the ENVI,Erdas image,ArcGis and the other software of the Google earth and Fragststs,the paper choiced Enshi forest as the objection and based on the remote images of the year of 1999,2009 and 2015.Taking forest survey data into considerion,the paper applied landscape ecology theory to analyze landscape pattern in three period time.Finally,it found out the driving factors from qualitative and quantitative methods.It can provide example for forest resource management and sustainable development,in otherwise,and could give a reference on other similarity city in the Karst.The results prove that:(1)The period of 1999 to 2015,forest from 1541762hm~2 increased to1688554hm~2,shrub forest,suitable forest and non-forestry land decreased and farmland kept stable.Arbor forest and non-forest increased,the former increased20051.2hm~2/year,the latter'data is 1152.4hm~2/year.Shrub forest and non-forestry land'area of the year variation were negative,and the area of the suitable forest dynamic had a relative fluctuation.(2)At the landscape level,the area's broken degree increases,from the data of that patches changed a little,patch density and connectivity index increased.The heterogeneity of forest landscape decreased on the basis of data that its diversity index and evenness index decreased and the structure had an trend to be simple,and the average patch index's changed.(3)The paper adopt Principal Component Analysis and Multiple Regression Model to analysis forest landscape drive mechanism pattern.First,the study used PCA from 21 indicators of social and nature to find factors that had a huge impact on forestry pattern.Second,the study used Correlation Analysis and Multi-dimensional Regression Equation.Through those analysis,the study had a result that driving factors were Annual average temperature,Return the grain plots to forestry,Nursery area,Flow population,Non-farm population,Urban personal income,First industry GDP and the Service industry GDP.The paper proved that society and nature had constructive impact on forest dynamic changing.The social factors effects its development,the natural factors were basic of the forest pattern.