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Mmonitoring On The Forestland Productivity Evolution Based On Remote Sensing

Posted on:2013-02-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:K Y YuFull Text:PDF
GTID:1119330374462778Subject:Forest management
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The forestland productivity is the important foundation of the planting forest, acquisitionthe evolution basic data of the forestland productivity is of great significance for guiding forestresource management, promoting the matching tree species with site, mining the potential offorest resources, lifting the forestland productivity and promoting the forest sustainabledevelopment. The soil physical and chemical properties such as soil organic matter and soilmoisture were measured with118sampling points in Yong'an city were layouted on August14,2008to September29,2008.The forestland productivity and the forestland fragile were estimatedby using the remote sensing data on1999and2008,combining forestland soil organic matterthematic map and soil erosion map in Yong'an city on1999and2008which provided byNational Natural Science Foundation《On the Inversion Technique of the Forestland Site QualityBased on Remote Sensing》(40971043)and the key project of Fujian province science andtechnology program—《On the Industrial Raw Material Forestland Optimization ManagementTechnology Based on Geomatics Technology》(2008N0003). By using entropy catastrophetheory to analysis the development relation between the forestland productivity and theforestland fragility on different periods. The forestland productivity evolution remote sensingmonitoring model based on single-period remote sensing data was constructed and was used toanalysis on the time-space effect of the forestland productivity evolution in Yong'an city on1999and2008. The forestland suitability were determinated on the basis of the effect factors such asthe evolution and fragility of forestland productivity in Yong'an city by developing in the study,which would provide aided basis for the optimal management of forestland resource and forestrysustainable development in Yong'an city. The main results are the following:(1) The9forest types thematic information which include masson pine, bamboo forest,broadleaf forest, eucalyptus, economic forest, Chinese Fir, shrub, open forestland and otherwoodland were extracted by using object-oriented methods and the remote sensing on1999and2008, the classification accuracy is90.63%in1999and86.54%in2008,the Kappa coefficient is0.8934in1999and0.8419in2008.(2) The forestland productivity remote sensing estimation model in Yong'an city wasconstructed on the basis of the forestland productivity estimation influencing factors and theQuantification Theory I method, according the traditional grade of forestland site quality and the estimation accuracy is81.15%:forestlandproductivity=3.432370.14864×slope1+0.63546×slope2+0.13683×slope3+0.50472×aspect1+0.81227×aspect2+0.2211×aspect30.20431×altitude1-0.63461×altitude2+1.32375×soilthickness1+0.31163×soilthickness20.40069×erosion10.54288×erosion20.6219×erosion3+0.00087×organicmatter0.00028×NPP0.09522×humus(3) By selecting rainfall R factor, slope, amplitude of landforms, soil erosion K and humandisturbance index as the factors of forestland fragility evaluation indices, the forestland fragilitywas determinated with the factors weight which were work by the Fuzzy Analytic Hierarchy andthe advices from the relevant experts.(4) By analysing the forest using structure information with the help of the entropy theory,the forest using structure comentropy is0.7404in1999and0.7858in2008, the forestlandproductivity hierarchical comentropy is0.5468in1999and0.5624in2008in Yong'an city. Byanaslysing the correlation between the forestland fragility and the forestland qulity site08/09structured by the forestland productivity ratio between2008and1999, the results showed thatthe protection which had promoted the development of the highest Fragilityforestlandproductivity were put on the high Fragilityof regional in Yong'an city in the last10years.(5) The forestland productivity entropy tine catastrophe model were structured with the theforestland productivity "entropy" in1999and2008structured in the paper and the Fragilitygradefor step length, the entropy catastrophe theory was firest used on the analysis of correlationbetween the forestland productivity evolution in different periods and Fragilityin yong'an city.The results showed that the forestland productivity catastrophe according to the vulnerabilitiesdid not occur in1999, but occurred in2008.The mean value of the forestland productivityentropy is0.7755in2008which show down trend than the forestland productivity entropy in1999and decline with the Fragility of ascension.(6) By selecting soil organic matter, Net Primary Productivity and soil erosion3factors, theforestland productivity remote sensing monitoring model based on single-period remote sensingdata was structured, the correlation is0.9between the estimated result by the model and theforestland quality site08/99developed in the paper, which showed a consistent regular on theexpression of the forestland productivity evolution.(7) The forestland productivity is divided into "General" and "Good" according to whetherthe productivity level is higher than average. By analysing the correlation among the humandisturbance index, the forestland productivity evolution index estimated by the forestlandproductivity evolution remote sensing monitoring model, the ratio of the forestland site qualityindex which were came from the Chinese Fir, masson pine forestry resource survey samples on1996and2006in Yong'an city,0.9323was determined as the forestland productivity evalution value for different the "General" and "Good" forestland productivity estimated by the forestlandproductivity evolution remote sensing model. The forestland productivity was classified as"General" and "Good" according to the value that the volume of forest tree from forestryinformation database growth is higher than the volume mean value of forest tree growth or not totesting the effective accuracy that estimated by the forestland productivity evolution remotesensing model, the result showed the accuracy is81.95%.(8) The time-space effect of the forestland productivity evolution were analysed by theevolution of the forestland productivity in Yong'an city from1999to2008which were classifiedas4level such as "general keeping","good keeping","general to good" and "good to general"and combining with the factors such as fragility,the grade of forest site quality, ecological publicwelfare forest and commodity forest, slope and the useful forestland. The result shows that theworst decline in the forestland productivity are eucalyptus and economical forest, the worsedecline in the forestland productivity is Chinese Fir forest, the forestland productivity of massonpine and bamboo forest are better, the forestland productivity has been promoted in the seriousFragilityregional.(9) By utilizing samples data of water, soil density and soil total porosity which obtainedand measured from soil plots set in the paper, the thematic information map of forestlandwater,soil density and total porosity were extracted with the help of the inverse distanceweighted interpolation method based on GIS, the interpolation estimating precision of more than95%.(10) The forestland suitability were evaluated by the forestland suitability evaluation indexsystem which were structured by the10factors such as the forestland productivity evolutionindex, the forestland productivity, the forestland fragility, the forestland soil erosion, slope,aspect, altitude, water, soil density and soil total porosity and the AHP(analytic hierarchyprocess) method, the0-10class assignment method, the Comprehensive index. The suitability offorestland were classified into three grade with "better suitability","general suitability" and "badsuitability" according to the score of forestland suitability measured in the paper which has3intervals:more than7.78,6.02to7.78, under6.02, measured based on the Fuzzy ClusterAnalysis and weighted processing. The accumulative area of the "better suitability","generalsuitability" forestland is212693.76hm2, accounting for85.25%,87.43%of commercialforestland is suitable for exploitation and utilization. There are some favorable changes in theforestland of Yong'an city in the last10years, the area of forestland suitable for development islager, all which show that the forestland management is more Advanced in Yong'an city(11) Combining with the grade of forestland productivity, the grade of slope, the grade offragility and the forestland productivity evolution from1999to2008, the area and thedistribution of the suitable forestland were analysed and measured. The results show that there are significant relationship between the slopes and the level of forestland productivity in thechanges of forestland suitability, the more forestland area for development the more high level inthe commercial forestland productivity, the forestland area for development is decline and thearea of the "bad suitability" forestland is rising along with the ascending of the fragility andslope, the forestland productivity is decline or the forestland productivity level is low than theaverage productivity. The main area of the bad suitability forestland in the commodityforestland are on the slope in grade3,4and the declining productivity forestland, all whichdemonstrated the forestland suitability in the paper are more reasonal and applicability.
Keywords/Search Tags:Forestland productivity, Fragility, Forestland suitability, Remote sensing, evolution, Monitoring, Yong'an city
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