Study On The Optimized Conifguration Of The Coastal Protection Forest

The coastal protection forest is belong to coastal forestry ecologicalengineering, it has being played the key role on windbreak and sandfixation, erosion prevention in coastal areas due to its particularity ofgeographical position. On the other hand, it is also a fragile ecosystem andsensitive areas of global climate change, coupled with the earlyconstruction mode of centralized planting, single afforestation, and fewforest tree species, which lead to the lack of structure, distemperedness inprotection function, and frequency in natural disasters, The double impactfrom nature and human is threatening the internal stability and protectionfunction of coastal protection forest. Thus it becomes the primary problemto maximize ecological, economic and social benefits, needed to be solvedurgently in current coastal protection forest study, which is about to findinga way that is help to realize the Optimization of coastal protection foreststructure model and optimal allocation in tree species. This paper is aimedat optimizing the coastal protection forest distribution. In this paper, thecoastal protection forest sand fixation model,which focus on sand fixationeffectiveness and can be used to evaluate the proportion of VegetationCoverage, which is built by analyzing dates with factor analyse methods,the dates are based on the remote-sensor image in2003in study areas andthe result of forest management inventory; the optimal type of vegetationare determined in the guidance of Close to Nature Forestry Theory; theforest tree species and their locations are determined by the suitability ofdominant species;as a result of the optimization, subcompartments,whichdo not play an effective role in sand fixation, are adjusted to make themclose to the ideal model. The main results are as follows: 1. Having vegetation index (NDVI of VARI and MSAVI), slope, aspect,altitude as the independent variables, using stepwise regression method,the optimal combination of multiple variable regression equation wasestablished which is used to build the linear model of the vegetationcoverage. the model is Y=-0.101+1.064NDVI+0.129h, which is proved thatthe average accuracy of estimating the value of vegetation coverage canreach to83.77%;2. Having the rate of bare sand, climate erosivity factor, the bare soilindex,MSAVI, gross domestic product (GDP) as the evaluation factorsand desertification grade in desertification monitoring results graph in2004as the dependent variable, with factor analysis methods todetermine the weight of each factor, the area ratio of bare sand, ClimaticErosivity Factor, Bare soil index, MSAVI, the gross domestic product,whose weights are:1.0184,0.3973,1.1823,0.7414,0.3592, sandfixation efficiency evaluation model is built;3. AS a result of the trend line fitting of vegetation coverage and sandfixation efficiency index, using the two order polynomial, building thefitting equation: D=0.1388C2-0.2441C+0.34, and the best vegetationcoverage is determined to be0.8793;4. Based on the theory of Close to Nature Forestry, with the artificialneural network approach to predict the optimal configuration ofvegetation types, the optimal proportion of bamboo, broadleaf forest,coniferous forest, mixed forest, shrub forest is determined respectivelyto be4.15%,22.52%,17.92%,53.94%,1.46%. At the same time, the result ismeasured by landscape pattern and ecological quality;5. Having slope, aspect, elevation, soil depth and soil type as the factorsand calculated tree height as the dependent variable, with mathematicalmethods, suitability of the main dominant coastal protection speciesephedra, wetlands, pine, acacia, masson pine,Chinese fir is analyzed and their suitable grade is divided, and through the analysis of cold toleranceof bamboo, bamboo adaptability grade is dvided, which provide areference for the selection of tree species;6. According to the ideal suitability model of the optimal vegetationcoverage, the optimal vegetation types and the dominant species, thesubcompartments, which do not play an effective role in sand fixation,are adjusted to make them close to the ideal model, by analyzing thesand fixation effect.