| Along with the rapid development of social economy and the improvement of people's life quality, Wit increasing requirement of beautiful virescence and ecological environment, eco-landscape forest belt is the product of this trend, which is mainly aimed at improving the ecological environment and beautifying the natural landscape, more over, which is also an important ecological barrier of the urban and landscape resources. Species selection and configuration mode are the key to the construction of eco-landscape forest belt, the same area can be different vision because of the different plant combination. In order to provide scientific theoretical basis and the chnical support for tree species selection and configuration mode in ecological landscape forest construction in Guangdong province in the future. This study was conducted in April, July, October 2015 in Huiyang district and Mei country area, in which ecological landscape forest belt were selected for investigation, taking 10 forest belts as investigation object, respectively, seasonal ornamental, ecological effect and hierarchical content were investigated, at the same time, filming and collecting the map of 10 different forest belt in different season, and further simulating effect diagram according to the site conditions and configuration mode;.In addition, growth index, shape index resistance were investigated in 21 species in the forest, According to the results of the survey, using the analytic hierarchy process and fuzzy analysis hierarchy process(AHP) and beauty view estimation method(SBE) to make the comprehensive assessmente of cological landscape forest tree species and forest belt, The main results are as follows:(1) April to October the average growth of tree height was 0.83 m-1.2 m, diameter at breast height increased 1.92 cm-2.12 cm. The leaves of strong ability of dust catching observed in Erythrina crista-galli, Bauhinia blakeana, Chorisia speciose, Lagetstroemia speciose, Cassia surattensis, Syzygium cumini, Liquidambar formosana and Nerium indicum has blade ability, an average of between 1.4 mg·cm-2-2.5 mg·cm-2, can effectively purify air dust pollution. The sulfur content of leaves of Bougainvillea spectabilis, Elaeocarpus sylvestris, Tabebuia chrysantha, Cassia surattensis, Delonix regia, Erythrina crista-galli, Michelia maudiae and Bauhinia blakeana, average 2110 mg·kg-1~3855 mg·kg-1, these species have higher ability to absorb SO2 pollution. Lagetstroemia speciose, Nerium indicum, Erythrina crista-galli, Chorisia speciose, Cassia surattensis, Castanopsis fissa and Cerasus serrulata, these seven species had stronger ability of heavy metal pollution adsorption, for example, Lagetstroemia speciose leaves, the average Zn content of 59.26 mg·kg-1, Cu, average content of 11.71 mg·kg-1, respectively, 26 and 7 times than Syzygium cumini.(2) Using the establishment of 21 species Species to establish AHP model, the weighting factor of the top six were Bauhinia blakeana(0.0739), Erythrina crista-galli(0.0735), Liquidambar formosana(0.0692), Castanopsis fissa(0.0656), Elaeocarpus sylvestris(0.0585). The weighting factor of Bauhinia blakeana, Liquidambar formosana, Elaeocarpus sylvestris, Cerasus serrulata, Chorisia speciose and Bougainvillea spectabilis were above 0.05 in 19 species in Huiyang district of Huizhou city, Simultaneously, Erythrophleum fordii's weighting factor was the smallest, 0.027 only. Six species in Meixian District of Meizhou City, the top two species were Bauhinia blakeana and Erythrina crista-galli, their weighting factor were all above 0.07. Followed by the weighting factor corresponding to Elaeocarpus sylvestris(0.0585) and Chorisia speciose(0.0559).(3) Using 10 forest belt to establish comprehensive evaluation model, the final forest weighting coefficients in descending order: M2>H4>H1>M4>H2>H3>M3>H5>M1>H6. Rank forest belt in different regions according to comprehensive evaluation, six forest belt in Huiyang district, H4, H1 and H2 ranked the first 3, its weight coefficients were 0.1235, 0.1227 and 0.1174, forest H5 and H6 ranked the last, the weight is relatively low, only 0.079 and 0.0441, Four forest in Meixian District of Meizhou City, M2 and M4 with better comprehensive evaluation index, the weight coefficients were 0.1314 and 0.1226, while the M3 and M4 weighting coefficient were less than 0.1.(4) By using SBE to evaluate 10 forest belt, the descending order of status map SBE value was: M2>M4>H2>H3>M3>H4>H5>H1>M1>H6, the order of SBE value was M4>H2>H3>H1>H4>M2>M3>M1>H6>H5. Twice ranking comparison found that although both sort not completely coincide, some forest ranking closer, for example: M4, H2 and H3 rankings were among the top four, while M1, H6 and H5 are ranked between countdown four, which indicated the utilization of software to simulate forest belt landscape renderings, and further to predict the initial effect after its completion to a certain extent, to provide intuitive options for forest ecological landscape construction, which will be advantageous to save costs and improve efficiency. |
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