| As a special form of ecological public welfare forest,ecological landscape forest has attracted the attention of industry and government.The ecological landscape forest can not only effectively improve the ecological environment of the region,but also play a good recreational landscape function.At present,Guangdong Province has taken the lead in the construction of ecological landscape forest belts in the practice of domestic construction,and has achieved certain results.However,as an ecological project with high technical requirements,difficult implementation and large engineering volume,there are many implementations in the process.To solve the problem urgently,it is necessary to construct a suitable evaluation standard for ecological landscape forest species,which has important practical significance for further improving the quality and efficiency of ecological landscape forest construction.In this paper,three research areas of Guangdong Ecological Landscape Forest were investigated and evaluated for suitability.The research results are as follows:1.Conduct plant surveys on three survey sites to record the types and characteristics of garden plants.According to statistics,there are 23 species of garden plants,belonging to 15 families and 21 genera.The families with more species are Camellia,Elaeocarpaceae,Polygonaceae,and Hamamelidaceae.From the perspective of plant life type,there are 5 species of deciduous plants(20% of the total)and 20 species of evergreen trees(accounting for 80% of the total).Evergreen plants play a leading role in plant landscape color and community structure.2.The adaptability of landscape tree species in the experimental area is different because of the different planting areas.The suitable tree species in Wengyuan County are Liquidambar formosana 、 Camellia japonica and Cinnamomum camphora.The poor adaptability are Schima superba,Acacia auriculiformis and Litsea pungens.The suitable tree species in Yunan County are Elaeocarpus sylvestris,Liquidambar formosana.The poor adaptability are Morusalba,Acacia mangium and Schima superba.The suitable tree species in Wengyuan County are Elaeocarpus sylvestris and Liquidambar formosana.The poor adaptability are Castanopsis fargesii and Schima superba.3.The landscape evaluation of the analytic hierarchy process method(AHP)and gray correlation method was carried out for 9 research sites in Guangdong ecological landscape forest.The Kendall’s W Cointegration coefficient was used to test,and the difference between the AHP method and the gray correlation method was not significant.The landscaping tree with higher evaluation value has the characteristics of good adaptability,high ecological benefit and high ornamental value.The landscaping tree with lower evaluation value has low local adaptability,slow growth rate,obvious pest damage,low ecological benefit and low ornamental value.Among them,Longchuan County ranked tree species in Longchuan County: Liquidambar formosana > Camellia japonica >Cinnamomum camphora >Sapiumse biferum >Rhodoleia championii >Toxicodendron vernicifluum >Pinus massoniana >Castanopsis fargesii >Catalpa bungee >Schima superba >Acacia auriculiformis >Litsea cubeba;Yunan County ranked tree species rank: Elaeocarpus sylvestris >Liquidambar formosana >Manglietia glanca >Vernicia fordii >Ficus microcarpa >Mytilaria laosensis >Xanthostemon chrysanthus >Cinnamomum camphora >Castanopsis fargesii >Michelia macclurei >Melia azedarach >Pinus massoniana >Spathodea campanulata >Morus alba >Acacia mangium >Schima superba;Ranking of tree species in Wengyuan County: Elaeocarpus sylvestris >Liquidam barformosana >Pinus massoniana >Cinnamomum camphora >Castanopsis fargesii >Schimasuperba.In this paper,several suggestions are proposed for the adaptability evaluation of landscape trees in Guangdong ecological landscape forest: the use of coniferous broad-leaved plants,evergreen and deciduous plants,green and colorful plants;reasonable control of planting density;appropriate increase of vegetation coverage;Improve the richness of understory vegetation;and other landscape forest project optimization recommendations. |