户外景观生态保护中的植被选取方法
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摘要
为了选取户外景观生态保护中的植被,分析了研究区用地现状与总体规划背景和研究区植被群落现状,给出数据来源,通过几何畸变与辐射畸变改良处理可获取较高质量的遥感图像。采用Logistic回归分析法,求出植被类型出现的概率;利用Logistic回归分析法确定对植被空间状况影响较大的因素,按照分析结果构造植物选取指标体系;通过层次分析法对户外景观生态保护中的植被进行选取,选取综合评分高的植被,间种部分观赏价值高的植被。采用所提方法对研究地区户外景观生态保护中的植被进行选取,按照选取结果对户外景观格局进行规划,发现采用所提方法选取植被后,各评价指标均在一定程度上有所改善,所提方法能够有效改善户外景观生态环境。
In order to select the vegetation in ecological protection of outdoor landscape,the present situation of land use in the study area,the background of the overall planning and the present situation of vegetation community in the study area were analyzed,and the data sources were given. High quality remote sensing images can be obtained by improving geometric distortion and radiation distortion. Logistic regression analysis was used to find out the probability of vegetation type,and Logistic regression analysis was used to determine the factors that had a great influence on the vegetation spatial status. The index system of plant selection was constructed according to the results of the analysis. The vegetation of outdoor landscape ecological protection was selected by AHP,the vegetation with high comprehensive score was selected,and the ornamental price of interspecies was selected. High value vegetation using the proposed method to select the vegetation in the ecological protection of outdoor landscape in the study area,planning the outdoor landscape pattern according to the selection results,it is found that after selecting the vegetation with the proposed method,each evaluation index is improved to a certain extent. The proposed method can effectively improve the outdoor landscape ecological environment.
In order to select the vegetation in ecological protection of outdoor landscape,the present situation of land use in the study area,the background of the overall planning and the present situation of vegetation community in the study area were analyzed,and the data sources were given. High quality remote sensing images can be obtained by improving geometric distortion and radiation distortion. Logistic regression analysis was used to find out the probability of vegetation type,and Logistic regression analysis was used to determine the factors that had a great influence on the vegetation spatial status. The index system of plant selection was constructed according to the results of the analysis. The vegetation of outdoor landscape ecological protection was selected by AHP,the vegetation with high comprehensive score was selected,and the ornamental price of interspecies was selected. High value vegetation using the proposed method to select the vegetation in the ecological protection of outdoor landscape in the study area,planning the outdoor landscape pattern according to the selection results,it is found that after selecting the vegetation with the proposed method,each evaluation index is improved to a certain extent. The proposed method can effectively improve the outdoor landscape ecological environment.
引文
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13王欢.关于低碳植物景观园林评价方法仿真[J].计算机仿真,2017,34(3):414-416Wang Huan.Simulation of low carbon plant landscape evaluation method[J].Computer Simulation,2017;34(3):414-416
14周大庆,夏欣,张昊楠,等.中国自然植被就地保护现状评价[J].生态与农村环境学报,2015,31(6):796-801Zhou Daqing,Xia Xin,Zhang Haonan,et al.Evaluation of the status quo of natural vegetation conservation in China[J].Journal of Ecology and Rural Environment,2015,31(6):796-801
15 Terada S,Nackoney J,Sakamaki T,et al.Habitat use of bonobos(Pan paniscus)at Wamba:Selection of vegetation types for ranging,feeding,and night-sleeping[J].American Journal of Primatology,2015,77(6):701-713
16侯寅峰.雾霾污染指数下青岛市的污染景观区域规划分析[J].科技通报,2016,32(7):220-223Hou Yinfeng.Analysis of pollution landscape area planning in Qingdao under the haze pollution index[J].Bulletin of Science and Technology,2016,32(7):220-223
17陈炜明,李水峰,林颖意,等.基于无线通信的温室大棚数据采集系统设计[J].电子设计工程,2017,25(12):72-76Chen Weiming,Li Shuifeng,Lin Yingyi,et al.Design of greenhouse data acquisition system based on wireless communication[J].Electronic Design Engineering,2017,25(12):72-76
18 DarolováA,Kristofík J,Hoi H.Vegetation type variation in marsh habitats:Does it affect nest site selection,reproductive success,and maternal investment in Reed Warblers[J].Journal of Ornithology,2014,155(4):997-1008
2杨大新,巩合德,潘洋,等.人为干扰对轿子山自然保护区典型植物群落及土壤理化性质的影响[J].科学技术与工程,2016,16(32):8-14Yang Daxin,Gong Hede,Pan Yang,et al.Effects of human disturbance on plant communities and physicochemical soil properties in the natural reservation area of Jiaozi mountain[J].Science Technology and Engineering,2016,16(32):8-14
3刘金福,薛凡,黄嘉航,等.基于生态值的戴云山保护区地块选择研究[J].森林与环境学报,2017,37(1):1-7Liu Jinfu,Xue Fan,Huang Jiahang,et al.Study on site selection of Daiyun mountain reserve based on ecological value[J].Journal of Forest and Environment,2017,37(1):1-7
4李贝贝,张光锋,娄国伟,等.基于毫米波辐射特性的水面植被检测方法[J].计算机测量与控制,2016,24(7):45-48Li Beibei,Zhang Guangfeng,Lou Guowei,et al.Detective method for aquatic vegetation based on millimeter wave radiant characteristics[J].Computer Measurement&Control,2016,24(7):45-48
5 Jia K,Li Y,Liang S,et al.Fractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area[J].Geocarto International,2017,32(5):531-540
6陈艳锋,尹林克,曹秋梅,等.新疆阿勒泰两河源自然保护区植被信息提取与分析[J].干旱区地理,2016,39(4):843-850Chen Yanfeng,Yin Linke,Cao Qiumei,et al.Vegetation information extraction and analysis of Xinjiang Altay two-river source nature reserve[J].Arid Land Geography,2016,39(4):843-850
7 Howe K B,Coates P S,Delehanty D J.Selection of anthropogenic features and vegetation characteristics by nesting common Ravens in the sagebrush ecosystem[J].Condor,2014,116(1):35-49
8李瑞,王霖娇,盛茂银,等.喀斯特石漠化演替中植物多样性及其与土壤理化性质的关系[J].水土保持研究,2016,23(5):111-119Li Rui,Wang Linjiao,Sheng Maoyin,et al.Plant species diversity and its relationship with soil properties in Karst rocky desertification succession[J].Research of Soil and Water Conservation,2016,23(5):111-119
9陈斌,李海东,曹学章.西藏高原典型生态系统退化及植被恢复技术综述[J].世界林业研究,2014,27(5):18-23Chen Bin,Li Haidong,Cao Xuezhang.Advances in studies on degradation and re-vegetation of typical ecosystems on Tibetan Plateau,China[J].World Forestry Research,2014,27(5):18-23
10 Terada S,Nackoney J,Sakamaki T,et al.Habitat use of bonobos(Pan paniscus)at Wamba:Selection of vegetation types for ranging,feeding,and night-sleeping[J].American Journal of Primatology,2015,77(6):701-713
11史超,夏军,佘敦先,等.气候变化下汉江上游林地植被生态需水量的时空演变[J].长江流域资源与环境,2016,25(4):580-589Shi Chao,Xia Jun,She Dunxian,et al.Temporal and spatial variation of ecological water requirement of forests in the upper reaches of the Hanjiang basin under climate change[J].Resources and Environment in the Yangtze Basin,2016,25(4):580-589
12卢响军,周益民,侯秀玲,等.基于土地利用/覆盖的干旱绿洲区植被覆盖度变化---以新疆生产建设兵团第八师为例[J].中国生态农业学报,2015,23(2):246-256Lu Xiangjun,Zhou Yimin,Hou Xiuling,et al.Vegetation change based on land use/cover in arid oasis:A case study of the eighth division of Xinjiang production and construction corps[J].Chinese Journal of Eco-agriculture,2015,23(2):246-256
13王欢.关于低碳植物景观园林评价方法仿真[J].计算机仿真,2017,34(3):414-416Wang Huan.Simulation of low carbon plant landscape evaluation method[J].Computer Simulation,2017;34(3):414-416
14周大庆,夏欣,张昊楠,等.中国自然植被就地保护现状评价[J].生态与农村环境学报,2015,31(6):796-801Zhou Daqing,Xia Xin,Zhang Haonan,et al.Evaluation of the status quo of natural vegetation conservation in China[J].Journal of Ecology and Rural Environment,2015,31(6):796-801
15 Terada S,Nackoney J,Sakamaki T,et al.Habitat use of bonobos(Pan paniscus)at Wamba:Selection of vegetation types for ranging,feeding,and night-sleeping[J].American Journal of Primatology,2015,77(6):701-713
16侯寅峰.雾霾污染指数下青岛市的污染景观区域规划分析[J].科技通报,2016,32(7):220-223Hou Yinfeng.Analysis of pollution landscape area planning in Qingdao under the haze pollution index[J].Bulletin of Science and Technology,2016,32(7):220-223
17陈炜明,李水峰,林颖意,等.基于无线通信的温室大棚数据采集系统设计[J].电子设计工程,2017,25(12):72-76Chen Weiming,Li Shuifeng,Lin Yingyi,et al.Design of greenhouse data acquisition system based on wireless communication[J].Electronic Design Engineering,2017,25(12):72-76
18 DarolováA,Kristofík J,Hoi H.Vegetation type variation in marsh habitats:Does it affect nest site selection,reproductive success,and maternal investment in Reed Warblers[J].Journal of Ornithology,2014,155(4):997-1008