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Effect of Topography and Accessibility on Vegetation Dynamic Pattern in Mountain-hill Region

Journal of Mountain Science 2012年第6期9卷 879-890页

作者： QIU Bingwen ZHONG Ming ZENG Canying TANG Zhenghong CHEN Chongcheng Key Laboratory of Spatial Data Mining&Information Sharing of Ministry of Education Spatial Information Research Centre of Fujian ProvinceFuzhou UniversityFuzhou 350002FujianChina Community and Regional Planning Program University of Nebraska-LincolnLincolnNebraskaUSA

Knowledge of both vegetation distribution pattern and phenology changes is very *** complicated relationship with elevation and accessibility were explored through a geographically weighted regression(GWR) framework in Fujian province,*** 16-day time series of 250 m Moderate Resolution Imaging Spectroradiometer(MODIS) Enhanced Vegetation Index(EVI) dataset from 2000 to 2010 was *** transform method was adopted to decompose the original time series and construct the annual maximum EVI and amplitude of the annual phenological cycle(EVI).Candidate explaining factors included topographic conditions,accessibility variables and proportions of primary vegetation *** revealed very strong positive influence from parameters of elevation and accessibility to big rivers and negative effect from accessibility to resident on both maximum EVI and phenological magnitude through ordinary linear least square(OLS) regression *** analysis revealed that spatially,the parameters of topography and accessibility had a very complex relationship with both maximum EVI and phenology magnitude,as a result of the various combinations of environmental factors,vegetation composition and also intensive anthropogenic *** from the continuously increasing trend of phenology magnitude with increasing altitude,the influence of topography and accessibility on maximum EVI and phenological magnitude generally decreased,even from strongly positive to negative,with increasing altitude or ***,the most rapid change of correlation coefficient between them was observed within a low elevation or close distance;less variation was discovered within a certain range of medium altitude or distance and their relationship might change above this ***-stationary approaches are needed to better characterize the complex vegetation dynamic pattern in Mountain-hill Region.

关键词： Vegetation phenology Elevation gradient Accessibility geographic weighted regression Enhanced Vegetation Index Spatial non-stationality

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Exploring the spatiotemporal relationship between green infrastructure and urban heat island under multi‐source remote sensing imagery:A case study of Fuzhou City

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1337-1349页

作者： Tingting Hong Xiaohui Huang Guangjian Chen Yiwei Yang Lijia Chen School of Architecture and Urban Planning Fuzhou UniversityFujianChina Weitzman School of Design University of PennsylvaniaPhiladelphiaPennsylvaniaUSA Fujian Geologic Surveying and Mapping Institute FujianChina Landscape Architecture Fujian Agriculture and UniversityFujianChina

Green Infrastructure(GI)has garnered increasing attention from various regions due to its potential to mitigate urban heat island(UHI),which has been exacerbated by global climate *** study focuses on the central area of Fuzhou city,one of the“furnace”cities,and aims to explore the correlation between the GI pattern and land surface temperature(LST)in the spring and autumn *** research adopts a multiscale approach,starting from the urban scale and using urban geographic spatial characteristics,multispectral remote sensing data,and morphological spatial pattern analysis(MSPA).Significant MSPA elements were tested and combined with LST to conduct a geographic weighted regression(GWR)*** findings reveal that the UHI in the central area of Fuzhou city has a spatial characteristic of“high temperature in the middle and low temperature around,”which is coupled with a“central scattered and peripheral concentrated”distribution of *** suggests that remote sensing data can effectively be utilised for UHI ***,the study finds that the complexity of GI,whether from the perspective of the overall GI pattern or the classification study based on the proportion of the core area,has an impact on the alleviation of UHI in both *** conclusion,this study underscores the importance of a reasonable layout of urban green infrastructure for mitigating UHI.

关键词： geographic weighted regression green infrastructure image analysis morphological spatial pattern analysis statistical analysis urban heat island

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