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Functional analysis of landscape connectivity at the landscape,component, and patch levels: A case study of Minqing County,Fuzhou City,China
Institution:1. Department of Environmental Sciences and Engineering, Fudan University, PR China;2. Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region;1. Department of Environmental Science and Engineering, Fudan University – 200433, No. 220, Handan R., Yangpu District, Shanghai, PR China;2. Urban Planning and Architectural Design, Institute of Fudan University, Shanghai – 200433, No. 11, Guotai R., Yangpu District, Shanghai, PR China;1. Department of Agriculture, Forests, Nature and Energy-DAFNE, University of Tuscia, Viterbo, Italy;2. Laboratory of Ecology, DICAM – Department of Civil, Environmental and Mechanical Engineering University of Trento, Italy;3. DIST, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy;1. School of Water, Energy and Environment, Cranfield University, MK43 0AL, Bedford, UK;2. Faculty of Earth Science, University Malaysia Kelantan, Jeli Campus, 17600, Kelantan, Malaysia;3. Land-Use Research, British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK;1. Universidad Politécnica de Madrid, Research Group SILVANET, Ciudad Universitaria, 28040, Madrid, Spain;2. Universidad Católica de Ávila, 05005, Avila, Spain;3. University of Eastern Finland, Faculty of Forest Sciences, P. O. Box 111, Joensuu, Finland;4. Universidad Carlos III de Madrid, Department of Thermal and Fluids Engeneering, Madrid, Spain;1. Chrono-Environnement UMR 6249, French National Centre for Scientific Research—University Bourgogne Franche-Comté, Besançon, France;2. ThéMA UMR 6049, French National Centre for Scientific Research—University Bourgogne Franche-Comté, Besançon-Dijon, France;1. Centro Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro No. 8701, Col. Ex-Hacienda de San José de la Huerta, CP 58190 Morelia, Michoacán, Mexico;2. Centro de Investigaciones en Ecosistemas, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro No. 8701, Col. ExHacienda de San José de la Huerta, CP 58190 Morelia, Michoacán, Mexico;3. Departamento de Geología y Mineralogía, Instituto de Investigaciones Metalúrgicas, Universidad Michoacana de San Nicolás de Hidalgo, Ciudad Universitaria Edificio: U, Morelia, Michoacán, Mexico
Abstract:Maintaining forest landscape connectivity is one of the most effective ways to alleviate natural forest fragmentation and biodiversity loss problems. Recently, graph theory based metrics have been used as powerful tools in the assessment of landscape connectivity. However, the functional features of landscape units at different structure levels, based on which outcomes can be enriched and advice can be given for practical applications, have been overlooked. In this study, a series of graph-based connectivity indices was calculated to 1) evaluate the optimal threshold distance, 2) identify the key landscape units at the component and patch levels, and 3) classify the functional types of components and patches and analyze functional patterns at different structural levels. The relationship between patch size and patch functional performance in maintaining landscape connectivity was discussed. With a natural forest area in Minqing County of China as the study area, recommendations regarding forest conservation and connectivity enhancement were provided based on the research conclusions. This study provides a way to comprehensively analyze habitat fragmentation and functional patterns for local forest conservation.
Keywords:Landscape connectivity  Graph theory  Functional analysis  Threshold distance  Component
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