Abstract
Traditionally, patch-based analysis at the landscape scale fragmentation has been used in the study of landscape ecology while the study of boundary and node has not been considered as much detail until recently. This study investigated the possibility of applying boundary- and node-based methods in landscape pattern analysis to the upper reaches of the Minjiang River in the southwestern China. Boundary-based and node-based landscape indices were selected to be used in analyzing changes in landscape patterns, and the results were compared with analysis using traditional pattern indices. We compared the responses of patch-area-based, boundary-length-based and node-number-based indices, and concluded that boundary-based and node-based indices are more sensitive to disturbance than patch-based indices with various patterns, and node-based indices are even more sensitive than boundary-based ones. Thus, the results suggest that boundary-based and node-based pattern analysis methods provide helpful supplementary information to traditional patch-based pattern analysis methods. The results about pattern dynamics of landscapes in the upper reaches of the Minjiang River based on boundaries and nodes showed that with human disturbance, the dominance of forest landscape was weakened by other landscape types; thus the landscape pattern of the study area became more homogeneous and the boundary network became more complex. These changes further augmented disturbance interfaces in the landscape and increased the possibilities of further landscape fragmentation.
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References
Albeke S E, Nibbelink N P, Mu L et al., 2010. Measuring boundary convexity at multiple spatial scales using a linear” moving window” analysis: An application to coastal river otter habitat selection. Landscape Ecology, 25(10): 1575–1587. doi: 10.1007/s10980-010-9528-4
Arroyo-RodrÍguez V, Mandujano S, 2006. The importance of tropical rain forest fragments to the conservation of plant species diversity in Los Tuxtlas, Mexico. Biodiversity and Conservation, 15(13): 4159–4179. doi: 10.1007/s10531-005-3374-8
Bailey D, Billeter R, Aviron S et al., 2007. The influence of thematic resolution on metric selection for biodiversity monitoring in agricultural landscapes. Landscape Ecology, 22(3): 461–473. doi: 10.1007/s10980-006-9035-9
Bartholomew A, Bohnsack J A, Harper D E et al., 2008. Influence of marine reserve size and boundary length on the initial response of exploited reef fishes in the Florida Keys National Marine Sanctuary, USA. Landscape Ecology, 23(1): 55–65. doi: 10.1007/s10980-007-9136-0
Buyantuyev A, Wu J, 2010. Urban heat islands and landscape heterogeneity: Linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landcape Ecology, 25(1): 17–33. doi: 10.1007/s10980-009-9402-4
Cadenasso M L, Pickett S T A, 2000. Linking forest edge structure to edge function: Mediation of herbivore damage. Journal of Ecology, 88(1): 31–44. doi: 10.1046/j.1365-2745.2000.00423.x
Carroll C, Mcrae B H, Brooks A et al., 2012. Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of gray wolf populations in Western North America. Conservation Biology, 26(1): 78–87. doi: 10.1111/j.1523-1739.2011.01753.x
Congalton R G, 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1): 35–46. doi: 10.1016/0034-4257(91)90048-B
Duan Y, Lu F, 2013. Structural robustness of city road networks based on community. Computers, Environment and Urban Systems, 41(1): 75–87. doi: 10.1016/j.compenvurbsys.2013.03.002
Hassett E M, Stehman S V, Wickham J D, 2012. Estimating landscape pattern metrics from a sample of land cover. Landscape Ecology, 27(1): 133–149. doi: 10.1007/s10980-011-9657-4
Kilic S, Everendilek F, Berberoglu S et al., 2006. Environmental monitoring of land-cover change in a Mediterranean region of Turkey. Environmental Monitoring and Assessment, 114(1–3): 157–168. doi: 10.1007/s10661-006-2525-z
Kociolek A V, Clevenger A P, Clair C C S T et al., 2010. Effects of road networks on bird populations. Conservation Biology, 25(2): 241–249. doi: 10.1111/j.1523-1739.2010.01635.x
Liu Chengliang, Yu Ruilin, Zen Juxin et al., 2012. Complexity of spatial structure on the urban-rural road network in Wuhan Metropolitan Area. Scientia Geographica Sinica, 32(4): 426–433. (in Chinese)
Lovett-Doust J, Biernacki M, Page R et al., 2003. Effects of land ownership and landscape scale factors on rare-species richness in natural areas of southern Ontario, Canada. Landscape Ecology, 18(6): 621–633. doi: 10.1023/A:1026028017696
Metzger J P, Muller E, 1996. Characterizing the complexity of landscape boundaries by remote sensing. Landscape Ecology, 11(2): 65–77. doi: 10.1007/BF02093740
Polakowska A E, Fortin M J, Couturier A, 2012. Quantifying the spatial relationship between bird species’ distributions and landscape feature boundaries in southern Ontario, Canada. Landscape Ecology, 27(10): 1481–1493. doi: 10.1007/s10980-012-9804-6
Qureshi S, 2011. Boundary crossing by transregional practice of governance to address sustainability issues. Landscape Ecology, 26(3): 455–456. doi: 10.1007/s10980-010-9559-x
Robles C D, Garza C, Desharnais R A et al., 2010. Landscape patterns in boundary intensity: A case study of mussel beds. Landscape Ecology, 25(5): 745–759. doi: 10.1007/s10980-010-9450-9
Ruiz J, Domon G, 2009. Analysis of landscape pattern change trajectories within areas of intensive agricultural use: Case study in a watershed of southern Québec, Canada. Landscape Ecology, 24(3): 419–432. doi: 10.1007/s10980-009-9321-4
Sitzia T, Semenzato P, Trentanovi G et al., 2010. Natural reforestation is changing spatial patterns of rural mountain and hill landscapes: A global overview. Forest Ecology and Management, 259(8): 1354–1362. doi: 10.1016/j.foreco.2010.01.048
Stamps J A, Buechner M, Krishnan V V, 1987. The effects of edge permeability and habitat geometry on emigration from patches of habitat. American Naturalist, 129(4): 533–552.
Wen Qingchun, Li Xiuzhen, He Hongshi et al., 2008. The pattern analysis of landscape boundary network in the upper reaches of Minjiang River. Acta Ecologica Sinica, 28(9): 4334–4343. (in Chinese)
Xiao Duning, Li Xiuzhen, Gao Jun et al., 2003. Landscape Ecology. Beijing: Science Press, 55–56. (in Chinese)
Zeng Hui, Kong Ningning, 2002. Landscape pattern analysis based on boundary characteristics. Chinese Journal of Applied Ecology, 13(1): 81–86. (in Chinese)
Zeng H, Wu X B, 2005. Utilities of edge-based metrics for studying landscape fragmentation. Computers, Environment and Urban Systems, 29(2): 159–178.
Zhao Fuqiang, Dai Limin, Yu Dapao et al., 2010. Dynamic changes of forest landscape pattern in Lushuihe Forest Bureau of Changbai Mountains, Northeast China. Chinese Journal of Applied Ecology, 21(5): 1180–1184. (in Chinese)
Zhao Yonghua, He Xingyuan, Hu Yuanman et al., 2006. Land use and land cover changes and driving forces in the upper reach of Minjiang River. Chinese Journal of Applied Ecology, 17(5): 862–866. (in Chinese)
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Foundation item: Under the auspices of Major State Basic Research Development Program of China (No. 2006CB403201)
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Wen, Q., Li, X., He, H. et al. A landscape pattern analysis method based on boundaries and nodes: A case study in upper Minjiang River, China. Chin. Geogr. Sci. 24, 50–59 (2014). https://doi.org/10.1007/s11769-014-0655-8
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DOI: https://doi.org/10.1007/s11769-014-0655-8