GIS-based approach for incorporating the connectivity of ecological networks into regional planning

Vicente, Mikel Gurrutxaga San; Lozano, Pedro J.; Barrio, Gabriel del

doi:10.1016/j.jnc.2010.01.005

Cited by 189 publications

(132 citation statements)

References 42 publications

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“…In addition, five key landscape cells were extracted to reduce the barriers of urban agglomeration to landscape function. This process and outcomes was in concert with Opdam et al [89] as they noted that ecological networks are essential to achieve ecological sustainability, which are constructed by the linkage among core areas, corridors, nodes and buffer zones [74].…”

Section: Discussionmentioning

confidence: 82%

“…Fischer and Lindernmayer [88] argue that landscape heterogeneity is of great importance, and deserve attention in human-modified landscapes. Likewise, Gurrutxaga et al [74] also state the necessary management of agricultural and forestry holdings in the ecological network. Both studies along with this research demonstrate diverse landscapes will be beneficial for a healthy ecosystem.…”

Section: Discussionmentioning

confidence: 99%

“…Based on the friction maps in raster format (generically as cost surfaces in the GIS literatures) [74], least-cost modeling is applied to acquire the least costly path from each cell location to a source [75]. First, via the calculation of the sum of the expansion resistance coefficient values of all pixels between each cell with the source, least-cost modeling calculates the accumulated cost distance from each path to generate the accumulated cost surface.…”

Section: Least-cost Modelingmentioning

confidence: 99%

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Landscape Optimization in a Highly Urbanized Tourism Destination: An Integrated Approach in Nanjing, China

2017

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Planning and developing urban tourism destinations must encompass landscape optimization to achieve healthy urban ecosystems, as well as for evolution sustainability. This study explored sustainable landscape planning by examining the optimization of landscape spatial distribution in an urban tourism destination-Nanjing, China-using an integrated approach that included remote sensing (RS), geographic information system (GIS), and landscape metrics in the context of an urban tourism destination evolution model. Least-cost modeling in GIS was also used to optimize decision-making from an ecological perspective. The results indicated that landscapes were more homogenous, fragmented, and less connected. Except for the eastern area, the landscape evolution showed characteristics of both degeneration and growth. A complete greenway network including sources, greenways, and nodes were constructed, and an increase in natural landscapes was strongly recommended. The findings provide geographic insights for sustainable urban tourism planning and development via comprehensive methodological applications.

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Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Least-cost Modelingmentioning

confidence: 99%

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Landscape Optimization in a Highly Urbanized Tourism Destination: An Integrated Approach in Nanjing, China

2017

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“…Costdistance ideas are based on cost surfaces built for a set of target species associated with the dominant habitats of a region. Least-cost paths are then used to identify zones of probable connection between habitats (Gurrutxaga et al, 2010). Graph theoretic approaches with least-cost modeling have received increased interest recently in landscape planning and conservation in terrestrial ecosystems because these approaches facilitate the effective modeling of connectivity among habitats (Foltête et al, 2008).…”

Section: Implications Of Least-cost Distance Modeling and Circuit Thementioning

confidence: 99%

“…However, approaches to quantify ecological effects on these scales are still in dispute among researchers, due to the complicated ecological processes associated with these projects, especially in gene flow within and across landscapes (Gurrutxaga et al, 2010). Currently, several comprehensive concepts were proposed to assess ecological quality, including ecological integrity (Reza and Abdullah, 2011), risk (Liu et al, 2008), security (Chen et al, 2007), and footprint (Yue et al, 2006) on regional scales.…”

Section: Introductionmentioning

confidence: 99%

Landscape network approach to assess ecological impacts of road projects on biological conservation

et al. 2014

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Awareness of the adverse ecological effects of road and other large construction projects has resulted in a rapidly growing demand to quantitatively predict and evaluate the effects on gene flow among plants and animals in natural habitats. In this study, we evaluated the effects of different road construction scenarios on animal species movement by using the methods of ecological landscape connectivity in the typical regions of Yunnan Province, China. The results showed landscape connectivity levels (Probability of Connectivity (PC)) decreased after road construction and species with lower dispersal abilities were more affected to the subsequent habitat fragmentation. First level roads affected landscape connectivity most significantly. At a distance of 100 m, the PC index decreased more than 50%. Further analysis suggested that the use of landscape connectivity to assess landscape processes revealed the adverse effects on the species movement more effectively compared with the traditional landscape pattern analysis. In addition, we conducted a graph theory and a least-cost modeling discussion, it is obvious that they are powerful tools to represent and analyze landscape networks with respect to related species movement. Network analysis offers a quantitative and simple but effective tool for ecological process assessment and biological conservation on large scales. Keywords: landscape connectivity; road project; landscape network; graph theory; least-cost model Citation: Liu Shiliang, Deng Li, Chen Liding, Li Junran, Dong Shikui, Zhao Haidi, 2014. Landscape network approach to assess ecological impacts of road projects on biological conservation.

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Measuring Landscape Connectivity in a Urban Area for Biological Conservation

Liu

Xun

et al. 2014

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Biodiversity conservation in urbanized area is an increasing challenge worldwide. A quantitative tool is needed to provide a spatially explicit representation of habitat mosaics and thus afford insight into the ecological consequences of landscape changes. We developed a method for identifying core habitats and generating a cost surface that was used to identify both the permeability of the landscape matrix and the quality of core habitats and then we developed a least-cost model to delimit the links between pairs of core habitats. We defined a graph-theoretic dispersal flow index to measure the dispersal potential of certain ecological processes, i.e. functional connectivity. A network consisting of core habitats and links was assembled in the rapid urbanized Shenzhen City of China. The results showed that the cell-based least-cost distance calculation between the core habitats can avoid the subjectivity of land cover-based approaches that rely on expert experience. A highly connected network can facilitate DF and reduce the ecological risk of extinction due to habitat fragmentation. For saving construction cost in the urban environment, urban planner can efficiently design ecological corridors along the least-cost paths to connect isolated core habitats and promote appropriate animal behaviors. The methodology described here will be useful in making better conservation decisions and predictions regarding the consequences of human activity and thereby promote sustainable development.

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GIS-based approach for incorporating the connectivity of ecological networks into regional planning

Cited by 189 publications

References 42 publications

Landscape Optimization in a Highly Urbanized Tourism Destination: An Integrated Approach in Nanjing, China

Landscape Optimization in a Highly Urbanized Tourism Destination: An Integrated Approach in Nanjing, China

Landscape network approach to assess ecological impacts of road projects on biological conservation

Measuring Landscape Connectivity in a Urban Area for Biological Conservation

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