Individual dispersal, landscape connectivity and ecological networks

Michel Baguette; Simon Blanchet; Delphine Legrand; Virginie M. Stevens; Camille Turlure

doi:10.1111/brv.12000

Integrating ecological networks modelling in a participatory approach for assessing impacts of planning scenarios on landscape connectivity

Landscape and Urban Planning ◽

10.1016/j.landurbplan.2021.104039 ◽

2021 ◽

Vol 209 ◽

pp. 104039 ◽

Cited By ~ 1

Author(s):

Yohan Sahraoui ◽

Charles De Godoy Leski ◽

Marie-Lise Benot ◽

Frédéric Revers ◽

Denis Salles ◽

...

Keyword(s):

Landscape Connectivity ◽

Participatory Approach ◽

Ecological Networks

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Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks

Methods in Ecology and Evolution ◽

10.1111/2041-210x.12316 ◽

2014 ◽

Vol 6 (2) ◽

pp. 169-177 ◽

Cited By ~ 62

Author(s):

Chris Sutherland ◽

Angela K. Fuller ◽

J. Andrew Royle

Keyword(s):

Landscape Connectivity ◽

Ecological Networks

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Identifying Ecological Corridors and Networks in Mountainous Areas

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094797 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4797

Author(s):

Di Zhou ◽

Wei Song

Keyword(s):

Landscape Connectivity ◽

Effective Means ◽

Ecological Networks ◽

Habitat Destruction ◽

Spatial Pattern Analysis ◽

Cultivated Land ◽

Ecological Network ◽

Network Efficiency ◽

Mountain Areas ◽

Ecological Corridors

Since the 1950s, human activities have been driving economic development and land changes, hindering the conservation of biological habitats and landscape connectivity. Constructing ecological networks is an effective means to avoid habitat destruction and fragmentation. Mountain areas are hotspots of biological habitats and biodiversity; however, the pace of urbanization in mountain areas is also accelerating. To protect an ecosystem more effectively, it is necessary to identify ecological corridors and ecological networks. Therefore, based on the Minimal Cumulative Resistance model and taking Chongqing in China as an example, the identification of potential ecological corridors and the construction of an ecological network in Chongqing were realized using the Linkage Mapper software. The results were as follows: (1) From 2005 to 2015, the patch area of cultivated land and grassland in Chongqing decreased by 0.08% and 1.46%, respectively, while that of built-up areas increased by 1.5%. The fragmentation degree of cultivated land was higher, and the internal connectivity of forestry areas was worse. (2) In total, 24 ecological sources were selected, and 87 potential ecological corridors and 35 ecological nodes were generated using the Morphological Spatial Pattern Analysis and the Conefor2.6 software. The total length of the ecological network in Chongqing is 2524.34 km, with an average corridor length of 29.02 km. (3) The overall complexity and network efficiency are high, but the spatial distribution of ecological corridors is uneven, especially in the southwest of Chongqing.

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Identify Ecological Corridors and Build Potential Ecological Networks in Response to Recent Land Cover Changes in Xinjiang, China

Sustainability ◽

10.3390/su12218960 ◽

2020 ◽

Vol 12 (21) ◽

pp. 8960

Author(s):

Yanjie Zhang ◽

Wei Song

Keyword(s):

Land Cover ◽

Landscape Connectivity ◽

Minimum Cost ◽

Ecological Networks ◽

Simulation Software ◽

Land Cover Changes ◽

Taklimakan Desert ◽

Ecological Corridors ◽

Dense Distribution ◽

Year 2000

Using Linkage Mapper corridor simulation software, which is based on minimum cost distance, we identify ecological corridors and build potential ecological networks in response to recent land cover changes in Xinjiang, China. Based on the analysis of land use/cover changes, the change of landscape pattern index is also calculated. The results show that: (1) During the year 2000–2015, cultivated land and built-up areas of Xinjiang showed an increasing trend. Due to urbanization, Xinjiang’s landscape connectivity is getting worse, and the landscape is becoming more and more fragmented and isolated. (2) We have constructed 296 ecological corridors, with a total length of 2.71 × 104 km and an average corridor length of 90.98 km. A total of 145 ecological source patches and 500 ecological nodes were connected by 296 ecological corridors. (3) The ecological corridor of Xinjiang presents the characteristics of “dense-north and sparse-south” in space. The areas with dense distribution of ecological corridors mainly include Urumqi, Changji, Turpan, Tacheng, Kizilsu Kirgiz, Karamay, and Yining, and the Taklimakan desert fringe. The sparse distribution is mainly in the whole Taklimakan desert.

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