Applying ant colony algorithm to identify ecological security patterns in megacities

Abstract Ecological security patterns composed of ecological sources and corridors provide an effective approach to conserving natural ecosystems. Although the direction of ecological corridors has been identified in previous studies, the precise range remains unknown. To address this crucial gap, ant colony algorithm and kernel density estimation were applied to identify the range and restoration points of ecological corridors, which is important for natural conservation and ecological restoration. In this case study of Beijing City, ecological sources were identified based on habitat importance and landscape connectivity. The results showed that, in total 3119.65 km2 of ecological land had been extracted as ecological sources, which were mainly located in the northern, northwestern and northeastern mountainous areas. The identified key ecological corridor covered an area of 198.86 km2, with 567.30 km2 for potential ecological corridors, both connecting the ecological sources. 34 key points were also identified with priority in restoring ecological corridors.

[1]  Tianjie Lei,et al.  Increasing terrestrial vegetation activity of ecological restoration program in the Beijing–Tianjin Sand Source Region of China , 2013 .

[2]  Gerard Govers,et al.  Evaluating the effects of changes in landscape structure on soil erosion by water and tillage , 2000, Landscape Ecology.

[3]  David Potere,et al.  Global analysis and simulation of land-use change associated with urbanization , 2010, Landscape Ecology.

[4]  Guangjie Han,et al.  An Improved Ant Colony Algorithm for Path Planning in One Scenic Area With Many Spots , 2017, IEEE Access.

[5]  G. Theraulaz,et al.  Inspiration for optimization from social insect behaviour , 2000, Nature.

[6]  F. Chapin,et al.  Planetary boundaries: Exploring the safe operating space for humanity , 2009 .

[7]  X. Zhao,et al.  Research on landscape ecological security pattern in a Eucalyptus introduced region based on biodiversity conservation , 2015, Russian Journal of Ecology.

[8]  Manchun Li,et al.  Constructing Ecological Networks Based on Habitat Quality Assessment: A Case Study of Changzhou, China , 2017, Scientific Reports.

[9]  Xiaoming Feng,et al.  The tradeoff and synergy between ecosystem services in the Grain-for-Green areas in Northern Shaanxi, China , 2014 .

[10]  D. Rozos,et al.  Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece , 2013, Environmental Earth Sciences.

[11]  Iryna Dronova,et al.  Modeling stormwater management at the city district level in response to changes in land use and low impact development , 2017, Environ. Model. Softw..

[12]  Santiago Saura,et al.  Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity , 2009, Environ. Model. Softw..

[13]  C. Gascon,et al.  The conservation value of linear forest remnants in central Amazonia , 1999 .

[14]  R. Cowling,et al.  Designing Large‐Scale Conservation Corridors for Pattern and Process , 2006, Conservation biology : the journal of the Society for Conservation Biology.

[15]  Satoshi Hirabayashi,et al.  Modeled PM2.5 removal by trees in ten U.S. cities and associated health effects. , 2013, Environmental pollution.

[16]  Conghe Song,et al.  Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China , 2011 .

[17]  E. Revilla,et al.  A movement ecology paradigm for unifying organismal movement research , 2008, Proceedings of the National Academy of Sciences.

[18]  A. Asgarian,et al.  Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach , 2014, Urban Ecosystems.

[19]  Yuanyuan Zhao,et al.  Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models , 2016, Environ. Model. Softw..

[20]  C. Kerbiriou,et al.  Ecological corridors also operate in an urban matrix: A test case with garden shrews , 2013, Urban Ecosystems.

[21]  J. Sauerborn,et al.  Biodiversity and ecosystem services−A case study for the assessment of multiple species and functional diversity levels in a cultural landscape , 2017 .

[22]  SEAN A. PARKS,et al.  Effects of Weighting Schemes on the Identification of Wildlife Corridors Generated with Least‐Cost Methods , 2013, Conservation biology : the journal of the Society for Conservation Biology.

[23]  Yanxu Liu,et al.  Sustainability evaluation of natural capital utilization based on 3DEF model: A case study in Beijing City, China , 2015 .

[24]  Ying Long,et al.  Urban growth boundaries of the Beijing Metropolitan Area: Comparison of simulation and artwork , 2013 .

[25]  Santiago Saura,et al.  Connectivity providers for semi-aquatic vertebrates: the case of the endangered otter in Italy , 2011, Landscape Ecology.

[26]  Kongjian Yu,et al.  Security patterns and surface model in landscape ecological planning , 1996 .

[27]  R. L. Harrison.  Toward a Theory of Inter-Refuge Corridor Design , 1992 .

[28]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[29]  Yanglin Wang,et al.  Linking ecological degradation risk to identify ecological security patterns in a rapidly urbanizing landscape , 2018 .

[30]  Holger R. Maier,et al.  Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation , 2017, Environ. Model. Softw..

[31]  Avit Kumar Bhowmik,et al.  An automated, objective and open source tool for stream threshold selection and upstream riparian corridor delineation , 2015, Environ. Model. Softw..

[32]  Roberto Confalonieri,et al.  Designing ecological corridors in a fragmented landscape: A fuzzy approach to circuit connectivity analysis , 2016 .

[33]  Yueguang Zong,et al.  Urban green space network development for biodiversity conservation: Identification based on graph theory and gravity modeling , 2010 .

[34]  Jiansheng Wu,et al.  Ecosystem services response to urbanization in metropolitan areas: Thresholds identification. , 2017, The Science of the total environment.

[35]  Xun Shi,et al.  Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds , 2010, Int. J. Geogr. Inf. Sci..

[36]  B. Aminzadeh,et al.  A case study of urban ecological networks and a sustainable city: Tehran’s metropolitan area , 2010, Urban Ecosystems.

[37]  James Douglass,et al.  OPAL: An open-source software tool for integrating biodiversity and ecosystem services into impact assessment and mitigation decisions , 2016, Environ. Model. Softw..

[38]  Shifa Chen,et al.  Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China , 2016, Natural Hazards.

[39]  J. Orestes Cerdeira,et al.  Linking habitats for multiple species , 2013, Environ. Model. Softw..

[40]  Kris A. Johnson,et al.  The Impact of Land-Use Change on Ecosystem Services, Biodiversity and Returns to Landowners: A Case Study in the State of Minnesota , 2011 .

[41]  Kevin McGarigal,et al.  Sensitivity of landscape resistance estimates based on point selection functions to scale and behavioral state: pumas as a case study , 2014, Landscape Ecology.

[42]  Yuanhai Li,et al.  Optimal groundwater monitoring design using an ant colony optimization paradigm , 2007, Environ. Model. Softw..

[43]  Yanxu Liu,et al.  Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: a case study in Beijing City, China , 2015, Landscape Ecology.

[44]  Chris Brunsdon,et al.  Estimating probability surfaces for geographical point data: an adaptive kernel algorithm , 1995 .

[45]  Ç. C. Hepcan,et al.  Establishing ecological networks for habitat conservation in the case of Çeşme–Urla Peninsula, Turkey , 2011, Environmental monitoring and assessment.

[46]  Tao Huang,et al.  Systematically designating conservation areas for protecting habitat quality and multiple ecosystem services , 2017, Environ. Model. Softw..

[47]  Zhongming Zheng,et al.  Multipurpose greenway planning for changing cities: A framework integrating priorities and a least-cost path model , 2011 .

[48]  Holger R. Maier,et al.  Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model , 2017, Environ. Model. Softw..

[49]  Yu-Huang Wang,et al.  Habitat suitability modelling to correlate gene flow with landscape connectivity , 2008, Landscape Ecology.

[50]  Zhifeng Liu,et al.  Urban expansion dynamics and natural habitat loss in China: a multiscale landscape perspective , 2014, Global change biology.

[51]  Yang Wang,et al.  Modeling the optimal ecological security pattern for guiding the urban constructed land expansions , 2016 .

[52]  Hai-long Ma,et al.  Exploring the relationship between urbanization and the eco-environment-A case study of Beijing-Tianjin-Hebei region , 2014 .

[53]  Jiansheng Wu,et al.  Coupling ecosystem services supply and human ecological demand to identify landscape ecological security pattern: A case study in Beijing–Tianjin–Hebei region, China , 2017, Urban Ecosystems.

[54]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..