Skip to main content

Advertisement

SpringerLink
Log in

Identification of urban flight corridors for migratory birds in the coastal regions of Shenzhen city based on three-dimensional landscapes

  • Research Article
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Context

The rapid urban expansion in southern coastal regions of China can endanger the quality and connectivity of bird habits and thus challenge our capacity for protecting bird species in urban areas. Identifying the ecological corridors that allow migratory birds to and from urban green landscapes is therefore essential for conserving biodiversity in urban areas.

Objectives

This study aimed to explore how urban expansion in vertical direction affects the flying paths of migratory birds and seek measurements to enhance bird migration to and from urban areas.

Methods

The ecological security pattern (ESP) for migratory birds in a coastal region near the Shenzhen city of China was determined based on three-dimensional landscape data and results were evaluated against historical eBird record abundance data.

Results

The positive agreement with historical bird abundance demonstrated that the consideration of three-dimensional landscape in parameterizing the resistance for ESPs can help identify the flight corridors for migratory birds in urban areas and the consequent sixteen key flight corridors with a total length of 454.78 km were identified in and around the Shenzhen city.

Conclusions

The three-dimensional landscape data are essential for identifying flight corridors for migratory birds to and from urban landscapes. The extracted flight corridors in and around the Shenzhen city connected natural reserves with urban parks, thereby enlarging bird habitats and its conservation inside the Shenzhen city.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Ahern J (2013) Urban landscape sustainability and resilience: the promise and challenges of integrating ecology with urban planning and design. Landsc Ecol 28:1203–1212

    Google Scholar 

  • Anon (2018) Monthly waterbird monitoring biannual report 2 (October 2017 to March 2018), Mai Po Inner Deep Bay Ramsar Site Waterbird Monitoring Programme 2017-18. Report by the Hong Kong Bird Watching Society to the Agriculture, Fisheries and Conservation Department, Hong Kong Special Administrative Region Government

  • Barbosa K, Rodewald AD, Ribeiro MC, Jahn AE (2020) Noise level and water distance drive resident and migratory bird species richness within a Neotropical megacity. Landsc Urban Plan 197:103769

    Google Scholar 

  • Bentrup G (2008) Conservation buffers: design guidelines for buffers, corridors, and greenways. Department of Agriculture, Forest Service, Southern Research Station: Gen Tech Rep SRS-109, Asheville, NC

  • Bhowmik AK, Metz M, Schäfer RB (2015) An automated, objective and open source tool for stream threshold selection and upstream riparian corridor delineation. Environ Modell Softw 63:240–250

    Google Scholar 

  • Braaker S, Kormann U, Bontadina F, Obrist MK (2017) Prediction of genetic connectivity in urban ecosystems by combining detailed movement data, genetic data and multipath modelling. Landsc Urban Plan 160:107–114

    Google Scholar 

  • Buelow CA, Baker R, Reside AE, Sheaves M (2017) Spatial dynamics of coastal forest bird assemblages: the influence of landscape context, forest type, and structural connectivity. Landsc Ecol 32:547–561

    Google Scholar 

  • Bullock JM, Aronson J, Newton AC, Pywell RF, Reybenayas JM (2011) Restoration of ecosystem services and biodiversity: conflicts and opportunities. Trends Ecol Evol 26(10):541–549

    PubMed  Google Scholar 

  • Callaghan CT, Bino G, Major RE, Martin JM, Lyons M, Kingsford RT (2019) Heterogeneous urban green areas are bird diversity hotspots: insights using continental-scale citizen science data. Landsc Ecol 34(6):1231–1246

    Google Scholar 

  • Carbó-Ramírez P, Zuria I (2011) The value of small urban greenspaces for birds in a Mexican city. Landsc Urban Plan 100:213–222

    Google Scholar 

  • Chen Z, Xu B, Devereux B (2014) Urban landscape pattern analysis based on 3D landscape models. Appl Geogr 55:82–91

    Google Scholar 

  • Cox DTC, Gaston KJ (2015) Likeability of garden birds: importance of species knowledge & richness in connecting people to nature. PLoS ONE 10:e0141505

    PubMed  PubMed Central  Google Scholar 

  • Dickson BG, Albano CM, Anantharaman R, Beier P, Fargione J, Graves TA, Miranda EG, Kimberly RH, Josh L, Leonard PB, Littlefield CE, Mcclure ML, Novembre J, Schloss CA, Schumaker NH, Shah VB, Theobald DM (2019) Circuit-theory applications to connectivity science and conservation. Conserv Biol 33(2):239–249

    PubMed  Google Scholar 

  • Diniz MF, Cushman SA, Machado RB, Junior PD (2019) Landscape connectivity modeling from the perspective of animal dispersal. Landsc Ecol. https://doi.org/10.1007/s10980-019-00935-3

    Article  Google Scholar 

  • Douglas I, Sadler JP (2011) Urban wildlife corridors: conduits for movement or linear habitat. In: Douglas I, Goode D, Houck M, Wang R (eds) The Routledge handbook of urban ecology. Routledge, Oxford, pp 274–288

    Google Scholar 

  • Fijn RC, Krijgsveld KL, Poot MJM, Dirksen S (2015) Bird movements at rotor heights measured continuously with vertical radar at a Dutch offshore wind farm. Int J Avian Sci 157:558–566

    Google Scholar 

  • Flaspohler DJ, Giardina CP, Asner GP, Hart P, Price J, Lyons CK, Castaneda X (2010) Long-term effects of fragmentation and fragment properties on bird species richness in Hawaiian forests. Biol Conserv 143(2):280–288

    Google Scholar 

  • Fletcher RJ, Sefair JA, Wang C, Poli CL, Smith TA, Bruna E, Holt RD, Barfield M, Marx AJ, Acevedo MA (2019) Towards a unified framework for connectivity that disentangles movement and mortality in space and time. Ecol Lett 22(10):1680–1689

    PubMed  Google Scholar 

  • Grafius DR, Corstanje R, Siriwardena GM, Plummer KE, Harris JA (2017) A bird's eye view: using circuit theory to study urban landscape connectivity for birds. Landsc Ecol 32:1771–1787

    PubMed  PubMed Central  Google Scholar 

  • Grafius DR, Corstanje R, Warren PH, Evans KL, Norton BA, Siriwardena G, Pescott OL, Plummer KE, Mears M, Zawadzka J, Richards JP, Harris JA (2019) Using GIS-linked Bayesian Belief Networks as a tool for modelling urban biodiversity. Landsc Urban Plan 189:382–395

    Google Scholar 

  • Haddad NM, Brudvig LA, Damschen EI, Evans DM, Johnson BL, Levey DJ, Orrock JL, Resasco J, Sullivan LL, Tewksbury JJ, Wagner SA, Weldon AJ (2014) Potential negative ecological effects of corridors. Conserv Biol 28(5):1178–1187

    PubMed  Google Scholar 

  • Hager SB, Cosentino BJ, McKay KJ, Monson C, Zuurdeeg W, Blevins B (2013) Window area and development drive spatial variation in bird-window collisions in an urban landscape. PLoS ONE 8(1):e53371

    CAS  PubMed  PubMed Central  Google Scholar 

  • Hinsley SA, Hill RA, Bellamy PE, Harrison NM, Speakman JR, Wilson AK, Ferns PN (2008) Effects of structural and functional habitat gaps on breeding woodland birds: working harder for less. Landsc Ecol 23:615–626

    Google Scholar 

  • Hobbs RJ (1992) The role of corridors in conservation: solution or bandwagon? Trends Ecol Evol 7:389–392

    CAS  PubMed  Google Scholar 

  • Hong S, Han B, Choi S, Sung CY, Lee K (2013) Planning an ecological network using the predicted movement paths of urban birds. Landsc Ecol Eng 9:165–174

    Google Scholar 

  • Horskins K, Mather PB, Wilson JC (2006) Corridors and connectivity: when use and function do not equate. Landsc Ecol 21(5):641–655

    Google Scholar 

  • Horta MB, Bhakti T, Cordeiro PF, Carvalhoribeiro SM, Fernandes GW, Goulart F (2018) Functional connectivity in urban landscapes promoted by Ramphastos toco (Toco Toucan) and its implications for policy making. Urban Ecosyst 21(6):1097–1111

    Google Scholar 

  • Kedron P, Zhao Y, Frazier AE (2019) Three dimensional (3D) spatial metrics for objects. Landsc Ecol 34(9):2123–2132

    Google Scholar 

  • Knaapen J, Scheffer M, Harms B (1992) Estimating habitat isolation in landscape planning. Landsc Urban Plan 23:1–16

    Google Scholar 

  • Kong F, Yin H, Zong NNY (2010) Urban green space network development for biodiversity conservation: Identification based on graph theory and gravity modeling. Landsc Urban Plan 95:16–27

    Google Scholar 

  • Li F, Ye Y, Song B, Wang R (2015) Evaluation of urban suitable ecological land based on the minimum cumulative resistance model: a case study from Changzhou, China. Ecol Model 318:194–203

    Google Scholar 

  • Liu M, Hu Y, Li C (2017) Landscape metrics for three-dimensional urban building pattern recognition. Appl Geogr 87:66–72

    CAS  Google Scholar 

  • McAlpine C, Seabrook L, Rhodes JR, Maron M, Smith C, Bowen M, Butler SA, Powell O, Ryan JG, Fyfe CT, Adams-Hosking C, Smith A, Robertson O, Howes A, Cattarino L (2010) Can a problem-solving approach strengthen landscape ecology’s contribution to sustainable landscape planning? Landsc Ecol 25(8):1155–1168

    Google Scholar 

  • McRae BH, Dickson BG, Keitt TH, Shah VB (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology 89(10):2712–2724

    PubMed  Google Scholar 

  • Newton I (2007) The migration ecology of birds. Academic Press, London

    Google Scholar 

  • Norton BA, Evans KL, Warren PH (2016) Urban biodiversity and landscape ecology: patterns, processes and planning. Curr Landsc Ecol Rep 1:178

    Google Scholar 

  • Parkins KL, Elbin SB, Barnes E (2015) Light, glass, and bird–building collisions in an Urban Park. Northeastern Nat 22(1):84–94

    Google Scholar 

  • Peng J, Liu Y, Wu J, Lv H, Hu X (2015) Linking ecosystem services and landscape patterns to assess urban ecosystem health: a case study in Shenzhen City, China. Landsc Urban Plan 143:56–68

    Google Scholar 

  • Peng J, Pan Y, Liu Y, Zhao H, Wang Y (2018a) Linking ecological degradation risk to identify ecological security patterns in a rapidly urbanizing landscape. Habitat Int 71:110–124

    Google Scholar 

  • Peng J, Yang Y, Liu Y, Hu Y, Du Y, Meersmans J, Qiu S (2018b) Linking ecosystem services and circuit theory to identify ecological security patterns. Sci Total Environ 644:781–790

    CAS  PubMed  Google Scholar 

  • Peng J, Zhao H, Liu Y (2017) Urban ecological corridors construction: a review. Acta Ecol Sin 37(1):23–30

    Google Scholar 

  • Peng J, Zhao S, Dong J, Liu Y, Meersmans J, Li H, Wu J (2019) Applying ant colony algorithm to identify ecological security patterns in megacities. Environ Modell Softw 117:214–222

    Google Scholar 

  • Pierik ME, Dell AM, Confalonieri R, Bocchi S, Gomarasca S (2016) Designing ecological corridors in a fragmented landscape: a fuzzy approach to circuit connectivity analysis. Ecol Indic 67:807–820

    Google Scholar 

  • Polasky S, Nelson E, Pennington D, Johnson KA (2011) The impact of land-use change on ecosystem services, biodiversity and returns to landowners: a case study in the State of Minnesota. Environ Resour Econ 48:219–242

    Google Scholar 

  • Rodewald AD, Bakermans MH (2006) What is the appropriate paradigm for riparian forest conservation? Biol Conserv 128:193–200

    Google Scholar 

  • Rudnick D, Ryan SJ, Beier P, Dieffenbach F (2012) The role of landscape connectivity in planning and implementing conservation and restoration priorities. Issues Ecol 16:1–20

    Google Scholar 

  • Saura S, Torne J (2009) Short communication: Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity. Environ Modell Softw 24(1):135–139

    Google Scholar 

  • Sharp R, Tallis HT, Ricketts T, Guerry AD, Wood SA, Chaplin-Kramer R, Nelson E, Ennaanay D, Wolny S, Olwero N, Vigerstol K, Pennington D, Mendoza G, Aukema J, Foster J, Forrest J, Cameron D, Arkema K, Lonsdorf E, Kennedy C, Verutes G, Kim CK, Guannel G, Papenfus M, Toft J, Marsik M, Bernhardt J, Griffin R, Glowinski K, Chaumont N, Perelman A, Lacayo MML, Hamel P, Vogl AL, Rogers L, Bierbower W, Denu D, Douglass J (2018) InVEST 3.7.0. User’s Guide. The Natural Capital Project, Stanford University, University of Minnesota, The Nature Conservancy, and World Wildlife Fund

  • Sheppard C, Phillips G (2015) Bird-friendly building design, 2nd edn. American Bird Conservancy, The Plains, VA

    Google Scholar 

  • Su Y, Chen X, Liao J, Zhang H, Wang C, Ye Y, Wang Y (2016) Modeling the optimal ecological security pattern for guiding the urban constructed land expansions. Urban For Urban Gree 19:35–46

    Google Scholar 

  • Sullivan BL, Phillips T, Dayer AA, Wood CL, Farnsworth A, Iliff MJ, Davies IJ, Wiggins A, Fink D, Hochachka WM, Rodewald AD, Rosenberg KV, Bonney R, Kelling S (2017) Using open access observational data for conservation action: a case study for birds. Biol Conserv 208:5–14

    Google Scholar 

  • Sushinsky JR, Rhodes JR, Possingham HP, Gill TK, Fuller RA (2013) How should we grow cities to minimize their biodiversity impacts? Glob Change Biol 19:401–410

    Google Scholar 

  • Taylor PD, Fahrig L, Henein K, Merriam G (1993) Connectivity is a vital element of landscape structure. Oikos 68:571–573

    Google Scholar 

  • Tian Y, Zhou W, Qian Y, Zheng Z, Yan J (2019) The effect of urban 2D and 3D morphology on air temperature in residential neighborhoods. Landsc Ecol 34:1161–1178

    Google Scholar 

  • Tremblay MA, St. Clair CC (2009) Factors affecting the permeability of transportation and riparian corridors to the movements of songbirds in an urban landscape. J Appl Ecol 46:1314–1322

    Google Scholar 

  • Tremblay MA, St. Clair CC (2011) Permeability of a heterogeneous urban landscape to the movements of forest songbirds. J Appl Ecol 48:679–688

    Google Scholar 

  • van Der Wind HV, Swart J (2008) Ecological corridors, connecting science and politics: the case of the Green River in the Netherlands. J Appl Ecol 45(1):124–132

    Google Scholar 

  • Vergnes A, Kerbiriou C, Clergeau P (2013) Ecological corridors also operate in an urban matrix: a test case with garden shrews. Urban Ecosyst 16(3):511–525

    Google Scholar 

  • Vos C, Opdam P, Steingröver E, Reijnen R (2007) Transferring ecological knowledge to landscape planning: a design method for robust corridors. In: Wu J, Hobbs R (eds) Key topics in landscape ecology (Cambridge studies in landscape ecology. Cambridge University Press, Cambridge, pp 227–245

    Google Scholar 

  • Wu J (2014) Urban ecology and sustainability: the state-of-the-science and future directions. Landsc Urban Plan 125:209–221

    Google Scholar 

  • Wu Q, Guo F, Li H, Kang J (2017) Measuring landscape pattern in three dimensional space. Landsc Urban Plan 167:49–59

    Google Scholar 

  • Xue X, Lin Y, Zheng Q, Wang K, Zhang J, Deng J, Abubakar GA, Gan M (2020) Mapping the fine-scale spatial pattern of artificial light pollution at night in urban environments from the perspective of bird habitats. Sci Total Environ 702:134725

    CAS  PubMed  Google Scholar 

  • Yu K (1996) Security patterns and surface model in landscape ecological planning. Landsc Urban Plan 36:1–17

    Google Scholar 

  • Zhang L, Ouyang Z (2019) Focusing on rapid urbanization areas can control the rapid loss of migratory water bird habitats in China. Glob Ecol Conserv 20:e00801

    Google Scholar 

  • Zhang L, Peng J, Liu Y, Wu J (2017) Coupling ecosystem services supply and human ecological demand to identify landscape ecological security pattern: a case study in Beijing–Tianjin–Hebei region, China. Urban Ecosyst 20:701–714

    Google Scholar 

  • Zhang Y, Middel A, Turner B (2019) Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression. Landsc Ecol 34(3):681–697

    Google Scholar 

  • Zúñiga-Vega JJ, Solano-Zavaleta I, Sáenz-Escobar MF (2019) Habitat traits that increase the probability of occupancy of migratory birds in an urban ecological reserve. Acta Oecol 101:103480

    Google Scholar 

Download references

Acknowledgements

This study was financially supported by the Natural Science Foundation of China (Grant No. 41571172). We thank the reviewers and editors for their thoughtful suggestions that have helped to improve the paper substantially.

Author information

Authors and Affiliations

  1. Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China

    Zhenhuan Liu, Qiandu Huang & Guoping Tang

Authors
  1. Zhenhuan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qiandu Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guoping Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhenhuan Liu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Z., Huang, Q. & Tang, G. Identification of urban flight corridors for migratory birds in the coastal regions of Shenzhen city based on three-dimensional landscapes. Landscape Ecol 36, 2043–2057 (2021). https://doi.org/10.1007/s10980-020-01032-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-020-01032-6

Keywords

Search

Navigation