IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v342y2016icp186-198.html
   My bibliography  Save this article

How is habitat connectivity affected by settlement and road network configurations? Results from simulating coupled habitat and human networks

Author

Listed:
  • van Strien, Maarten J.
  • Grêt-Regamey, Adrienne

Abstract

Habitat connectivity is important for species’ survival and can be maintained in landscapes with well-connected habitat networks. The integrity of these habitat networks, however, is often threatened by “human networks” consisting of settlements connected by roads with traffic. Both settlement and road network changes can decrease habitat connectivity, either directly or indirectly through changes in traffic flows. Due to these complex interactions, it remains unclear how habitat connectivity in habitat networks is affected by settlement or road network configurations in human networks. To address this issue we develop a new spatially explicit simulation model coupling habitat and human networks. In binary landscape rasters, consisting of settlement patches surrounded by a continuous matrix through which animals could move, we varied the number, the size and the proportion of settlements. Settlements were connected with either dense or sparse road networks. On all roads connecting settlements, we estimated traffic volume based on settlement sizes and topology. Traffic volumes were then used to parameterize landscape resistance networks that quantify the probability of movement for animals throughout the landscape. From these resistance networks, we calculated average habitat connectivity for several animal species (i.e. tree frog, hedgehog and badger). In this innovative model setup, habitat connectivity was thus influenced by a combination of settlement patterns and traffic volumes. For all species, we found a negative correlation between habitat connectivity and the number of settlement patches. Furthermore, in landscapes with a high proportion of settlement, highest habitat connectivity was found when most settlement cells were concentrated in large patches. Surprisingly, in some cases, we found higher habitat connectivity for dense road networks than for sparse road networks. Results from this study can increase our understanding of habitat connectivity in heterogeneous landscapes and lead to recommendations for conservation planning. With this study we demonstrate the importance of considering interactions between spatial networks in ecological analyses.

Suggested Citation

  • van Strien, Maarten J. & Grêt-Regamey, Adrienne, 2016. "How is habitat connectivity affected by settlement and road network configurations? Results from simulating coupled habitat and human networks," Ecological Modelling, Elsevier, vol. 342(C), pages 186-198.
  • Handle: RePEc:eee:ecomod:v:342:y:2016:i:c:p:186-198
    DOI: 10.1016/j.ecolmodel.2016.09.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016305063
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.09.025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan R Rhodes & Daniel Lunney & John Callaghan & Clive A McAlpine, 2014. "A Few Large Roads or Many Small Ones? How to Accommodate Growth in Vehicle Numbers to Minimise Impacts on Wildlife," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    2. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    3. Camagni, Roberto & Gibelli, Maria Cristina & Rigamonti, Paolo, 2002. "Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion," Ecological Economics, Elsevier, vol. 40(2), pages 199-216, February.
    4. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    5. Yihui Ren & Mária Ercsey-Ravasz & Pu Wang & Marta C. González & Zoltán Toroczkai, 2014. "Predicting commuter flows in spatial networks using a radiation model based on temporal ranges," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ceia-Hasse, Ana & Navarro, Laetitia M. & Borda-de-Água, Luís & Pereira, Henrique M., 2018. "Population persistence in landscapes fragmented by roads: Disentangling isolation, mortality, and the effect of dispersal," Ecological Modelling, Elsevier, vol. 375(C), pages 45-53.
    2. Langhammer, Maria & Thober, Jule & Lange, Martin & Frank, Karin & Grimm, Volker, 2019. "Agricultural landscape generators for simulation models: A review of existing solutions and an outline of future directions," Ecological Modelling, Elsevier, vol. 393(C), pages 135-151.
    3. Streib, Lucas & Kattwinkel, Mira & Heer, Henriette & Ruzika, Stefan & Schäfer, Ralf B., 2020. "How does habitat connectivity influence the colonization success of a hemimetabolous aquatic insect? - A modeling approach," Ecological Modelling, Elsevier, vol. 416(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Feihu & Qiao, Shaojie & Peng, Jian & Guo, Bing & Xiong, Xi & Han, Nan, 2019. "A movement model for air passengers based on trip purpose," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 798-808.
    2. Sgrignoli, Paolo & Metulini, Rodolfo & Schiavo, Stefano & Riccaboni, Massimo, 2015. "The relation between global migration and trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 245-260.
    3. Chaogui Kang & Yu Liu & Diansheng Guo & Kun Qin, 2015. "A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-11, November.
    4. Huang, Wei & Chen, Shengyong & Wang, Wanliang, 2014. "Navigation in spatial networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 132-154.
    5. Chen, Ya & Li, Xue & Zhang, Richong & Huang, Zi-Gang & Lai, Ying-Cheng, 2020. "Instantaneous success and influence promotion in cyberspace — how do they occur?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    6. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    7. Albert Solé-Ribalta & Sergio Gómez & Alex Arenas, 2018. "Decongestion of Urban Areas with Hotspot Pricing," Networks and Spatial Economics, Springer, vol. 18(1), pages 33-50, March.
    8. Lenormand, Maxime & Bassolas, Aleix & Ramasco, José J., 2016. "Systematic comparison of trip distribution laws and models," Journal of Transport Geography, Elsevier, vol. 51(C), pages 158-169.
    9. Fangzhou Li & Zhiming Feng & Peng Li & Zhen You, 2017. "Measuring directional urban spatial interaction in China: A migration perspective," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    10. Jiao, Junfeng & Azimian, Amin, 2021. "Measuring accessibility to grocery stores using radiation model and survival analysis," Journal of Transport Geography, Elsevier, vol. 94(C).
    11. Huang, Zhiren & Wang, Pu & Zhang, Fan & Gao, Jianxi & Schich, Maximilian, 2018. "A mobility network approach to identify and anticipate large crowd gatherings," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 147-170.
    12. Hong, Inho & Jung, Woo-Sung, 2016. "Application of gravity model on the Korean urban bus network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 48-55.
    13. Laura Alessandretti & Luis Guillermo Natera Orozco & Meead Saberi & Michael Szell & Federico Battiston, 2023. "Multimodal urban mobility and multilayer transport networks," Environment and Planning B, , vol. 50(8), pages 2038-2070, October.
    14. Jiang, Jincheng & Xu, Zhihua & Zhang, Zhenxin & Zhang, Jie & Liu, Kang & Kong, Hui, 2023. "Revealing the fractal and self-similarity of realistic collective human mobility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    15. Bier, Vicki & Gutfraind, Alexander, 2019. "Risk analysis beyond vulnerability and resilience – characterizing the defensibility of critical systems," European Journal of Operational Research, Elsevier, vol. 276(2), pages 626-636.
    16. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    17. Danjie Shen & Shujing Dong, 2022. "Transition of Urban Morphology in the Mountainous Areas Since Early-Modern Times from the Perspective of Urban Historic Landscape—A GIS Tools and Historical Map Translation Approach," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    18. Wang, Chengjiang & Wang, Li & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2017. "Inferring the reputation enhances the cooperation in the public goods game on interdependent lattices," Applied Mathematics and Computation, Elsevier, vol. 293(C), pages 18-29.
    19. Chen, Lei & Yue, Dong & Dou, Chunxia, 2019. "Optimization on vulnerability analysis and redundancy protection in interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1216-1226.
    20. Guido Caldarelli & Matthieu Cristelli & Andrea Gabrielli & Luciano Pietronero & Antonio Scala & Andrea Tacchella, 2012. "A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-11, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:342:y:2016:i:c:p:186-198. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.