Regional Environmental Change

, Volume 19, Issue 1, pp 149–163 | Cite as

Effect of the landscape matrix condition for prioritizing multispecies connectivity conservation in a highly biodiverse landscape of Central Mexico

  • Camilo A. Correa Ayram
  • Manuel E. MendozaEmail author
  • Andrés Etter
  • Diego R. Pérez-Salicrup
Original Article


Implementing and monitoring long-term conservation strategies demands identifying priorities for preserving landscape connectivity. In this manuscript, we present an approach to prioritize areas for preserving landscape connectivity by using the landscape matrix in central-western Mexico and the connectivity for habitat patches considering ensembles of different terrestrial organisms. We aggregated three multispecies connectivity scenarios into a composite corridor scenario. To evaluate which corridors were more important to multispecies connectivity, we used the composite corridor model based on two ways: (1) the contribution of habitat patches that the corridor connects to overall connectivity and (2) the corridor’s capability for facilitating movement across the network of patches. Habitat patches were classified according to their value for the conservation of multispecies connectivity by hybridizing circuit-based and spatial prioritization models for connectivity conservation. We developed current flow models for each species (n = 40) and combined them in four prioritization models corresponding to the three multispecies groups and an all-species group. We found that the corridors having the highest accumulated importance (CI ≥ 58) are located along the protected areas of Pico de Tancítaro and the Monarch Butterfly Biosphere Reserve (Reserva de la Biosfera de la Mariposa Monarca–RBMM, Spanish acronym), which have relatively similar spatial distributions corridors compared to areas with priority for conservation (relative rank test = 0.6). Within those areas, there are permeable sectors with high connectivity retention values that could optimize their ecological function as multispecies corridors. Our approach is applicable to different landscapes, and it allows for identifying priorities for connectivity conservation by integrating landscape elements outside habitat patches.


Spatial conservation planning Landscape connectivity Multispecies Corridors Mexico 



The authors acknowledge CONACyT and DGAPA-PAPIIT-UNAM for financing this research through the projects 179386 and IN107016, respectivaly. The first author thanks CONACyT for granting him a scholarship to obtain a PhD degree in Geography in UNAM. We also want to thank Dr. Sergio Zárate and Mary Ann Hall for his support in revising the English version of the manuscript. We also want to thank the valuable corrections and suggestions by Dr. Granger and two anonymous reviewers, which substantially improved the quality of the manuscript. M.E.M. and D.R.P.S. also acknowledge sabbatical Grants from PASPA-UNAM.

Supplementary material

10113_2018_1393_MOESM1_ESM.docx (15 kb)
Appendix 1 Basic metric information of the land use land cover matrix. (DOCX 15 kb)
10113_2018_1393_MOESM2_ESM.docx (42 kb)
Appendix 2 Multi-species groups and information about home ranges and dispersal distances used to evaluate the human footprint on habitat connectivity. (DOCX 41 kb)
10113_2018_1393_MOESM3_ESM.docx (24 kb)
Appendix 3 Main characteristics and description of the indexes used during the prioritization evaluation. (DOCX 23 kb)
10113_2018_1393_MOESM4_ESM.jpg (183 kb)
Appendix 4 Results of the pairwise comparison of connectivity conservation priority scenarios (see Fig. 7). Solid circles indicate the degree of spatial overlap of each pair of scenarios determined by the relative rank test of Warren (Warren and Seifert 2011) and solid triangles show the results of the Pearson correlation test. (JPG 182 kb)
10113_2018_1393_MOESM5_ESM.jpg (8.9 mb)
Appendix 5 Most important corridors of the study area. (JPG 9118 kb)
10113_2018_1393_MOESM6_ESM.docx (14 kb)
Appendix 6 Metric information about the 10 most important corridors of the study area. (DOCX 13 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Camilo A. Correa Ayram
    • 1
    • 2
  • Manuel E. Mendoza
    • 1
    Email author
  • Andrés Etter
    • 3
  • Diego R. Pérez-Salicrup
    • 4
  1. 1.Centro Investigaciones en Geografía AmbientalUniversidad Nacional Autónoma de MéxicoMoreliaMexico
  2. 2.Instituto de Investigación de Recursos BiológicosBogotáColombia
  3. 3.Departamento de Ecología y Territorio, Facultad de Estudios Ambientales y RuralesPontificia Universidad JaverianaBogotáColombia
  4. 4.Instituto de Investigaciones en Ecosistemas y SustentabilidadUniversidad Nacional Autónoma de MéxicoMoreliaMexico

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