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Livestock Trails as Keystone Structural Connectors for Pastureland Analysis Based on Remote Sensing and Structural Connectivity Assessment

Author

Listed:
  • Javier Gutiérrez

    (Department of Education of Navarra, Government of Navarra, Calle de Santo Domingo, 8, 31001 Pamplona, Spain)

  • Javier Velázquez

    (Faculty of Science and Arts, Catholic University of Avila, Calle de los Canteros, s/n, 05005 Avila, Spain)

  • Jacobo Rodríguez

    (Faculty of Science and Arts, Catholic University of Avila, Calle de los Canteros, s/n, 05005 Avila, Spain)

  • Ana Hernando

    (Research Group SILVANET, Polytechnic University of Madrid, E.T.S.I. Montes, Ciudad Universitaria, 28040 Madrid, Spain)

  • Inmaculada Gómez

    (Faculty of Science and Arts, Catholic University of Avila, Calle de los Canteros, s/n, 05005 Avila, Spain)

  • Fernando Herráez

    (Faculty of Science and Arts, Catholic University of Avila, Calle de los Canteros, s/n, 05005 Avila, Spain)

  • Aida López-Sánchez

    (Faculty of Science and Arts, Catholic University of Avila, Calle de los Canteros, s/n, 05005 Avila, Spain)

Abstract

This paper presents a methodology to study the connectivity that livestock trails can offer to guarantee the transit of organisms and access to pasturelands. In this regard, a connectivity analysis was carried out in two scenarios: Basic Scenario (Scenario 1: pasture) and Extended Scenario (Scenario 2: pasture + livestock trails) by using the Morphological Spatial Pattern Analysis (MSPA). The result of structural connectivity analysis, MSPA, showed that livestock trails reduce the fragmentation of the optimal terrain (pasturelands) for livestock activity, since the effective corridors are more numerous, and the edge effect is also reduced. Therefore, MSPA analysis allows the classification of any landscape typology at the pixel level and mapping of corridor structures (connecting elements) and other categories of spatial patterns on a continental scale. The results of the study show the importance of carrying out this type of analysis in different times of the year, detecting the evolution of connectivity throughout the year. Spring months and larger areas of pastureland offer the best conditions for the movements of organisms. This study aims to provide useful information for landscape or territorial planning, and it could be used to improve the management of wildlife dependent on high quality pastures, as well as to promote the management of semi-extensive livestock.

Suggested Citation

  • Javier Gutiérrez & Javier Velázquez & Jacobo Rodríguez & Ana Hernando & Inmaculada Gómez & Fernando Herráez & Aida López-Sánchez, 2021. "Livestock Trails as Keystone Structural Connectors for Pastureland Analysis Based on Remote Sensing and Structural Connectivity Assessment," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5971-:d:562153
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    References listed on IDEAS

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    1. Monika Roman & Kamil Roman & Michał Roman, 2021. "Spatial Variation in Particulate Emission Resulting from Animal Farming in Poland," Agriculture, MDPI, vol. 11(2), pages 1-14, February.
    2. Maria Cristina Yunes & Zimbábwe Osório-Santos & Marina A. G. von Keyserlingk & Maria José Hötzel, 2021. "Gene Editing for Improved Animal Welfare and Production Traits in Cattle: Will This Technology Be Embraced or Rejected by the Public?," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    3. Iglesias, Eva & Báez, Karen & Diaz-Ambrona, Carlos H., 2016. "Assessing drought risk in Mediterranean Dehesa grazing lands," Agricultural Systems, Elsevier, vol. 149(C), pages 65-74.
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