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Mapping the Loss of Ecosystem Services in a Region Under Intensive Land Use Along the Southern Coast of South Africa

Author

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  • Hanlie Malherbe

    (Strategic Landscape Planning and Management, School of Life Sciences Weihenstephan, Technical University of Munich, Emil-Ramann-Str. 6, 85354 Freising, Germany
    Department of Forestry, Weihenstephan-Triesdorf University of Applied Sciences, Hans-Carl-von-Carlowitz-Platz 3, 85354 Freising, Germany)

  • Stephan Pauleit

    (Strategic Landscape Planning and Management, School of Life Sciences Weihenstephan, Technical University of Munich, Emil-Ramann-Str. 6, 85354 Freising, Germany)

  • Carsten Lorz

    (Department of Forestry, Weihenstephan-Triesdorf University of Applied Sciences, Hans-Carl-von-Carlowitz-Platz 3, 85354 Freising, Germany)

Abstract

Intensive land use activities worldwide have caused considerable loss to many ecosystem services. The dynamics of these threats must be quickly investigated to ensure timely update of management strategies and policies. Compared with complex models, mapping approaches that use scoring matrices to link land use/land cover and landscape properties with ecosystem services are relatively efficient and easier to apply. In this study, scoring matrices are developed and spatially explicit assessments of five ecosystem services, such as erosion control, water flow regulation, water quality maintenance, soil quality maintenance, and biodiversity maintenance, are conducted for a region under intense land use along the southern coast of South Africa. The complex interaction of land use/land cover and ecosystem services within a particular landscape is further elucidated by performing a spatial overview of the high-risk areas that contribute to the loss of ecosystem services. Results indicate that both agricultural activities and urban development contribute to the loss of ecosystem services. This study reveals that with sufficient knowledge from previous literature and inputs from experts, the use of scoring matrices can be adapted to different regional characteristics. This approach can be improved by adding additional landscape properties and/or adapting the matrix values as new data become available.

Suggested Citation

  • Hanlie Malherbe & Stephan Pauleit & Carsten Lorz, 2019. "Mapping the Loss of Ecosystem Services in a Region Under Intensive Land Use Along the Southern Coast of South Africa," Land, MDPI, vol. 8(3), pages 1-18, March.
  • Handle: RePEc:gam:jlands:v:8:y:2019:i:3:p:51-:d:215959
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    References listed on IDEAS

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    1. Vrebos, Dirk & Staes, Jan & Vandenbroucke, Tom & D׳Haeyer, Tom & Johnston, Robyn & Muhumuza, Moses & Kasabeke, Clovis & Meire, Patrick, 2015. "Mapping ecosystem service flows with land cover scoring maps for data-scarce regions," Ecosystem Services, Elsevier, vol. 13(C), pages 28-40.
    2. R. J. Scholes & R. Biggs, 2005. "A biodiversity intactness index," Nature, Nature, vol. 434(7029), pages 45-49, March.
    3. Anna Lüke & Jochen Hack, 2018. "Comparing the Applicability of Commonly Used Hydrological Ecosystem Services Models for Integrated Decision-Support," Sustainability, MDPI, vol. 10(2), pages 1-22, January.
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    Cited by:

    1. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2020. "Evaluation and Factor Analysis of the Intensive Use of Urban Land Based on Technical Efficiency Measurement—A Case Study of 38 Districts and Counties in Chongqing, China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    2. Liangliang Zhou & Yishao Shi & Xiangyang Cao, 2019. "Evaluation of Land Intensive Use in Shanghai Pilot Free Trade Zone," Land, MDPI, vol. 8(6), pages 1-16, May.

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