IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i12p1381-d701698.html
   My bibliography  Save this article

Threat Ranking to Improve Conservation Planning: An Example from the Gediz Delta, Turkey

Author

Listed:
  • Dilara Arslan

    (Tour du Valat, Institut de Recherche pour la Conservation des Zones Humides Méditerranéennes, Le Sambuc, 13200 Arles, France
    Institut Méditerranéen de Biodiversité et d’Ecologie Marine et Continentale 3(IMBE), Avignon Université, UMR CNRS IRD Aix Marseille Université, IUT Site Agroparc, BP 61207, CEDEX 09, 84911 Avignon, France)

  • Kerim Çiçek

    (Zoology Section, Department of Biology, Faculty of Science, Ege University, Izmir 35100, Turkey)

  • Ömer Döndüren

    (İzmir Büyükşehir Belediyesi, Izmir 35250, Turkey)

  • Lisa Ernoul

    (Tour du Valat, Institut de Recherche pour la Conservation des Zones Humides Méditerranéennes, Le Sambuc, 13200 Arles, France)

Abstract

Mediterranean wetlands are among the most threatened natural areas. The needs and demands of an increasing human population are modifying land use and converting natural habitats into artificial areas. In order to combat these trends, effective conservation planning needs to provide clear, systematic identification of threats to find sustainable conservation strategies. In this case study, we evaluated current threats in the Gediz Delta (Turkey) using a multi-method approach. First, we did a comprehensive literature review and stakeholder interviews to identify existing threats. We then did a complete survey of the Delta through intensive fieldwork. The threats were coded and ranked using the conservation standards. We used the threat ranking and field survey to map the most vulnerable areas of the Delta. The most commonly observed threats in the field were pollution and agriculture and aquaculture activities. According to the threat ranking, the most important threats are climate change and residential and commercial development. The habitats that are most at risk are agricultural grassland habitats. The results indicate a need to extend conservation actions in the inner part of the Delta. In addition, the multi-method threat ranking approach could serve as a model to improve conservation planning in other sites worldwide.

Suggested Citation

  • Dilara Arslan & Kerim Çiçek & Ömer Döndüren & Lisa Ernoul, 2021. "Threat Ranking to Improve Conservation Planning: An Example from the Gediz Delta, Turkey," Land, MDPI, vol. 10(12), pages 1-16, December.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1381-:d:701698
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/12/1381/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/12/1381/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lucile Muneret & Matthew Mitchell & Verena Seufert & Stéphanie Aviron & El Aziz Djoudi & Julien Pétillon & Manuel Plantegenest & Denis Thiéry & Adrien Rusch, 2018. "Evidence that organic farming promotes pest control," Nature Sustainability, Nature, vol. 1(7), pages 361-368, July.
    2. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    Full references (including those not matched with items on IDEAS)

    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. Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
    2. Julia Bachtrögler & Christoph Hammer & Wolf Heinrich Reuter & Florian Schwendinger, 2019. "Guide to the galaxy of EU regional funds recipients: evidence from new data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(1), pages 103-150, February.
    3. Shuyue Huang & Lena Jingen Liang & Hwansuk Chris Choi, 2022. "How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    4. Laura Anderlucci & Cinzia Viroli, 2020. "Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 759-770, December.
    5. Stefano Sbalchiero & Maciej Eder, 2020. "Topic modeling, long texts and the best number of topics. Some Problems and solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1095-1108, August.
    6. Nesar Ahmed & Shirley Thompson & Giovanni M. Turchini, 2020. "Organic aquaculture productivity, environmental sustainability, and food security: insights from organic agriculture," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1253-1267, December.
    7. Daoud, Adel & Kohl, Sebastian, 2016. "How much do sociologists write about economic topics? Using big data to test some conventional views in economic sociology, 1890 to 2014," MPIfG Discussion Paper 16/7, Max Planck Institute for the Study of Societies.
    8. Necmettin Alpay Koçak, 2020. "The Role of Ecb Speeches in Nowcasting German Gdp," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2020(2), pages 05-20.
    9. JooSeok Oh & Timothy Paul Connerton & Hyun-Jung Kim, 2019. "The Rediscovery of Brand Experience Dimensions with Big Data Analysis: Building for a Sustainable Brand," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    10. Schierholz, Malte & Gensicke, Miriam & Tschersich, Nikolai, 2016. "Occupation coding during the interview," IAB-Discussion Paper 201617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Igor Barahona & Daría Micaela Hernández & Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruíz, 2018. "Identifying research topics in marketing science along the past decade: a content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 293-312, October.
    12. Sangsung Park & Sunghae Jun, 2020. "Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis," Sustainability, MDPI, vol. 12(2), pages 1-11, January.
    13. David C Molik & DeAndre Tomlinson & Shane Davitt & Eric L Morgan & Matthew Sisk & Benjamin Roche & Natalie Meyers & Michael E Pfrender, 2021. "Combining natural language processing and metabarcoding to reveal pathogen-environment associations," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(4), pages 1-21, April.
    14. Hornik, Kurt & Grün, Bettina, 2014. "movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i10).
    15. Tomasz Kopczewski, 2015. "Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software," Working Papers 2015-38, Faculty of Economic Sciences, University of Warsaw.
    16. Cho, Yung-Jan & Fu, Pei-Wen & Wu, Chi-Cheng, 2017. "Popular Research Topics in Marketing Journals, 1995–2014," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 52-72.
    17. Junhyeog Choi & Sunghae Jun & Sangsung Park, 2016. "A Patent Analysis for Sustainable Technology Management," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    18. Jingxuan Liu & Ping Qiao & Jian Ding & Luke Hankinson & Elodie H. Harriman & Edward M. Schiller & Ieva Ramanauskaite & Haowei Zhang, 2020. "Will the Aviation Industry Have a Bright Future after the COVID-19 Outbreak? Evidence from Chinese Airport Shipping Sector," JRFM, MDPI, vol. 13(11), pages 1-14, November.
    19. Ingmar Böschen, 2021. "Software review: The JATSdecoder package—extract metadata, abstract and sectioned text from NISO-JATS coded XML documents; Insights to PubMed central’s open access database," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9585-9601, December.
    20. Joanna Smoluk-Sikorska & Mariusz Malinowski, 2021. "An Attempt to Apply Canonical Analysis to Investigate the Dependencies between the Level of Organic Farming Development in Poland and the Chosen Environmental Determinants," Energies, MDPI, vol. 14(24), pages 1-26, December.

    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:gam:jlands:v:10:y:2021:i:12:p:1381-:d:701698. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.