IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v228y2012icp89-95.html
   My bibliography  Save this article

Measuring cumulative effects in a fragmented landscape

Author

Listed:
  • Nogueira Terra, Talita
  • Ferreira dos Santos, Rozely

Abstract

Scientists recognize the importance of studying cumulative environmental effects as stressors, as there are countless stressors in human and technological development. However, existing studies acknowledge methodological limitations of measuring effects that combine and accumulate over time, making it difficult to interpret the processes leading to a given current landscape. Therefore, the objective of this study was to develop a method that would make it possible to define the sequence of human actions and to measure relationships between type, intensity and distribution of cumulative effects by analyzing the past and present composition of the landscape. The method is based on the identification of the cumulative value of effects in landscape units of 900m2. The chronosequence of human activities triggering accumulated effects was obtained from superimposed maps and the magnitude of effects was evaluated using area graphs. The method proposed was applied in a study area, resulting in a map that clearly showed the distribution and synergy of cumulative effects in the study area.

Suggested Citation

  • Nogueira Terra, Talita & Ferreira dos Santos, Rozely, 2012. "Measuring cumulative effects in a fragmented landscape," Ecological Modelling, Elsevier, vol. 228(C), pages 89-95.
    • Handle: RePEc:eee:ecomod:v:228:y:2012:i:c:p:89-95
    DOI: 10.1016/j.ecolmodel.2012.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012000026
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.01.001?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. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
    2. Yang, Zhaoqing & Khangaonkar, Tarang & Calvi, Maria & Nelson, Kurt, 2010. "Simulation of cumulative effects of nearshore restoration projects on estuarine hydrodynamics," Ecological Modelling, Elsevier, vol. 221(7), pages 969-977.
    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. Hackbart, Vivian C.S. & de Lima, Guilherme T.N.P. & dos Santos, Rozely F., 2017. "Theory and practice of water ecosystem services valuation: Where are we going?," Ecosystem Services, Elsevier, vol. 23(C), pages 218-227.
    2. Wenwen Gao & Yuan Zeng & Yu Liu & Bingfang Wu, 2019. "Human Activity Intensity Assessment by Remote Sensing in the Water Source Area of the Middle Route of the South-to-North Water Diversion Project in China," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    3. Lima, Guilherme Theodoro Nascimento Pereira de & Hackbart, Vivian Cristina dos Santos & Bertolo, Lidia Sanches & Santos, Rozely Ferreira dos, 2016. "Identifying driving forces of landscape changes: Historical relationships and the availability of ecosystem services in the Atlantic forest," Ecosystem Services, Elsevier, vol. 22(PA), pages 11-17.

    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. Denis Maragno & Michele Dalla Fontana & Francesco Musco, 2020. "Mapping Heat Stress Vulnerability and Risk Assessment at the Neighborhood Scale to Drive Urban Adaptation Planning," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    2. Kim, Suji & Lee, Sujin & Ko, Eunjeong & Jang, Kitae & Yeo, Jiho, 2021. "Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price," Journal of Transport Geography, Elsevier, vol. 96(C).
    3. Pacheco de Castro Flores Ribeiro, Paulo & Osório de Barros de Lima e Santos, José Manuel & Prudêncio Rafael Canadas, Maria João & Contente de Vinha Novais, Ana Maria & Ribeiro Ferraria Moreira, Franci, 2021. "Explaining farming systems spatial patterns: A farm-level choice model based on socioeconomic and biophysical drivers," Agricultural Systems, Elsevier, vol. 191(C).
    4. Francesca Peroni & Guglielmo Pristeri & Daniele Codato & Salvatore Eugenio Pappalardo & Massimo De Marchi, 2019. "Biotope Area Factor: An Ecological Urban Index to Geovisualize Soil Sealing in Padua, Italy," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    5. Jue Wang & Mei-Po Kwan & Yanwei Chai, 2018. "An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    6. Oliveira, Renata Lúcia Magalhães de & Dablanc, Laetitia & Schorung, Matthieu, 2022. "Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 104(C).
    7. Sungsoo Yoon & Youngjoo Moon & Jinah Jeong & Chan-Ryul Park & Wanmo Kang, 2021. "A Network-Based Approach for Reducing Pedestrian Exposure to PM 2.5 Induced by Road Traffic in Seoul," Land, MDPI, vol. 10(10), pages 1-14, October.
    8. Christopher T. Emrich & Yao Zhou & Sanam K. Aksha & Herbert E. Longenecker, 2022. "Creating a Nationwide Composite Hazard Index Using Empirically Based Threat Assessment Approaches Applied to Open Geospatial Data," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    9. Maria Fabrizia Clemente, 2022. "The Future Impacts of ESL Events in Euro-Mediterranean Coastal Cities: The Coast-RiskBySea Model to Assess the Potential Economic Damages in Naples, Marseille and Barcelona," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    10. Sui Zhang & Minghao Wang & Zhao Yang & Baolei Zhang, 2021. "A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    11. Ryzhkov, Alexander & Sarzhan, Yuliya, 2020. "Market initiative and central planning: A study of the Moscow bus network," Research in Transportation Economics, Elsevier, vol. 83(C).
    12. Marchetti, Yuliya & Nguyen, Hai & Braverman, Amy & Cressie, Noel, 2018. "Spatial data compression via adaptive dispersion clustering," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 138-153.
    13. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    14. Avgar, Tal & Deardon, Rob & Fryxell, John M., 2013. "An empirically parameterized individual based model of animal movement, perception, and memory," Ecological Modelling, Elsevier, vol. 251(C), pages 158-172.
    15. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.
    16. Burdziej Jan, 2019. "Using hexagonal grids and network analysis for spatial accessibility assessment in urban environments – a case study of public amenities in Toruń," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 23(2), pages 99-110, June.
    17. Agnė Jasinavičiūtė & Darijus Veteikis, 2022. "Assessing Landscape Instability through Land-Cover Change Based on the Hemeroby Index (Lithuanian Example)," Land, MDPI, vol. 11(7), pages 1-18, July.
    18. Alessio Arleo & Christos Tsigkanos & Chao Jia & Roger A. Leite & Ilir Murturi & Manfred Klaffenboeck & Schahram Dustdar & Michael Wimmer & Silvia Miksch & Johannes Sorger, 2019. "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge," Papers 1908.07479, arXiv.org, revised Jan 2020.
    19. Fabio Kon & Éderson Cássio Ferreira & Higor Amario Souza & Fábio Duarte & Paolo Santi & Carlo Ratti, 2022. "Abstracting mobility flows from bike-sharing systems," Public Transport, Springer, vol. 14(3), pages 545-581, October.
    20. Lingda Zhang & Quanhua Hou & Yaqiong Duan & Sanbao Ma, 2024. "Spatial and Temporal Heterogeneity of Eco-Environmental Quality in Yanhe Watershed (China) Using the Remote-Sensing-Based Ecological Index (RSEI)," Land, MDPI, vol. 13(6), pages 1-20, May.

    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:228:y:2012:i:c:p:89-95. 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.