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Defining the next generation modeling of coastal ecotone dynamics in response to global change

Author

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  • Jiang, Jiang
  • DeAngelis, Donald L.
  • Teh, Su-Yean
  • Krauss, Ken W.
  • Wang, Hongqing
  • Li, Haidong
  • Smith, Thomas J.
  • Koh, Hock-Lye

Abstract

Coastal ecosystems are especially vulnerable to global change; e.g., sea level rise (SLR) and extreme events. Over the past century, global change has resulted in salt-tolerant (halophytic) plant species migrating into upland salt-intolerant (glycophytic) dominated habitats along major rivers and large wetland expanses along the coast. While habitat transitions can be abrupt, modeling the specific drivers of abrupt change between halophytic and glycophytic vegetation is not a simple task. Correlative studies, which dominate the literature, are unlikely to establish ultimate causation for habitat shifts, and do not generate strong predictive capacity for coastal land managers and climate change adaptation exercises. In this paper, we first review possible drivers of ecotone shifts for coastal wetlands, our understanding of which has expanded rapidly in recent years. Any exogenous factor that increases growth or establishment of halophytic species will favor the ecotone boundary moving upslope. However, internal feedbacks between vegetation and the environment, through which vegetation modifies the local microhabitat (e.g., by changing salinity or surface elevation), can either help the system become resilient to future changes or strengthen ecotone migration. Following this idea, we review a succession of models that have provided progressively better insight into the relative importance of internal positive feedbacks versus external environmental factors. We end with developing a theoretical model to show that both abrupt environmental gradients and internal positive feedbacks can generate the sharp ecotonal boundaries that we commonly see, and we demonstrate that the responses to gradual global change (e.g., SLR) can be quite diverse.

Suggested Citation

  • Jiang, Jiang & DeAngelis, Donald L. & Teh, Su-Yean & Krauss, Ken W. & Wang, Hongqing & Li, Haidong & Smith, Thomas J. & Koh, Hock-Lye, 2016. "Defining the next generation modeling of coastal ecotone dynamics in response to global change," Ecological Modelling, Elsevier, vol. 326(C), pages 168-176.
  • Handle: RePEc:eee:ecomod:v:326:y:2016:i:c:p:168-176
    DOI: 10.1016/j.ecolmodel.2015.04.013
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    References listed on IDEAS

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    1. Jiang, Jiang & Gao, Daozhou & DeAngelis, Donald L., 2012. "Towards a theory of ecotone resilience: Coastal vegetation on a salinity gradient," Theoretical Population Biology, Elsevier, vol. 82(1), pages 29-37.
    2. Teh, Su Yean & DeAngelis, Donald L. & Sternberg, Leonel da Silveira Lobo & Miralles-Wilhelm, Fernando R. & Smith, Thomas J. & Koh, Hock-Lye, 2008. "A simulation model for projecting changes in salinity concentrations and species dominance in the coastal margin habitats of the Everglades," Ecological Modelling, Elsevier, vol. 213(2), pages 245-256.
    3. Amartya Saha & Sonali Saha & Jimi Sadle & Jiang Jiang & Michael Ross & René Price & Leonel Sternberg & Kristie Wendelberger, 2011. "Sea level rise and South Florida coastal forests," Climatic Change, Springer, vol. 107(1), pages 81-108, July.
    4. Rogers, Kerrylee & Saintilan, Neil & Copeland, Craig, 2012. "Modelling wetland surface elevation dynamics and its application to forecasting the effects of sea-level rise on estuarine wetlands," Ecological Modelling, Elsevier, vol. 244(C), pages 148-157.
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    2. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    3. Park, Joseph & Redwine, Jed & Hill, Troy D. & Kotun, Kevin, 2019. "Water resource and ecotone transformation in coastal ecosystems," Ecological Modelling, Elsevier, vol. 405(C), pages 69-85.
    4. Acosta-Velázquez, Joanna & Ochoa-Gómez, Jonathan & Vázquez-Lule, Alma & Guevara, Mario, 2023. "Changes in mangrove coverage classification criteria could impact the conservation of mangroves in Mexico," Land Use Policy, Elsevier, vol. 129(C).
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