IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v312y2015icp191-199.html
   My bibliography  Save this article

Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes

Author

Listed:
  • Mo, Yu
  • Momen, Bahram
  • Kearney, Michael S.

Abstract

Coastal ecosystems are under multiple stresses ranging from global climate change to regional hazardous weather and human interventions. Coastal marshes in Louisiana are inherently vulnerable to these threats because they are microtidal and inhabit a narrow portion of the intertidal zone. Phenological dynamics of the marshes offer valuable information on the stressors’ impacts, yet they have rarely been reported or compared. Here, we study the landscape-level phenologies of the marshes under different climatic conditions, using Landsat-derived Normalized Difference Vegetation Index (NDVI) records (30×30m2 spatial resolution) and a nonlinear mixed model that enables a quantitative analysis of nonlinear and piecewise functions involving repeated measures. In 2007 (a normal year), the Gaussian function was the best phenological model for Louisiana coastal marshes (pseudo R2 0.56–0.85), showing that: (1) NDVI of all marshes peaked within one month from late July to mid-August; (2) freshwater marshes had the highest peak NDVI, followed by intermediate, brackish, and saline marshes; and (3) saline marshes had the longest growth duration, followed by brackish, and then intermediate and freshwater marshes. Phenological shifts were found in years featuring extreme weather events: (1) a two-month delay in the peak NDVI day of saline marshes in 1999 (a drought year) compared to 2007; and (2) a shortening in growth duration of all marshes by approximately half in 2005 (a hurricane year). This work presents a methodgology to analyze and predict Louisiana coastal marshes' phenological dynamics in response to current and future stresses.

Suggested Citation

  • Mo, Yu & Momen, Bahram & Kearney, Michael S., 2015. "Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes," Ecological Modelling, Elsevier, vol. 312(C), pages 191-199.
    • Handle: RePEc:eee:ecomod:v:312:y:2015:i:c:p:191-199
    DOI: 10.1016/j.ecolmodel.2015.05.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015002197
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.05.022?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. Matthew L. Kirwan & J. Patrick Megonigal, 2013. "Tidal wetland stability in the face of human impacts and sea-level rise," Nature, Nature, vol. 504(7478), pages 53-60, December.
    2. R. B. Myneni & C. D. Keeling & C. J. Tucker & G. Asrar & R. R. Nemani, 1997. "Increased plant growth in the northern high latitudes from 1981 to 1991," Nature, Nature, vol. 386(6626), pages 698-702, April.
    3. Gian-Reto Walther & Eric Post & Peter Convey & Annette Menzel & Camille Parmesan & Trevor J. C. Beebee & Jean-Marc Fromentin & Ove Hoegh-Guldberg & Franz Bairlein, 2002. "Ecological responses to recent climate change," Nature, Nature, vol. 416(6879), pages 389-395, March.
    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. Zafer Defne & Alfredo L Aretxabaleta & Neil K Ganju & Tarandeep S Kalra & Daniel K Jones & Kathryn E L Smith, 2020. "A geospatially resolved wetland vulnerability index: Synthesis of physical drivers," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-27, January.

    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. Zhang, Jiarui & Jørgensen, Sven E. & Lu, Jianjian & Nielsen, Søren N. & Wang, Qiang, 2014. "A model for the contribution of macrophyte-derived organic carbon in harvested tidal freshwater marshes to surrounding estuarine and oceanic ecosystems and its response to global warming," Ecological Modelling, Elsevier, vol. 294(C), pages 105-116.
    2. Ken Mix & Vicente Lopes & Walter Rast, 2012. "Growing season expansion and related changes in monthly temperature and growing degree days in the Inter-Montane Desert of the San Luis Valley, Colorado," Climatic Change, Springer, vol. 114(3), pages 723-744, October.
    3. Jhon Villarreal-Veloz & Xavier Zapata-Ríos & Karla Uvidia-Zambrano & Carla Borja-Escobar, 2023. "Spatio-Temporal Description of the NDVI (MODIS) of the Ecuadorian Tussock Grasses and Its Link with the Hydrometeorological Variables and Global Climatic Indices," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    4. V. P. Khanduri & C. M. Sharma & S. P. Singh, 2008. "The effects of climate change on plant phenology," Environment Systems and Decisions, Springer, vol. 28(2), pages 143-147, June.
    5. Keshav Paudel & Peter Andersen, 2013. "Response of rangeland vegetation to snow cover dynamics in Nepal Trans Himalaya," Climatic Change, Springer, vol. 117(1), pages 149-162, March.
    6. Xiuchen Wu & Hongyan Liu & Dali Guo & Oleg A Anenkhonov & Natalya K Badmaeva & Denis V Sandanov, 2012. "Growth Decline Linked to Warming-Induced Water Limitation in Hemi-Boreal Forests," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-12, August.
    7. Akhlaq Amin Wani & Amir Farooq Bhat & Aaasif Ali Gatoo & Shiba Zahoor & Basira Mehraj & Naveed Najam & Qaisar Shafi Wani & M A Islam & Shah Murtaza & Moonisa Aslam Dervash & P K Joshi, 2021. "Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(1), pages 1-22, January.
    8. Mayeul Dalleau & Stéphane Ciccione & Jeanne A Mortimer & Julie Garnier & Simon Benhamou & Jérôme Bourjea, 2012. "Nesting Phenology of Marine Turtles: Insights from a Regional Comparative Analysis on Green Turtle (Chelonia mydas)," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-13, October.
    9. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    10. Bu, Lingduo & Chen, Xinping & Li, Shiqing & Liu, Jianliang & Zhu, Lin & Luo, Shasha & Lee Hill, Robert & Zhao, Ying, 2015. "The effect of adapting cultivars on the water use efficiency of dryland maize (Zea mays L.) in northwestern China," Agricultural Water Management, Elsevier, vol. 148(C), pages 1-9.
    11. Anne Goodenough & Adam Hart, 2013. "Correlates of vulnerability to climate-induced distribution changes in European avifauna: habitat, migration and endemism," Climatic Change, Springer, vol. 118(3), pages 659-669, June.
    12. Monika Punia & Suman Nain & Amit Kumar & Bhupendra Singh & Amit Prakash & Krishan Kumar & V. Jain, 2015. "Analysis of temperature variability over north-west part of India for the period 1970–2000," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 935-952, January.
    13. Wesley R. Brooks & Stephen C. Newbold, 2013. "Ecosystem damages in integrated assessment models of climate change," NCEE Working Paper Series 201302, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2013.
    14. Nicoletta Cannone & M. Guglielmin & P. Convey & M. R. Worland & S. E. Favero Longo, 2016. "Vascular plant changes in extreme environments: effects of multiple drivers," Climatic Change, Springer, vol. 134(4), pages 651-665, February.
    15. Ge, Zhen-Ming & Guo, Hai-Qiang & Zhao, Bin & Zhang, Chao & Peltola, Heli & Zhang, Li-Quan, 2016. "Spatiotemporal patterns of the gross primary production in the salt marshes with rapid community change: A coupled modeling approach," Ecological Modelling, Elsevier, vol. 321(C), pages 110-120.
    16. Groeneveld, Jürgen & Johst, Karin & Kawaguchi, So & Meyer, Bettina & Teschke, Mathias & Grimm, Volker, 2015. "How biological clocks and changing environmental conditions determine local population growth and species distribution in Antarctic krill (Euphausia superba): a conceptual model," Ecological Modelling, Elsevier, vol. 303(C), pages 78-86.
    17. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.
    18. Norman Myers, 2003. "Conservation of Biodiversity: How Are We Doing?," Environment Systems and Decisions, Springer, vol. 23(1), pages 9-15, March.
    19. repec:ags:aaea22:335970 is not listed on IDEAS
    20. Donohue, John G. & Piiroinen, Petri T., 2015. "Mathematical modelling of seasonal migration with applications to climate change," Ecological Modelling, Elsevier, vol. 299(C), pages 79-94.
    21. John H Matthews & Bart AJ Wickel & Sarah Freeman, 2011. "Converging Currents in Climate-Relevant Conservation: Water, Infrastructure, and Institutions," PLOS Biology, Public Library of Science, vol. 9(9), pages 1-4, September.

    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:312:y:2015:i:c:p:191-199. 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.