Hurricane Mitch: a regional perspective on mangrove damage, recovery, and sustainability

Cahoon, Donald R.; Hensel, Philippe

doi:10.3133/ofr03183

Cited by 15 publications

(6 citation statements)

References 13 publications

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“…Hence, the damage was relatively temporary. However, if wind damage is more extensive and/or mangrove components (e.g., roots) are covered by sediment or inundated for long periods in the intertidal, recovery is slower particularly as the latter leads to adverse alterations to nutrients and gas exchange (Baldwin et al, 2001;Cahoon & Hensel, 2002;Smith et al, 1994;Smoak, Breithaupt, Smith, & Sanders, 2013). The recovery of the mangroves may also be limited by changes in substrate chemistry associated with the decomposition of fallen plant material (branches, roots, etc.).…”

Section: Why Is There No Recolonization Of Cleared Areas By Other Mmentioning

confidence: 99%

“…Cyclonic activity can alter forest structure and function and effect biodiversity, nutrient cycling, and sediment dynamics (Baldwin, Egnotovich, Ford, & Platt, 2001;Herbert, Fownes, & Vitousek, 1999). Contributing factors include high winds, fluctuations in sea level (e.g., storm surges), strong waves, and changes in hydrology and sediment distributions through erosion and accretion (Cahoon & Hensel, 2002). The vulnerability of mangroves to loss or damage from storms is influenced by their location and particularly exposure (Baldwin et al, 2001;Platt, Doren, & Armentano, 2000), with those occurring along estuaries and saltwater lagoons or protected by mountain ranges being less exposed to the full force of storms.…”

Section: Introductionmentioning

confidence: 99%

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The extent of mangrove change and potential for recovery following severe Tropical Cyclone Yasi, Hinchinbrook Island, Queensland, Australia

Asbridge

Lucas

Rogers

et al. 2018

Ecology and Evolution

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Cyclones are significant drivers of change within mangrove ecosystems with the extent of initial damage determined by storm severity, location and distribution (exposure), and influenced by species composition and structure (e.g., height). The long‐term recovery of mangroves is often dependent upon hydrological regimes, as well as the frequency of storm events. On February 3, 2011, Tropical Cyclone Yasi (Category 5) made landfall on the coast of north Queensland Australia with its path crossing the extensive mangroves within and surrounding Hinchinbrook Island National Park. Based on a combination of Landsat‐derived foliage projective cover (FPC), Queensland Globe aerial imagery, and RapidEye imagery, 16% of the 13,795 ha of mangroves experienced severe windthrow during the storm. The greatest damage from the cyclone was inflicted on mangrove forests dominated primarily by Rhizophora stylosa, whose large prop roots were unable to support them as wind speeds exceeded 280 km/hr. Classification of 2016 RapidEye data indicated that many areas of damage had experienced no or very limited recovery in the period following the cyclone, with this confirmed by a rapid decline in Landsat‐derived FPC (from levels > 90% from 1986 to just prior to the cyclone to < 20% postcyclone) and no noticeable increase in subsequent years. Advanced Land Observing Satellite (ALOS‐1) Phased Arrayed L‐band Synthetic Aperture Radar (SAR) L‐band HH backscatter also increased initially and rapidly to 5 ± 2 dB (2007–2011) due to the increase in woody debris but then decreased subsequently to −20 ± 2 dB (postcyclone), as this decomposed or was removed. The lack of recovery in affected areas was attributed to the inability of mangrove species, particularly R. stylosa, to resprout from remaining plant material and persistent inundation due to a decrease in sediment elevation thereby preventing propagule establishment. This study indicates that increases in storm intensity predicted with changes in global climate may lead to a reduction in the area, diversity, and abundance of mangroves surrounding Hinchinbrook Island.

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Section: Why Is There No Recolonization Of Cleared Areas By Other Mmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The extent of mangrove change and potential for recovery following severe Tropical Cyclone Yasi, Hinchinbrook Island, Queensland, Australia

Asbridge

Lucas

Rogers

et al. 2018

Ecology and Evolution

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“…The increased area of mangrove forests was partly due to the recovery of mangrove forests after Hurricane Mitch [56]; the slight increase in loss of mangrove forests could be attributed to pressing economic development and changes in international prices of shrimp markets, thereby reflecting in the rate of shrimp-farm construction in the region. Moreover, the number of small-scale shrimp culture farmers with less technical expertise declined due to the spread of shrimp diseases and water pollution, which led to lower shrimp output and reduced ability to compete with industrial counterparts.…”

Section: Mangrove Change Detectionmentioning

confidence: 99%

Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model

et al. 2013

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Abstract:Mangrove forests play an important role in providing ecological and socioeconomic services for human society. Coastal development, which converts mangrove forests to other land uses, has often ignored the services that mangrove may provide, leading to irreversible environmental degradation. Monitoring the spatiotemporal distribution of mangrove forests is thus critical for natural resources management of mangrove ecosystems. This study investigates spatiotemporal changes in Honduran mangrove forests using Landsat imagery during the periods 1985-1996, 1996-2002, and 2002-2013. The future trend of mangrove forest changes was projected by a Markov chain model to support decision-making for coastal management. The remote sensing data were OPEN ACCESS Remote Sens. 2013, 5 6409 processed through three main steps: (1) data pre-processing to correct geometric errors between the Landsat imageries and to perform reflectance normalization; (2) image classification with the unsupervised Otsu's method and change detection; and (3) mangrove change projection using a Markov chain model. Validation of the unsupervised Otsu's method was made by comparing the classification results with the ground reference data in 2002, which yielded satisfactory agreement with an overall accuracy of 91.1% and Kappa coefficient of 0.82. When examining mangrove changes from 1985 to 2013, approximately 11.9% of the mangrove forests were transformed to other land uses, especially shrimp farming, while little effort (3.9%) was applied for mangrove rehabilitation during this 28-year period. Changes in the extent of mangrove forests were further projected until 2020, indicating that the area of mangrove forests could be continuously reduced by 1,200 ha from 2013 (approximately 36,700 ha) to 2020 (approximately 35,500 ha). Institutional interventions should be taken for sustainable management of mangrove ecosystems in this coastal region.

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Section: Introductionmentioning

confidence: 99%

“…Mangrove ecosystems form an ecotone between land and sea. As such, they are recipients of disturbances originating from both land and sea, including those due to climate change (Cahoon and Hensel 2002 ; Dayton et al 2005 ). These disturbances (both natural and human induced) shape the ecosystem but also alter frequency and/or duration of certain processes within the ecosystem (Dale et al 2001 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of experimental sedimentation on the phenological dynamics and leaf traits of replanted mangroves at Gazi bay, Kenya

Okello

Robert

Beeckman

et al. 2014

Ecology and Evolution

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Sedimentation results in the creation of new mudflats for mangroves to colonize among other benefits. However, large sediment input in mangrove areas may be detrimental to these forests. The dynamics of phenological events of three mangrove tree species (Avicennia marina, Ceriops tagal, and Rhizophora mucronata) were evaluated under experimental sediment burial simulating sedimentation levels of 15, 30, and 45 cm.While there was generally no shift in timing of phenological events with sedimentation, the three mangrove tree species each responded differently to the treatments.Partially buried A. marina trees produced more leaves than the controls during the wet season and less during the dry season. Ceriops tagal on the other hand had higher leaf loss and low replacement rates in the partially buried trees during the first 6 months of the experiment but adapted with time, resulting in either equal or higher leaf emergence rates than the controls.Rhizophora mucronata maintained leaf emergence and loss patterns as the unaffected controls but had a higher fecundity and productivity in the 15-cm sedimentation level.The results suggest that under incidences of large sedimentation events (which could be witnessed as a result of climate change impacts coupled with anthropogenic disturbances), mangrove trees may capitalize on “advantages” associated with terrestrial sediment brought into the biotope, thus maintaining the pattern of phenological events.

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Hurricane Mitch: a regional perspective on mangrove damage, recovery, and sustainability

Cited by 15 publications

References 13 publications

The extent of mangrove change and potential for recovery following severe Tropical Cyclone Yasi, Hinchinbrook Island, Queensland, Australia

The extent of mangrove change and potential for recovery following severe Tropical Cyclone Yasi, Hinchinbrook Island, Queensland, Australia

Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model

Effects of experimental sedimentation on the phenological dynamics and leaf traits of replanted mangroves at Gazi bay, Kenya

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