Spatio-temporal Analysis of Chilling Events in Mangrove Forests of South Florida

Thapa, Bina

doi:10.25148/etd.fi14040876

Cited by 1 publication

(6 citation statements)

References 34 publications

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“…, Zhu et al. , Thapa ). Cloud‐free Landsat 4–7 images of the study area from 1985 to 2011 were downloaded and used to calculate the vegetation indices and conduct change detection.…”

Section: Datamentioning

confidence: 99%

“…, Zhang , Cavanaugh et al. , Thapa ) that are more evident at the landscape scale, though they may contribute to or interact with global change factors that influence broader distributional trends. Mangrove trees can be killed, broken, and defoliated by the forces of high wind, storm surge, low temperature, or lightning, resulting in severe damage at scales ranging from the 10–20 m gap created by a lightning strike to the 50‐km swath of tree death left in the wake of a hurricane eyewall's passage (Doyle et al.…”

Section: Introductionmentioning

confidence: 99%

“…), while only a few addressed the effects of disturbance (Zhang et al. , Thapa ). Furthermore, none of these studies incorporated seasonal variation, or the effects of disturbances that differ as much in scale as hurricanes and chilling events.…”

Section: Introductionmentioning

confidence: 99%

“…in response to climatic warming. In addition to these gradual changes, mangroves have been altered by episodic disturbances from hurricanes, freezes, or lightning strikes (Lugo and Patterson-Zucca 1977, Smith et al 1994, Sherman et al 2001, Stevens et al 2006, Zhang 2008, Cavanaugh et al 2014, Thapa 2014) that are more evident at the landscape scale, though they may contribute to or interact with global change factors that influence broader distributional trends. Mangrove trees can be killed, broken, and defoliated by the forces of high wind, storm surge, low temperature, or lightning, resulting in severe damage at scales ranging from the 10-20 m gap created by a lightning strike to the 50-km swath of tree death left in the wake of a hurricane eyewall's passage (Doyle et al 1995.…”

mentioning

confidence: 99%

“…More recently, advances in remote sensing technology and increases in the availability of long-term remotely sensed data (Wang and Xu 2010, Negrón-Juárez et al 2014 have made assessment of landscape scale impacts of natural disturbances and seasonal changes more effective. However, most remote sensing studies of mangrove forests have focused on mapping changes in the distributions of species or forest types (Wang et al 2004, Giri et al 2011, Kuenzer et al 2011, while only a few addressed the effects of disturbance , Thapa 2014. Furthermore, none of these studies incorporated seasonal variation, or the effects of disturbances that differ as much in scale as hurricanes and chilling events.…”

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confidence: 99%

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Remote sensing of seasonal changes and disturbances in mangrove forest: a case study from South Florida

et al. 2016

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Knowledge of the spatial and temporal changes caused by episodic disturbances and seasonal variability is essential for understanding the dynamics of mangrove forests at the landscape scale, and for building a baseline that allows detection of the effects of future environmental change. In combination with LiDAR data, we calculated four vegetation indices from 150 Landsat TM images from 1985 to 2011 in order to detect seasonal changes and distinguish them from disturbances due to hurricanes and chilling events in a mangrove‐dominated coastal landscape. We found that normalized difference moisture index (NDMI) performed best in identifying both seasonal and event‐driven episodic changes. Mangrove responses to chilling and hurricane events exhibited distinct spatial patterns. Severe damage from intense chilling events was concentrated in the interior dwarf and transition mangrove forests with tree heights less than 4 m, while severe damage from intense hurricanes was limited to the mangrove forest near the coast, where tree heights were more than 4 m. It took 4–7 months for damage from intense chilling events and hurricanes to reach their full extent, and took 2–6 yr for the mangrove forest to recover from these disturbances. There was no significant trend in the vegetation changes represented by NDMI over the 27‐yr period, but seasonal signals from both dwarf and fringe mangrove forests were discernible. Only severe damage from hurricanes and intense chilling events could be detected in Landsat images, while damage from weak chilling events could not be separated from the background seasonal change.

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“…, Zhu et al. , Thapa ). Cloud‐free Landsat 4–7 images of the study area from 1985 to 2011 were downloaded and used to calculate the vegetation indices and conduct change detection.…”

Section: Datamentioning

confidence: 99%