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18 results for “Hurricane Irma”
Mangrove Coast Collaborative Project, Post-hurricane Irma mangrove forest structure data, Rookery Bay NERR, February 2022 - March 2023
The dataset describes the structure, composition, and condition of mangrove forests in Rookery Bay National Estuarine Research Reserve (NERR) assessed Feb 2022 - Mar 2023, approximately 5 years post Hurricane Irma (2017) and concurrent with Hurricane Ian (Sep 2022). The dataset includes information on each stem greater than or equal to 1 cm DBH (diameter at breast height) rooted within 69 100 m2 circular plots. Information collected includes site ID, location, species, DBH, status (live or dead), damage associated with the hurricane, presence/absence of regrowth, presence/absence of adventitious roots, whether or not stem is part of a multi-stemmed individual, and the canopy conditions (whether the tree has a canopy or is only sprouting at the base of the tree or trunk). This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Mangrove Coast Collaborative Project, Post-hurricane Irma mangrove forest understory data, Rookery Bay NERR, February 2022 - March 2023
This dataset describes the structure and composition of the mangrove forest understory in Rookery Bay National Estuarine Research Reserve (NERR) assessed Feb 2022 - Mar 2023, approximately 5 years post Hurricane Irma (2017) and concurrent with Hurricane Ian (2022). The dataset includes information on the number of seedlings and saplings of each species as sampled in four 1 m2 quadrats in each 100 m2 structural sampling plot. The dataset also includes counts of the five tallest pneumatophores occurring in each quadrat. The height of pneumatophores was used as a proxy for the average maximum high water level in a plot. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).
Porewater measurements of dissolved nutrients (ammonia, nitrate/nitrite, phosphate) from core monitoring sites in the GCE-LTER domain following hurricane Irma from October 2017 to October 2018.
To access the effect of hurricane Irma on the GCE domain, porewater samples were collected to evaluate porewater nutrient concentrations at four core GCE monitoring sites (7, 8, 9 and 11). A limited number of samples were collected in October 2017 (a month after the storm surge from hurricane Irma hit the east coast of the United States) and then all sites were sampled in Nov 2017 and in Jan, Feb, Apr and Oct 2018. Porewater samples were obtained from approximately 10 cm depth using Rhizon samplers and then analyzed for ammonium, nitrate + nitrite, and phosphate concentrations.
2017 Hurricane Irma Evacuation Survey Data
<p>Following Hurricane Irma in 2017, an online survey was distributed by researchers from the University of California, Berkeley to collect information on the individual choices of those impacted by the storm in Florida. Collected from October to December 2017, the data includes questions regarding risk perceptions, communications, evacuation decisions, potential usage of the sharing economy in disasters, opinions of evacuation management, and demographic information. The survey was distributed with the assistance of local partners (i.e., transportation agencies, emergency management agencies, local city and county governments, CBOs, and news outlets). Partners were allowed to post the survey using electronic communication methods including but not limited to: Facebook, Twitter, Nextdoor, agency websites, news websites, email listservs, and alert subscription services. The survey received 1,263 valid responses, of which 921 were completed. Subsequent papers using this data retained 645 cleaned survey responses for discrete choice modeling, based on the respondents' completion of key choice and demographic questions. The survey was incentivized with the chance to win one of five $200 gift cards. The survey questions are included in a separate PDF document. Please note that Q173-Q197 in the survey questions were not asked to respondents and no data was collected. </p> <p><strong>We request that those who download the data send a courtesy email to the lead author, Dr. Stephen Wong (swong1392@gmail.com). To ensure that any new research makes unique contributions to knowledge and does not duplicate past analyses, users are requested to read and cite publications using this data including:</strong></p> <p>Wong, S., Pel, A., Shaheen, S., Chorus, C. (2020). Fleeing from Hurricane Irma: Empirical Analysis of Evacuation Behavior Using Discrete Choice Theory. <em>Transportation Research Part D: Disasters and Resilience Section</em>. Retrieved from <a href="https://doi.org/10.1016/j.trd.2020.102227">https://www.sciencedirect.com/science/article/pii/S1361920919312866</a>. <strong>Note: The data file can also be accessed via this journal article. </strong></p> <p>Wong, S., Walker, J., & Shaheen, S. (2020). Bridging the Gap between Evacuations and the Sharing Economy. <em>Transportation</em>.<em> </em>Retrieved from <a href="https://link.springer.com/article/10.1007/s11116-020-10101-3">https://link.springer.com/article/10.1007/s11116-020-10101-3</a>.</p> <p>Wong, S.,<strong> </strong>Shaheen, S., & Walker, J. (2018). Understanding Evacuee Behavior: A Case Study of Hurricane Irma. Report. Retrieved from <a href="https://escholarship.org/uc/item/9370z127">https://escholarship.org/uc/item/9370z127</a></p> <p> </p> <p>Additional framing work on evacuations can be found here:</p> <p>Wong, S.<strong> </strong>(2020). Compliance, Congestion, and Social Equity: Tackling Critical Evacuation Challenges through the Sharing Economy, Joint Choice Modeling, and Regret Minimization. University of California, Berkeley. Dissertation. Retrieved from <a href="https://escholarship.org/uc/item/9b51w7h6">https://escholarship.org/uc/item/9b51w7h6</a>.</p>
Chamber measurements of carbon dioxide (CO2) and methane (CH4) in Everglades following Hurricane Irma: 2017 - 2019
On September 9, 2017, highwinds from Hurricane Irma impacted the Florida Everglades. With 24 hours of heavy rain along with strong winds and storm surge, the storm caused higher than normal water levels, wind-induced defoliation, uprooting of plants and soil disturbance in Everglades short-stature freshwater wetlands. The hurricane redistributed short-stature vegetation into dead mats in Everglades National Park. The high post-storm water levels saturated many of these dead mats, slowing decomposition and increasing their persistence on the landscape. In this study, we measure carbon dioxide (CO2) and methane (CH4) fluxes at dead mats and compared them to the ridge and slough of freshwater marsh and to the marl prairie.
Sediment and nutrient deposition and plant-soil phosphorus interactions associated with Hurricane Irma (2017) in mangroves of the Florida Coastal Everglades (FCE LTER), Florida
We quantified how Hurricane Irma influenced soil nutrient pools, vertical accretion, and plant phosphorus (P) uptake after its passage across the Florida Coastal Everglades in September 2017. Mangrove leaf litter data from three years (2008, 2014, 2018) were selected for each site at Shark River estuary to identify species-specific foliar P responses post-Wilma’s impact in 2005 and immediate post-Irma’s impact in 2017. We also monitored porewater SRP concentrations in the Shark River mangrove sites to evaluate the effect of Hurricane Irma on soil chemistry. The data in this data package were used in the following paper: Castañeda-Moya, E., V.H. Rivera-Monroy, R.M. Chambers, X. Zhao, L. Lamb-Wotton, A. Gorsky, E.E. Gaiser, T.G. Troxler, J.S. Kominoski, and M. Hiatt. 2020. Hurricanes fertilize mangrove forests in the Gulf of Mexico (Florida Everglades, USA). PNAS. In Press.
Methane and carbon dioxide flux in a tidal freshwater marsh recovering from three years of experimental seawater additions and following the Hurricane Irma storm surge
Methane (CH4) and carbon dioxide (CO2) flux rates were measured in a tidal freshwater marsh using static flux chambers. The experimental field site, SALTEx (Seawater Addition Long-Term Experiment) is part of the Georgia Coastal Ecosystems (GCE) LTER and is located on the Altamaha River, GA. The marsh was experimentally dosed with brackish water additions for 3 years, from 2014 – 2017. There are three treatments groups (Press, Pulse, and Fresh) and two control groups (with and without siding on the plots), each with six replicates. Press treatment plots received brackish water throughout the year, Pulse plots received brackish water in September and October and fresh water the rest of the year, Fresh plots received fresh river water throughout the year. The two control groups, one with siding on the plots and one without, received no water addition manipulations. All dosing ceased in January 2018, at which point we began to study the recovery of the marsh. In this study, the Hurricane Irma Rapid Grant evaluated additional effects of the Hurricane Irma storm surge that occurred in October 2017. Greenhouse gas measurements were taken seasonally beginning in March 2018 and ending in March 2019.
Quarterly plant monitoring survey -- shoot height and flowering status and calculated biomass of plants in three GCE LTER permanent monitoring plots (7,8,9) and three Altamaha River plant transition sites (SCSA,ZSC1,ZSC2) following hurricane Irma from October 2017 through October 2018.
The biomass of plants surveyed in permanent plots at 3 GCE LTER sampling sites (7,8,9) and 3 Altamaha River plant transition sites (SCSA, ZSC1, ZSC2) following hurricane Irma from October 2017 through October 2018. October data are duplicates of data from the annual fall monitoring data sets but are included here for completeness. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in a separate data set (PLT-IRMA-2002a). Biomass twas estimated based on allometric relationships between biomass and shoot height and flowering status derived for each site, zone, and species in October 2002 and October 2008. Biomass was calculated for dominant species, including Spartina alterniflora, S. cynosuroides, Juncus roemerianus, and Zizaniopsis miliacea, as well as rarer species including Scirpus spp, Panicum spp. And Typha angustifolia. This data set is based on GCE plant monitoring survey data set PLT-GCEM-1711a, and allometric relationships were based on GCE data sets PLT-GCEM-0211b and PLT-GCEM-0812a. NOTE: These relationships were measured in the fall and may not be valid at other seasons.
Quarterly disturbance observations to three GCE LTER permanent monitoring plots (7,8,9) and three Altamaha River plant transition sites (SCSA,ZSC1,ZSC2) following hurricane Irma from October 2017 through October 2018.
To access the effect of hurricane Irma on the GCE domain, yearly monitoring of species and size distribution of plants at three GCE LTER sampling sites (7, 8, 9) and three Altamaha plant transition sites (SCSA, ZSC1, ZSC2) was expanded to quarterly sampling between October 2017 and October 2018. We established permanent vegetation monitoring plots in creekbank and midmarsh at GCE sites 1-10 in 2000. A dedicated Juncus zone was later added at sites 10 and 9. We established creekbank permanent vegetation monitoring plots in three plant transition zones along the Altamaha River in 2012. When we recorded plant sizes, we also noted any disturbance to the plots. Plots were scored as normal (no visible disturbance), disturbed by wrack (wrack present in plots and stems dead or broken), disturbed by snails (>100 Littoraria per square meter and plant biomass low), disturbed by pigs (animal trail through the plot, this mostly happened at site 8 mid-marsh), initial slump (plot at the creekbank sliding into the creek based on movement of pvc poles or formation of a crevasse), and terminal slump (plot had slid far enough down that vegetation had drowned). Plots that experienced terminal slump or could not be found for any reason were scored as lost. Lost plots were replaced with a new plot in the same general area with the plot code incremented by 10. For example if plot 3 was lost, it was replaced by 13, and then in turn by 23. October data are duplicates of data from the annual fall monitoring data sets but are included here for completeness.
Soil phosphorus, litterfall mass, nitrogen and phosphorus in eight Puerto Rico forests affected by hurricanes Hugo, Bertha, Georges, Irma, and Maria.
Tropical cyclones are intensifying and occurring at higher latitudes in recent decades, but the mechanisms underpinning the resistance (ability to withstand disturbance-induced change) and resilience (pace of return to pre-disturbance reference values) of tropical forests to cyclones remains largely unexplored at the pantropical scale. We conducted a meta-analysis to investigate the role of soil resource availability (i.e., total soil phosphorus concentration) in mediating site-level forest canopy resistance and resilience to cyclones pan-tropically. We evaluated cyclone-induced and post-cyclone litterfall mass (g/m2/day), phosphorus (P) and nitrogen (N) fluxes (mg/m2/day), as well as concentrations (mg/g) across 73 case studies in Australia, Guadeloupe, Hawaii, Mexico, Puerto Rico, and Taiwan (Bomfim et al., in review). This dataset includes information related to 42 case studies in eight Puerto Rico forests affected by hurricanes Hugo, Bertha, Georges, Irma, and Maria between 1989 and 2017. This dataset also includes data for the canopy trimming experiment (CTE) in El Verde. - The compiled Litterfall Mass and Nitrogen and Phosphorus Flux and Concentration data from natural forest ecosystems across Puerto Rico prior to and after eight hurricanes are provided in Forest-Soil-Litterfall-Hurricane_Puerto-Rico.csv. This data file also includes site location, geographical characteristics, elevation, soil phosphorus concentration, geology, and several variables related to each hurricane disturbance. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Hernando County Mosquito Control District entomological monitoring Hurricane Irma
<p>Mosquito surveillance from the Hernando County Mosquito Control District Vector Surveillance program to survey mosquito populations in the immediate aftermath of Hurricane Irma, 2017.</p>
Model output for a storyline analysis of hurricane Irma's precipitation under various levels of climate warming
<p>Understanding how extreme weather, such as tropical cyclones, will change with future climate warming is an interesting computational challenge. Here, the hindcast approach is used to create different storylines of a particular tropical cyclone, Hurricane Irma (2017). Using the Community Atmosphere Model, we explore how Irma's precipitation would change under various levels of climate warming. Analysis is focused on a 48-hour period where the simulated hurricane tracks reasonably represent Irma's observed track. Under future scenarios of 2 K, 3 K, and 4 K global average surface temperature increase above pre-industrial levels, the mean 3-hourly rainfall rates in the simulated storms increase by 3-7%/K compared to present. This change increases in magnitude for the 95th and 99th percentile 3-hourly rates, which intensify by 10-13%/K and 17-21%/K, respectively. Over Florida, the simulated mean rainfall accumulations increase by 16-26%/K, with local maxima increasing by 18-43%/K. All percent changes increase monotonically with warming level.</p>
Data from: How Hurricanes Irma and Maria affected population dynamics and nutrient content of <em>Aedes aegypti</em> in San Juan, PR, USA: socioeconomic and temporal factors
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Model output for a storyline analysis of hurricane Irma's precipitation under various levels of climate warming
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Data from: The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean
In September 2017, Irma became the first recorded category 5 hurricane to hit the Caribbean Windward Islands. The second category 5, Maria, followed two weeks later. In November 2017, we assessed the structural impact of this disturbance on highly valued Caribbean forest ecosystems. We recorded the status of 935 tree stems on Saba and St. Eustatius in stands at different elevations. Tree damage was substantial on both islands, with 93% of stems being defoliated, 84% having lost primary and/or secondary branches and 36% having structural stem damage. Average tree mortality was 18%, with mortality being nearly twice as high on St. Eustatius than on Saba. Surprisingly, we found that neither individual stem size nor community size distributions mediated the forests' response to the hurricanes. Our results show that these hurricanes comprised a density-independent disturbance, which may become more common as the frequency of strong hurricanes is projected to increase.
Deer movement and resource selection during Hurricane Irma: implications for extreme climatic events and wildlife
<p>Extreme climatic events (ECEs) are increasing in frequency and intensity and this necessitates understanding their influence on organisms. Animal behavior may mitigate the effects of ECEs, but field studies are rare because ECEs are infrequent and unpredictable. Hurricane Irma made landfall in southwestern Florida where we were monitoring white-tailed deer (<i>Odocoileus virginianus seminolus</i>) with GPS collars. We report on an opportunistic case study of behavioral responses exhibited by a large mammal during an ECE, mitigation strategies for reducing the severity of the ECE effects, and the demographic effect of the ECE based on known-fate of individual animals. Deer altered resource selection by selecting higher elevation pine and hardwood forests and avoiding marshes. Most deer left their home ranges during Hurricane Irma, and the probability of leaving was inversely related to home range area. Movement rates increased the day of the storm, and no mortality was attributed to Hurricane Irma. We suggest deer mobility and refuge habitat allowed deer to behaviorally mitigate the negative effects of the storm, and ultimately, aid in survival. Our work contributes to the small but growing body of literature linking behavioral responses exhibited during ECEs to survival, which cumulatively will provide insight for predictions of a species resilience to ECEs and improve our understanding of how behavioral traits offset the negative impacts of global climate change.</p>
Data from: The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean
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Deer movement and resource selection during Hurricane Irma: implications for extreme climatic events and wildlife
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