Filters: partyWithName: Julien Martin (X)
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Coastal management decisions are complex and include challenging tradeoffs. Decision science offers a useful framework to address such complex problems. We illustrate the process with several coastal restoration studies. Our capstone example is based on a recent barrier island restoration assessment project at Dauphin Island, Alabama, which included the development of geomorphological and ecological models that forecast environmental changes over a 10 year time period from 2015 to 2025. The proposed framework aims to serve as a tool to assist coastal managers with the process of restoration. Specifically, we discuss the importance of considering concepts and techniques from ecology, coastal geology, geomorphology,...
Categories: Data;
Tags: Adaptive Management,
Aquatic Biology,
Barrier Island,
Climatology,
Dauphin Island, Alabama,
This data release includes the data and computer code that we produced to fit two open-robust design removal models developed to simultaneously model population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class integrated population model (IPM) that used prior information for age-structured vital rates and relative juvenile availability. To evaluate the effectiveness of management programs, we applied both models to a multi-year, removal trapping time-series data set of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida collected from 2016-1018....
Categories: Data;
Tags: Everglades,
Southern Florida,
USGS Science Data Catalog (SDC),
United States,
Wildlife Biology,
The dataset contains estimates (low, estimate, high) of 12 population parameters for the wood turtle (Glyptemys insculpta) from the literature and experts.
Categories: Data;
Tags: Ecology,
New York,
North America,
Pennsylvania,
USGS Science Data Catalog (SDC),
This dataset is from expert elicitation of a panel of 15 experts with knowledge of stony coral tissue loss disease (SCTLD) and its impacts on coral reefs. We gathered this group of 15 participants with diverse expertise who had previously studied SCTLD including at universities and various government agencies as microbiologists, pathologists, disease ecologists, population ecologists, and coral experts. Participants represented marine disease experts in Florida, Hawaii, South Carolina, and the US Virgin Islands. We then used a rapid prototyping approach (Runge and Converse, 2017) to elicit, structure, and evaluate existing knowledge regarding the etiology of SCTLD. Our approach began with eliciting hypotheses about...
Categories: Data;
Tags: Caribbean,
Florida,
USGS Science Data Catalog (SDC),
United States,
Wildlife Disease,
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