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That’s why data scientists use programming languages to write software designed to automate the data collection process. This project aimed to find connections between step-selection functions (SSFs) and partial differential equation models of animal movement and, in doing so, improve the flexibility of SSFs. This code release implements three hierarchical Bayesian population trend models for Alaskan breeding landbirds, following the methods of Handel and Sauer (2017) and Amundson et al. (2014). Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. The Ecosystems Mission Area is also the only entity with the specific role of meeting the information needs of DOI agencies (e.g., Bureau of Land Management, Bureau of Ocean Energy Management, National Park… Eileen brings her passion for sustainability, experience in environmental consulting and background in environmental chemistry and engineering research to the projects for Ecosystem Analytics. We are based in Wilmette, IL, but welcome the opportunity to work with you no matter your location, country, or time-zone. The dataset was used in an analysis of altitude selection and flight propensity in an accompanying paper (Weiser et al. 2024) and is being provided here to allow replication of that analysis. This dataset consists of one table with a record (row) for each goose location and columns containing location information and covariates. The dataset was used in the accompanying paper to evaluate how factors affected “success” of each tag package (tracker + attachment to the bird), where “success” was defined as whether the tag… My interests in https://master-your-business.com/what-are-the-best-practices-for-scaling-a-business/ these areas relate to modeling and forecasting change to better inform monitoring activities and management plans. However, my interests lie in adapting existing tools and developing new ones to identify key life history events from movement data and scale inference to inform parameters in population models, such as reproductive success, survival, and cause-specific mortality. Analysis Ecosystems research- I use field data and process-based models to investigate carbon and nutrient dynamics in terrestrial and aquatic systems, and to understand how community composition/biodiversity and physical ecosystem properties interact. Demographic rate estimation and population modeling – Much of my research involves vital rate estimation and modeling to identify demographic and environmental drivers of population growth. I conduct wildlife and ecosystems research with collaborators at the Alaska Science Center, Department of Interior agencies, and other state and local partners. We collaborate with internal and external partners to answer challenging ecological questions that are a high priority of the U.S. See your own program in Unifyr Channel programs generate large volumes of data, but most of it sits in disconnected systems. Ecosystem analytics aggregates data from multiple sources and layers analysis on top to produce actionable insights. Ecosystem analytics is the practice of collecting, integrating, and analyzing data across a vendor’s entire partner ecosystem to identify performance patterns, uncover growth opportunities, and inform strategic decisions. Programming and software – I primarily use R for data analysis, https://cubbyholecoffeehouse.com/organic-coffee/jim-s-organic-coffee.html modeling, visualization, and interfacing with other analytical tools such as JAGS and program MARK. GIS/remote sensing/spatial analysis – The recent proliferation of online datasets has created unprecedented opportunities for ecological and wildlife research at large spatial scales. Unlike single-partner reporting, ecosystem analytics takes a system-wide view, examining how different partner types, programs, and motions interact to produce revenue outcomes. After automated processes have been completed, data analysts use their expertise to glean additional insights. While each of these forms of analysis is unique, they rely on the same processes and tools. Data collection can be completed through manual or automated processes. Unlike single-partner reporting, ecosystem analytics takes a system-wide view, examining how different partner types, programs, and motions interact to produce revenue outcomes. I focus on hard to study species, and I routinely work in both Bayesian and frequentist paradigms. Current projects include a Bayesian hierarchical integrated population model (IPM) to evaluate the effects of phenology mismatch on Arctic-breeding goose populations. The USGS Ecosystems Mission Area is the only program within the Department of Interior (DOI) focused on generating science to inform the management of the nation’s lands, fish, and wildlife. Advancing spring phenology has been observed around the world, including changes in the timing of breeding of birds. This code release contains R and JAGS code for estimating average eelgrass biomass at two lagoons (Izembek and Kinzarof) https://expandsuccess.org/crafting-a-business-plan/ within the Izembek National Wildlife Refuge, Alaska, using data from point count surveys conducted by National Wildlife Refuge and U.S. Code for R Shiny application to facilitate visualizing and subsetting the North Pacific Pelagic Seabird Database (NPPSD) using an interactive leaflet map. The study was designed to evaluate various scenarios (sampling designs, as well as biological parameters that differ between the two study lagoons). The script (habitat_density_model.r) in this code repository filters data, sets up model input, and runs an N-mixture model with two components of detection (availability and perceptibility) to estimate bird density from point-count data. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and… Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Typically, your analysis begins with some form of automation, especially when datasets are exceptionally large. Depending on the specific challenge your data project seeks to address, this analysis can be diagnostic, descriptive, predictive, or prescriptive. Data wrangling is a set of processes designed to transform raw data into a more usable format. Partner Performance Work products improve our understanding of ecosystem function and population dynamics, provide management authorities with critical information to support decision-making, and are often useful to forecast future population status. It’s also possible to design and code an application programming interface, or API, to directly extract specific information from a database or interact with a web application. This simulation and analysis were developed to evaluate the consequences of changing spring phenology for estimating population trend of breeding bird