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Catherine Cullinane Thomas

Publications and source records attributed to Catherine Cullinane Thomas.

At least 19 recordsLinked to original sources
USGS2024

A framework for estimating economic impacts of ecological restoration

Ecological restoration projects are designed to improve natural and cultural resources. Spending on restoration also stimulates economic impacts to the restoration economy through the creation or support of jobs and business activity. This paper presents accessible methods for quantifying the economic impacts supported by restoration spending and is written to be a guide and toolbox for an interdisciplinary audience of restoration practitioners and economists. Measuring the economic impacts of restoration can be challenging due to lacking or limited data. The complex, collaborative, and heterogeneous nature of restoration projects can make it difficult to clearly track costs, contributing to limited availability and inconsistency in restoration cost data. And business classification systems, such as the North American Industrial Classification System (NAICS), do not include restoration-sectors that consistently describe the patterns of restoration spending. The aims of this paper are to (1) provide restoration practitioners and program managers with a clear understanding of the application of economic impact analyses to restoration, (2) provide a framework for collecting project cost data for economic impact analyses, and (3) provide modeling best practices and an example application of the framework.

Environmental Management↗
USGS2022

Coupling process-based and empirical models to assess management options to meet conservation goals

Conservation lands face a mounting threat of ecosystem transformation and the loss of biodiversity from the invasion of fire-prone perennial and annual grasses. Managers must make difficult decisions to find efficient ways to expend limited resources to manage large and complex landscapes amidst substantial uncertainty regarding effective treatment strategies, climates, and invader-induced novel processes. We developed a state-and-transition simulation model coupled with a fire behavior model to study impacts to native biodiversity and fire regimes in a national park invaded by a perennial grass. We evaluated resources required to meet management objectives, and how to spatially allocate available resources efficiently and effectively. Management strategies and ecological scenarios strongly influenced the ability to minimize potential impacts; the inclusion of a new management strategy, aerial precision spot spraying targeting low cover levels in remote regions, was needed to supplement current treatments that can only target large, dense patches. Adding this new treatment method may be enough to conserve the desert ecosystem from small scale transformation through invasive competition and from broad functional transformations through invasive-induced fire regime changes. Spot spraying may also be highly beneficial if wetter monsoonal conditions create faster growth rates, decreasing the ability to contain the invasion even with unlimited management resources. Given current annual budgets for control, and the new treatment option, invasion control and preservation of native biodiversity may be possible regardless of spatial prioritization. Coupled empirical and process-based models efficiently simulated the effects of management activities, quantifying potential management costs and ecological impacts, while considering a wide range of possible future uncertainties associated with climate, spread rates, and wildfires lacking historical precedent. These techniques could be applied to other situations to evaluate the feasibility of conservation goals and to determine actions that would be most efficient and effective in meeting those goals.

Arizona↗
USGS2021

Great American Outdoors Act Legacy Restoration Fund for National Parks: Economic impacts of fiscal year 2021 funding

The Great American Outdoors Act of 2020 (GAOA), P.L. 116-152, established the National Parks and Public Land Legacy Restoration Fund (LRF) to address priority deferred maintenance projects on National Park Service (NPS) and other federal lands. For the NPS, the LRF equates to receiving a maximum of $1.33 billion per year for fiscal years 2021 through 2025. Funding of this magnitude provides the NPS with the opportunity to reduce the maintenance backlog, protect critical resources, expand recreational opportunities, and focus on long-term sustainable operations for the next century. Use of these funds on NPS projects will also support jobs and business activity in local economies across the Nation. The purpose of this analysis is to present preliminary estimates of the economic impacts associated with the NPS Fiscal Year 2021 (FY21) projects supported by the LRF.

Report↗
USGS2021

Economic effects assessment approaches: US National Parks approach

This chapter discusses the data and methods used by the US National Park Service to estimate the economic effects of National Park visitor spending to local and regional economies. Topics covered include a summary of economic effects analyses, required data for analysis (visitor count data, trip characteristics and spending patterns, and regional economic multipliers) and how these data are combined to estimate visitor spending and economic effects. The chapter includes an applied example for Yosemite National Park and shows how park-level data can be combined to estimate and showcase state- and national-level visitor spending effects.

Book chapter↗
USGS2021

2020 National Park Visitor Spending Effects Economic Contributions to Local Communities, States,and the Nation

The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports economic activity within park gateway communities. This report summarizes the annual economic contribution analysis that measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income. In 2020, the National Park System received over 237 million recreation visits (down 28% from 2019). Visitors to national parks spent an estimated $14.5 billion in local gateway regions (down 31% from 2019). The estimated contribution of this spending to the national economy was 234,000 jobs, $9.7 billion in labor income, $16.7 billion in value added, and $28.6 billion in economic output. The lodging sector saw the highest direct effects, with $5 billion in economic output directly contributed to this sector nationally. The restaurants sector saw the next greatest effects, with $3 billion in economic output directly contributed to this sector nationally. Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. The interactive tool is available at https://www.nps.gov/subjects/socialscience/vse.htm.

Natural Resource Report↗
USGS2021

Visitors count! Guidance for protected areas on the economic analysis of visitation

The value of protected areas is often hidden from direct view. Once managers understand the number and behaviour of visitors they host, and the revenues and costs they generate, informed decisions on management plans and tourism strategies can be made. Demonstrating the positive impact of protected areas on the local economy can lead to greater buy-in and ownership of conservation practices and places, less poaching and land encroachment, and may also help offset some of the human-wildlife conflict where it occurs. Drawing on case studies from around the world, Visitors Count! aims to build awareness, knowledge and capacity internationally on how to best undertake economic evaluations of tourism in protected areas, and thereby contribute towards a globally acknowledged standard methodology.

Book↗
USGS2020

Assessing ecological uncertainty and simulation model sensitivity to evaluate an invasive plant species’ potential impacts to the landscape

Ecological forecasts of the extent and impacts of invasive species can inform conservation management decisions. Such forecasts are hampered by ecological uncertainties associated with non-analog conditions resulting from the introduction of an invader to an ecosystem. We developed a state-and-transition simulation model tied to a fire behavior model to simulate the spread of buffelgrass ( Cenchrus ciliaris ) in Saguaro National Park, AZ, USA over a 30-year period. The simulation models forecast the potential extent and impact of a buffelgrass invasion including size and frequency of fire events and displacement of saguaro cacti and other native species. Using simulation models allowed us to evaluate how model uncertainties affected forecasted landscape outcomes. We compared scenarios covering a range of parameter uncertainties including model initialization (landscape susceptibility to invasion) and expert-identified ecological uncertainties (buffelgrass patch infill rates and precipitation). Our simulations showed substantial differences in the amount of buffelgrass on the landscape and the size and frequency of fires for dry years with slow patch infill scenarios compared to wet years with fast patch infill scenarios. We identified uncertainty in buffelgrass patch infill rates as a key area for research to improve forecasts. Our approach could be used to investigate novel processes in other invaded systems.

Scientific Reports↗
USGS2020

Economic impacts of Wyoming Landscape Conservation Initiative Conservation projects in Wyoming

Executive Summary This report estimates the economic impacts on the Wyoming economy from investments made by the Wyoming Landscape Conservation Initiative (WLCI) on conservation and restoration projects. The WLCI has been working in southwestern Wyoming since 2007 to coordinate science and management decisions among government and private entities that invest in conservation projects aimed at restoring and enhancing wildlife habitat. These investments support jobs and generate business activities within the Wyoming economy. WLCI conservation and restoration projects occur on both publicly managed and privately owned lands and are supported by leveraging funds from Federal bureaus, Wyoming State and local government agencies, and private contributions. During 2007–2018, the WLCI invested a total of more than $ 69,100,000 (in 2018 dollars) on conservation projects within the State of Wyoming. These pooled funds have been used to purchase conservation easements and hire business contractors to complete restoration projects, with 98 percent of project funds awarded to Wyoming-based businesses. Including both direct and secondary effects, the U.S. Geological Survey estimates that local spending on these conservation and restoration projects during 2007–2018 supported an estimated 1,055 job-years (the number of annualized full- and part-time jobs generated or supported), more than $ 30,500,000 in labor income, almost $ 40,900,000 in value added, and almost $ 68,200,000 in economic output within the Wyoming economy. These results demonstrate how investments in WLCI conservation projects support jobs, livelihoods, small businesses, and rural economies in Wyoming.

Wyoming↗
USGS2020

2019 National park visitor spending effects: Economic contributions to local communities, states, and the nation

The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports economic activity within park gateway communities. This report summarizes the annual economic contribution analysis that measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income. In 2019, the National Park System received over 327.5 million recreation visits. Visitors to national parks spent an estimated \$21 billion in local gateway regions. The contribution of this spending to the national economy was 340,500 jobs, \$14.1 billion in labor income, \$24.3 billion in value added, and \$41.7 billion in economic output. The lodging sector saw the highest direct effects, with \$7.1 billion in economic output directly contributed to this sector nationally. The restaurants sector saw the next greatest effects, with $4.2 billion in economic output directly contributed to this sector nationally. Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. The interactive tool is available at https://www.nps.gov/subjects/socialscience/vse.htm.

Natural Resource Report↗
USGS2019

Economic effects of wildfire risk reduction and source water protection projects in the Rio Grande River Basin in northern New Mexico and southern Colorado

Investments in landscape-scale restoration and fuels management projects can protect publicly managed trusts, enhance public health and safety, and help to preserve the many environmental goods and services enjoyed by the public. These investments can also support jobs and generate business sales activities within nearby local economies. This report investigates how investments made by the Rio Grande Water Fund (RGWF) on wildfire risk reduction and source water protection projects in northern New Mexico and southern Colorado affect local economic activity. To implement these projects, the RGWF spent a total of $ 855,000 in 2018 on contractors located in the Western States regional economy. Including direct and secondary effects, these expenditures supported an estimated 22 jobs, $ 1,089,000 in labor income, $ 1,324,000 in value added, and $ 1,907,000 in economic output in the 17 Western States economy. The majority (73 percent or $ 623,000) of these expenditures were made by hiring local businesses operating within a 13-county region in northern New Mexico and southern Colorado that comprises the RGWF project area. Including direct and secondary effects, local expenditures support an estimate 15 jobs, $ 676,000 in labor income, $ 791,000 in value added, and $ 1,120,000 in economic output within the 13-county RGWF project area. These results demonstrate how investments in wildfire risk reduction and source water protection projects can support jobs and livelihoods, small businesses, and rural economies in the Mountain West.

Colorado, New Mexico↗
USGS2019

Estimating visitor use and economic contributions of National Park visitor spending

This chapter provides an overview of the National Park Service (NPS) methods for estimating visitor spending and calculating economic contributions of visitor spending in terms of jobs supported, wage and labor income, and total economic activity. The Visitor Spending Effects model combines visitor spending patterns and trip characteristic data with visitor use data to estimate total visitor spending. Economic contributions measure the total economic activity within a regional economy stemming from visitor spending, and include the effects of spending by both local visitors who live within gateway regions and non-local visitors who travel to NPS sites from outside of gateway regions. The Social Science Program collaborates with individual parks to develop visitor counting instructions that contain the procedures for measuring, compiling, and recording required visitor use data. Visitor surveys are used to collect the essential visitor spending and trip characteristic data necessary for developing spending profiles to represent distinct visitor spending patterns for each park.

Book chapter↗
USGS2019

Agri-tourism and rural outdoor recreation in the US: A framework for understanding economic and employment dynamics

Agri-tourism and rural outdoor recreation are positioned at an important intersection between agricultural, natural resource, economic development and rural issues. This chapter summarizes some of the important dynamics of these sectors, including the role of land use, regional drivers, motivations for farmers and travelers, and economic impacts. As a means to illustrate several key points, highlights of several case studies, papers and reports about rural outdoor and agricultural tourism are summarized. To conclude, a research agenda for those interested in the role of tourism to rural economies is framed.

Book chapter↗
USGS2019

Developing an expert elicited simulation model to evaluate invasive species and fire management alternatives

Invasive species can alter ecosystem properties and cause state shifts in landscapes. Resource managers charged with maintaining landscapes require tools to understand implications of alternative actions (or inactions) on landscape structure and function. Simulation models can serve as a virtual laboratory to explore these alternatives and their potential impacts on a landscape. To be useful, however, managers need to participate in model development to ensure that model structure can evaluate the response of key resources to plausible actions. Here, we detail development of a state‐and‐transition simulation model (STSM) to evaluate buffelgrass ( Cenchrus ciliaris L. syn Pennisetum ciliare (L.) Link) in Saguaro National Park (SNP), Arizona, USA, through collaboration between managers and researchers. We integrate expert knowledge and research to create and parameterize a stochastic, spatially explicit STSM to evaluate specific management objectives. We also develop a dynamic link between the STSM and a fire behavior model to allow exploration of potential novel processes introduced to the ecosystem by buffelgrass invasion. Our projections show that buffelgrass can be expected to increase on the landscape and that the integration of fire into the model accelerates the projected rate of invasion and increases degradation of resources of management concern. We highlight the benefit of engaging end users in the modeling process so that the model is targeted to evaluate management objectives, in this case retention of saguaro cacti ( Carnegiea gigantea (Engelm.) Britton & Rose) on the landscape. Being able to integrate an external model that can help address the unique characteristics of a problem such as the introduction of fire into the SNP desert ecosystem increases the ability of simulations to address complex ecological and management questions.

Ecosphere↗
USGS2019

Integrating landscape simulation models with economic and decision tools for invasive species control

In managing invasive species, land managers and policy makers need information to help allocate scarce resources as efficiently and effectively as possible. Decisions regarding treatment methods, locations, effort, and timing can be informed by the integration of landscape simulation models with economic tools. State and transition simulation models align with conceptual models of ecosystem change often used by practitioners and have been used to characterize the potential consequences of invasions. Outputs of these simulations are typically summarized to describe landscape changes (e.g., infested area), which may provide sufficient information for mangers to make informed decisions. However, it is sometimes helpful or necessary to go a step further to consider the social and economic values associated with treating (or not treating) invasions. Here, we describe when and how to integrate state and transition simulation models with economic and decision tools to aid in the control of emerging and established populations of invasive species. The paper provides an overview of three types of questions that can be addressed: 1) how big is the problem? 2) which management strategy is most appropriate? and 3) what are key sources of uncertainty? For each question, we describe aspects that can be addressed by landscape simulation models alone, and outstanding questions that can be evaluated by integrating economic and decision tools. Through a series of example applications from the literature, we reinforce how the integration of these tools, and the interdisciplinary perspective such an integration requires, can increase relevance and utility of modeling efforts for resource managers and decision makers.

Management of Biological Invasions↗
USGS2019

Economic Impacts of Restoration in National Parks

The National Park Service’s (NPS) Resource Protection Branch (RPB) works with parks under the authority of the System Unit Resource Protection Act (SURPA) and the Oil Pollution Act, among others, to conduct damage assessment and restoration activities for NPS resources that have been injured. Funds used for restoration support jobs in local economies across the Nation. This report demonstrates the economic impacts associated with RPB-administered restoration projects through an analysis of small-scale (less than $1,000,000 spent per project) and large-scale (more than $1,000,000 spent per project) projects. Using a national-level economic input-output model, direct and secondary jobyears, labor income, value added, and total economic output were estimated for a sample of restoration projects; impacts from these sampled projects were used to estimate average economicimpacts-per-million-dollars-spent on RPB restoration. In 2017 RPB administered 49 small-scale projects; expenditures for these projects ranged in cost from $200 to $800,000 and totaled $1,686,000 ($923,000 in cultural resource projects, $618,000 in natural resource projects, and $145,000 in facilities projects). Based on the economic-impacts-per million estimates, small-scale RPB projects were found to support an estimated total of 29 job-years, $1,963,000 in labor income, $2,690,000 in value added, and $4,458,000 in total economic output within the national economy in 2017. Economic impacts were also calculated for two large-scale projects: one a $3,900,000 (2017$) hillside stabilization project and the other a $5,574,000 (2017$) ferries (two) fabrication project.

Report↗
USGS2019

National Park Service socioeconomic monitoring pilot survey: Visitor spending analysis

The National Park Service (NPS) is in the process of establishing a formal socioeconomic monitoring (SEM) program that will provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The development of the pilot SEM survey provided the opportunity to add to the set of available visitor spending profiles for use in the NPS Visitor Spending Effects analysis and enabled the exploration of improved visitor spending estimation methodologies. Fourteen park units were selected for SEM pilot visitor surveys to represent a variety of park unit types (i.e., National Parks, National Recreation Areas, National Historic Parks, etc.), activities, settings (i.e., urban, rural, seashore, parkway, etc.), and difficulty of survey administration (i.e., highly controlled entrances vs. dispersed access). This report describes the methods developed to estimate visitor spending using the SEM pilot surveys and provides visitor spending profiles for the 14 pilot parks. The experiences gained through the pilot effort provide useful feedback for learning and improving future survey efforts.

Natural Resource Report↗
USGS2017

Visitor spending effects: assessing and showcasing America's investment in national parks

This paper provides an overview of the evolution, future, and global applicability of the U.S. National Park Service's (NPS) visitor spending effects framework and discusses the methods used to effectively communicate the economic return on investment in America's national parks. The 417 parks represent many of America's most iconic destinations: in 2016, they received a record 331 million visits. Competing federal budgetary demands necessitate that, in addition to meeting their mission to preserve unimpaired natural and cultural resources for the enjoyment of the people, parks also assess and showcase their contributions to the economic vitality of their regions and the nation. Key approaches explained include the original Money Generation Model (MGM) from 1990, MGM2 used from 2001, and the visitor spending effects model which replaced MGM2 in 2012. Detailed discussion explains the NPS's visitor use statistics system, the formal program for collecting, compiling, and reporting visitor use data. The NPS is now establishing a formal socioeconomic monitoring (SEM) program to provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The pilot SEM survey is discussed, along with the need for international standardization of research methods.

Journal of Sustainable Tourism↗