Global Change Center

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10 Ways to Make an Accessible Collaborative Environment for People with Disabilities
Mortazavigazar, Amir (Virginia Tech Global Change Center, 2022-10-07)
9th Hellbender Symposium
(Virginia Tech. Global Change Center, 2019-06)
The Hellbender Symposium is a biennial event where hellbender researchers from all over the United States and other parts of the world meet to present and discuss their research.
A Tale of Two States: Comparing Implementation of NEPA in Virginia and California
Mortazavigazar, Amir (Virginia Tech Global Change Center, 2023-03-20)
Aligning evidence generation and use across health, development, and environment
Tallis, Heather; Kreis, Katharine; Olander, Lydia P.; Ringler, Claudia; Ameyaw, David; Borsuk, Mark E.; Fletschner, Diana; Game, Edward; Gilligan, Daniel O.; Jeuland, Marc; Kennedy, Gina; Masuda, Yuta J.; Mehta, Sumi; Miller, Nicholas; Parker, Megan; Pollino, Carmel; Rajaratnam, Julie; Wilkie, David; Zhang, Wei; Ahmed, Selena; Ajayi, Oluyede C.; Alderman, Harold; Arhonditsis, George; Azevedo, Ines; Badola, Ruchi; Bailis, Rob; Balvanera, Patricia; Barbour, Emily; Bardini, Mark; Barton, David N.; Baumgartner, Jill; Benton, Tim G.; Bobrow, Emily; Bossio, Deborah; Bostrom, Ann; Braimoh, Ademola; Brondizio, Eduardo; Brown, Joe; Bryant, Benjamin P.; Calder, Ryan S. D.; Chaplin-Kramer, Becky; Cullen, Alison; DeMello, Nicole; Dickinson, Katherine L.; Ebi, Kristie L.; Eves, Heather E.; Fanzo, Jessica; Ferraro, Paul J.; Fisher, Brendan; Frongillo, Edward A.; Galford, Gillian; Garrity, Dennis; Gatere, Lydiah; Grieshop, Andrew P.; Grigg, Nicola J.; Groves, Craig; Gugerty, Mary Kay; Hamm, Michael; Hou, Xiaoyue; Huang, Cindy; Imhoff, Marc; Jack, Darby; Jones, Andrew D.; Kelsey, Rodd; Kothari, Monica; Kumar, Ritesh; Lachat, Carl; Larsen, Ashley E.; Lawrence, Mark; DeClerck, Fabrice; Levin, Phillip S.; Mabaya, Edward; Gibson, Jacqueline MacDonald; McDonald, Robert; Mace, Georgina; Maertens, Ricardo; Mangale, Dorothy; Martino, Robin; Mason, Sara A.; Mehta, Lyla; Meinzen-Dick, Ruth; Merz, Barbara; Msangi, Siwa; Murray, Grant; Murray, Kris A.; Naude, Celeste E.; Newlands, Nathaniel K.; Nkonya, Ephraim; Peterman, Amber; Petruney, Tricia; Possingham, Hugh; Puri, Jyotsna; Remans, Roseline; Remlinger, Lisa; Ricketts, Taylor H.; Reta, Bedilu; Robinson, Brian E.; Roe, Dilys; Rosenthal, Joshua; Shen, Guofeng; Shindell, Drew; Stewart-Koster, Ben; Sunderland, Terry; Sutherland, William J.; Tewksbury, Joshua; Wasser, Heather; Wear, Stephanie; Webb, Chris; Whittington, Dale; Wilkerson, Marit; Wittmer, Heidi; Wood, Benjamin DK K.; Wood, Stephen; Wu, Joyce; Yadama, Gautam; Zobrist, Stephanie (Elsevier, 2019-08-01)
Although health, development, and environment challenges are interconnected, evidence remains fractured across sectors due to methodological and conceptual differences in research and practice. Aligned methods are needed to support Sustainable Development Goal advances and similar agendas. The Bridge Collaborative, an emergent research-practice collaboration, presents principles and recommendations that help harmonize methods for evidence generation and use. Recommendations were generated in the context of designing and evaluating evidence of impact for interventions related to five global challenges (stabilizing the global climate, making food production sustainable, decreasing air pollution and respiratory disease, improving sanitation and water security, and solving hunger and malnutrition) and serve as a starting point for further iteration and testing in a broader set of contexts and disciplines. We adopted six principles and emphasize three methodological recommendations: (1) creation of compatible results chains, (2) consideration of all relevant types of evidence, and (3) evaluation of strength of evidence using a unified rubric. We provide detailed suggestions for how these recommendations can be applied in practice, streamlining efforts to apply multi-objective approaches and/or synthesize evidence in multidisciplinary or transdisciplinary teams. These recommendations advance the necessary process of reconciling existing evidence standards in health, development, and environment, and initiate a common basis for integrated evidence generation and use in research, practice, and policy design.
Analysis of environmental and economic impacts of hydropower imports for New York City through 2050
Calder, Ryan S. D.; Borsuk, Mark E.; Robinson, Celine (Duke University Nicholas Institute for Environmental Policy Solutions, 2020-10-13)
Indian Point Energy Center (IPEC), a nuclear generating facility that has provided roughly 15 TW·h per year of low-emissions power to the New York City area, will close by 2021. There has been debate over the potential responses to the closure of IPEC which include the development of new generation and transmission infrastructure. This derives in part from difficulties in comparing direct and indirect costs and benefits and environmental and social impacts, which vary substantially across energy alternatives. In particular, the potential role of increased imports of hydropower from Canada to the New York City area has been controversial because of large upfront capital costs and uncertain benefits relative to alternatives such as increased build-out of Downstate New York offshore wind and solar.
Assessing Ecosystem State Space Models: Identifiability and Estimation
Smith, John W.; Johnson, Leah R.; Thomas, R. Quinn (Springer, 2023-03)
Hierarchical probability models are being used more often than non-hierarchical deterministic process models in environmental prediction and forecasting, and Bayesian approaches to fitting such models are becoming increasingly popular. In particular, models describing ecosystem dynamics with multiple states that are autoregressive at each step in time can be treated as statistical state space models (SSMs). In this paper, we examine this subset of ecosystem models, embed a process-based ecosystem model into an SSM, and give closed form Gibbs sampling updates for latent states and process precision parameters when process and observation errors are normally distributed. Here, we use simulated data from an example model (DALECev) and study the effects changing the temporal resolution of observations on the states (observation data gaps), the temporal resolution of the state process (model time step), and the level of aggregation of observations on fluxes (measurements of transfer rates on the state process). We show that parameter estimates become unreliable as temporal gaps between observed state data increase. To improve parameter estimates, we introduce a method of tuning the time resolution of the latent states while still using higher-frequency driver information and show that this helps to improve estimates. Further, we show that data cloning is a suitable method for assessing parameter identifiability in this class of models. Overall, our study helps inform the application of state space models to ecological forecasting applications where (1) data are not available for all states and transfers at the operational time step for the ecosystem model and (2) process uncertainty estimation is desired.
Bankfull shear velocity predicts embeddedness and silt cover in gravel streambeds
Czuba, Jonathan A.; Hirschler, Mallory; Pratt, Elizabeth A.; Villamagna, Amy; Angermeier, Paul L. (Wiley, 2022-01)
Excess fine sediment (<2 mm) deposition on gravel streambeds can degrade habitat quality for stream biota. Two measures of fine sediment deposition include embeddedness and silt cover (<62.5 mu m). Embeddedness measures fine sediment in interstitial pore spaces, whereas silt cover, primarily deposited during low flows, measures fine sediment draped on the streambed's surface. Here, we demonstrate that a baseline level of embeddedness and a maximum value of silt cover can be predicted from bankfull shear velocity, which can be estimated from river channel and streamflow characteristics, independently of knowing the sediment supply. We derive an equation for bankfull shear velocity that only requires knowing bankfull flow, channel width, and channel slope, which can be readily obtained in the United States from freely available, remotely sensed data. We apply this methodology to data collected at 30 sites in the Piedmont region of Virginia and North Carolina. This work is an important step in developing statistical models of stream ecosystems in which geophysical variables can predict embeddedness and silt cover, which commonly limit biotic assemblages.
Chasing Water in a Rapidly Changing World
Richter, Brian D. (Virginia Tech. University Libraries, 2017-04-07)
Water shortages are now affecting half the world’s population, disrupting food and energy security as well as urban water supplies in many cities. The overuse of water and associated drying of rivers, lakes, and aquifers has become a leading cause of freshwater species imperilment. Climate change forecasts foretell even greater challenges in many water-scarce regions. These threats to our water future can be ameliorated, but it will require bold and concerted action on the part of governments, city leaders, and farmers. This presentation will highlight the key solutions that must be implemented. “Brian Richter has been a global leader in water science and conservation for more than 25 years. He is the Chief Scientist for the Global Water Program of The Nature Conservancy, an international conservation organization, where he promotes sustainable water use and management with governments, corporations, and local communities. He is also the President of Sustainable Waters, a global water education organization. Brian has consulted on more than 120 water projects worldwide. He serves as a water advisor to some of the world’s largest corporations, investment banks, and the United Nations, and has testified before the U.S. Congress on multiple occasions. He also teaches a course on Water Sustainability at the University of Virginia. Brian has developed numerous scientific tools and methods to support river protection and restoration efforts, including the Indicators of Hydrologic Alteration software that is being used by water managers and scientists worldwide. Brian was featured in a BBC documentary with David Attenborough on “How Many People Can Live on Planet Earth?” He has published many scientific papers on the importance of ecologically sustainable water management in international science journals, and co-authored a book with Sandra Postel entitled Rivers for Life: Managing Water for People and Nature (Island Press, 2003). His new book, Chasing Water: A Guide for Moving from Scarcity to Sustainability, was published by Island Press in June 2014.” - National Geographic, http://voices.nationalgeographic.com/author/brichter/
Climate change and infectious disease: a review of evidence and research trends
Van de Vuurst, Paige; Escobar, Luis E. (2023-05-16)
Background Climate change presents an imminent threat to almost all biological systems across the globe. In recent years there have been a series of studies showing how changes in climate can impact infectious disease transmission. Many of these publications focus on simulations based on in silico data, shadowing empirical research based on field and laboratory data. A synthesis work of empirical climate change and infectious disease research is still lacking. Methods We conducted a systemic review of research from 2015 to 2020 period on climate change and infectious diseases to identify major trends and current gaps of research. Literature was sourced from Web of Science and PubMed literary repositories using a key word search, and was reviewed using a delineated inclusion criteria by a team of reviewers. Results Our review revealed that both taxonomic and geographic biases are present in climate and infectious disease research, specifically with regard to types of disease transmission and localities studied. Empirical investigations on vector-borne diseases associated with mosquitoes comprised the majority of research on the climate change and infectious disease literature. Furthermore, demographic trends in the institutions and individuals published revealed research bias towards research conducted across temperate, high-income countries. We also identified key trends in funding sources for most resent literature and a discrepancy in the gender identities of publishing authors which may reflect current systemic inequities in the scientific field. Conclusions Future research lines on climate change and infectious diseases should considered diseases of direct transmission (non-vector-borne) and more research effort in the tropics. Inclusion of local research in low- and middle-income countries was generally neglected. Research on climate change and infectious disease has failed to be socially inclusive, geographically balanced, and broad in terms of the disease systems studied, limiting our capacities to better understand the actual effects of climate change on health.
Climate change linked to vampire bat expansion and rabies virus spillover
Van de Vuurst, Paige; Qiao, Huijie; Soler-Tovar, Diego; Escobar, Luis E. (Wiley, 2023-10)
Bat-borne pathogens are a threat to global health and in recent history have had major impacts on human morbidity and mortality. Examples include diseases such as rabies, Nipah virus encephalitis, and severe acute respiratory syndrome (SARS). Climate change may exacerbate the emergence of bat-borne pathogens by affecting the ecology of bats in tropical ecosystems. Here, we report the impacts of climate change on the distributional ecology of the common vampire bat Desmodus rotundus across the last century. Our retrospective analysis revealed a positive relationship between changes in climate and the northern expansion of the distribution of D. rotundus in North America. Furthermore, we also found a reduction in the standard deviation of temperatures at D. rotundus capture locations during the last century, expressed as more consistent, less-seasonal climate in recent years. These results elucidate an association between D. rotundus range expansion and a continental-level rise in rabies virus spillover transmission from D. rotundus to cattle in the last 50 years of the 120-year study period. This correlative study, based on field observations, offers empirical evidence supporting previous statistical and mathematical simulation-based studies reporting a likely increase of bat-borne diseases in response to climate change. We conclude that the D. rotundus rabies system exemplifies the consequences of climate change augmentation at the wildlife–livestock–human interface, demonstrating how global change acts upon these complex and interconnected systems to drive increased disease emergence.
Coupled Human-Natural Modeling for Hydroelectric Development: Understanding the Health Impacts of America’s Renewable Energy Imports
Calder, Ryan S. D. (Duke University, 2019)
Hydropower accounts for 71% of renewable electrical generation worldwide, and installed capacity may more than double by 2050. Major hydroelectric projects involve construction of reservoirs to buffer the periodicity of river discharge, meaning hydropower typically does not suffer from supply intermittency of other renewables such as wind and solar. Meanwhile, average greenhouse gas emissions are likely substantially lower than fossil fuel alternatives per unit energy produced. Domestic hydropower production in the United States is unlikely to increase substantially in the foreseeable future, but imports from Canada play an increasingly important role in achieving renewable energy targets in northern U.S. markets....
COVID-19 Reveals Vulnerabilities of the Food–Energy–Water Nexus to Viral Pandemics
Calder, Ryan S. D.; Grady, Caitlin; Jeuland, Marc; Kirchhoff, Christine J.; Hale, Rebecca L.; Muenich, Rebecca L. (American Chemical Society, 2021)
Food, energy, and water (FEW) sectors are inextricably linked, making one sector vulnerable to disruptions in another. Interactions between FEW systems, viral pandemics, and human health have not been widely studied. We mined scientific and news/media articles for causal relations among FEW and COVID-19 variables and qualitatively characterized system dynamics. Food systems promoted the emergence and spread of COVID-19, leading to illness and death. Major supply-side breakdowns were avoided (likely due to low morbidity/mortality among working-age people). However, COVID-19 and physical distancing disrupted labor and capital inputs and stressed supply chains, while creating economic insecurity among the already vulnerable poor. This led to demand-side FEW insecurities, in turn increasing susceptibility to COVID-19 among people with many comorbidities. COVID-19 revealed trade-offs such as allocation of water to hygiene versus to food production and disease burden avoided by physical distancing versus disease burden from increased FEW insecurities. News/media articles suggest great public interest in FEW insecurities triggered by COVID-19 interventions among individuals with low COVID-19 case-fatality rates. There is virtually no quantitative analysis of any of these trade-offs or feedbacks. Enhanced quantitative FEW and health models are urgently needed as future pandemics are likely and may have greater morbidity and mortality than COVID-19.
A database of common vampire bat reports
van de Vuurst, Paige; Diaz, M. Monica; Rodriguez-San Pedro, Annia; Allendes, Juan Luis; Brown, Natalie; Gutierrez, Juan David; Zarza, Heliot; de Oliveira, Stefan V.; Cardenas-Canales, Elsa; Barquez, Ruben M.; Escobar, Luis E. (Nature Portfolio, 2022-02-16)
The common vampire bat (Desmodus rotundus) is a sanguivorous (i.e., blood-eating) bat species distributed in the Americas from northern Mexico southwards to central Chile and Argentina. Desmodus rotundus is one of only three mammal species known to feed exclusively on blood, mainly from domestic mammals, although large wildlife and occasionally humans can also serve as a food source. Blood feeding makes D. rotundus an effective transmissor of pathogens to its prey. Consequently, this species is a common target of culling efforts by various individuals and organizations. Nevertheless, little is known about the historical distribution of D. rotundus. Detailed occurrence data are critical for the accurate assessment of past and current distributions of D. rotundus as part of ecological, biogeographical, and epidemiological research. This article presents a dataset of D. rotundus historical occurrence reports, including >39,000 locality reports across the Americas to facilitate the development of spatiotemporal studies of the species. Data are available at https://doi.org/10.6084/ m9.figshare.15025296.
A database of global coastal conditions
Castaneda-Guzman, Mariana; Mantilla-Saltos, Gabriel; Murray, Kris A.; Settlage, Robert; Escobar, Luis E. (2021-11-26)
Remote sensing satellite imagery has the potential to monitor and understand dynamic environmental phenomena by retrieving information about Earth's surface. Marine ecosystems, however, have been studied with less intensity than terrestrial ecosystems due, in part, to data limitations. Data on sea surface temperature (SST) and Chlorophyll-a (Chlo-a) can provide quantitative information of environmental conditions in coastal regions at a high spatial and temporal resolutions. Using the exclusive economic zone of coastal regions as the study area, we compiled monthly and annual statistics of SST and Chlo-a globally for 2003 to 2020. This ready-to-use dataset aims to reduce the computational time and costs for local-, regional-, continental-, and global-level studies of coastal areas. Data may be of interest to researchers in the areas of ecology, oceanography, biogeography, fisheries, and global change. Target applications of the database include environmental monitoring of biodiversity and marine microorganisms, and environmental anomalies.
The Distribution, Seasonal Abundance, and Environmental Factors Contributing to the Presence of the Asian Longhorned Tick (Haemaphysalis longicornis, Acari: Ixodidae) in Central Appalachian Virginia
Cumbie, Alexandra N.; Whitlow, Amanda M.; Arneson, Alicia; Du, Zhiyuan; Eastwood, Gillian (Oxford University Press, 2022-05-30)
Over the past decade, Haemaphysalis longicornis, the Asian longhorned tick, has undergone a geographic range expansion in the United States, from its historical range in east Asia. This tick has been characterized by its frequent parasitism of livestock, an ability to reproduce through parthenogenesis, and its ability to transmit a variety of vector-borne pathogens to livestock, wildlife, and human hosts in its native geographic range. Thus far in the United States, 17 states have reported H. longicornis populations, including 38 counties in Virginia. These numbers come from presence-absence reports provided to the U.S. Department of Agriculture, but little has been reported about this ticks' seasonality in Virginia or its habitat preferences. Our current study detected H. longicornis populations in seven of the nine surveyed counties in Virginia. Haemaphysalis longicornis were observed in multiple habitat types including mixed hardwood forests and pastures, with abundant H. longicornis populations detected at one particular pasture site in Wythe County. This study also attempted to investigate environmental conditions that may be of importance in predicting tick presence likelihood. While sample size limited the scope of these efforts, habitat type and climatic metrics were found to be important indicators of H. longicornis collection success and abundance for both the nymphal and larval life stages. This current study reports useful surveillance data for monitoring these tick populations as they become established in the western half of Virginia and provides insight into their current distribution and maintenance over a large study region.
Drugs and Biodiversity Loss: Narcotraffic-Linked Landscape Change in Guatemala
Winter, Steven N.; Eastwood, Gillian; Barrios-Izás, Manuel A. (IntechOpen, 2022-10-13)
Characteristic of the Anthropocene, human impacts have resulted in worldwide losses in forested land cover, which can directly and indirectly drive biodiversity loss. The global illicit drug trade is one source of deforestation directly implicated with habitat loss in Central America, typically for drug trafficking and livestock production for money laundering. Given reports of deforestation in Central America linked to narcotraffic, we explored vegetation changes within Guatemala’s highly biodiverse Maya Biosphere Reserve by examining trends suggestive of deforestation in a protected area. As such, we collected satellite-derived data in the form of enhanced vegetation index (EVI), as well as history of burned areas, published human-“footprint” data, official population density, and artificial light activity in Laguna del Tigre National Park from 2002 to 2020 for descriptive analysis. We found consistent reductions in EVI and trends of anomalous losses of vegetation despite a baseline accounting for variation within the park. Analyses revealed weak correlations (R2 ≤ 0.26) between EVI losses and official sources of anthropogenic data, which may be attributable to the data’s limited spatial and temporal resolution. Alarmingly, simple analyses identified vegetation losses within a protected area, thus emphasizing the need for additional monitoring and science-based, but interdisciplinary policies to protect this biodiversity hotspot.
Editorial: Disease Ecology and Biogeography
Escobar, Luis E.; Morand, Serge (Frontiers, 2021-10-29)
Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction
Holcomb, Karen M.; Mathis, Sarabeth; Staples, J. Erin; Fischer, Marc; Barker, Christopher M.; Beard, Charles B.; Nett, Randall J.; Keyel, Alexander C.; Marcantonio, Matteo; Childs, Marissa L.; Gorris, Morgan E.; Rochlin, Ilia; Hamins-Puértolas, Marco; Ray, Evan L.; Uelmen, Johnny A.; DeFelice, Nicholas; Freedman, Andrew S.; Hollingsworth, Brandon D.; Das, Praachi; Osthus, Dave; Humphreys, John M.; Nova, Nicole; Mordecai, Erin A.; Cohnstaedt, Lee W.; Kirk, Devin; Kramer, Laura D.; Harris, Mallory J.; Kain, Morgan P.; Reed, Emily M. X.; Johansson, Michael A. (2023-01-12)
Background West Nile virus (WNV) is the leading cause of mosquito-borne illness in the continental USA. WNV occurrence has high spatiotemporal variation, and current approaches to targeted control of the virus are limited, making forecasting a public health priority. However, little research has been done to compare strengths and weaknesses of WNV disease forecasting approaches on the national scale. We used forecasts submitted to the 2020 WNV Forecasting Challenge, an open challenge organized by the Centers for Disease Control and Prevention, to assess the status of WNV neuroinvasive disease (WNND) prediction and identify avenues for improvement. Methods We performed a multi-model comparative assessment of probabilistic forecasts submitted by 15 teams for annual WNND cases in US counties for 2020 and assessed forecast accuracy, calibration, and discriminatory power. In the evaluation, we included forecasts produced by comparison models of varying complexity as benchmarks of forecast performance. We also used regression analysis to identify modeling approaches and contextual factors that were associated with forecast skill. Results Simple models based on historical WNND cases generally scored better than more complex models and combined higher discriminatory power with better calibration of uncertainty. Forecast skill improved across updated forecast submissions submitted during the 2020 season. Among models using additional data, inclusion of climate or human demographic data was associated with higher skill, while inclusion of mosquito or land use data was associated with lower skill. We also identified population size, extreme minimum winter temperature, and interannual variation in WNND cases as county-level characteristics associated with variation in forecast skill. Conclusions Historical WNND cases were strong predictors of future cases with minimal increase in skill achieved by models that included other factors. Although opportunities might exist to specifically improve predictions for areas with large populations and low or high winter temperatures, areas with high case-count variability are intrinsically more difficult to predict. Also, the prediction of outbreaks, which are outliers relative to typical case numbers, remains difficult. Further improvements to prediction could be obtained with improved calibration of forecast uncertainty and access to real-time data streams (e.g. current weather and preliminary human cases).
First Evidence of Powassan Virus (Flaviviridae) in Ixodes scapularis in Appalachian Virginia, USA
Cumbie, Alexandra N.; Whitlow, Amanda M.; Eastwood, Gillian (American Society of Tropical Medicine and Hygiene, 2022-03-01)
Here we report the first detection and confirmation of Powassan virus (POWV) (family: Flaviridae) in Ixodes scapularis ticks collected from Appalachian Virginia. Ixodes scapularis ticks were collected from vegetation across field sites in eight counties of western Virginia from June 2019 to April 2021. From these collections, one nymph and one adult male I. scapularis were determined to be positive for POWV using real-time RT-PCR and Sanger sequencing. Both positive ticks were collected from Floyd county, VA, at residential sites; the nymph in June 2020 and the adult male in April 2021. The presence of POWV in Virginia in its natural tick vector is crucial knowledge in beginning to understand the movement and transmission of this pathogen into new geographical areas and the risk it poses to medical and veterinary health.
Forecasting ecosystem services to guide coastal wetland rehabilitation decisions
Calder, Ryan S. D.; Shi, Congjie; Mason, Sara A.; Olander, Lydia P.; Borsuk, Mark E. (Elsevier, 2019-10-01)
Coastal wetlands provide diverse ecosystem services such as flood protection and recreational value. However, predicting changes in ecosystem service value fr0k from restoration or management is challenging because environmental systems are highly complex and uncertain. Furthermore, benefits are diverse and accrue over various timescales. We developed a generalizable mathematical coastal management model to compare restoration expenditures to ecosystem service benefits and apply it to McInnis Marsh, Marin County, California, USA. We find that benefits of restoration outweigh costs for a wide range of assumptions. For instance, costs of restoration range from 8–30% of the increase in ecosystem service value over 50 years depending on discount rate. Flood protection is the dominant monetized service for most payback periods and discount rates, but other services (e.g., recreation) dominate on shorter timescales (>50% of total value for payback periods ≤4 years). We find that the range of total ecosystem service value is narrower than overall variability reported in the literature, supporting the use of mechanistic methods in decision-making around coastal resiliency. However, the magnitude and relative importance of ecosystem services are sensitive to payback period, discount rate and risk tolerance, demonstrating the importance of probabilistic decision analysis. This work provides a modular, transferrable tool to that can also inform coastal resiliency investments elsewhere.

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