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Predicting the long-term evolution of a barrier spit in a changing climate: A case study in Rhode Island, Napatree Point
No full textShoreline recession poses a substantial threat to coastal communities. This study evaluates the long-term viability of the undeveloped Napatree barrier spit in Rhode Island, which provides critical habitat for both flora and fauna, including endangered species, and protects the small town of Westerly from the direct impact of tropical storms and Nor’easters. While the Napatree shoreline has been morphologically stable in recent decades (1970–present), historical periods of higher storm frequency and intensity had resulted in significant changes, including spit splitting and significant transgression. We use the one-line numerical model ShorelineS to assess long-term changes in the position of the Napatree shoreline. The model is calibrated and validated using 30 years of historical observations and then applied to estimate expected shoreline positions in the near future (approximately 2050), considering projected sea level rise (SLR) and potential changes in wave climate and storm frequency. Despite the past and current stability of the dune system, under projected SLR and changes in wave climate, the barrier is expected to recede, possibly reaching a tipping point in the forthcoming decades when its viability would be threatened. This would increase flood risks to the inland community, including critical infrastructures and residential areas. Results suggest that storm intensification rather than SLR is the primary factor of accelerating shoreline recession—by a factor of 4—compared with SLR-only scenarios
Usage Statistics: Project COUNTER R5 tr_j1 Report FY2025 - Journal Requests (Controlled) by Title
No full textProject COUNTER R5 / 5.1 Report TR_J1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_J1 report is defined as Journal Requests (Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Total Item Requests - 850,324
Unique Item Requests - 628,58
Usage Statistics: Project COUNTER R5 tr_j1 Report FY2025 - Journal Requests Controlled) by Platform
No full textProject COUNTER R5 / 5.1 Report TR_J1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_J1 report is defined as Journal Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Total Item Requests - 850,324
Unique Item Requests - 628,58
Usage Statistics: Project COUNTER R5 tr_b1 Report FY2025 - Book Requests (Controlled) by Platform
No full textProject COUNTER R5 / 5.1 Report TR_B1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_B1 report is defined as Book Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Total Item Requests - 194,197
Unique Title Requests - 60,00
Usage Statistics: Project COUNTER R5 tr_b1 Report FY2025 - Book Requests Controlled) by Title
No full textProject COUNTER R5 / 5.1 Report TR_B1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_B1 report is defined as Book Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Total Item Requests - 194,197
Unique Title Requests - 60,00
Usage Statistics: Project COUNTER R5 ir_m1 Report FY2025 - Multimedia Item Requests
No full textProject COUNTER R5 / 5.1 Report IR_M1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The IR_M1 report is defined as Multimedia Item Requests. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Total Item Requests - 3,35
Usage Statistics: Project COUNTER R5 dr_d1 Report FY2025 - Database Search and Item Usage
No full textProject COUNTER R5 / R5.1 Report DR_D1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The DR_D1 report is defined as Database Search and Item Usage. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Searches Automated - 38,089
Searches Federated - 1,810
Searches Regular - 1,304,882
Total Item Investigations - 933,864
Total Item Requests - 286,91
Usage Statistics: Project COUNTER R5 pr_p1 Report FY2025 - Platform Usage
No full textProject COUNTER R5 / 5.1 Report PR_P1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The PR_P1 report is defined as Platform Usage. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.
File for download is Excel spreadsheet generated by Alma Analytics.
Results:
Searches Platform - 294,352
Total Item Requests - 1,451,061
Unique Item Requests - 1,078,034
Unique Title Requests - 55,77
VOTING WITH THEIR (LEFT AND RIGHT) FEET: DO PARTISANS VALUE NEIGHBORHOOD ENVIRONMENTAL AMENITIES DIFFERENTLY?
Full text linkThere exists a consistent partisan gap in preferences for public spending on the environment, with approval being 20 to 40 percentage points higher for Democrats than Republicans. In this paper, we investigate whether there is a similar partisan gap present in residential preferences for environmental amenities. We link housing data, land use, and household characteristics, including voter registration, for three distinct housing markets, and we develop a residential sorting model to estimate marginal willingness-to-pay (MWTP) for residential proximity to conserved land, allowing for preference heterogeneity by partisanship as well as other household characteristics. For all households combined, we estimate average annual household MWTP for locations proximate to open space to range from 1,061 across the three markets. In our model that allows for heterogeneous preferences across groups, we find no evidence that Republicans’ MWTP is less than Democrats’ MWTP, and we statistically reject the magnitude of preference disparity found in voting studies. These findings establish a difference in relative preferences across venues that has implications for valuation research and political economy. To assess why relative preferences may differ across venues, we develop a simple theoretical model that applies to both housing and voting decisions and incorporates parameters for parochial altruism and tax aversion. Using prior estimates on partisan differences in key parameters, we find both intuitive and, to some extent, numerical support for the observed difference in relative preferences