Decision rules are the agreed-upon points at which specific management interventions are initiated. For marine mammal management under the U.S. Marine Mammal Protection Act (MMPA), decision rules are usually based on either a numeric population or biological-removal approach. However, for walrus and other ice-associated pinnipeds, the inability to reliably assess population numbers or biological removals highlights a significant gap in the MMPA, particularly when the Arctic environment is rapidly changing. We describe the MMPA's ecosystem-based management goals, and why managers have bypassed these goals in favor of an approach that depends upon numerical population assessment. We then revisit the statute's primary goals in light of current knowledge about the Pacific walrus ecosystem and new developments in environmental governance. We argue that to monitor and respond to changes in the walrus ecosystem, decision rules should be based on scientific criteria that depend less on the currently-impractical goal of accurately enumerating population size and trends, or removals from that population. Rather, managers should base decisions on ecological needs and observed ecological changes. To implement this approach would require an amendment to the MMPA that supports filling the gap in management with achievable decision rules. Alternatively, walrus and other ice-associated pinnipeds will remain largely unmanaged during a period of profound environmental change.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jenvman.2009.08.016 | DOI Listing |
iScience
December 2024
Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR.
Similarity or homophily in personality drives preferential strong social bonds or friendships in humans and some non-human primate species. However, little is known about the general behavioral "decision rules" underlying animal friendships in other taxa. We investigated a feral and free-ranging population of water buffalo () to determine whether homophily in personality drives female friendships () in this social ungulate.
View Article and Find Full Text PDFAdv Radiat Oncol
January 2025
Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee.
Purpose: Despite its high cost-effectiveness, radiation oncology faces the greatest prior authorization (PA) burden of any medical specialty. Insurance denials and resulting treatment delays have been documented across several treatment modalities, including stereotactic body radiation, intensity modulated radiation, and proton therapy. Although insurance companies suggest that PA is intended to control health care spending and ensure the implementation of evidence-based practice, the number of radiation treatment plans reviewed by the PA process that result in changes is quite low.
View Article and Find Full Text PDFCurr Drug Saf
January 2025
Hull and East Yorkshire Hospitals NHS Trust, Department of Elderly/ Frailty Medicine, United Kingdom.
Background: Mycophenolate mofetil (MMF) is an immunosuppressant commonly used for treating autoimmune diseases.
Case Presentation: We report a diagnostically challenging case of MMF-induced colitis in a patient after 3 years of initiation of MMF therapy. A 76-year-old Caucasian female with a history of Chronic inflammatory demyelinating polyneuropathy receiving MMF presented to the hospital with a 7-weeks history of watery diarrhoea and crampy abdominal pains.
The ethics of care and justice represent two modes of moral reasoning that nurses use in solving real-life ethical dilemmas. The present study investigated what types of dilemmas nurses encounter in everyday work and to what extent they use care versus justice reasoning to solve them. The study used a cross-sectional survey design.
View Article and Find Full Text PDFJ Cheminform
January 2025
PROMOCS Laboratory, Department of Chemistry and Chemical Technologies, University of Calabria, Arcavacata di Rende (CS), Italy.
Effective light-based cancer treatments, such as photodynamic therapy (PDT) and photoactivated chemotherapy (PACT), rely on compounds that are activated by light efficiently, and absorb within the therapeutic window (600-850 nm). Traditional prediction methods for these light absorption properties, including Time-Dependent Density Functional Theory (TDDFT), are often computationally intensive and time-consuming. In this study, we explore a machine learning (ML) approach to predict the light absorption in the region of the therapeutic window of platinum, iridium, ruthenium, and rhodium complexes, aiming at streamlining the screening of potential photoactivatable prodrugs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!