Collaborative approaches to natural resource management are becoming increasingly common on public lands. Negotiating a shared vision for desired conditions is a fundamental task of collaboration and serves as a foundation for developing management objectives and monitoring strategies. We explore the complex socio-ecological processes involved in developing a shared vision for collaborative restoration of fire-adapted forest landscapes. To understand participant perspectives and experiences, we analyzed interviews with 86 respondents from six collaboratives in the western U.S., part of the Collaborative Forest Landscape Restoration Program established to encourage collaborative, science-based restoration on U.S. Forest Service lands. Although forest landscapes and group characteristics vary considerably, collaboratives faced common challenges to developing a shared vision for desired conditions. Three broad categories of challenges emerged: meeting multiple objectives, collaborative capacity and trust, and integrating ecological science and social values in decision-making. Collaborative groups also used common strategies to address these challenges, including some that addressed multiple challenges. These included use of issue-based recommendations, field visits, and landscape-level analysis; obtaining support from local agency leadership, engaging facilitators, and working in smaller groups (sub-groups); and science engagement. Increased understanding of the challenges to, and strategies for, developing a shared vision of desired conditions is critical if other collaboratives are to learn from these efforts.
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http://dx.doi.org/10.1007/s00267-016-0791-2 | DOI Listing |
Biol Rev Camb Philos Soc
January 2025
Wildlife Observatory of Australia (WildObs), Queensland Cyber Infrastructure Foundation (QCIF), Brisbane, Queensland, 4072, Australia.
Camera traps are widely used in wildlife research and monitoring, so it is imperative to understand their strengths, limitations, and potential for increasing impact. We investigated a decade of use of wildlife cameras (2012-2022) with a case study on Australian terrestrial vertebrates using a multifaceted approach. We (i) synthesised information from a literature review; (ii) conducted an online questionnaire of 132 professionals; (iii) hosted an in-person workshop of 28 leading experts representing academia, non-governmental organisations (NGOs), and government; and (iv) mapped camera trap usage based on all sources.
View Article and Find Full Text PDFAdv Exp Med Biol
January 2025
Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
"A Guide to Breast Cancer Research: From Cells and Molecular Mechanisms to Therapy" is designed as a comprehensive reference for early career investigators and postgraduate students. This book aims to provide a broad overview of contemporary breast cancer research. It covers key areas including development and cancer, metastasis and immunology, subtypes, signalling, therapy, and resistance.
View Article and Find Full Text PDFNat Commun
January 2025
Princess Margaret Cancer Centre, 101 College Street, Toronto, ON, Canada.
Deep learning has proven capable of automating key aspects of histopathologic analysis. However, its context-specific nature and continued reliance on large expert-annotated training datasets hinders the development of a critical mass of applications to garner widespread adoption in clinical/research workflows. Here, we present an online collaborative platform that streamlines tissue image annotation to promote the development and sharing of custom computer vision models for PHenotyping And Regional Analysis Of Histology (PHARAOH; https://www.
View Article and Find Full Text PDFJ Bronchology Interv Pulmonol
April 2025
Thoracic Surgery, BASS Medical Group, Walnut Creek, CA.
Background: This study aimed to quantify radiation doses during navigational bronchoscopy procedures, comparing them with reported cohorts and evaluating the LungVision (Body Vision Medical Inc.) system's efficacy in dose reduction.
Methods: This retrospective observational study included 52 consecutive navigational bronchoscopy cases, categorized into 4 imaging groups based on the C-arm: Cios Spin (Siemens Healthineers), or OEC 9900 (GE HealthCare); and the 3D tomographic imaging algorithm: Cios Spin's onboard imaging, or LungVision's AI-driven imaging.
Int J Behav Nutr Phys Act
January 2025
Sport, Rehabilitation and Exercise Sciences, University of Essex, Essex, CO4 3SQ, UK.
Background: Population-levels of physical activity have remained stagnant for years. Previous approaches to modify behaviour have broadly neglected the importance of whole-systems approaches. Our research aimed to (i) understand, (ii) map, (iii) identify the leverage points, and (iv) develop solutions surrounding participation in physical activity across an English rural county.
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