Interdisciplinary approaches to conservation research and environmental management continue to garner interest among practitioners, academics, and students. Yet, cases of practitioners and researchers from different disciplines successfully working in concert towards an integrated conservation approach are rare. What is preventing practitioners of multiple disciplines from harmoniously working together? Why are practitioners and academics struggling to apply their graduate training to real world conservation? What is preventing the benefits of cooperation and partnerships between different disciplines addressing conservation from being realized? This special issue "Conservation without Borders: Building Communication and Action across Disciplinary Boundaries for Effective Conservation" asks readers to consider the numerous interpretations and implications of the phrase "Conservation without Borders" and to reflect on how different academic and disciplinary lenses can contribute to a more integrated approach to tackling conservation challenges. The articles that comprise this special issue offer readers insights into the ways in which different disciplines view conservation work and interdisciplinary approaches to environmental problems. Bringing these perspectives and approaches together in one place is a step towards improving communication across disciplines for the purpose of achieving more successful biodiversity conservation.
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http://dx.doi.org/10.1007/s00267-009-9383-8 | DOI Listing |
J Am Chem Soc
January 2025
Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Lysine demethylases (KDMs) catalyze the oxidative removal of the methyl group from histones using earth-abundant iron and the metabolite 2-oxoglutarate (2OG). KDMs have emerged as master regulators of eukaryotic gene expression and are novel drug targets; small-molecule inhibitors of KDMs are in the clinical pipeline for the treatment of human cancer. Yet, mechanistic insights into the functional heterogeneity of human KDMs are limited, necessitating the development of chemical probes for precision targeting.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Natural Resource Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia.
Assessing the impacts of forest cover change on carbon stock and soil moisture dynamics is critical for understanding environmental degradation and guiding sustainable land management. This study evaluates the effects of forest cover change on carbon stock and soil moisture dynamics in Nensebo Forest from 1993 to 2023 using geospatial techniques. Landsat imagery including TM (1993), ETM + (2009), and OLI/TIRS (2023) were used.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
School of Energy and Power Engineering, Xihua University, No. 9999 Hongguang Street, Chengdu, 610039, Sichuan Province, China.
Analysis of crop water requirement and its influencing factors are important for optimal allocation of water resources. However, research on variations of climatic factors and their contribution to wheat water requirement in Xinjiang is insufficient. In our study, daily meteorological data during 1961‒2017 in Xinjiang was collected.
View Article and Find Full Text PDFInt J Biometeorol
January 2025
Department of Ecosystem Science and Management, University of Wyoming, Laramie, WY, 82071, USA.
Clin Oral Investig
January 2025
Clinic of Conservative and Preventive Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland.
Objective: Aim of this study was to critically appraise clinical evidence on the potential benefits of adjunctive use of superfoods green tea and turmeric as mouthrinse or local delivery agents in the treatment of periodontal disease.
Materials And Methods: Electronic searches were performed in four databases for randomized trials from inception to February 2024 assessing the supplemental use of superfoods green tea and turmeric for gingivitis/periodontitis treatment. After duplicate study selection, data extraction, and risk-of-bias assessment with the RoB 2 tool, random-effects meta-analyses of Mean Differences (MD) or Standardized Mean Differences (SMD) with their 95% confidence intervals (CI) were performed.
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