Biodiversity conservation in the context of climate change: Facing challenges and management strategies

生物多样性 环境资源管理 气候变化 背景(考古学) 适应性管理 生态系统服务 生物多样性保护 环境规划 地理 生态系统 生态学 环境科学 生物 考古
作者
Z. Wang,Tongxin Wang,Xiujuan Zhang,Junbang Wang,Yongsheng Yang,Yu Sun,Xiling Guo,Qinghua Wu,Eugenie Nepovimová,Alan E. Watson,Kamil Kuča
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:937: 173377-173377 被引量:3
标识
DOI:10.1016/j.scitotenv.2024.173377
摘要

Biodiversity conservation amidst the uncertainty of climate change presents unique challenges that necessitate precise management strategies. The study reported here was aimed at refining understanding of these challenges and to propose specific, actionable management strategies. Employing a quantitative literature analysis, we meticulously examined 1268 research articles from the Web of Science database between 2005 and 2023. Through Cite Spaces and VOS viewer software, we conducted a bibliometric analysis and thematic synthesis to pinpoint emerging trends, key themes, and the geographical distribution of research efforts. Our methodology involved identifying patterns within the data, such as frequency of keywords, co-authorship networks, and citation analysis, to discern the primary focus areas within the field. This approach allowed us to distinguish between research concentration areas, specifically highlighting a predominant interest in Environmental Sciences Ecology (67.59 %) and Biodiversity Conservation (22.63 %). The identification of adaptive management practices and ecosystem services maintenance are central themes in the research from 2005 to 2023. Moreover, challenges such as understanding phenological shifts, invasive species dynamics, and anthropogenic pressures critically impact biodiversity conservation efforts. Our findings underscore the urgent need for precise, data-driven decision-making processes in the face of these challenges. Addressing the gaps identified, our study proposes targeted solutions, including the establishment of germplasm banks for at-risk species, the development of advanced genomic and microclimate models, and scenario analysis to predict and mitigate future conservation challenges. These strategies are aimed at enhancing the resilience of biodiversity against the backdrop of climate change through integrated, evidence-based approaches. By leveraging the compiled and analyzed data, this study offers a foundational framework for future research and practical action in biodiversity conservation strategies, demonstrating a path forward through detailed analysis and specified solutions.
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