Suppr超能文献

监测全球变化驱动因素的时空变化及其对半干旱林地和森林的影响——实地考察方案。

Monitoring spatiotemporal changes in global change drivers and their effects on semiarid woodlands and forests - fieldwork protocol.

作者信息

Branquinho Cristina, Rocha Bernardo, Ullah Sami, Oliveira Maria Alexandra, Vanguelova Elena, Serrano Helena C, Nunes Alice, Principe Adriana, Pinho Pedro, Munzi Silvana, Monteiro Juliana, Alonso Rocío, Gharun Mana, Guerrieri Rossella

机构信息

cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, Portugal.

School of Geography Earth and Environmental Sciences, University of Birmingham, Birmingham, England, UK.

出版信息

Open Res Eur. 2025 Mar 26;4:270. doi: 10.12688/openreseurope.18564.2. eCollection 2024.

Abstract

Training schools play a vital role in COST actions, particularly for young researchers, as they provide opportunities to visit international laboratories and learn new methodologies. In May 2024, CLEANFOREST organized its first training school, , held at the Faculty of Science of the Universidade de Lisboa. The training school included a field trip designed to explore global change drivers and their impacts on semiarid woodlands and forests. Participants engaged in hands-on activities to understand how forest ecosystems interact with key global change factors such as air quality and climate change. They were introduced to various monitoring techniques and parameters for assessing forest health, including ecosystem fluxes, tree physiology, mortality, and regeneration. Additionally, participants examined plant biodiversity and functional ecology, focusing on lichens and their connection to air quality, and soil physico-chemical properties. Participants applied these methodologies in real-world scenarios, conducting measurements (forest structure assessment, lichen diversity sampling, shrub and herbaceous diversity estimation, deadwood measurement and soil physico-chemical analysis) in different grazing management settings to assess their effects on tree growth, biodiversity, and soil properties. After the practical experience in the field using these experiences, participants were divided into groups to analyze and discuss collected data together with trainers. Key findings were summarized in presentations, together with main take home messages and suggestions on further questions to be explored and related attributes to monitor. This paper presents the field trip protocol used at Companhia das Lezírias, where simplified versions of established methodologies for sampling various ecosystem components were employed. The protocol provides a valuable reference for replicating similar studies, ensuring consistency in methodologies for future training activities.

摘要

培训学校在成本行动中发挥着至关重要的作用,特别是对年轻研究人员而言,因为它们提供了访问国际实验室并学习新方法的机会。2024年5月,CLEANFOREST组织了其第一期培训学校,在里斯本大学理学院举办。该培训学校包括一次实地考察,旨在探索全球变化驱动因素及其对半干旱林地和森林的影响。参与者参与实践活动,以了解森林生态系统如何与空气质量和气候变化等关键全球变化因素相互作用。他们学习了各种评估森林健康的监测技术和参数,包括生态系统通量、树木生理学、死亡率和再生情况。此外,参与者研究了植物生物多样性和功能生态学,重点关注地衣及其与空气质量的联系,以及土壤物理化学性质。参与者在不同的放牧管理环境中应用这些方法进行实际测量(森林结构评估、地衣多样性采样、灌木和草本植物多样性估计、枯木测量和土壤物理化学分析),以评估其对树木生长、生物多样性和土壤性质的影响。在实地运用这些经验进行实践后,参与者分组与培训师一起分析和讨论收集到的数据。关键发现通过报告进行了总结,同时还包括主要的收获信息以及关于有待进一步探索的问题和相关监测属性的建议。本文介绍了在莱齐里亚斯公司使用的实地考察方案,其中采用了既定方法的简化版本来对各种生态系统组成部分进行采样。该方案为复制类似研究提供了有价值的参考,确保了未来培训活动方法的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6cb/11976220/b7adc3f60b7f/openreseurope-4-21555-g0000.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验