Hyde Jacy L, Swanson Christine, Bohlman Stephanie A, Athayde Simone, Bruna Emilio M, Valle Denis R
School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, Florida, United States.
Division of Undergraduate Education, U.S. National Science Foundation, Alexandria, Virginia, United States.
PeerJ. 2025 Sep 9;13:e19926. doi: 10.7717/peerj.19926. eCollection 2025.
New infrastructure projects are planned or under construction in several countries, including in the bioculturally diverse Amazon, Mekong, and Congo regions. While infrastructure development can improve human health and living standards, it may also lead to environmental degradation, such as deforestation, and social change, such as loss of livelihoods. Accessible, high-quality data about infrastructure projects is essential for both monitoring these projects and studying their social and environmental impacts. As a case study, we investigated the availability and quality of data on infrastructure projects in the Brazilian Amazon by reviewing the academic literature and surveying researchers from the conservation and development community. We used the results of these surveys to identify recommended steps for the gathering, organizing, and sharing of infrastructure data by social-ecological researchers and practitioners. Although data on infrastructure in the Brazilian Amazon were generally available, they were often of poor quality and lacked information critical for monitoring and research. Data were often difficult to find on government and non-government websites as well as reformat, resulting in loss of time and resources for researchers and other stakeholders. Discrepancies between researchers' survey responses on data needs and the types of data used in peer-reviewed articles on infrastructure projects indicate the following information was often missing: geographic extent of the project, construction and operation dates, and project type (., paved . unpaved road). Including these data in a standardized format, along with making them more readily accessible by hosting them in public repositories and ensuring they are current and comprehensive, would facilitate research and improve planning, decision-making, and monitoring of operational and planned infrastructure projects in Brazil and other developing countries.
包括生物文化多样的亚马逊地区、湄公河地区和刚果地区在内的多个国家都在规划或建设新的基础设施项目。虽然基础设施发展可以改善人类健康和生活水平，但它也可能导致环境退化，如森林砍伐，以及社会变革，如生计丧失。有关基础设施项目的可获取的高质量数据对于监测这些项目以及研究其社会和环境影响至关重要。作为一个案例研究，我们通过查阅学术文献并对来自保护与发展领域的研究人员进行调查，来研究巴西亚马逊地区基础设施项目的数据可用性和质量。我们利用这些调查结果，为社会生态研究人员和从业者确定了收集、整理和共享基础设施数据的建议步骤。尽管巴西亚马逊地区基础设施的数据一般都能获取，但这些数据往往质量较差，缺乏监测和研究所需的关键信息。这些数据在政府和非政府网站上往往很难找到，也难以重新格式化，这给研究人员和其他利益相关者造成了时间和资源的浪费。研究人员对数据需求的调查答复与基础设施项目同行评审文章中使用的数据类型之间存在差异，这表明以下信息经常缺失：项目的地理范围、建设和运营日期以及项目类型（如，铺面路、土路）。以标准化格式纳入这些数据，并通过将其存放在公共存储库中使其更易于获取，并确保其时效性和全面性，将有助于开展研究，并改善巴西和其他发展中国家对现有和规划中的基础设施项目的规划、决策及监测。
