Evaluating Agri-Environmental Indicators for Land Use Impact in Baltic Countries Using Multi-Criteria Decision-Making and Eurostat Data

土地利用 环境资源管理 环境影响评价 环境规划 地理 环境保护 业务 环境科学 生态学 生物
作者
Dalia Štreimikienė,Ahmad Bathaei,Justas Štreimikis
出处
期刊:Land [MDPI AG]
卷期号:13 (12): 2238-2238
标识
DOI:10.3390/land13122238
摘要

The present research assesses the agri-environmental sustainability of the Baltic states, namely Lithuania, Latvia, and Estonia, while analyzing agricultural biodiversity, greenhouse gas emissions, land utilization, energy use, and water management. For the purpose of these evaluations and ranking, we employ the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), applied to a set of agri-environmental indicators (AES) collected from various sources, including Eurostat and similar databases. This knowledge is necessary to help policymakers or agricultural managers who are interested in developing more sustainable agriculture in the region. That is why, according to the findings, the highest AES value is attributed to Latvia, followed by Lithuania and Estonia. Conservation methods that were essential included High-Nature-Value farmland, bird populations in agricultural habitats, organic farming, and water. It emphasizes the use of Multi-Criteria Decision Making tools for combining both qualitative and quantitative data and form the general framework for sustainability assessment. Another goal of this research is to fill the gap in the literature regarding the lack of attention paid to agri-environmental sustainability in the Baltic area in general. This, therefore, suggests that assessing the strengths or weaknesses of these nation-states provides critical information that can inform the change of land management practices, nutrition practices in agriculture, and the ability of the natural world to adapt. The findings will be useful to governmental leaders and individuals involved in agriculture who need to find a balance between economic growth and conservation, as well as scholars working to improve the international measures for agri-environmental assessment.
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