ABSTRACT

This paper proposes an approach for identifying and evaluating Landsense ecology and Landsenseology. The case study focuses on proper management of land uses in the wider area of Florina in Greece and on improving the inhabitants’ quality of life. The two novel concepts are associated with the preservation and further improvement of living conditions in the city. The carrier that is used is the land coverage of the wider area of the city.

The methodological approach relies on ecosystem services derived from land cover. The aim is to describe the spatial distribution of basic ecosystem services, their interactions and to investigate whether they generate statistical correlations with various characteristics of the city.

An analysis of twelve variables is carried out based on a hectare scale that covers the city and its surrounding area. The adopted scale is very large for such research and the relationships between variables are explored with Principal Component Analysis (PCA). Results reveal that the distribution of variables is determined by current social conditions, existing ecological structures and by past decisions. The outcome indicates that PCA can be an important tool that enables speedy processing of large quantities of data concurrently. The relationship between sustainable development and ecosystem services is analyzed in a different way and is projected into the future. This is effectively achieved by the validation of the thematic intervention routes. It is the first time the terms Landsense ecology and Landsenseology are used in Greece in order to explore a specific problem and provide appropriate answers.

摘要

本文提出了一种识别和评价景感生态学和景感学的方法。案例研究的重点是对希腊弗洛里纳更广泛地区的土地利用进行适当管理，以及提高居民的生活质量。这两个新颖的概念与城市生活条件的保护和进一步改善有关。使用的载体是城市更广泛区域的土地覆盖。

方法论依赖于源自土地覆盖的生态系统服务。目的是描述基本生态系统服务的空间分布及其相互作用，并研究它们是否与城市的各种特征产生统计相关性。

基于覆盖城市及其周边地区的公顷规模对十二个变量进行了分析。此类研究采用的规模非常大，并且使用主成分分析 (PCA) 探索变量之间的关系。结果表明，变量的分布是由当前的社会条件、现有的生态结构和过去的决定决定的。结果表明 PCA 可以成为一种重要的工具，可以同时快速处理大量数据。可持续发展与生态系统服务之间的关系以不同的方式进行分析并预测到未来。这是通过主题干预路线的验证有效实现的。