Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale

作者：Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao · 发表于：Ecological Indicators · 年份：2024 · DOI：10.1016/j.ecolind.2024.113029 · 被引用次数：7 · 研究领域：Indigenous Studies and Ecology

• A multi-scale analysis framework was developed to obtain ecological source information. • Geographical features have more significant uncertainty influence than methods. • Results generated by the two methods exhibit different characteristics when the scale changes. • Provided reference for the research of multi-scale ecological network information. Ecological networks play a crucial role in balancing conservation and development, with notable dependencies on spatial scale, particularly within specific scale ranges. However, there is limited research on the factors influencing the reliability of ecological source information transmission across multi-scales. To address this issue, we integrated a multi-scale analysis framework based on previous studies and examined landscape scales ranging from 10 2 to 10 5 km 2 across four extents, utilizing a 30 m base resolution and six additional grain sizes. This study was conducted in two regions with distinct geographical features: the Yangtze River Delta Region (YRDR) and the Loess Plateau Region (LPR). We employed Morphological Spatial Pattern Analysis (MSPA) and Comprehensive Evaluation (CE) methods to identify ecological sources across different extents and grain sizes, while analyzing the influence of various factors on information transmission. Key findings include: (1) At the landscape level, among all factors, including extents and grain sizes, the influence of geographical features on ecological source information transmissi...