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

• 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 transmission is significant, and it is greater than that of the methods. (2) A comparison between plains and plateaus reveals significant differences in the changes of ecological source information, even exhibiting opposite characteristics. (3) Among the two methods used, the MSPA method demonstrates greater stability when the extent changes, while the CE method exhibits greater stability when the grain size changes. Additionally, the results obtained by applying constraints at different scales are more stable than those without such constraints. This study reveals the mechanisms of ecological source information transmission across scales, underscoring the necessity and urgency of further research within different scale ranges. It also emphasizes that accurately identifying ecological sources is essential for determining critical biodiversity conservation areas and guiding decision-makers in formulating effective conservation strategies and land-use planning.

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Publication Details

Journal
Ecological Indicators
Published
2024-12-24
DOI
https://doi.org/10.1016/j.ecolind.2024.113029
Citations
5
Primary Topic
Indigenous Studies and Ecology
Type
article
Field-Weighted Citation Impact
4.25

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article

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

Zhe Li, Shiqi Tian, Yue Cao, Linjuan Li et al.
5 citations
Ecological Indicators
Indigenous Studies and Ecology
4.25
article

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

Zhe Li, Shiqi Tian, Yue Cao, Linjuan Li, Wei Wu, Kai Li
article en
5 citations

Abstract

• 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 transmission is significant, and it is greater than that of the methods. (2) A comparison between plains and plateaus reveals significant differences in the changes of ecological source information, even exhibiting opposite characteristics. (3) Among the two methods used, the MSPA method demonstrates greater stability when the extent changes, while the CE method exhibits greater stability when the grain size changes. Additionally, the results obtained by applying constraints at different scales are more stable than those without such constraints. This study reveals the mechanisms of ecological source information transmission across scales, underscoring the necessity and urgency of further research within different scale ranges. It also emphasizes that accurately identifying ecological sources is essential for determining critical biodiversity conservation areas and guiding decision-makers in formulating effective conservation strategies and land-use planning.

Ecological IndicatorsVol. 170
Nanjing Agricultural University (CN), Land Consolidation and Rehabilitation Center (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Indigenous Studies and Ecology
4.25
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