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Coupled Space-Time Scale Analysis for Obtaining Enhanced Accuracy in Species Dynamics

ECOLOGICAL INFORMATICS(2024)

Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems & CAS Engineering Laboratory for Vegetation Ecosystem Restoration on Islands and Coastal Zones | State Key Laboratory of Urban and Regional Ecology | Chinese Acad Sci

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Abstract
Scale effects significantly affect the rationality and accuracy of ecological models, so temporal and spatial scales are included in the construction and application of ecological studies. However, few ecological pattern analyses focus on both of these scales simultaneously, which is especially important in terms of synchrony. In this study, based on fishery catch data and simulated data, we propose a framework for coupled space-time scale analysis and reveal possible deficiencies in conventional scale studies. We verified the feasibility and reliability of the scheme using simulated data with different combinations of temporal and spatial scales. The results showed that our scheme can simultaneously identify and localize scale features in the variation in species spatial-temporal patterns, specifically regarding the synchrony and amplitude of temporal dynamics (or spatial patterns) of multiple sites (or times). Our scheme revealed that spatial scales had an important effect on the intrinsic 13-year scale features, which significantly improved our understanding of global Rajiformes fishery dynamics. This showed that the spatial-temporal patterns and scale features obtained based on the coupled space-time scale analysis were complete and more accurate. At the same time, our scheme correctly identified complex pattern structures, such as data stratification and multiple combinations of time and space scales, which can reduce possible errors in practical applications. This scheme can be applied to the identification and prediction of the spatial-temporal patterns in biodiversity in the future and will help in formulating effective policies promoting sustainable fishery resources management and comprehensive conservation of endangered marine species.
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Key words
Scale analysis,Species dynamics,Wavelet analysis,Fishery catch,Spatial-temporal pattern,Synchrony analysis
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要点】:本文提出了一种耦合时空尺度分析框架,提高了物种动态研究中时空模式的识别精度,揭示了传统尺度研究中可能存在的不足。

方法】:通过构建耦合时空尺度分析框架,结合鱼获数据与模拟数据,对物种时空模式的同步性和振幅进行识别和定位。

实验】:使用包含不同时空尺度组合的模拟数据进行验证,结果表明该方法能有效识别物种时空模式中的尺度特征,使用的数据集为鱼获数据与模拟数据集,结果提升了全球 Rajiformes 鱼类动态的理解。