1997 - 2019年加拿大不列颠哥伦比亚省中西部生物地理气候生态系统分类带时空变化的时间序列模拟

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2025-04-18 DOI:10.1016/j.ecoinf.2025.103155

Ilythia D. Morley , Kevin Hanna , Chris T. Darimont , Mathieu L. Bourbonnais , Ilythia D. Morley

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引用次数: 0

摘要

了解生态系统过程的空间范围和时间变异性对于研究干扰引起的土地利用和土地覆盖变化具有重要意义。在这项研究中，我们采用先进的时间序列建模方法来评估和绘制加拿大不列颠哥伦比亚省中西部的生态系统变化和生态系统覆盖特征。我们将生物地理气候生态系统分类（BEC）区数据与来自Landsat图像的指标相结合，以模拟生物地理气候生态系统覆盖如何在广泛的时空尺度上变化，这被解释为植被季节性变化的指标。为此，我们通过将1997年至2019年Landsat数据的光谱特征与衍生指数相关联，应用时间加权动态时间扭曲（TWDTW）时间序列建模方法。研究结果表明，2003年和2009年森林大火发生后，区内道格拉斯冷杉干区向山地云杉干区过渡，亚北方松林向云杉干区过渡。在广泛的时空尺度上评估生态系统的变化对于评估高度变化的景观变化对基本景观服务的累积影响具有重要意义。

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Time series modelling spatiotemporal changes in Biogeoclimatic ecosystem classification (BEC) zones between 1997 and 2019 in West-Central British Columbia, Canada

Understanding the spatial extent and temporal variability of ecosystem processes is essential for contextualizing land use and land cover change due to disturbance. In this study, we apply an advanced time series modelling method to assess and map ecosystem change and characterize ecosystem cover in west-central British Columbia, Canada. We couple Biogeoclimatic Ecosystem Classification (BEC) zone data with metrics derived from Landsat imagery to model how biogeoclimatic ecosystem cover, interpreted as an indicator of shifting vegetation seasonality, varies over a broad spatiotemporal scale. To do so, we apply the Time-Weighted Dynamic Time Warping (TWDTW) time series modelling approach by relating the spectral characteristics of Landsat data and derived indices from 1997 to 2019. Results highlight important transitions between biogeoclimatic ecosystem classes, with a transition of the interior Douglas-fir Dry to the montane-spruce Dry and the Sub-Boreal Pine to the Spruce zone Dry zones in response to large wildfires in 2003 and 2009. The assessment of ecosystem change across broad spatial and temporal scales is important for assessing the cumulative impacts of changes across highly variable landscapes on essential landscape services.

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.