利用哨兵-2 号卫星遥感和涡度协方差通量数据评估海绵状蛾害对森林生产力和碳损失的影响

IF 4.6 2区环境科学与生态学 Q1 ECOLOGY

Ecological Processes Pub Date : 2024-05-14 DOI:10.1186/s13717-024-00520-w

Nur Hussain, Alemu Gonsamo, Shusen Wang, M. Altaf Arain

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引用次数: 0

摘要

2021 年，北美东部的落叶林经历了一次广泛而严重的海绵蛾（Lymantria dispar）虫害。本研究利用高分辨率（10 × 10 m2）"哨兵-2 "卫星遥感图像和涡度协方差（EC）通量数据，量化了此次海绵状蛾害对加拿大五大湖区森林碳循环的影响。研究结果表明，2021 年该地区落叶林和混交林的叶面积指数（LAI）和总初级生产力（GPP）值明显下降。遥感得出的落叶林（混交林）生长季平均 LAI 值在 2020 年、2021 年和 2022 年分别为 3.66 (3.18)、2.74 (2.64) 和 3.53 (2.94) m2 m-2，表明 LAI 与侵染前和侵染后年份相比减少了约 24 (14)%。同样，2020 年、2021 年和 2022 年，落叶林（混交林）生长季的 GPP 值分别为 1338（1208）、868（932）和 1367（1175）克 C m-2，表明 2021 年的 GPP 与虫害发生前和发生后的年份相比减少了约 35（22）%。与 2020 年（2022 年）相比，虫害导致的落叶林和混交林的 GPP 减少在放大到整个研究区域（17.8 万平方公里）后，分别导致 2110 万吨（2140 万吨）的碳损失。这表明加拿大五大湖区的这种虫害造成了大规模的碳损失。本研究开发的方法提供了宝贵的工具，可通过整合实地观测、高分辨率遥感数据和模型，评估和量化自然干扰对森林生态系统区域碳平衡的影响。研究结果还将有助于制定可持续森林管理方法，通过基于自然的气候变化解决方案实现碳净零排放目标。

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Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data

Deciduous forests in eastern North America experienced a widespread and intense spongy moth (Lymantria dispar) infestation in 2021. This study quantified the impact of this spongy moth infestation on carbon (C) cycle in forests across the Great Lakes region in Canada, utilizing high-resolution (10 × 10 m2) Sentinel-2 satellite remote sensing images and eddy covariance (EC) flux data. Study results showed a significant reduction in leaf area index (LAI) and gross primary productivity (GPP) values in deciduous and mixed forests in the region in 2021. Remote sensing derived, growing season mean LAI values of deciduous (mixed) forests were 3.66 (3.18), 2.74 (2.64), and 3.53 (2.94) m2 m−2 in 2020, 2021 and 2022, respectively, indicating about 24 (14)% reduction in LAI, as compared to pre- and post-infestation years. Similarly, growing season GPP values in deciduous (mixed) forests were 1338 (1208), 868 (932), and 1367 (1175) g C m−2, respectively in 2020, 2021 and 2022, showing about 35 (22)% reduction in GPP in 2021 as compared to pre- and post-infestation years. This infestation induced reduction in GPP of deciduous and mixed forests, when upscaled to whole study area (178,000 km2), resulted in 21.1 (21.4) Mt of C loss as compared to 2020 (2022), respectively. It shows the large scale of C losses caused by this infestation in Canadian Great Lakes region. The methods developed in this study offer valuable tools to assess and quantify natural disturbance impacts on the regional C balance of forest ecosystems by integrating field observations, high-resolution remote sensing data and models. Study results will also help in developing sustainable forest management practices to achieve net-zero C emission goals through nature-based climate change solutions.

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来源期刊

Ecological Processes Environmental Science-Ecological Modeling

CiteScore

8.50

自引率

4.20%

发文量

审稿时长

13 weeks

期刊介绍： Ecological Processes is an international, peer-reviewed, open access journal devoted to quality publications in ecological studies with a focus on the underlying processes responsible for the dynamics and functions of ecological systems at multiple spatial and temporal scales. The journal welcomes manuscripts on techniques, approaches, concepts, models, reviews, syntheses, short communications and applied research for advancing our knowledge and capability toward sustainability of ecosystems and the environment. Integrations of ecological and socio-economic processes are strongly encouraged.