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利用超高分辨率卫星图像绘制保护走廊内的外来入侵灌木图。

Mapping an alien invasive shrub within conservation corridors using super-resolution satellite imagery.

机构信息

Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.

Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa.

出版信息

J Environ Manage. 2022 Nov 1;321:116023. doi: 10.1016/j.jenvman.2022.116023. Epub 2022 Aug 22.

Abstract

Alien invasive plant species are one of the main drivers of global biodiversity loss. Methods for monitoring the spread of alien invasive plants are needed to improve management and mitigate impact on local biodiversity. Recent advances in deep learning and image fusion holds great potential for mapping and managing alien invasive plants. One such method is super-resolution image reconstruction, where a neural network learns to downscale images from coarse to fine resolution. Within the commercial timber production landscape of KwaZulu-Natal, endangered grassland corridors are threatened by American bramble invasion, impacting plants, birds, arthropods, and soil restoration. Here we aim to improve our understanding of bramble invasion dynamics through using super-resolved satellite mosaics. Bramble was classified with very high accuracies (85%) from the super-resolved satellite mosaic, compared to other conventional satellite imagery with different spectral and spatial resolutions. Using landscape analyses, we identified plantation tree harvesting and prescribed burning to be major drivers increasing bramble cover within the landscape. Bramble cover was highest one year following plantation tree harvesting. Continuous prescribed burning positively influenced bramble. Bramble cover was also high close to streams, and under future invasion projections, bramble will severely impact Ensifera species alongside low priority grasshopper species habitat. Results also indicate that bramble has a significant negative impact on intermediate priority grasshoppers and plant species richness. For controlling bramble invasion within commercial timber production landscapes, we recommend the adoption rotational harvesting, as harvesting entire plantation blocks throughout the landscape will dramatically increase invasion potential of bramble. Current bramble removal programmes should prioritize riparian areas. Special attention is needed to control bramble one year after timber harvesting, as this is when bramble cover is highest. We show the benefits of using super-resolved mosaics to gain new insights into alien invasive species dynamics, while further development of this technique will aid in managing invasive alien plant species at local scales.

摘要

外来入侵植物物种是全球生物多样性丧失的主要驱动因素之一。需要监测外来入侵植物传播的方法,以改善管理并减轻对当地生物多样性的影响。深度学习和图像融合的最新进展在绘制和管理外来入侵植物方面具有巨大潜力。一种这样的方法是超分辨率图像重建,其中神经网络学习将图像从粗分辨率缩小到细分辨率。在夸祖鲁-纳塔尔省的商业木材生产景观中,濒危草原走廊受到美国黑莓入侵的威胁,影响到植物、鸟类、节肢动物和土壤恢复。在这里,我们旨在通过使用超分辨率卫星镶嵌图来提高我们对黑莓入侵动态的理解。与具有不同光谱和空间分辨率的其他常规卫星图像相比,从超分辨率卫星镶嵌图中对黑莓进行了非常高的分类精度(85%)。使用景观分析,我们确定种植园树木采伐和规定的燃烧是增加景观内黑莓覆盖率的主要驱动因素。黑莓的覆盖率在种植园树木采伐后的一年最高。连续的规定燃烧对黑莓有积极的影响。黑莓的覆盖率也很高,靠近溪流,在未来的入侵预测下,黑莓将严重影响 Ensifera 物种以及低优先级蝗虫物种的栖息地。结果还表明,黑莓对中等优先级的蝗虫和植物物种丰富度有重大负面影响。为了在商业木材生产景观中控制黑莓的入侵,我们建议采用轮换采伐,因为在整个景观中采伐整个种植园区块将极大地增加黑莓的入侵潜力。当前的黑莓清除计划应优先考虑河流沿岸地区。需要特别注意控制采伐后一年的黑莓,因为此时黑莓的覆盖率最高。我们展示了使用超分辨率镶嵌图来深入了解外来入侵物种动态的好处,而这项技术的进一步发展将有助于在当地范围内管理入侵外来植物物种。

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