密歇根州上半岛图岩国家湖岸山毛榉树皮病引起的森林连通性变化

Stephanie R. Sattler
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引用次数: 0

摘要

在图岩国家湖岸的森林里,生物学家正试图了解山毛榉树皮病对野生动物物种的影响,尤其是那些需要森林连接才能茁壮成长的物种。该项目使用了2005年山毛榉树皮病侵袭后不久收集的航空图像和2018年的卫星图像。2018年的图像代表了当前的条件,并通过基于对象的图像分析用于定位森林冠层间隙。在Trimble的eCognition软件中使用多分辨率分割算法识别森林冠层间隙。完成了时间变化分析,以了解2005年至2018年森林冠层的变化情况。分析显示,维持了森林冠层、维持了森林冠层空隙、创造了新的冠层空隙(2005年是封闭的冠层,2018年是开放的冠层空隙)或创造了新的冠层(2005年是开放的冠层空隙,2018年是封闭的冠层)的地区。有9127英亩的森林冠层消失,其中72.8%的冠层消失发生在一种林型中,其中大花fagus grandfolia Ehrh。(美洲山毛榉)是一种常见的树种。通过该项目开发的数据集可以增强对树冠间隙存在位置的了解,并有助于将重点放在野生动物研究的某些区域。此外,这些数据集可用于未来的研究,以监测森林的健康状况并进行额外的变化分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changes in forest connectivity from beech bark disease in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan
Within the forests of Pictured Rocks National Lakeshore, biologists are trying to understand the effects beech bark disease has on wildlife species, especially species that need forest connectivity to thrive. This project used aerial imagery collected in 2005, shortly after beech bark disease infestation, and satellite imagery from 2018. The 2018 imagery represents present day conditions and was used to locate forest canopy gaps through object-based image analysis. Forest canopy gaps were identified using the multiresolution segmentation algorithm within Trimble’s eCognition software. A time change analysis was completed to understand how the forest canopy had changed from 2005 to 2018. The analysis showed areas that had maintained forest canopy, maintained a forest canopy gap, created a new canopy gap (closed forest canopy in 2005 but open canopy gap in 2018), or created new forest canopy (open canopy gap in 2005 but closed forest canopy in 2018). There were 9,127 acres of forest canopy lost, and 72.8 percent of that lost canopy occurred in a forest type where Fagus grandifolia Ehrh. (American beech) is a common tree species. The datasets developed through this project can enhance knowledge of where canopy gaps exist and help place focus on certain areas for wildlife studies. In addition, these datasets can be used in future studies to monitor the health of the forest and conduct additional change analyses.
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