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Assessing the activity of deer and their influence on vegetation in a wetland using automatic cameras and low altitude remote sensing (LARS)
European Journal of Wildlife Research ( IF 1.8 ) Pub Date : 2021-01-03 , DOI: 10.1007/s10344-020-01450-6
Hideyuki Niwa

It was thought by the author of the present study that if both automatic cameras and LARS were used, instead of one or the other, then it would be possible to efficiently gain knowledge that could be applied in the strategic management of deer in wetlands. In the Mizorogaike wetland, deer (Cervus nippon) graze plants throughout its entire area. Aerial images taken in the winter were used in the deer trail survey, as the vegetation would be withered, and the deer trails become easier to identify. The rare species selected to evaluate the effect of deer on vegetation was Menyanthes trifoliata, which was reported to be on the decline in the Mizorogaike wetland. The deer trails were identified visually. M. trifoliata was detected in the images using deep learning. I investigated the relationship between increases and decreases in areas covered by M. trifoliata during the period from 2016 to 2019 and the distance of these areas from deer trails. Three routes were selected where the deer trails indicated that the deer might be crossing the water. Four camera traps were set up on the land side facing the water. In the Mizorogaike wetland, during the period from 2015 to 2019, the area where deer trails could be observed spread to every corner of the wetland. Deer trails became conspicuous at the southwest edge of the Mizorogaike wetland. Although in 2015 the deer trails were limited to the northern half of the floating mat, by 2019, they had spread down into the southern half. Although camera traps were only used to investigate the wetland in 2019, it is thought that deer began to regularly swim across the water during the period from 2015 to 2019 and that this led to trails forming in the south of the floating mat. The area covered by M. trifoliata decreased by 20% from 2016 to 2019. The areas where M. trifoliata cover decreased tended to be nearer to deer trails than the areas where it increased.



中文翻译:

使用自动照相机和低空遥感(LARS)评估鹿的活动及其对湿地植被的影响

本研究的作者认为,如果同时使用自动照相机和LARS,而不是使用两者,则可以有效地获得可用于湿地鹿战略管理的知识。在Mizorogaike湿地中,鹿(Cervus nippon)在整个区域内都有草食。鹿径调查中使用了冬季拍摄的航拍图像,因为植被将枯萎,并且鹿径变得更容易识别。为评估鹿对植被的影响而选择的稀有物种是三叶草Menyanthes trifoliata),据报道该物种在米佐罗基克(Mizorogaike)湿地上正在减少。肉眼可见鹿的踪迹。三叶草使用深度学习在图像中检测到 我调查了三叶草覆盖面积的增加和减少之间的关系在2016年至2019年期间,以及这些区域与鹿径之间的距离。选择了三条路线,其中鹿的踪迹表明鹿可能在水面上。在面向水的陆地上设置了四个摄像头陷阱。在2015年至2019年的米佐罗基凯(Mizorogaike)湿地中,可以观察到鹿踪迹的区域扩散到了湿地的每个角落。在米佐罗基克湿地的西南边缘,鹿径引人注目。尽管在2015年,鹿径仅限于浮垫的北半部,但到2019年,它们已扩散到南半部。尽管相机陷阱仅在2019年用于调查湿地,据认为,在2015年至2019年期间,鹿开始定期在水面上游动,这导致在浮垫的南部形成小径。覆盖的区域从2016年到2019年,三叶毛果减少了20%。三叶毛果覆盖率降低的区域趋向于比其增加的区域更接近鹿径。

更新日期:2021-01-03
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