基于无人机SfM数据的挺水植物生物量反演

生物量是衡量挺水植物生长状况的重要参数,对湿地生态系统健康评价具有重要意义。利用无人机影像生成运动重建结构Sf M(Structure from Motion,Sf M)数据,结合野外实测生物量构建定量反演模型,并根据反演模型对生物量进行空间制图,最后分析了挺水植物类型对生物量空间分布的影响。结果表明,文中基于Sf M数据建立的逐步线性回归模型(Stepwise Linear(SWL)regression model)具有较好的反演精度及估测能力。其模型显著性为显著(P0.01),决定系数为0.86,相对均方根误差为6.1%。挺水植物类型对生物量空间分布影响显著(P0.05)。通过对研究区挺水植物的生物量进行估算,为利用无人机遥感监测挺水植物生物量提供了新思路。     

基于无人机遥感监测滩涂湿地入侵种互花米草植被覆盖度

为了实现对沿海滩涂湿地资源与生态环境的有效管理与利用,需要对区域内的入侵种互花米草进行高精度的监测与分析.本文以福建三沙湾为试验区,以低空无人机获取的可见光和多光谱影像为数据源,对互花米草植被覆盖度进行监测与分析,通过NDVI指数模型获取了多光谱影像的植被覆盖度信息,以可见光影像为参考进行了精度检验.结果表明: 影像区互花米草植被覆盖度以40%～60%和60%～80%的中高和高等级覆盖度为主.NDVI模型估算值与真实值之间的均方根误差RMSE为0.06,决定系数R²为0.92,两者具有较好的一致性.     

利用多旋翼微型飞行器监测天山地区高山兀鹫繁殖简报

高山兀鹫(Gyps himalayensis)喜在山崖绝壁上营巢,海拔2 400~4 800 m的野外高空作业攀爬危险,观察难度较大。2014年4~9月,笔者在新疆天山中段尝试用国产遥控多旋翼微型飞行器寻找和拍摄高山兀鹫巢穴,结合路线搜索法和行为扫描法,进行栖息地调查、巢数统计、巢材分析,以及窝卵(雏)数、雏鸟生长与发育、繁殖周期、食性及食物分析。在7个地点的14个巢区的调查统计表明,高山兀鹫喜欢在朝南的崖壁上集群营巢(78.6%朝南,n=112),最长的一个繁殖地绵延7.3 km,距另外一个较近的巢区约47 km。巢材以禾草为主,如早熟禾(Poa spp.)、针茅(Stipa spp.)、老芒麦(Elymus sibiricus)等,缺乏粗大枝条。高山兀鹫1~2月产卵,窝卵数为1枚(n=21),整个繁殖周期长达8~9个月(1~10月份)。     

Fast R-CNN深度学习和无人机遥感相结合在松材线虫病监测中的初步应用研究

松材线虫病因其破坏性强、传播速度快和防治难度大等特点,严重威胁着我国的松林资源.及时发现、定位和清理病死松树是控制松材线虫病蔓延的有效手段.本研究利用小型无人机获得松材线虫病疫点的可见光和多光谱的航摄影像.根据松树针叶颜色变化,将松材线虫Bursaphelenchus xylophilus侵染的松树分为病树和枯死树两种类型.将无人机遥感正摄影像图切割成瓦片图,根据不同植被指数的特征差异,筛选出含病树和枯死树的瓦片图.训练Fast R-CNN深度学习框架形成最终模型,通过模型运算获得病枯死松树的分布地图及坐标点位置.研究结果显示Fast R-CNN深度学习和无人机遥感相结合能有效识别出病树和枯死树,正确率分别达到90％和82％,漏检率分别为23％和34％,可为大面积监测松材线虫病的发生现状和流行动态、评估防控效果和灾害损失提供技术支撑.     

Variation in cownose ray Rhinoptera neglecta abundance and group size on the central east coast of Australia

Here, we provide baseline information about the relative abundance and group size of the Australian cownose ray Rhinoptera neglecta on the central east coast of Australia. Using drone monitoring over 2 years, we completed 293 transects, each 2 km in length, at four locations distributed along c.100 km of coast. In total, 5979 R. neglecta were observed with overall relative abundance (±SE) of, 20.4 (±3.3) individuals per transect. The numbers of R. neglecta varied among locations, with the highest density found off the beach adjacent to the river mouth at Evans Head. The number of rays observed also decreased with increasing wind speed. While some of this relationship was probably associated with visibility, R. neglecta may also move offshore during strong winds. We found no evidence that R. neglecta was under significant threat. Additionally, our cost-effective surveys demonstrate the utility of aerial drones in fisheries conservation biology.     

弱光胁迫对不同生育期番茄光合特性的影响

以耐弱光番茄品系02S02、02S32和不耐弱光番茄品系02S52、02S57为材料,以普通塑料大棚光照环境为对照(晴天9:00-11:00平均光强约为800 μmol·m^-2·s^-1),普通塑料大棚上覆盖一层黑色遮阳网模拟弱光环境(光强约为对照的50%),研究弱光对4个番茄品系苗期、开花座果期、果实膨大期光合特性的影响.结果表明：弱光环境下,4个番茄品系叶片光合速率在低光强下略有增加,超过此光强后大幅下降,不同品系在不同生育期的变化趋势一致,但变化幅度不同;叶片光补偿点和暗呼吸速率随发育进程逐渐降低,耐弱光品系的降幅均大于不耐弱光品系;叶片光饱和点、最大光合速率和表观量子效率在不同生育期均有所降低,但变化幅度不同,且与品系的弱光耐受性无一致性关系.     

中国生态脆弱区联网协同观测及其在承载力研究中的应用

生态脆弱区约占中国国土面积的60%以上,全球变化和人类活动导致该区域生态系统退化加剧,资源环境承载力降低。准确量化生态脆弱区资源环境承载力对于应对全球变化风险挑战和加快生态文明建设进程具有重要意义。然而,现有的区域资源环境承载力评估方法很难体现生态系统结构、过程和功能变化在资源环境要素与承载力之间的传导作用。因此,构建网络化的野外观测体系以及获取资源环境要素-生态系统结构功能和过程-生态系统承载力变化的综合数据集,是发展资源环境承载力理论和评估方法的必要途径。本文介绍了通量以及无人机协同监测网络,包括思路、实践以及其在生态脆弱区生态系统结构、过程和功能研究中取得的初步成果。同时,基于目前已取得的成果和进展展望了联网协同观测在承载力评估方面的应用。     

Estimating morphometric attributes of baleen whales with photogrammetry from small UASs: A case study with blue and gray whales

Small unmanned aircraft systems (sUASs) are fostering novel approaches to marine mammal research, including baleen whale photogrammetry, by providing new observational perspectives. We collected vertical images of 89 gray and 6 blue whales using low cost sUASs to examine the accuracy of image based morphometry. Moreover, measurements from 192 images of a 1 m calibration object were used to examine four different scaling correction models. Results indicate that a linear mixed model including an error term for flight and date contained 0.17 m less error and 0.25 m less bias than no correction. We used the propagation uncertainty law to examine error contributions from scaling and image measurement (digitization) to determine that digitization accounted for 97% of total variance. Additionally, we present a new whale body size metric termed Body Area Index (BAI). BAI is scale invariant and is independent of body length (R² = 0.11), enabling comparisons of body size within and among populations, and over time. With this study we present a three program analysis suite that measures baleen whales and compensates for lens distortion and corrects scaling error to produce 11 morphometric attributes from sUAS imagery. The program is freely available and is expected to improve processing efficiency and analytical continuity.     

Bayesian estimation of group sizes for a coastal cetacean using aerial survey data

Many small cetacean, sirenian, and pinniped species aggregate in groups of large or variable size. Accurate estimation of group sizes is essential for estimating the abundance and distribution of these species, but is challenging as individuals are highly mobile and only partially visible. We developed a Bayesian approach for estimating group sizes using wide‐angle aerial photographic or video imagery. Our approach accounts for both availability and perception bias, including a new method (analogous to distance sampling) for estimating perception bias due to small image size in wide‐angle images. We demonstrate our approach through an application to aerial survey data for an endangered population of beluga whales (Delphinapterus leucas) in Cook Inlet, Alaska. Our results strengthen understanding of variation in group size estimates and allow for probabilistic statements about the size of detected groups. Aerial surveys are a standard tool for estimating the abundance and distribution of various marine mammal species. The role of aerial photographic and video data in wildlife assessment is expected to increase substantially with the widespread uptake of unmanned aerial vehicle technology. Key aspects of our approach are relevant to group size estimation for a broad range of marine mammal, seabird, other waterfowl, and terrestrial ungulate species.     

西双版纳热带雨林林窗空间分布格局及其特征数与林窗下植物多样性的相关性

林窗作为森林群落中一种重要的干扰方式, 对林下物种构成有着重要的影响。开展林窗空间格局及其特征指数与林下植物多样性关系研究对于探讨林窗对林下生物多样性的影响有重要意义, 有助于进一步了解群落动态, 在物种多样性保护方面也具有指导作用。本研究在西双版纳热带雨林地区随机选取3块大小为1 ha的热带雨林为研究样地, 采用轻小型六旋翼无人机搭载Sony ILCE-A7r可见光传感器, 分别获取各个样地的高清数字影像, 结合数字表面高程模型以及各个样地的地形数据用以确定各样区的林窗分布格局, 并进一步提取出各林窗的景观格局指数。结合地面样方基础调查数据, 对各样地各林窗下植物多样性情况进行统计, 旨在分析热带雨林林窗空间分布格局以及林窗下植物多样性对各林窗空间格局特征的响应情况。研究表明, 西双版纳州热带雨林林窗呈大而分散的空间分布, 林窗空间格局特征指数如林窗形状复杂性指数、林窗面积都与林下植物多样性呈显著正相关关系。在面积小的林窗下, 较之林窗形状复杂性因子, 林窗面积大小对林下植物多样性影响更显著; 在面积达到一定程度后, 相对于面积因子, 林窗形状复杂性指数对林下植物多样性影响更显著, 各样地林窗皆趋于向各自所处样地顶极群落发展。