Landscape scale lake surveys of Algonquin Provincial Park

To better understand the status of Lake Trout and Brook Trout populations across the Algonquin Provincial Park landscape 192 index netting surveys were conducted on 161 lakes utilizing standardized multimesh benthic gillnets between the years 2009 and 2022. Index netting was conducted using a depth-stratified randomized site survey design and employed multi-pass sampling on a majority of the lakes to provide the opportunity for occupancy analysis. Two primary netting methods were employed; Summer Profundal Index Netting (SPIN) for Lake Trout populations sampled between 2009-2012; and a modified Ontario Broadscale Monitoring (BsM) method we refer to as Short Duration Point Sampling (SDPS). The SDPS method uses the large mesh BsM nets (NA1) deployed for a one-hour duration within the same depth strata used in the BsM program with a sampling intensity in each stratum proportional to the surface area. The overall sampling intensity (nets/lake) is greater than that employed in the BsM program as we are interested in lake-specific analyses. This data dryad provides general information on each lake sampled including lake characteristics, lake volumes, netting site locations, and spring water chemistry.

为深入掌握阿尔贡金省立公园（Algonquin Provincial Park）全域湖鳟（Lake Trout）与溪鳟（Brook Trout）的种群现状，研究团队于2009至2022年间，针对161个湖泊开展了192次指标性网捕调查，调查采用标准化多网目底栖刺网开展。本次指标性网捕采用分层随机采样点设计，并对多数湖泊开展多轮采样，以支撑种群占据分析的开展。本次调查共采用两种核心采样方式：2009至2012年间针对湖鳟种群使用的夏季深湖指数网捕法（Summer Profundal Index Netting, SPIN），以及经改良的安大略省大范围监测法（Broadscale Monitoring, BsM），本研究将其命名为短时点采样法（Short Duration Point Sampling, SDPS）。SDPS法采用BsM项目配套的大网目刺网（NA1），在与BsM项目一致的水深分层区域内布设，单次布设时长为1小时，且各分层的采样强度与该层表面积成正比。鉴于本研究聚焦单湖特异性分析，整体采样强度（单位湖泊布设网具数）高于BsM项目。本Dryad数据集包含所有采样湖泊的基础信息，涵盖湖泊特征、水体容积、采样点位置及春季水体化学参数。