Filters: Contacts: NRC Research Press (X)
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We classified walleye ( Sander vitreus) recruitment with 81% accuracy (recruitment success and failure predicted correctly in 84% and 78% of lake-years, respectively) using a random forest model. Models were constructed using 2779 surveys collected from 541 Wisconsin lakes between 1989 and 2013 and predictor variables related to lake morphometry, thermal habitat, land use, and fishing pressure. We selected predictors to minimize collinearity while maximizing classification accuracy and data availability. The final model classified recruitment success based on lake surface area, water temperature degree-days, shoreline development factor, and conductivity. On average, recruitment was most likely in lakes larger than...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Fish,
National CASC,
Rivers, Streams and Lakes,
Science Tools For Managers,
Categories: Publication;
Types: Citation;
Tags: A1: Best mangement practices,
landscape scale conservtion
Categories: Publication;
Types: Citation;
Tags: A1: Best mangement practices,
landscape scale conservtion
Abstract (from http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0200#.WhM1YdenGUk): We demonstrated a possible future wherein coral reefs shift to an algae-dominated state that retains low coral cover and a functional biomass of herbivorous fishes that sustains a reef fish fishery. We evaluate the effect of no-take marine protected areas (MPAs) and increased coastal nutrients under two Intergovernmental Panel on Climate Change climate scenarios for years 2000–2100, which are implemented as coral bleaching events. Coral mortality from bleaching events drove a lagged increase in herbivorous fish populations via a shift from coral-dominated to algae-dominated habitats. Biomass and catch of piscivorous fish...
Categories: Publication;
Types: Citation;
Tags: Coral Reefs,
Pacific Islands CASC,
Water, Coasts and Ice
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Adaptation Planning 1-Best Management Practices,
Landscape Scale Conservation
Abstract (from NRC Research Press): Lakes respond heterogeneously to climate, with implications for fisheries management. We analyzed walleye (Sander vitreus) recruitment to age-0 in 359 lakes in Wisconsin, USA, to (i) quantify the relationship between annual water temperature degree days (DD) and walleye recruitment success and (ii) identify the influence of lake characteristics — area, conductivity, largemouth bass (Micropterus salmoides) catch rates, and mean DD — on this relationship. The relationship between walleye recruitment and annual DD varied among lakes and was not distinguishable from zero overall (posterior mean = −0.11, 90% CI = −0.34, 0.15). DD effects on recruitment were negative in 198 lakes (55%)...
Categories: Publication;
Types: Citation;
Tags: Fish,
Northeast CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
Wildlife and Plants
Categories: Publication;
Types: Citation;
Tags: A1: Best mangement practices,
landscape scale conservtion
Categories: Publication;
Types: Citation;
Tags: Adaptation Planning 1-Best Management Practices,
Landscape Scale Conservation
The Beringian Coevolution Project (BCP), a field program underway in the high northern latitudes since 1999, has focused on building key scientific infrastructure for integrated specimen-based studies on mammals and their associated parasites. BCP has contributed new insights across temporal and spatial scales into how ancient climate and environmental change have shaped faunas, emphasizing processes of assembly, persistence, and diversification across the vast Beringian region. BCP collections also represent baseline records of biotic diversity from across the northern high latitudes at a time of accelerated environmental change. These specimens and associated data form an unmatched resource for identifying hidden...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arctic Science
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