Abstracts of recent publications
			
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					Abstracts available
					
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							Minns, C.K., Moore, J.E., Shuter, B.J., and Mandrak, N.E. 
								2008
						
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							Chu, C., Jones, N.E., Mandrak, N.E., Piggott, A.R. and Minns, 
								C.K. 2008
						
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							Sharma, S., Jackson, D.A., Minns, C.K., and Shuter, B.J. 2007
						
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							Minns, C.K. 2006
						
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							Minns, C.K. and Wichert, G.A. 2005
						
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							Chu, C., Mandrak, N.E., and Minns, C.K. 2005
						
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							Chu, C., C.K.Minns, J.E. Moore, and E.S. Millard. 2004
						
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							Chu, C., C.K. Minns, and N.E. Mandrak. 2003
						
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							Minns, C.K. and J.E. Moore. 2003
						
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							Doka, S.E., D.K. McNicol, M.L. Mallory, I. Wong, C.K. Minns, 
								N.D. Yan.2003
						
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							Randall, R.G. and C.K. Minns. 2002
						
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							Morrison, H., C.K. Minns, and J.F. Koonce. 2001
						
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							Minns, C.K. 2001
					
 
Abstracts
			Minns, C.K., Moore, J.E., Shuter, B.J., and Mandrak, N.E. 2008. 
				A preliminary analysis of some key characteristics of Canadian lakes. Can. J. 
				Fish. Aquat. Sci. 65:1763-1778.
			
				Knowledge of Canada’s lakes is needed to manage environmental stresses. Lake 
				inventory and lake feature databases were used to build a national impact 
				assessment template and assess regional typology. There are ~910 400 lakes with 
				area > 0.1 km2 (10 ha), 37% of the Earth’s total. Lake features (number of 
				lakes by size class, maximum depth, mean:maximum depth ratio, Secchi depth, pH, 
				and total dissolved solids) were modeled regionally by secondary watershed 
				(SWS) using linear regression models. Lake trout (Salvelinus namaycush) 
				occurrence was analyzed as a cofactor to highlight regional links between lake 
				characteristics and aquatic biota. Significant (R2 from 0.231 to 0.492) 
				regional models were obtained using area or maximum depth, lake trout 
				occurrence, and their cross products as covariates. Analyses of fitted SWS 
				coefficients showed that ecozones were a better predictor of lake 
				characteristics than primary watersheds. The national typology was consistent 
				with previous regional assessments. The regional models were used to estimate 
				the number, area, and volume of lake trout lakes by size class and ecozone. 
				There are ~66 500 lake trout lakes covering ~3 510 000 km2 primarily on Boreal 
				and Taiga Shield areas. Regional lake resource models will enable national 
				assessment of stresses such as climate change and invasive species.
			
Chu, C., Jones, N.E., Mandrak, N.E., Piggott, A.R. and Minns, 
				C.K. 2008. The influence of air temperature, groundwater discharge and climate 
				change on the thermal diversity of stream fishes in southern Ontario 
				watersheds. Can. J. Fish. Aquat. Sci. 65:297-308.
			
				The availability of suitable thermal habitat for fishes in streams is 
				influenced by several factors, including flow, channel morphology, riparian 
				vegetation, and land use. This study examined the influence of air temperature 
				and groundwater discharge, predictors of stream temperature, on the thermal 
				diversity (cold-, cool-, and warm-water preferences) of stream fish communities 
				in southern Ontario watersheds. Site-level fish sampling data were used to 
				assess the thermal diversity of 43 quaternary watersheds using three metrics, 
				the proportion of sites within a watershed having (i) cold-, (ii) cool-, and 
				(iii) warm-water fishes. Our results indicated that 53.9% of the variances in 
				cold-water and 54.1% of the variances in warm-water fish distributions within 
				the watersheds could be attributed to groundwater discharge and air temperature 
				variables. Climate change scenarios suggested that watersheds with high 
				groundwater discharge and the associated thermal diversity of fishes within 
				those watersheds are less sensitive to climate change than watersheds with low 
				groundwater discharge. Conservation of groundwater resources will be required 
				to lessen climate change impacts on the thermal habitat and thermal diversity 
				of stream fishes in southern Ontario watersheds.
			
Sharma, S., Jackson, D.A., Minns, C.K., and Shuter, B.J. 2007. 
				Will northern fish populations be in hot water because of climate change? 
				Global Change Biology 13:2052-2064 (doi: 10.1111/j.1365-2486.2007.01426.x)
			
				Predicted increases in water temperature in response to climate change will 
				have large implications for aquatic ecosystems, such as altering thermal 
				habitat and potential range expansion of fish species. Warmwater fish species, 
				such as smallmouth bass, Micropterus dolomieu, may have access to additional 
				favourable thermal habitat under increased surface-water temperatures, thereby 
				shifting the northern limit of the distribution of the species further north in 
				Canada and potentially negatively impacting native fish communities. We 
				assembled a database of summer surface-water temperatures for over 13 000 lakes 
				across Canada. The database consists of lakes with a variety of physical, 
				chemical and biological properties. We used general linear models to develop a 
				nationwide maximum lake surface-water temperature model. The model was extended 
				to predict surface-water temperatures suitable to smallmouth bass and under 
				climatechange scenarios. Air temperature, latitude, longitude and sampling time 
				were good predictors of present-day maximum surface-water temperature. We 
				predicted lake surface- water temperatures for July 2100 using three 
				climate-change scenarios. Water temperatures were predicted to increase by as 
				much as 18C by 2100, with the greatest increase in northern Canada. Lakes with 
				maximum surface-water temperatures suitable for smallmouth bass populations 
				were spatially identified. Under several climate-change scenarios, we were able 
				to identify lakes that will contain suitable thermal habitat and, therefore, 
				are vulnerable to invasion by smallmouth bass in 2100. This included lakes in 
				the Arctic that were predicted to have suitable thermal habitat by 2100.
			
Minns, C.K. 2006. Compensation ratios needed to offset timing 
				effects of losses and gains and achieve no net loss of productive capacity of 
				fish habitat. Can. J. Fish. Aquat. Sci. 63:1172-1182.
			
				Minns’ (Can. J. Fish. Aquat. Sci. 54: 2463–2473 (1997)) framework for assessing 
				net change of productive capacity of fish habitats in Canada is expanded to 
				include the effect of timing of losses and gains on cumulative net change. The 
				expansion requires establishment of a reference time frame for assessment. A 
				time frame of twice the project’s duration is recommended. Delaying 
				compensation actions while incurring losses early in a project increases the 
				levels of compensation required. The addition of future discounting had much 
				less effect on compensation requirements than the effects resulting from timing 
				differences between losses and compensation. As discounts apply equally to 
				losses and gains, they likely balance out over time. Delays between when 
				habitat alterations occur and when expected productive capacity is attained 
				increase the required compensation. There are advantages to starting 
				compensation efforts early in a development project. A case study of a 
				hypothetical northern diamond mine shows how various components of compensation 
				(replacement, uncertainty, and timing) can be integrated when assessing net 
				change. Consideration of all components of compensation indicates the need for 
				tougher precautionary compensation guidelines with ratios greater than the 
				current 1:1. Values of 2:1 or higher may be necessary to ensure attainment of 
				Canada’s guiding policy principle of no net loss.
			
Minns, C.K. and Wichert, G.A. 2005. A framework for defining 
				fish habitat domains in Lake Ontario and its drainage. J. Great Lakes Res. 
				31(Suppl.1):6-27.
			
				Old and new paradigms for freshwater fish habitat science are examined and a 
				framework for classifying habitat domains outlined in the Lake Ontario basin. 
				The old paradigm emphasized static measures of both habitat and fish while the 
				new one emphasizes dynamic process-oriented metrics. Temperature, light, and 
				motion are the primary axes of the new paradigm and individual and population 
				processes like growth, survival, and movement are the preferred fish metrics. 
				The science that is contributing to the formation of the new paradigm is 
				reviewed. Habitat domains with relatively homogeneous features are identified 
				in lake and stream contexts and some of their patterns on Lake Ontario 
				described. Human and other disturbances to those domains are explored. The 
				correspondences between elements of the fish assemblage in Lake Ontario and the 
				habitat domains are examined. Lotic and lentic examples of fish-habitat 
				phenomena related to the new paradigm are presented. The paradigm shift has 
				implications for scientific and management activities in the Great Lakes. The 
				framework of habitat domains provides a basis for increasing our understanding 
				of the role of habitat in fishery productivity as well as a basis for 
				coordinating agency efforts to manage habitats for multiple use. There is a 
				need to establish and maintain broad-based ecosystem monitoring programs to 
				facilitate the use of habitat knowledge in decisionmaking, and to integrate 
				fisheries management and fish habitat management within the responsible 
				jurisdictions as a key step to implementing ecosystem-based management.
			
Chu, C., Mandrak, N.E., and Minns, C.K. 2005. Potential impacts 
				of climate change on the distributions of several common and rare freshwater 
				fishes in Canada. Diversity Distrib. 11:299-310.
			
				Climate change will ultimately affect the supply and quality of freshwater 
				lakes and rivers throughout the world. This study examines the potential 
				impacts of climate change on freshwater fish distributions in Canada. Climate 
				normals data (means from 1961 to 1990) from Environment Canada were used to map 
				current climate found throughout the tertiary watersheds of Canada. Logistic 
				regressions based on these climate data were used to develop predictive 
				presence-absence equations for (a) common commercially and recreationally 
				important species and (b) an Arctic freshwater species and a freshwater fish 
				species of conservation significance listed by the Committee on the Status of 
				Endangered Wildlife (COSEWIC). The Canadian Centre for Climate Modelling and 
				Analysis Global Coupled Model 2(IS92a) provided forecasts of Canada’s climate 
				in 2020 and 2050. The data from this scenario and the logistic regressions 
				provided a ready framework for predicting the potential distributions of the 
				fishes. Physical and ecological barriers would have to be overcome for the 
				distribution of these species to actually change in response to climate change. 
				Generally, coldwater species may be extirpated from much of their present range 
				while cool and warmwater species may expand northward. Species that are limited 
				to the most southern regions of the country may expand northwards. A conceptual 
				framework for assessing potential climate change impacts on fishes and the 
				variety of management strategies required to deal with these impacts are 
				discussed. Our forecasts demonstrate the need for climate change assessments in 
				species at risk as well as for common species.
			
Chu, C., C.K.Minns, J.E. Moore, and E.S. Millard. 2004. Impact 
				of oligotrophication, temperature, and water levels on walleye habitat in the 
				Bay of Quinte, Lake Ontario. Trans. Amer. Fish. Soc. 133:868-879.
			
				Recent environmental changes in the Bay of Quinte, Lake Ontario, have coincided 
				with a decline in the stocks of walleye Sander vitreus. Suitable habitat supply 
				was estimated in three sections of the bay during the summers of 1972–2001 to 
				assess its role in the decline. An empirical model was developed to predict 
				suitable habitat area for walleyes based on their preferences for cool water 
				and low light intensity. The results indicated that lack of suitable light 
				limits walleye habitat in the bay. Walleye habitat in the shallow upper bay has 
				decreased at the rate of 34 ha/year since the invasion of dreissenid mussels in 
				1994, while that in the middle and lower bays has remained abundant. Walleye 
				stocks and suitable habitat in the upper bay have both declined since the early 
				1990s. However, this pattern has not been consistent through time and suggests 
				that other factors have also affected the Bay of Quinte walleye population. The 
				analyses developed here can be used as a tool to enhance the assessment of 
				walleye habitat dynamics in the Bay of Quinte and allow us to examine the 
				impact of oligotrophication on the habitat of an important recreational and 
				commercial species.
			
Chu, C., C.K. Minns, and N.E. Mandrak. 2003. Comparative 
				regional assessment of factors impacting freshwater fish biodiversity in 
				Canada. Can. J. Fish. Aquat. Sci. 60:624-634.
			
				This study presents a broad analysis of freshwater fish species biodiversity in 
				relation to environmental and stress metrics throughout Canada. Species 
				presence–absence data were used to calculate richness and rarity indices by 
				tertiary watershed. Richness is higher in the southern parts of Canada, whereas 
				rarity is concentrated in a “ring of rarity” around the periphery of the 
				country. Environmental and stress indices were developed for each watershed 
				using readily available mapped information. The environmental index was 
				estimated using growing degree-days above 5°C, elevation range (m) within the 
				watershed, mean annual sunshine hours, and mean annual vapour pressure (kPa). 
				The number of crop farms, forestry, waste management, and petroleum refining 
				facilities, road density (km·1000 km–2), dwelling density, and discharge sites 
				(chimneys and laundry outlets) per 1000 km2 described the human stresses in 
				each watershed. Conservation priority rankings were developed for the 
				watersheds using an integrative index of the three indices. Watersheds in 
				southern Ontario and British Columbia were ranked high because they contain the 
				greatest biodiversity and the most stress. This study indicates how regional 
				analyses can guide fisheries and watershed management.
			
Minns, C.K. and J.E. Moore. 2003. Assessment of net change of 
				productive capacity of fish habitats: the role of uncertainty and complexity in 
				decision-making. Can. J. Fish. Aquat. Sci. 60:100-116.
			
				Canada’s fish habitat management is guided by the principle of “no net loss of 
				the productive capacity of fish habitat” (NNL). Many development proposals are 
				assessed using habitat information alone, rather than fish data. Because 
				fish–habitat linkages are often obscured by uncertainty, uncertainty must be 
				factored into NNL assessments. Using a quantitative framework for assessing NNL 
				and lake habitats as a context, the implications of uncertainty for decision 
				making are examined. The overall behaviour of a net change equation given 
				uncertainty is explored using Monte Carlo simulation. Case studies from Great 
				Lakes development projects are examined using interval analysis. The results 
				indicate that uncertainty, even when large, can be incorporated into 
				assessments. This has important implications for the habitat management based 
				on NNL. First, schemas to specify relative levels of uncertainty using simple 
				habitat classifications can support robust decision making. Second, attaining 
				NNL requires greater emphasis on minimizing habitat loss and creating new areas 
				to compensate for losses elsewhere and less on detailing small incremental 
				changes in modified habitats where the fish response is difficult to 
				demonstrate. Third, the moderate to high levels of uncertainty in fish–habitat 
				linkages require that created compensation is at least twice the losses to 
				reasonably ensure NNL.
			
Doka, S.E., D.K. McNicol, M.L. Mallory, I. Wong, C.K. Minns, 
				N.D. Yan.2003. Assessing potential for recovery of biotic richness and 
				indicator species due to changes in acidic deposition and lake pH in five areas 
				of southeastern Canada. Environm. Monitoring and Assessment 88:53-101.
			
				Biological damage to sensitive aquatic ecosystems is among the most 
				recognisable, deleterious effects of acidic deposition. We compiled a large 
				spatial database of over 2000 waterbodies across southeastern Canada from 
				various federal, provincial and academic sources. Data for zooplankton, fish, 
				macroinvertebrate (benthos) and loon species richness and occurrence were used 
				to construct statistical models for lakes with varying pH, dissolved organic 
				carbon content and lake size. pH changes, as described and predicted using the 
				Integrated Assessment Model (Lam et al., 1998; Jeffries et al., 2000), were 
				based on the range of emission reductions set forth in the Canada/US Air 
				Quality Agreement (AQA). The scenarios tested include 1983, 1990, 1994 and 2010 
				sulphate deposition levels. Biotic models were developed for five regions in 
				southeastern Canada (Algoma, Muskoka, and Sudbury, Ontario, southcentral 
				Québec, and Kejimkujik, Nova Scotia) using regression tree, multiple linear 
				regression and logistic regression analyses to make predictions about recovery 
				after emission reductions. The analyses produced different indicator species in 
				different regions, although some species showed consistent trends across 
				regions. Generally, the greatest predicted recovery occurred during the final 
				phase of emission reductions between 1994 and 2010 across all taxonomic groups 
				and regions. The Ontario regions, on average, were predicted to recover to a 
				greater extent than either southcentral Québec or the Kejimkujik area of Nova 
				Scotia. Our results reconfirm that pH 5.5-6.0 is an important threshold below 
				which damage to aquatic biota will remain a major local and regional 
				environmental problem. This damage to biodiversity across trophic levels will 
				persist well into the future if no further reductions in sulphate deposition 
				are implemented.
			
Randall, R.G. and C.K. Minns. 2002. Comparison of a Habitat 
				Productivity Index and an Index of Biotic Integrity for measuring the 
				productive capacity of fish habitat in nearshore areas of the Great Lakes. 
				Journal of Great Lakes Research 28(2): 240-255.
			
				Habitat Productivity Index (HPI) and an Index of Biotic Integrity (IBI) were 
				compared as measures of habitat productive capacity for fish assemblages in 
				nearshore areas of Lake Erie and Lake Ontario. Forty-three species of fishes 
				were captured by boat electrofishing at three areas with contrasting 
				habitats-coastal wetlands, harbor breakwalls, and exposed shorelines. HPI and 
				IBI were correlated among samples as expected, but HPI was most closely 
				correlated with fish community biomass, whereas IBI was correlated with fish 
				species richness. The HPI and IBI indices differed significantly among samples 
				from the three habitat areas in both lakes, reflecting the differences in the 
				abundance and composition of fish catches. The ranking of habitat productive 
				capacity depended on the index: species richness and IBI were highest at the 
				coastal wetlands, and biomass and HPI were highest at the harbors. Results 
				support the contention that to effectively determine habitat productive 
				capacity, both the production and diversity characteristics of the fish 
				community need to be evaluated.
			
Morrison, H., C.K. Minns, and J.F. Koonce. 2001. A methodology 
				for identifying and classifying aquatic biodiversity investment areas: 
				Application in the Great Lakes basin. Aquat. Ecosystem Health and Managem. 
				4(1):1-12.
			
				A scientifically defensible methodology for identifying areas of high 
				biodiversity in aquatic environments is presented. Areas of high biodiversity 
				or Aquatic Biodiversity Investment Areas are identified using a technique 
				referred to as Habitat Supply Analysis. This technique uses the microhabitat 
				features of an ecosystem in conjunction with information on the microhabitat 
				preferences of fish to calculate the suitability of an area to fish. The method 
				is structured so that the suitability of habitat to lifestages of fish, species 
				of fish, groups of fish and fish assemblages can be evaluated. The methodology 
				recognises that to some degree all areas within an aquatic system contribute to 
				the maintenance of biodiversity. As such, a classification scheme is proposed 
				to evaluate the potential versus the actual contribution of an area to the 
				maintenance of biodiversity in an ecosystem. This classification scheme is 
				designed to help prioritise habitat restoration and preservation efforts. 
				Prototype evaluations of the methodology for identifying and classifying 
				Aquatic Biodiversity Investment Areas are presented.
			
Minns, C.K. 2001. Science for freshwater fish and habitat 
				management in Canada: current status. Aquatic Ecosystem Health and Management 
				4:423-436.
			
				Canada’s diverse freshwaters support a rich biodiversity of more than 200 
				species. Canada has strong legislation capable of conserving and protecting 
				freshwaters habitats. Fish are a key driver and indicator for restoration and 
				conservation efforts. Many of Canada’s freshwater species in Canada are thought 
				to be at risk. Apart species such as brook trout, lake trout, walleye, and 
				yellow perch, the ecology and habitat requirements of most freshwater species 
				are poorly known. Studies have mainly been descriptive and comparative but 
				experimental, ecosystem-scale integration, and modelling activities are 
				increasing. While science related to fish and their habitats is growing, little 
				is focused on the links between the production and dynamics of fish populations 
				and communities, and the supply and distribution of habitats at various scales. 
				Habitat management is still mainly reactive, assessing development at the 
				site-level with considerable uncertainty about the mitigation and compensation 
				actions approved to offset habitat losses and modifications. Communication 
				between science and management is improving. Canada has invested much energy on 
				cumulative impact assessment but effective methods for tracking cumulative 
				change and the interaction of multiple stresses have not emerged. Nonetheless 
				there is a broad consensus on the need to take an ecosystem-based approach to 
				sustainable use of Canada’s natural renewable resources, including freshwaters 
				and their fish. Management needs to shift to a more proactive approach 
				supported by better deployment of available science and scientific methods. 
				Science should emphasize quantitative whole ecosystem studies of fish and 
				habitat especially the development of models and experimental manipulations. If 
				current trends of fish habitat loss are maintained in Canada, further declines 
				in the quality and diversity of freshwater fish resources are certain despite 
				our apparent natural wealth. Modest investments in securing the future of its 
				freshwater fishery resources based on scientific advice may yet begin movement 
				toward an ecologically sustainable future.