Saproxylic insects rely on dead or dying wood at some point in their development and appear to be sensitive to forest management. In 2005 and 2006, I sampled saproxylic insects in mixedwood boreal forests in northeastern Ontario to assess effects of: 1) different logging practices, 2) variations in woody debris (WD) qualities, and 3) different sampling methods. I also compared insect communities between heavily decayed WD and soil. Although I collected data on all arthropod orders, I focused on the families of the Diptera and parasitic Hymenoptera and the morphospecies of the Scelionidae and Diapriidae. These insects showed clear responses to the WD quality treatments, but not to the different logging treatments. A few families were affected by ex situ sampling. I also found that the faunas of soil and WD are rather distinct from each other. This study shows that WD is a source of forest biodiversity. Consequently, sustainable forest management will rely on studies like this to conserve and maintain the biodiversity of Canada's largest group of eco-zones.

Structural retention harvesting represents one of the most important recent silvicultural innovations and is widely practiced in the harvesting of mature boreal stands. Following structural retention harvests, mortality of retained trees is often dramatically elevated compared to pre-harvest stands. I examined tree mortality following structural retention harvests in the southeastern Yukon Territory, using dendrochronological techniques to quantify annual mortality. I estimated integrated losses in the first five years to be at least 17.3% of retained stems. Analysis of mortality type showed that windthrow was the most important post-harvest mortality mechanism. This study represents the first analysis of mortality responses following structural retention harvests in the northern extent of operational forestry in Canada. Rates of post-harvest tree mortality observed in this study are among the highest reported to date from managed Canadian boreal forests, indicating that greater attention must be given to post-harvest stand responses if sustainable forestry practices are desired.

This thesis is an investigation of the effects of long-term drainage on plant community composition, biomass and productivity in boreal continental peatlands. Because bogs are ombrotrophic, I hypothesized that bog plant community composition, biomass and productivity would be affected by drainage less than fens. I identified six Alberta peatlands (2 bogs, 4 fens) that were affected by long-term drainage through road construction or drainage ditches. I found that understory species composition in fens changed more in response to drainage than in bogs, and was related to the degree of canopy closure. Woody biomass increased in all poor fens sites with drainage, while understory biomass was not affected. I investigated the influence of drainage on primary productivity in two sites, and found that tree and moss productivity responded differently. These results have implications for peatland carbon cycling, as an increase in woody biomass will affect litter quality and future fire risk.

A standardized method to examine soil microbial health incorporating biomass, activity, and diversity measurements is currently lacking, limiting the use of this ecologically relevant endpoint in ecological risk assessments. The soil microbial health of a petroleum hydrocarbon-contaminated boreal forest soil, relative to a reference soil, was examined using a suite of tests. Microbial health impacts in the contaminated soil were observed using nitrification, organic matter decomposition, bait lamina, denaturing gradient gel electrophoresis, community level physiological profiling, and most enzyme assays. Results of heterotrophic plate count and respiration tests indicated higher culturable numbers and activity in the contaminated soil. A data integration technique was developed to incorporate the results from individual tests into an overall conclusion, indicating that soil contamination at the site moderately to severely impacted microbial health. The research presented lays the foundation for the development of a soil microbial health standardized method.

I investigated the effects of multi-decadal water table drawdown on carbon (C) exchange, as well as functional relationships between C fluxes and environmental controls, in a boreal rich fen. Drainage increased ecosystem respiration of CO2 and decreased CH4 fluxes, but did not affect understory primary productivity. Drainage altered plant responses to light availability, as well as the responses of ecosystem respiration and CH4 flux to water table position. In a laboratory experiment, I found that drainage reduced potential CO2 and CH4 fluxes suggestive of decreased peat substrate quality. Together, these results indicate that long-term drying increases C losses and that both environmental conditions and substrate quality influenced C fluxes post-drainage. My findings suggest that C losses from increased ecosystem respiration may not be mitigated by increases in plant productivity or decreases in substrate quality, and that long-term drainage reduced C storage capacity in this boreal fen. / The Natural Sciences and Engineering Research Council of Canada

Freshwater ecosystems face unprecedented levels of human-induced stresses and it is expected that the invasion of non-indigenous species will cause the greatest loss of biodiversity in lakes and rivers worldwide. Bythotrephes longimanus is a predatory invertebrate that invaded North America in the early 1980s, first being detected in the Great Lakes, and then moving to a number of inland lakes in Ontario and the northern United States. Using experimental and survey-based approaches, I tested several hypotheses concerning the effects of Bythotrephes on native zooplankton community structure and function. My results indicate that Bythotrephes reduces total abundance, biomass, and richness of zooplankton, especially cladoceran taxa, throughout the ice-free season. As a result of high predation pressure by the invader, total seasonal and epilimnetic zooplankton production was also substantially reduced in invaded lakes, which may have important consequences for the transfer of energy to fish and other taxa that feed on zooplankton. Interestingly, there was some evidence that zooplankton shifted their reproduction in time and space to avoid Bythotrephes, which may buffer the effects of the invader on food web functioning. Other measures of ecosystem function were relatively unaffected by the invasion of Bythotrephes. In addition, Bythotrephes may interact in unexpected ways with other anthropogenic stressors, and act to slow down the process of recovery by preying on species that maintain community abundance during acidification, but also affecting species attempting to recolonize historically acidified lakes. Although dispersal of zooplankton may maintain some of the ecosystem functions provided by zooplankton communities, loss of biodiversity may be a permanent result of invasion. The effects of the continued spread of invasive species across the landscape may be profound, as the invader Bythotrephes has demonstrably altered zooplankton communities and may reduce the ability of freshwater ecosystems to respond to future environmental change and maintain ecosystem functioning. / Thesis (Ph.D, Biology) -- Queen's University, 2007-07-19 14:56:57.102

Ecological land classification (ELC) is used to classify forest types in Ontario based on ecological gradients of soil moisture and nutrient fertility determined in the field. If ELC could be automated using terrain surfaces generated from airborne Light Detection and Ranging (LiDAR) remote sensing, it would enhance our ability to carry out forest ecosite classification and inventory over large areas. The focus of this thesis was to determine if LiDAR-derived terrain surfaces could be used to accurately quantify soil moisture in the boreal forest at a study site near Timmins, Ontario for use in ELC systems. Analysis was performed in three parts: (1) ecological land classification was applied to classify the forest plots based on soil texture, moisture regime and dominant vegetation; (2) terrain indices were generated at four different spatial resolutions and evaluated using regression techniques to determine which resolution best estimated soil moisture; and (3) ordination techniques were applied to separate the forest types based on biophysical field measurements of soil moisture and nutrient availability. The results of this research revealed that no single biophysical measurement alone could completely separate forest types; furthermore, the best LiDAR-derived terrain variables explained only 36.5% of the variation in the soil moisture in this study area. These conclusions suggest that species abundance data (i.e., indicator species) should be examined in tandem with biophysical field measurements and LiDAR data to improve classification accuracy. / Thesis (Master, Geography) -- Queen's University, 2010-12-16 18:52:04.81

No description available.

No description available.

No description available.