Geology topics

L. Archambault

Publications and source records attributed to L. Archambault.

2 recordsLinked to original sources

USGS2013

Survival and behaviour of juvenile unionid mussels exposed to thermal stress and dewatering in the presence of a sediment temperature gradient

Freshwater mussels (Unionidae) are a highly imperilled faunal group. One critical threat is thermal sensitivity, because global climate change and other anthropogenic activities contribute to increasing stream temperature and altered hydrologic flow that may be detrimental to freshwater mussels. We incorporated four benthic environmental components - temperature, sediment, water level (a surrogate for flow) and a vertical thermal gradient in the sediment column - in laboratory mesocosm experiments with juveniles of two species of freshwater mussels ( Lampsilis abrupta and Lampsilis radiata ) and tested their effects on survival, burrowing behaviour and byssus production. Increasing temperature diminished burrowing behaviour significantly in both species ( P < 0.01), and the dewatered treatment significantly reduced burrowing in L. radiata , compared with that in the watered treatment. Increasing temperature also significantly reduced byssus production in both species ( P < 0.01). Median lethal temperatures (LT50) ranged from 29.9 to 35.6-°C. Mussels did not burrow beneath the top stratum of sediment (0-2.5 cm) and thus did not use the available thermal refuge. Our findings suggest that rising stream water temperature and dewatering may directly impact freshwater mussel abundance by causing mortality and may have indirect impacts via sublethal effects. Reduced burrowing capacity may hamper ability to escape predation or unfavourably high or low flows, and decreased byssus production may inhibit attachment and dispersal capabilities in juveniles.

Freshwater Biology↗

USGS2011

An analytical framework to assist decision makers in the use of forest ecosystem model predictions

The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.

Environmental Modelling and Software↗