Forestry

Emphasizes interdependence of forest organisms and the terrestrial and aquatic components of their environment, especially in the context of industrial forestry. Introduces an ecological approach to impacts of harvesting on forest ecosystems and the major groups of wildlife inhabiting forests, including species at risk. Covers identification and habitat requirements of selected wildlife species, and applicable legislation.

Students examine relationships between soils and plants, and related roles of water and nutrients. Factors that restrict root growth, and processes that influence soil development are revealed through field exercises and laboratory work. Effects of natural and anthropogenic disturbances on forest soils and subsequent plant responses are emphasized.

Provide interpretation of aerial photographs of forested areas for stand and site characterization. Remote sensing products other than aerial photographs, such as digital optical images, thermal infrared, and radar images will be introduced. Basics in digital image processing will be covered to address the conversion of remote sensing images to GIS layers. It is a self-paced, web-based course without scheduled lectures. UNB campus students do labs during scheduled sessions. Labs are self-paced and web-based for Open Access Learning Program students. Le cours est aussi disponible en français. NOTE: Students cannot receive credit for both FOR 3303 and FOR 3313. 

Upon successful completion of this course, students will be able to design and evaluate strategic forest management strategies aimed at meeting a variety of environmental, social, and economic forest values. Strategy design will require students to combine skill in use of state-of-the-art forest estate planning systems with an understanding of natural disturbance dynamics, forest certification, and forest land zoning concepts. The course builds on student abilities acquired in prerequisite courses FOR 2006 and FOR 3006.

Studies birds; natural selection, morphological adaptations, migration, behaviour, and reproduction, in an ecological way.

An intensive 6-day series of field exercises, starting before the Fall Term, involving low student/faculty ratios, and designed to improve integrative and quantitative-forecasting skills. Evening sessions provide overviews of the scope of forest-ecosystem management generally, and in relation to the specific field-camp situation. Students are charged for food and lodging and part of travel costs.

The course introduces GIS via the industry-standard ArcGIS Pro software and emphasizes learning GIS through applied environmental management scenarios; specifically, applications in land base inventory and mapping using data for the UNB Woodlot.
The introductory module provides basic GIS concepts and ArcGIS using generalize examples. The second (primary) learning module consists of two lessons; Environmental Asset Inventory and Environmental Asset Mapping. The Environmental Asset Inventory lesson introduces ArcGIS application in inventory, including creating and using geodatabases to store forest inventory, road & stream data and other managed assets. Students are exposed to the array of digital data typically found in forest inventories and transportation networks and how they are stored, accessed, displayed, and manipulated using GIS. The Environmental Asset Mapping lesson introduces the power of ArcGIS in composing maps commonly used in environmental management, including map layers, thematic maps, and application maps. The two lessons also expose you to basic geoprocessing techniques, data editing and updating and map overlay.

The course teaches advanced GIS via the industry-standard ArcGIS Pro and emphasizes learning GIS through applied environmental management scenarios; specifically, applications in land base inventory and mapping using data for the UNB Woodlot.
The introductory module provides an accelerated refresher on core assumed GIS knowledge. The second (primary) learning module consists of three lessons; Forest Inventory Analysis, Landscape Analysis, and Non-Timber Forest Values. The lessons are not presented as an exhaustive treatment of their topics, but simply ones that present some obvious applications in forestry, in logical groupings. Forest Inventory Analysis introduces forest reclassifying and characterizing concepts and broadly applicable geoprocessing methods. Landscape Analysis and Non-Timber Forest Values, on the other hand, are theme-based lessons that employ the array of spatial analysis techniques introduced in Forest Inventory Analysis.

This course provides an introduction to LiDAR technology, including sensor types, platforms and acquisition parameters before springing in to the use of airborne laser scanning (ALS) data for environmental management and planning. Students will use ArcGIS and LAStools software to explore 3D point cloud data and generate useful derivative surfaces and analysis workflows including point cloud measurement & reclassification, DEM and DSM creation, point cloud stratification for landscape modelling and habitat suitability, trail planning, flooding potential, etc.

This course is designed for students new to Atlantic Canada. The course provides an overview of forest history, plant distribution, forest utilization, forest conservation, and current forest management issues in Atlantic Canada. Guest lectures, small group discussions, and field tours will be used.