Ecology of a Managed Terrestrial Landscape
Bibliographic record
Abstract
The growing popularity of the broad, landscape-scale approach to forest management represents a dramatic shift from the traditional, stand-based focus on timber production. Ecology of a Managed Terrestrial Landscape responds to the increasing need of forest policy developers, planners, and managers for an integrated, comprehensive perspective on ecological landscapes. The book examines the “big picture” of ecological patterns and processes through a case study of the vast managed forest region in Ontario. The contributors synthesize current landscape ecological knowledge of this area and look at gaps and future research directions from several points of view: spatial patterns, ecological functions and processes, natural disturbances, and ecological responses to disturbance. They also discuss the integration of landscape ecological knowledge into policies of forest management policies, particularly with respect to Ontario's legislative goals of forest sustainability. Ecology of a Managed Terrestrial Landscape is the first book to describe the landscape ecology of a continuously forested landscape in a comprehensive manner. It is written for instructors and students in forest management, wildlife ecology, and landscape ecology, and for forest managers, planners, and policy developers in North America.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".