Private Motives, Public Benefits: The role of Conservation Easements in Canadian Biodiversity Conservation
Bibliographic record
Abstract
Amid increasing urban sprawl, global temperatures, a growing population, and shrinking habitat, there are calls to expand and transform biodiversity conservation strategies. In response, I present four cases focused on the role of Conservation Easements (CEs) in Canadian private land conservation (PLC), examining how they support, impact, and transform individuals, institutions, and broader socio-ecological contexts. I use qualitative studies to a) examine their theoretical relationship with private property logics, relational connections between individuals and communities, and their place within settler-colonial logics of racism, access, and control; b) how their subnational legislation was developed and influenced across the provinces and territories of Canada; c) what motivates landowners and land trusts in Alberta to rely primarily on CEs for PLC; and why a unique grazing co-operative in southwestern Alberta has used CEs as both a means to support sustainable livelihoods and biodiversity, while rapidly expanding their landholdings via PLC payments. I employ political ecology to analyze policy documents, grey literature, existing literature, survey data, and semi-structured interviews. Considering questions of access, private rights, and public responsibilities, I argue that CEs unevenly fit within existing private-public property binaries but provide a unique PLC tool that can support conservation objectives by cultivating a constellation of diverse relationships within and beyond fence lines. This research is foundational as it presents the first in-depth qualitative analysis of the multifaceted nature of CEs in a purely Canadian context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".