Bibliographic record
Abstract
This chapter expands the discussion of the analysis of spatial structure to include the dimension of time, and the spatial dynamics of ecological processes and the resulting patterns. The intimate relationship between spatial structure and temporal change in ecological systems was eloquently described by Watt (1947) in his famous discourse on pattern and process in plant communities. His theme was that a plant community could be viewed as a working mechanism with dynamic behaviour of development, degradation and regeneration. In many plant communities, the various phases of the dynamic process coexist, and have an identifiable spatial relationship to each other (Figure 6.1). In communities of animals, the relationship between spatial locations and dynamic processes are even more obvious, as animals move through the spatial structure of their habitat to find resources or mates and to avoid predation. At the level of populations, we need to recognize that a population of a given density is not homogeneously distributed, and that the dynamics of different subpopulations' densities may be very different depending on location. At the level of the individual organism and its immediate environment, we need to realize that an individual is usually affected by very local, rather than global, conditions, and that these may change significantly over relatively small distances and over relatively small time periods. In considering almost any system, our concepts of spatial structure and its importance will include implicitly, if not explicitly, a temporal component.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".