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Record W2102690268 · doi:10.1641/b570917

The Broad View of Landscapes

2007· article· en· W2102690268 on OpenAlexaff
Mark R. T. Dale

Bibliographic record

VenueBioScience · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Ecosystem Function in Heterogeneous Landscapes. Gary M. Lovett, Clive G. Jones, Monica G. Turner, and Kathleen C. Weathers, eds. Springer, New York, 2005. 489 pp., illus. $59.95 (ISBN 9780387240909 paper). Ecosystem Function in Heterogeneous Landscapes is the product of a Cary conference held at the Institute for Ecosystem Studies in Millbrook, New York, in 2003. Like other edited conference volumes (Likens 1989, Canham et al. 2003, etc.), it is long (489 pages) and broadly based, with the topics of its 24 chapters ranging from the theoretical and the synthetic to applications such as conservation planning. I have to admit a certain prejudice against conference volumes of this sort, which tend to be lengthy and cannot avoid disparities of style and focus. One obvious manifestation of this disparity is the great variation in the number, quality, sophistication, and usefulness of the figures used to illustrate the different chapters. My preference would be a “distilled wisdom” version with half the length of this volume and a synoptic approach that eliminates both repetition and contradiction. Although the jacket blurb hints at a groundbreaking synthesis, the book is more a compilation of current thinking and the present state of research in a number of related fields, including ecosystem science, landscape ecology, and conservation biology. The format, however, makes it difficult to compare chapter material, and it is not easy to follow the thread of a single concept throughout the volume. A flowchart or map of the relationships among the contents of the chapters might have been a useful addition. That said, I commend the editors for their introductions to each section, which identify the common themes in all of the contributions. This is essential, given the broad range of ecosystems under discussion, from freshwater and oceans to cities and forests. The major theoretical component, which the editors emphasize, is the significance of the configuration of landscape elements, not merely the composition of the landscape, for the functioning of these heterogeneous systems: the flows of ecological processes are facilitated or inhibited by the landscape's configuration. Although it is useful to have much of the current thinking on this topic collected in a single volume, I was left with the impression that a lot more thinking still needs to be done. Perhaps the most important challenge for this area of study is to develop conceptual and analytic frameworks that take into account the common elements of the broad range of systems studied. The spatial and temporal heterogeneity of ecological systems “nearly always affects processes and functions in ecosystems, and in diverse ways” (p. 414). The strength of this book is that it presents this diversity comprehensively, but diversity is also the book's weakness, inasmuch as general principles that unify the “diverse ways” are not presented. Also missing from this collection are the theoretical tools needed to facilitate the research, even though these are available elsewhere. The concept of networks is mentioned in more than one chapter (pp. 39–41, 455–456), but it is never fully developed, and its parent concept, graph theory, does not even appear in the index. This is a simple yet powerful body of theory in which spatial units are depicted as points (or nodes or vertices), with the connections and relationships between them depicted as lines (or arcs or edges); the points may have quantitative or qualitative characteristics, and the lines may have directions and other properties, such as rates. Graph theory has already been used in a variety of ecological studies (Dale 1977, Ricotta et al. 2000, Urban and Keitt 2001, Proulx et al. 2005, among many), and the subjects covered in this book would have benefited from its application. Discussions sometimes touch on the ideas of graph theory (for example, in reference to “point” processes at particular locations, with flows of energy, materials, and information between them [figure 2.1]), but it could be argued that the raster-based conceptual model depicted in figures 2.1, 2.2 and 2.3 will overly constrain developments in this area. A more open and flexible conceptual model will be important to the study of the function of heterogeneous landscapes, allowing all of the effects of the mechanisms of configuration, not just compositional differences, to be fully realized. The book's contributors are to be credited for taking on such a difficult and critically important topic. Nonetheless, the current state of research in this field leaves room for considerably more work. I look forward to future developments in this area and to more distillation of the collective wisdom. The effects of spatial heterogeneity cannot be ignored, and they must be accounted for in ways appropriate to the system under study.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.026
Scholarly communication0.0090.013
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.009
GPT teacher head0.241
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations0
Published2007
Admission routes1
Has abstractno

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