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Record W3158832422 · doi:10.82308/12570

The effects of landscape structure and biodiversity on ecosystem services.

2014· article· en· W3158832422 on OpenAlexfundaboutno aff
Matthew G. E. Mitchell

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsBiodiversityEcosystem servicesEnvironmental resource managementEcosystemGeographyEnvironmental planningEcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Ecosystem services, the benefits that people receive from ecosystems, depend on the movement of organisms and matter across landscapes, as well as the biodiversity and ecosystem functions that are present. Human activities around the world are rapidly and significantly changing ecosystems, landscapes, biodiversity, and, ultimately, ecosystem services. This is particularly true in agricultural systems, where human activities to maximize the ecosystem service of food production often lead to the decline of other important ecosystem services. While we understand that ecosystem services are critical to human well-being, our current knowledge of the provision of ecosystem services across landscapes contains a number of significant gaps that limit our ability to manage for services and human well-being. In particular, we don't fully understand how changes in landscape structure – the composition and configuration of land use types – affect the provision of multiple ecosystem services.In this thesis, I explore the theoretical and empirical relationships between landscape structure, biodiversity, and ecosystem service provision. I first reviewed our current understanding of these links, finding that while we commonly assume that loss of connectivity between habitat patches in a landscape will have negative effects on ecosystem service provision, we have little empirical evidence that this is the case. In particular, we know little about how this landscape connectivity might simultaneously affect multiple ecosystem services, especially for services other than food, pollination, and pest regulation. I then empirically measured the effects of agricultural landscape structure, including forest fragment connectivity, on six ecosystem services in 34 soybean fields in the Montérégie of southern Québec, Canada. Both the isolation of forest fragments on the landscape, and distances within soybean fields from adjacent forest fragments, had significant effects on the provision of ecosystem services. Importantly, each ecosystem service showed distinct differences in its pattern of provision as these components of landscape structure varied. Therefore, landscape heterogeneity, the variety of forest and field types present in the landscape, was critical to ensure the provision of multiple ecosystem services. Investigating pest regulation in this landscape in more detail, I determined that field width and forest fragments are driving patterns of diversity and abundance for both beneficial and pest arthropods in this system. However, these patterns are contradictory between these two arthropod functional groups, resulting in inconsistent effects of landscape structure on pest regulation. Finally, using a simple modeling framework, I explored how changing the pattern of habitat loss across a landscape affects ecosystem service provision at different scales. My model reveals that the form of the relationship between habitat fragments and ecosystem services is critical in determining landscape patterns of ecosystem service provision. In addition, there are inherent tradeoffs between service provision in the agricultural matrix and habitat preservation, as well as mismatches between ecosystem service provision at different scales. However, altering the amount and pattern of habitat loss across the landscape can help mitigate these issues.Overall, my thesis indicates that understanding the connections between landscape structure, biodiversity, and ecosystem service provision will be a critical avenue of research, one that will improve our ability to design multi-functional human-dominated landscapes. Only by understanding how human activities and land use change affect ecosystem services can we generate management tools to maximize multiple ecosystem services at landscape scales. As human demand for ecosystem services and our impacts on natural systems continue to rise, this will be an increasingly important knowledge gap to fill.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.003
GPT teacher head0.160
Teacher spread0.157 · 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 designObservational
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".

Quick stats

Citations9
Published2014
Admission routes2
Has abstractyes

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