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Record W2793986201

DICE-risk: Potenzielle Invasivität der Douglasie in der Schweiz: eine standortsbezogene Evaluation. Schlussbericht des Projekts im Forschungsprogramm Wald und Klimawandel

2017· article· de· W2793986201 on OpenAlexaboutno aff
Julian Hafner, Thomas Wohlgemuth

Bibliographic record

VenueDORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research) · 2017
Typearticle
Languagede
FieldAgricultural and Biological Sciences
TopicPlant and fungal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Since its introduction from North America to Europe in the middle of the19th century,\nDouglas fir (<I>Pseudotsuga menziesii</I> (Mirb.) Franco) has become the most important non-native tree\nspecies planted in Central European forests for its fast growth and good wood quality. Also in\nSwitzerland, Douglas-fir is the number one non-native tree species, even though its abundance is\nmuch lower than in Germany or France. Thirty years ago, more than 1000 stands with plantations\nof Douglas fir were documented nationwide (Bürgi and Diez 1986). Meanwhile, the nature conservancy\nhas raised the question of its invasion potential under climate change. With this study\nfinanced by the FOEN, we document where Douglas fir can establish in Switzerland. In particular,\nwe tried to answer which forest sites are suitable for Douglas fir, whether established populations\ncan negatively affect forest ecosystems, and to which degree the age of Douglas fir stands affects\nthe spread into neighbouring stands via recurrent seed dispersal.<br/>\nThe inventory of non-native tree species in Swiss forests (Bürgi and Diez 1986) served as a\nnationwide stratified systematic sample consisting of 58 forest stands with three or more Douglas\nfirs individuals aged 55 years or more. In those stands, young Douglas fir individuals were located\nand measured within a circle with a radius of 100 m around the mature Douglas fir trees. Also, the\nfollowing parameters were assessed: pH of the topsoil measured by <I>Hellige PEHAMETER</I> with an\naccuracy of 0.5 pH units, and understory light conditions using a LAI gear (leaf area index). The\npotential production area of Douglas fir in Switzerland was calculated by calibrating models with\nclimate variables of Douglas fir presence in Switzerland and at the origin of Douglas fir in the\ncoastal zone of NW USA and Canada.<br/>\nReferring to our sample, Douglas fir has been most frequently planted in beech forests at low\nelevations, and in particular in woodruff-beech communities (Galio odorati-Fagetum). We found\nsmall regeneration (< 130 cm) at elevations up to 1300 m asl, with no clear trend of abundance.\nEstablished regeneration (> 130 cm) decreases towards higher elevations. The presence of both\nsmall and established Douglas fir regeneration depends on understory light conditions and the\nnumber of mature Douglas fir trees. Improved light conditions corresponded to stands with recent\nfellings, along forest roads and in disturbed areas (e.g. windthrow). Established Douglas fir often\nshowed signs of tending measures. The number of established Douglas fir was neither correlated\nwith climatic variables nor with the pH of the topsoil. These results can be explained by the fact\nthat Douglas fir has usually been planted at sites with suitable climate and acidic soils.<br/>\nDistribution models of Douglas fir in Switzerland indicate additional suitable sites at low elevations\nwhere the tree species may be planted. A model using annual climate data from the origin\nof the coastal Douglas fir in North America resulted in a markedly larger range of suitable growing\nconditions. This indicates a considerably larger niche for this tree species in Switzerland under the\ncondition that climate seasonality is neglected.<br/>\nIn the frame of this field study, we found no stands with strong Douglas fir spread. Accordingly,\nno real or potential negative influences could be detected. A neighbourhood analysis showed\nonly few Douglas fir stands in close proximity to nature reserves of national importance. Considering\na buffer of 100 m around Douglas fir stands as sufficient, this applies to 0.1 to 1% of the sites\nlisted in the inventory of Bürgi and Diez (1986).

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0080.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.137
GPT teacher head0.385
Teacher spread0.248 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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