Evidence map›Paper›PMID 40170681›Full record

ArticleWater, air, and soil pollution2019

Assessing the Effects of Climate Change and Air Pollution on Soil Properties and Plant Diversity in Northeastern U.S. Hardwood Forests: Model Setup and Evaluation.

Salim Belyazid, Jennifer Phelan, Bengt Nihlgård, Harald Sverdrup, Charles Driscoll, Ivan Fernandez, Julian Aherne, Leslie M Teeling-Adams, Scott Bailey, Matt Arsenault and 6 more

Abstract read
In one paragraph

Article in Water, air, and soil pollution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Salim BelyazidDepartment of Physical Geography, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-7893-4856
Jennifer PhelanRTI International, Raleigh, NC, USA.
Bengt NihlgårdDepartment of Biology, Lund University, Lund, Sweden.
Harald SverdrupDepartment of Industrial Engineering, University of Iceland, Reykjavik, Iceland.
Charles DriscollDepartment of Civil and Environmental Engineering, Syracuse University, Syracuse, NY 13244, USA.
Ivan FernandezSchool of Forest Resources and Climate Change Institute, University of Maine, Orono, ME, USA.
Julian AherneTrent University, Trent, Canada.
Leslie M Teeling-AdamsDepartment of Life and Physical Sciences, Great Bay Community College, Portsmouth, NH, USA.
Scott BaileyUSDA Forest Service, Northeastern Research Station, Campton, NH, USA.
Matt ArsenaultStantec Consulting Services, Inc., Topsham, ME, USA.
Natalie CleavittDepartment of Natural Resources, Cornell University, Ithaca, NY 14853, USA.
Brett EngstromCounsulting Botanist and Ecologist, Marshfield, VT, USA.
Robin DennisNational Exposure Research Laboratory, Environmental Protection Agency, Triangle Park, NC 27711, USA.
Dan SperdutoUSDA Forest Service, White Mountain National Forest, 71 White Mountain Dr., Campton, NH 03223, USA.
David WerierDavid Werier Botanical and Ecological Consulting, Willseyville, NY, USA.
Christopher ClarkU.S. Environmental Protection Agency, Washington, DC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The integrated forest ecosystem model ForSAFE-Veg was used to simulate soil processes and understory vegetation composition at three-sugar maple, beech, yellow birch-hardwood forest sites in the Northeastern United States (one at Hubbard Brook, NH, and two at Bear Brook, ME). Input data were pooled from a variety of sources and proved coherent and consistent. While the biogeochemical component ForSAFE was used with limited calibration, the ground vegetation composition module Veg was calibrated to field relevés. Evaluating different simulated ecosystem indicators (soil solution chemistry, tree biomass, ground vegetation composition) showed that the model performed comparably well regardless of the site's soil condition, climate, and amounts of nitrogen (N) and sulfur (S) deposition, with the exception of failing to capture tree biomass decline at Hubbard Brook. The model performed better when compared with annual observation than monthly data. The results support the assumption that the biogeochemical model ForSAFE can be used with limited calibration and provide reasonable confidence, while the vegetation community composition module Veg requires calibration if the individual plant species are of interest. The study welcomes recent advances in empirically explaining the responses of hardwood forests to nutrient imbalances and points to the need for more research.

Indexed as

Bear BrookEcosystem modelingForSAFE-VegHubbard BrookPlant biodiversityVegetation modeling

Identifiers

PMID40170681
PMCPMC11960721

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.