Evidence map›Paper›PMID 28446833›Full record

ArticleEcological modelling2017

The effects of invasive pests and pathogens on strategies for forest diversification.

Morag F Macpherson, Adam Kleczkowski, John R Healey, Christopher P Quine, Nick Hanley

Abstract read
In one paragraph

Article in Ecological modelling, 2017. 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. One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  3. Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery.ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) · 2018
    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

5 authors.

Morag F MacphersonComputing Science and Mathematics, School of Natural Sciences, University of Stirling, Cottrell Building, Stirling FK9 4LA, UK.
Adam KleczkowskiComputing Science and Mathematics, School of Natural Sciences, University of Stirling, Cottrell Building, Stirling FK9 4LA, UK.
John R HealeySchool of Environment, Natural Resources and Geography, College of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK.
Christopher P QuineForest Research, Northern Research Station, Roslin, Midlothian EH25 9SY UK.
Nick HanleySchool of Geography & Geosciences, Irvine Building, University of St Andrews, North Street, St Andrews, Fife KY16 9AL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diversification of the tree species composition of production forests is a frequently advocated strategy to increase resilience to pests and pathogens; however, there is a lack of a general framework to analyse the impact of economic and biological conditions on the optimal planting strategy in the presence of tree disease. To meet this need we use a novel bioeconomic model to quantitatively assess the effect of tree disease on the optimal planting proportion of two tree species. We find that diversifying the species composition can reduce the economic loss from disease even when the benefit from the resistant species is small. However, this key result is sensitive to a pathogen's characteristics (probability of arrival, time of arrival, rate of spread of infection) and the losses (damage of the disease to the susceptible species and reduced benefit of planting the resistant species). This study provides an exemplar framework which can be used to help understand the effect of a pathogen on forest management strategies.

Indexed as

Bioeconomic modellingForest managementNatural resource managementTree pests and pathogensTree species diversification

Identifiers

PMID28446833
PMCPMC5384431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.