Literature DB >> 19629733

Extensive tree health monitoring networks are useful in revealing the impacts of widespread biotic damage in boreal forests.

Seppo Nevalainen1, Martti Lindgren, Antti Pouttu, Jaakko Heinonen, Marke Hongisto, Seppo Neuvonen.   

Abstract

We surveyed the regional distribution of conifer defoliation in Finland with an extensive monitoring network during 1995-2006 (EU Forest Focus Level I). The average defoliation in the whole Finland was 10.3% in pine and 19.9% in spruce. The sharp changes were often related to abiotic and biotic factors. The mean age of the stand explained more than one half of the between-plot variance in defoliation. In a variance component analysis, the main effect of years was negligible, while most of the random variation was due to plot main effect and plot x year interaction. About one fifth of the defoliation could be attributed to abiotic or biotic damage, and there were strong local correlations, e.g., between the changes in defoliation and degree of pine sawfly (Diprionidae) damage. There were clear temporal and spatial patterns in the incidence of the most important causes [Scots pine: Scleroderris canker (Gremmeniella abietina), pine shoot beetles (Tomicus sp.), and pine sawflies (Diprion pini, Neodiprion sertifer); Norway spruce: rust fungi (primarily Chrysomyxa ledi)]. Our results suggest that extensive monitoring networks can reveal useful information about the widespread outbreaks of pest organisms (insects and fungi) already in their increase phases, giving some time for management decisions. In a changing climate, large-scale, regular monitoring of tree health, including abiotic and biotic causes, is more important than ever before.

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Year:  2009        PMID: 19629733     DOI: 10.1007/s10661-009-1100-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Air pollution and forest decline in Central Europe.

Authors:  O Kandler; J L Innes
Journal:  Environ Pollut       Date:  1995       Impact factor: 8.071

2.  Statistical and geostatistical modelling of preliminarily adjusted defoliation on an European scale.

Authors:  Walter Seidling; Volker Mues
Journal:  Environ Monit Assess       Date:  2005-02       Impact factor: 2.513

3.  A simulation study to assess the sensitivity of a forest health monitoring network to outbreaks of defoliating insects.

Authors:  Christopher B Edgar; Thomas E Burk
Journal:  Environ Monit Assess       Date:  2006-06-13       Impact factor: 2.513

  3 in total
  2 in total

1.  Adapting forest health assessments to changing perspectives on threats--a case example from Sweden.

Authors:  Sören Wulff; Åke Lindelöw; Lars Lundin; Per Hansson; Anna-Lena Axelsson; Pia Barklund; Sture Wijk; Göran Ståhl
Journal:  Environ Monit Assess       Date:  2011-06-02       Impact factor: 2.513

2.  Improving the precision of sample-based forest damage inventories through two-phase sampling and post-stratification using remotely sensed auxiliary information.

Authors:  Cornelia Roberge; Sören Wulff; Heather Reese; Göran Ståhl
Journal:  Environ Monit Assess       Date:  2016-03-08       Impact factor: 2.513

  2 in total

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