Computer-aided choice of trees for felling

Hagner, Mats; Lohmander, Peter; Lundgren, Martin

doi:10.1016/s0378-1127(00)00705-2

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…Fractal analysis has provided a useful tool for determining suitable spatial scales for management interventions and shows that management measures need to be applied at finer scales than has generally been the case in the past. Practices of clear-felling in large coupes, while it may offer economic advantages in terms of nett income (Hagner et al 2001) and liquidity (Tarp et al 2000), create a poorer environment for these deer species. Moose would be promoted using forestry practices that felled a high proportion of trees in small patches or narrow strips <160 m wide but left isolated trees~15 m apart to provide visible 'best neighbours' and thus provide more food in open areas in the vicinity of cover.…”

Section: Conservation Implicationsmentioning

confidence: 99%

Assessing microhabitat use by roe deer and moose in China

Jiang

Zhang

et al. 2009

Wildl. Res.

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Potential conflicts between forestry production practices and wildlife habitat requirements are increasing globally with rapid socioeconomic development. Moose (Alces alces cameloides) and roe deer (Capreolus pygargus bedfordi) populations are in decline in north-eastern China, an area managed for forestry production. We obtained detailed information about these species' use of habitat by following their movement paths in snow and recording behaviours exhibited along their paths. We used fractal analysis, Mann-Whitney U-tests and linear mixed models to analyse the paths and the relationships between tortuousity, habitat, and the expressed behaviours at different spatial scales. This analysis showed a natural break in the fractal dimension of moose movement paths at a scale of~10 m, suggesting that moose exhibited different responses to their microhabitat and behavioural requirements at scales above and below this threshold. However, we detected no differences in the responses of roe deer over a scale range of 3-20 m. Moose paths tended to pass through areas with higher basal areas of tree stems and those with deeper snow. Roe deer showed positive associations between tortuousity and the number of bedding sites and feeding sites, and a negative association between tortuousity and the total basal area of tree stems. There was a positive relationship between the numbers of bedding and defaecating sites, and a negative association between the number of bedding sites and snow depth. For moose, we found positive associations between tortuousity and the number of defaecating sites, the basal areas of both broadleaf stands and mixed conifer and broadleaf stands, and a negative association between tortuousity and the number of feeding sites. We concluded that roe deer foraged in accordance with patch-use theory, whereas moose foraged in accordance with diet-selection theory. We concluded that modifications to forestry practices to foster the populations of both species of deer will require forestry operations to be conducted on a much finer scale, and that one species can be promoted over the other by selective fine-scale habitat management.

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Section: Conservation Implicationsmentioning

confidence: 99%

Assessing microhabitat use by roe deer and moose in China

Jiang

Zhang

et al. 2009

Wildl. Res.

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“…Instead, the models predict recruitment directly from variables describing site and forest conditions. In Norway, recent development with respect to environmentally oriented practices in forest management has focused on uneven-aged forest management and selective cuttings (Nilsen, 1988;Andreassen, 1994;Hagner et al, 2001). A sustainable uneven-aged forest management relies on sufficient recruitment to the tree layer.…”

Section: Introductionmentioning

confidence: 99%

Recruitment models for different tree species in Norway

Lexerød

2005

Forest Ecology and Management

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“…From the above it is evident that the target diameter depends on the spatial arrangement of the trees (Hagner et al, 2001;Härtl et al, 2010). This has been ignored in most of the work dedicated to the estimation of target diameters.…”

Section: Introductionmentioning

confidence: 99%