Emma Holmström
Swedish University of Agricultural Sciences
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Publication
Featured researches published by Emma Holmström.
AMBIO: A Journal of the Human Environment | 2016
Adam Felton; Urban Nilsson; Johan Sonesson; Annika M. Felton; Jean-Michel Roberge; Thomas Ranius; Martin Ahlström; Johan Bergh; Christer Björkman; Johanna Boberg; Lars Drössler; Nils Fahlvik; Peichen Gong; Emma Holmström; E. Carina H. Keskitalo; Maartje J. Klapwijk; Hjalmar Laudon; Tomas Lundmark; Mats Niklasson; Annika Nordin; Maria Pettersson; Jan Stenlid; Anna Sténs; Kristina Wallertz
Whereas there is evidence that mixed-species approaches to production forestry in general can provide positive outcomes relative to monocultures, it is less clear to what extent multiple benefits can be derived from specific mixed-species alternatives. To provide such insights requires evaluations of an encompassing suite of ecosystem services, biodiversity, and forest management considerations provided by specific mixtures and monocultures within a region. Here, we conduct such an assessment in Sweden by contrasting even-aged Norway spruce (Piceaabies)-dominated stands, with mixed-species stands of spruce and birch (Betula pendula or B. pubescens), or spruce and Scots pine (Pinussylvestris). By synthesizing the available evidence, we identify positive outcomes from mixtures including increased biodiversity, water quality, esthetic and recreational values, as well as reduced stand vulnerability to pest and pathogen damage. However, some uncertainties and risks were projected to increase, highlighting the importance of conducting comprehensive interdisciplinary evaluations when assessing the pros and cons of mixtures.
Scandinavian Journal of Forest Research | 2016
Emma Holmström; Karin Hjelm; Ulf Johansson; Matts Karlsson; S. Valkonen; Urban Nilsson
Early management of the regenerated seedlings shapes the future stand properties. To address these issues, pre-commercial thinning (PCT) and control treatments were applied to planted Norway spruce (Picea abies L. Karst) and naturally regenerated birch (Betula pendula Roth., Betula pubescens Ehrh.) stands in forest experiments in southern Sweden (lat. 56–57 N) containing 1.1–5.5 m tall saplings. The treatments were retention of 1000 or 2000 stems ha−1 of Norway spruce, with no birch or birch at 1000 stems ha−1. Treatments were replicated with and without annual removal of birch sprouts from stumps. The periodic annual increment (PAI) over five years was calculated for total stand volume and individual trees. The mean PAI of dominant trees was significantly higher both following all PCT treatments than controls, and following low rather than high-density PCT. Birch retention did not affect growth of the dominant trees but PAI was lower in plots with uncontrolled sprouting. The PAI of birch was significantly higher in low-density Norway spruce plots than in control plots and the high-density plots. The treatment response was significant even in stands with initial heights of only 1–2 m.
Scandinavian Journal of Forest Research | 2018
Euan G. Mason; Emma Holmström; Urban Nilsson
ABSTRACT Precision and bias of a model designed to predict site index of Scots pine (P. sylvestris L.) from site variables in Sweden were tested using data from 1985 inventory plots. The model was biased and relatively imprecise (standard error = 3.7 m). A new model was constructed using a fitting subset of data, employing sums of mean monthly estimates of photosynthetically active radiation modified by local monthly climatic conditions as a primary independent variable. The best model used day-time temperature modifiers to calculate potential radiation-use efficiency. Modifiers for vapour pressure deficit and soil water did not improve the model. Elevation, distance to the sea, and phytometer indicators of nutritional fertility added small but significant improvements to the predictions. The final model had a standard error of 2.06 m for predictions of site index that ranged from 18 to 30 m at age 100. When applied to a validation subset of plots the model displayed a standard error of 2.09 m and very similar residual patterns to those observed during fitting. The new model represents a significant improvement over the older model, and further improvements may be feasible when historical climatic estimates and a higher resolution digital elevation model become available.
Forest Ecology and Management | 2012
Jörg Brunet; Pieter De Frenne; Emma Holmström; Marian Lajos Mayr
Basic and Applied Ecology | 2014
Jörg Brunet; Yulia Bukina; Per-Ola Hedwall; Emma Holmström; Goddert von Oheimb
Nordic Journal of Botany | 2016
Jörg Brunet; Per-Ola Hedwall; Emma Holmström; Emmelie Wahlgren
Forest Ecology and Management | 2016
Annika M. Felton; Per-Ola Hedwall; Matts Lindbladh; T. Nyberg; Adam Felton; Emma Holmström; Ida Wallin; Magnus Löf; Jörg Brunet
Ecological Modelling | 2017
Emma Holmström; Matts Karlsson; Urban Nilsson
Open Journal of Forestry | 2016
Emma Holmström; Per Magnus Ekö; Karin Hjelm; Matts Karlsson; Urban Nilsson
Forest Ecology and Management | 2018
Emma Holmström; Martin Goude; Oscar Nilsson; Annika Nordin; Tomas Lundmark; Urban Nilsson