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Research article
article id 213,
category
Research article
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It is widely believed that coming into contact with forest environments is somehow beneficial to human well-being and comfort. In Japan, “Shinrin-yoku” (taking in the atmosphere of a forest) has been proposed to be a relaxation activity associated with forest recreation. The purpose of this study was to examine the physiological effects of forest recreation on the autonomic nervous activity. The subjects were twelve male university students (21.8 ± 0.8 years old). On the first day of the experiment, six subjects were sent to a forest area, and the other six to a city area. On the second day, each subject was sent to the area he did not visit on the first day as a cross check. The subjects walked (15 minutes) around their assigned areas before noon, and sat on chairs viewing (15 minutes) the landscapes of their assigned areas in the afternoon. Heart rate variability (HRV), blood pressure, and pulse rate were measured as physiological indices. Measurements were taken at the place of accommodation in the morning, before and after walking, and before and after viewing at their assigned field areas. Pulse rate, diastolic blood pressure and LF/(LF+HF) (LF – low frequency, HF – high frequency) components of HRV were significantly lower in the forest area than in the city area. HF components of HRV tended to be higher in the forest than in the city. In conclusion, the results of the physiological measurements show that forest recreation enabled effective relaxation in people, both of the mind and body.
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Park,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
bjpark@faculty.chiba-u.jp
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Tsunetsugu,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
yt@nn.jp
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Kasetani,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
tk@nn.jp
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Morikawa,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
tm@nn.jp
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Kagawa,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
tk@nn.jp
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Miyazaki,
Chiba University, Center for Environment, Health and Field Sciences, Kashiwa-no-ha 6-2-1, 277-0882 Kashiwa, Chiba, Japan
E-mail:
ym@nn.jp
article id 212,
category
Research article
Sandhya Samarasinghe.
(2009).
Exploration of fracture dynamics properties and predicting fracture toughness of individual wood beams using neural networks.
Silva Fennica
vol.
43
no.
2
article id 212.
https://doi.org/10.14214/sf.212
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In this study, the time to crack initiation (Tinit), duration of crack propagation (Tfrac), crack initiation stress, peak stress as well as crack speed and fracture toughness were investigated for three Rates of Loading (ROL) and four sizes of notched wood beams using high-speed video imaging and neural networks. Tinit was consistent for all volumes and the average Tinit was nonlinearly related to volume and ROL. For the smallest ROL, there was a distinct volume effect on Tinit and the effect was negligble at the largest ROL. However, the stress at crack initiation was not consistent. Contrasting these, Tfrac for all volumes appeared to be highly variable but the peak stress carried prior to catastrophic failure was consistent. The crack propagation was a wave phenomenon with positive and negative (crack closure) speeds that varied with the ROL. As accurate estimation of crack initiation load (or stress) and its relationship to peak load (or stress) is important for determining fracture toughness, Artificial Neural Networks (ANN) models were developed for predicting them from volume, Young’s modulus, face and grain angles, density, moisture content and ROL. Models for crack initiation load and peak load showed much higher predictive power than those for the stresses with correlation coefficients of 0.85 and 0.97, respectively, between the actual and predicted loads. Neural networks were also developed for predicting fracture toughness of individual wood specimens and the best model produced a statistically significant correlation of 0.813 between the predicted and actual fracture toughness on a validation dataset. The inputs captured 62% of variability of fracture toughness. Volume and Young’s modulus were the top two contributing variables with others providing lesser contributions.
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Samarasinghe,
Centre for Advanced Computational Solutions (C-fACS), Lincoln University, Canterbury, New Zealand
E-mail:
sandhya.samarasinghe@lincoln.ac.nz
article id 211,
category
Research article
Timo Pukkala.
(2009).
Population-based methods in the optimization of stand management.
Silva Fennica
vol.
43
no.
2
article id 211.
https://doi.org/10.14214/sf.211
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In Finland, the growth and yield models for tree stands are simulation programs that consist of several sub-models. These models are often non-smooth and non-differentiable. Direct search methods such as the Hooke-Jeeves algorithm (HJ) are suitable tools for optimizing stand management with this kind of complicated models. This study tested a new class of direct search methods, namely population-based methods, in the optimization of stand management. The tested methods were differential evolution, particle swarm optimization, evolution strategy, and the Nelder-Mead method. All these methods operate with a population of solution vectors, which are recombined and mutated to obtain new candidate solutions. The management schedule of 719 stands was optimized with all population-based methods and with the HJ method. The population-based methods were competitive with the HJ method, producing 0.57% to 1.74% higher mean objective function values than HJ. On the average, differential evolution was the best method, followed by particle swarm optimization, evolution strategy, and Nelder-Mead method. However, differences between the methods were small, and each method was the best in several stands. HJ was alone the best method in 7% of stands, and a population based method in 3% (Nelder-Mead) to 29% (differential evolution) of stands. All five methods found the same solution in 18% of stands.
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Pukkala,
University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
E-mail:
timo.pukkala@joensuu.fi
article id 210,
category
Research article
Juha Heiskanen,
Markku Lahti,
Jaana Luoranen,
Risto Rikala.
(2009).
Nutrient loading has a transitory effect on the nitrogen status and growth of outplanted Norway spruce seedlings.
Silva Fennica
vol.
43
no.
2
article id 210.
https://doi.org/10.14214/sf.210
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In recent years increased fertilization provided to tree seedlings in the nursery in the previous autumn has been introduced in order to promote good outplanting performance. In this paper this nutrient loading has been studied in order to determine how the increased seedling nutrient status with unaffected seedling size affects both the growth and the nutrient concentration, content and uptake of two-year-old Norway spruce container seedlings (Picea abies (L.) Karsten) after outplanting. Seedling development was monitored for three years at two contrasting soil fertility levels on a sandy test field in two planting years and on one natural forest outplanting site in central Finland. Nutrient loading was shown to increase shoot and root growth in a poor fertility soil during the first growing season after planting, while, after the first growing season, nutrient loading was not found to affect seedling performance. However, although nutrient loading cannot compensate for the availability of nutrients to the seedlings from the soil, it may provide an additional input for fast plantation establishment on poorer sites during the first crucial growing season after outplanting.
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Heiskanen,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
juha.heiskanen@metla.fi
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Lahti,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
ml@nn.fi
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Luoranen,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
jl@nn.fi
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Rikala,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
rr@nn.fi
article id 209,
category
Research article
Jaana Luoranen,
Kyösti Konttinen,
Risto Rikala.
(2009).
Frost hardening and risk of a second flush in Norway spruce seedlings after an early-season short-day treatment.
Silva Fennica
vol.
43
no.
2
article id 209.
https://doi.org/10.14214/sf.209
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There have been years in Finland when container seedlings of Norway spruce (Picea abies (L.) Karsten) planted in the summer have been damaged by early-autumn frosts. For August and September plantings, the seedlings can be hardened by means of short-day (SD) treatment, but little information is available about its usability for earlier plantings. We studied the effects of early-season SD treatment on the frost hardiness and risk of a second flush of Norway spruce seedlings. In three successive years, second-year seedlings were grown in a greenhouse or outdoors in the spring and early summer and then subjected to two or three-week SD treatment beginning on the second, third, or fourth week of June. We monitored the height growth cessation, bud formation, and frost hardiness of the seedlings in the nursery. All SD treatments made the height growth cease, but the risk of a second flush increased if the temperature sum was less than 300 d.d. before the beginning of the SD treatment or more than 450 d.d. between the end of the treatment and mid-August. Clearly, then, SD treatment reduced the risk of a second flush in seedlings that had been grown in a greenhouse in the spring. Early-season SD treatment increased the frost hardiness of both needles and stems for late July to early September in comparison with untreated seedlings. Later in the autumn, however, the differences disappeared. Before recommending the use of early-season SD-treated seedlings for summer planting, the method has to be tested in practical field conditions.
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Luoranen,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
jaana.luoranen@metla.fi
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Konttinen,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
kk@nn.fi
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Rikala,
The Finnish Forest Research Institute, Suonenjoki Research Unit, FI-77600 Suonenjoki, Finland
E-mail:
rr@nn.fi
article id 208,
category
Research article
Mikko Räisänen,
Tapani Repo,
Tarja Lehto.
(2009).
Cold acclimation of Norway spruce roots and shoots after boron fertilization.
Silva Fennica
vol.
43
no.
2
article id 208.
https://doi.org/10.14214/sf.208
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Boron deficiency, manifested as shoot dieback, is a problem in conifer stands growing on soils with high nitrogen availability in Fennoscandia. Earlier observations on Norway spruce (Picea abies L. Karst.) suggest that freezing tolerance is decreased by boron deficiency. Here, the effect of boron fertilization on cold acclimation of Norway spruce was studied in a young stand with initially low boron status two years after fertilization. Buds, stems, needles and roots were collected at five sampling times during cold acclimation and subsequently exposed to series of freezing temperatures. Lethal temperatures of organs were assessed by electrolyte leakage method (EL) and visual scoring of damage (VS). Freezing tolerance of buds was measured also by differential thermal analysis (DTA). The mean boron (B) concentration in needles was 4 mg kg–1 in unfertilized and 21 mg kg–1 in B-fertilized trees while critical level of B deficiency is considered to be 5 mg kg–1. The risk for increased freezing injuries in the low-B trees was not evident since all trees achieved cold hardiness that would be sufficient in central Finland. At two sampling times out of five, shoots or stem of B-fertilized trees were slightly more freezing tolerant than non-fertilized trees. However, the present study does not give strong evidence for the hypothesis that decreased freezing tolerance in B deficiency would be a triggering factor for leader dieback in Norway spruce at the B levels studied.
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Räisänen,
University of Joensuu, Faculty of Forest Sciences, P.O.Box 111, FI-80101 Joensuu, Finland; (present address), FAForest, FI-83480 Ahonkylä, Finland
E-mail:
mr@nn.fi
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Repo,
Finnish Forest Research Institute, Joensuu Unit, P.O. Box 68, FI-80101 Joensuu, Finland
E-mail:
tr@nn.fi
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Lehto,
University of Joensuu, Faculty of Forest Sciences, P.O.Box 111, FI-80101 Joensuu, Finland
E-mail:
tarja.lehto@joensuu.fi
article id 207,
category
Research article
Mats T. Olsson,
Maria Erlandsson,
Lars Lundin,
Torbjörn Nilsson,
Åke Nilsson,
Johan Stendahl.
(2009).
Organic carbon stocks in Swedish Podzol soils in relation to soil hydrology and other site characteristics.
Silva Fennica
vol.
43
no.
2
article id 207.
https://doi.org/10.14214/sf.207
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Site characteristics influence soil organic carbon (SOC) stocks. In Podzols under Swedish forest land, SOC stocks were related to latitude, altitude, soil hydrological class categorized by mean groundwater level, mean annual precipitation, temperature sum during the growing season, total annual nitrogen (N) deposition and site capacity. SOC stocks were determined for the O-horizon and for total soil (O-horizon + mineral soil to a depth of 50 cm). Data from the Swedish National Forest Soil Inventory 1993–2001 were used (1477 field plots). The O-horizon was sampled with a core sampler and carbon (C) stocks were determined. For the mineral soil layers the SOC stock was calculated based on the SOC concentrations, bulk density and content of rock fragments. The results showed that the overall mean SOC stock was 2.8 and 8.2 kg C m–2 for O-horizon and total soil, respectively. Soil hydrological class strongly affected SOC stocks, which increased from on average 6.7 kg C m–2 at dry sites to 9.7 kg C m–2 at slightly moist sites. Corresponding values for the O-horizon were 2.0 to 4.4 kg C m–2. The correlation coefficients for the linear relationship between SOC stock and site characteristics were highest for N deposition, which explained up to 25% of variation, and latitude, which explained up to 20% of variation. Altitude had the lowest degree of explanation.
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Olsson,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
mto@nn.se
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Erlandsson,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
me@nn.se
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Lundin,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
ll@nn.se
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Nilsson,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
torbjorn.nilsson@mark.slu.se
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Nilsson,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
an@nn.se
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Stendahl,
Swedish University of Agricultural Sciences, Dept of Soil and Environment, Uppsala, Sweden
E-mail:
js@nn.se
article id 206,
category
Research article
Qiaoying Zhang,
Yunchun Zhang,
Shaolin Peng,
Eshetu Yirdaw,
Ning Wu.
(2009).
Spatial structure of alpine trees in Mountain Baima Xueshan on the southeast Tibetan Plateau.
Silva Fennica
vol.
43
no.
2
article id 206.
https://doi.org/10.14214/sf.206