Sampling design and required sample size for evaluating contamination levels of 137Cs in Japanese fir needles in a mixed deciduous forest stand in Fukushima, Japan

2017 ◽  
Vol 224 ◽  
pp. 430-435 ◽  
Author(s):  
Yurika Oba ◽  
Toshihiro Yamada
Keyword(s):  
Sample Size ◽  
Sampling Design ◽  
Deciduous Forest ◽  
Forest Stand ◽  
Mixed Deciduous Forest ◽  
Contamination Levels

Scaling leaf photosynthesis to canopy in a mixed deciduous forest. I. model description

1997 ◽  
Vol 62 ◽  
Author(s):  
R. Samson ◽  
S. Follens ◽  
R. Lemeur
Keyword(s):  
Temperature Dependence ◽  
Quercus Robur ◽  
Deciduous Forest ◽  
Growing Season ◽  
Model Description ◽  
Canopy Photosynthesis ◽  
Leaf Photosynthesis ◽  
Layer Model ◽  
Mixed Deciduous Forest ◽  
Leaf Level

A  multi-layer model (FORUG) was developed, to simulate the canopy  photosynthesis of a mixed deciduous forest during the growing season.  Measured photosynthesis parameters, for beech (Fagus  sylvatica), oak (Quercus  robur) and ash (Fraxinus  excelsior), were used as input to the model. This  information at the leaf level is then scaled up to the level of the canopy,  taking into account the radiation profiles (diffuse and direct PAR) in the  canopy, the vertical LAI distribution, the evolution of the LAI and the  photosynthesis parameters during the growing season, and the temperature  dependence of the latter parameters.

scholarly journals Sudden Phytophthora Dieback of Wild Cherry Trees in Northwest Hungary

2016 ◽  
Vol 12 (2) ◽  
pp. 117-124
Author(s):  
Judit Sárándi-Kovács ◽  
László Nagy ◽  
Ferenc Lakatos ◽  
György Sipos
Keyword(s):  
Prunus Avium ◽  
Deciduous Forest ◽  
Flood Plain ◽  
Phytophthora Species ◽  
Soil Conditions ◽  
Wild Cherry ◽  
Plain Area ◽  
Phytophthora Spp ◽  
Mixed Deciduous Forest ◽  
Cherry Trees

Abstract During a regular survey of declining forests in 2011, sudden dieback symptoms were observed on scattered wild cherry trees (Prunus avium) in a mixed deciduous forest stand, located in the flood plain area of the Rába River, in northwest Hungary. In this study, we correlated both soil conditions and presence of Phytophthora spp. to dieback of cherry trees. Two Phytophthora species, P. polonica and P. plurivora, were isolated from the rhizosphere soil of the dying trees. By contrast, only P. polonica was recovered from the necrotic tissues of symptomatic roots. Stem and root inoculation tests on cherry seedlings showed pathogenicity of both species, although P. polonica proved to be more virulent. This is the first report of natural infections of P. polonica.

scholarly journals Sylvicultural Treatment of Tropical Mixed Deciduous Forest

Nature ◽  
1950 ◽  
Vol 165 (4184) ◽  
pp. 23-24
Author(s):  
E. P. STEBBING
Keyword(s):  
Deciduous Forest ◽  
Mixed Deciduous Forest

scholarly journals Actinoplanes subglobosus sp. nov., isolated from mixed deciduous forest soil

2016 ◽  
Vol 66 (11) ◽  
pp. 4850-4855 ◽  
Author(s):  
Wipaporn Ngaemthao ◽  
Suwanee Chunhametha ◽  
Chanwit Suriyachadkun
Keyword(s):  
Forest Soil ◽  
Deciduous Forest ◽  
Mixed Deciduous Forest

Optimal design with variable cost and precision requirements

1989 ◽  
Vol 19 (12) ◽  
pp. 1591-1597
Author(s):  
Margaret Penner
Keyword(s):  
Biological Sciences ◽  
Optimal Design ◽  
Sample Size ◽  
Design Theory ◽  
Sampling Design ◽  
Unit Cost ◽  
Evaluation Process ◽  
Variable Cost ◽  
Design Flexibility ◽  
The Cost

A method for incorporating variable costs and differing precision requirements into optimal design theory is developed and discussed. In many studies and experiments, particularly in the biological sciences, the cost of each observation can vary considerably depending on the attributes of the sample. Ignoring observation costs leads to designs that maximize precision for a given sample size. However, by incorporating costs, efficiency is maximized by optimizing precision per unit cost. An example is presented that demonstrates the efficiency of a weighted optimal design in comparison with several alternatives. The weighted optimal design is most efficient at meeting the experimenter's precision objectives. Comparing designs allows the introduction of additional criteria such as design flexibility into the evaluation process. Explicitly incorporating both cost and precision in the search for a sampling design ensures time is wisely spent considering study objectives, including precision requirements.

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