scholarly journals Factors influencing the spatial pattern of the ash content of bog birch forest litter

2011 ◽  
Vol 3 ◽  
pp. 99-104 ◽  
Author(s):  
O.P. Sekretenko ◽  
T.T. Efremova ◽  
A.F. Avrova ◽  
S.P. Efremov
2017 ◽  
Vol 62 (23) ◽  
pp. 1565-1568 ◽  
Author(s):  
Can Wang ◽  
Houyuan Lu ◽  
Wanfa Gu ◽  
Naiqin Wu ◽  
Jianping Zhang ◽  
...  

Geoderma ◽  
2014 ◽  
Vol 230-231 ◽  
pp. 265-273 ◽  
Author(s):  
Beata Labaz ◽  
Bernard Galka ◽  
Adam Bogacz ◽  
Jaroslaw Waroszewski ◽  
Cezary Kabala

2015 ◽  
Vol 17 (3) ◽  
pp. 130 ◽  
Author(s):  
Achmad Yamani ◽  
Ernan Rustiadi ◽  
Widiatmaka Widiatmaka

Pidie is one of the districts in Aceh Province that has been suffering from flooding. Frequent disasters, especially flooding associated with various causative factors, need mitigation efforts. An appropriate land use planning by considering the risk aspects especially in flood is an important step. Objectives of this study are to determine the factors influencing the flood hazard, to map the areal distribution vulnerable to flood, to analyze the relations of land use in the flood hazard area, and to analyze the relations between the planned spatial pattern and the flood hazard area. ,Multicriteria analysis was used to determine the factors influencing the flood hazard. Spatial analysis was used in mapping the class of flood hazard, the relations of land use in the flood hazard area, and the relations between the planned spatial pattern and the flood hazard area. The results show that the main factors influencing flood vulnerability are land use/cover (0.408), rainfall (0.266), and slope (0.184). Based on the classification of flood vulnerability, the area can be divided into more vulnerable (37.75 %), less vulnerable (30 %), and mildly vulnerable (22.76 %). The vulnerability classes of the land use/cover are: less vulnerable (99.99 %) and more vulnerable (97.57 %) dominated by forest cover; mildly vulnerable (51.07%) and vulnerable (92.65%) dominated by mixed farming; and very vulnerable (97%) dominated by settlement. The flood vulnerability of the planned spatial pattern can be classified as follows: 95.44 % of the conservation area is dominated by less vulnerable and more vulnerable, while 71.20 % of the cultivation area can be categorized into mildly vulnerable, vulnerable and very vulnerable.


2017 ◽  
Vol 105 ◽  
pp. 1302-1308 ◽  
Author(s):  
Janka Dibdiakova ◽  
Liang Wang ◽  
Hailong Li

2014 ◽  
Vol 11 (8) ◽  
pp. 2401-2409 ◽  
Author(s):  
W. J. Fu ◽  
P. K. Jiang ◽  
G. M. Zhou ◽  
K. L. Zhao

Abstract. Spatial pattern information of carbon density in forest ecosystem including forest litter carbon (FLC) plays an important role in evaluating carbon sequestration potentials. The spatial variation of FLC density in the typical subtropical forests in southeastern China was investigated using Moran's I, geostatistics and a geographical information system (GIS). A total of 839 forest litter samples were collected based on a 12 km (south–north) × 6 km (east–west) grid system in Zhejiang province. Forest litter carbon density values were very variable, ranging from 10.2 kg ha−1 to 8841.3 kg ha−1, with an average of 1786.7 kg ha−1. The aboveground biomass had the strongest positive correlation with FLC density, followed by forest age and elevation. Global Moran's I revealed that FLC density had significant positive spatial autocorrelation. Clear spatial patterns were observed using local Moran's I. A spherical model was chosen to fit the experimental semivariogram. The moderate "nugget-to-sill" (0.536) value revealed that both natural and anthropogenic factors played a key role in spatial heterogeneity of FLC density. High FLC density values were mainly distributed in northwestern and western part of Zhejiang province, which were related to adopting long-term policy of forest conservation in these areas, while Hang-Jia-Hu (HJH) Plain, Jin-Qu (JQ) Basin and coastal areas had low FLC density due to low forest coverage and intensive management of economic forests. These spatial patterns were in line with the spatial-cluster map described by local Moran's I. Therefore, Moran's I, combined with geostatistics and GIS, could be used to study spatial patterns of environmental variables related to forest ecosystem.


Agronomy ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1164
Author(s):  
Barbara Drygaś ◽  
Joanna Depciuch ◽  
Grzegorz Zaguła ◽  
Czesław Puchalski

In this study, we tested the influence of two experimental factors on the composition of oat grain Avena sativa under the conditions of a three-year field study. The first factor (factor A) consisted of an Ascophyllum nodosum application, an organism classified in the Chromista kingdom, class Phaeophyceae, order Fucales; the second factor was the pre-sowing stimulation of seeds with a low-frequency magnetic field with known parameters. The basic organic components and mineral composition of the grain were tested. It was determined, among other things, that fertilization with algae leads to reduced ash content in oat grain, increased content of sodium, reduced calcium and iron content, and increased content of starch components (amyloses and amylopectins). The application of pre-sowing seed stimulation resulted in increased copper content in the progeny. No significant interactions could be observed between the factors in forming the chemical composition of oat grain.


1961 ◽  
Vol 93 (9) ◽  
pp. 746-759 ◽  
Author(s):  
E. D. A. Dyer ◽  
J. M. Kinghorn

Previous work by Kinghorn and Chapman (1959) has shown that in coastal British Columbia, the ambrosia beetle Trypodendron lineatum hibernates in the forest litter or duff at various distances within forest edges in the vicinity of brood logs. It was pointed out that further study was required to determine the characteristics of the optimum hibernation sites. It was mentioned that stand density, shade, aspect, slope, and the nature of the duff might be factors controlling the selection of the place of hibernation. The base of trees and the relatively deeper duff, characteristic of this situation, was reported to be the location of the larger populations of hibernating beetles although the level of population was found to vary greatly both from tree to tree and in depth within different forest edges.


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