scholarly journals Factors influencing distribution of different Al forms in forest soils of the Jizerské hory Mts.

2006 ◽  
Vol 52 (Special Issue) ◽  
pp. S87-S92 ◽  
Author(s):  
L. Mládková ◽  
L. Borůvka ◽  
O. Drábek ◽  
R. Vašát
Keyword(s):  
Forest Soils ◽  
Forest Cover ◽  
Soil Characteristics ◽  
Mineral Horizon ◽  
Forest Cover Type ◽  
Altitude Distribution ◽  
Factors Influencing ◽  
Anthropic Activity ◽  
Stand Conditions ◽  
Main Factor

Soil acidification processes are the main factor influencing the distribution of different Al forms in forest soils. The intensity of these processes is given by different stand conditions and anthropic activity. This paper describes the influence of four selected stand factors on the distribution of basic soil characteristics and two Al forms in forest soils of the Jizerské hory Mts. Altitude, liming, soil type and forest cover type are studied as selected factors. Distribution of most soil characteristics in the organic horizon, including organically bound Al, is influenced by the altitude. Distribution of mobile Al form is mainly influenced by liming. In the mineral horizon, no decisive factor affecting the distribution of variables was found. Cartograms of spatial distribution of pH, mobile Al form and total Ca content documenting their spatial relationships are shown.

scholarly journals Effects of Windthrows on Forest Cover, Tree Growth and Soil Characteristics in Drought-Prone Pine Plantations

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 817
Author(s):  
Jesús Julio Camarero ◽  
Michele Colangelo ◽  
Antonio Gazol ◽  
Manuel Pizarro ◽  
Cristina Valeriano ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Forest Cover ◽  
Normalized Difference Vegetation Index ◽  
Pinus Halepensis ◽  
Soil Characteristics ◽  
Tree Cover ◽  
Mediterranean Forests ◽  
Soil Microbial Community Structure ◽  
Soil Features ◽  
Disturbance Intensity

Windstorms are forest disturbances which generate canopy gaps. However, their effects on Mediterranean forests are understudied. To fill that research gap, changes in tree, cover, growth and soil features in Pinus halepensis and Pinus sylvestris plantations affected by windthrows were quantified. In each plantation, trees and soils in closed-canopy stands and gaps created by the windthrow were sampled. Changes in tree cover and radial growth were assessed by using the Normalized Difference Vegetation Index (NDVI) and dendrochronology, respectively. Soil features including texture, nutrients concentration and soil microbial community structure were also analyzed. Windthrows reduced tree cover and enhanced growth, particularly in the P. halepensis site, which was probably more severely impacted. Soil characteristics were also more altered by the windthrow in this site: the clay percentage increased in gaps, whereas K and Mg concentrations decreased. The biomass of Gram positive bacteria and actinomycetes increased in gaps, but the biomass of Gram negative bacteria and fungi decreased. Soil gaps became less fertile and dominated by bacteria after the windthrow in the P. halepensis site. We emphasize the relevance of considering post-disturbance time recovery and disturbance intensity to assess forest resilience within a multi-scale approach.

Stratification approach for forest cover type and landuse mapping using IRS-1A LISS-II data — A case study

1994 ◽  
Vol 22 (1) ◽  
pp. 21-29 ◽  
Author(s):  
S. Sudhakar ◽  
R. K. Das ◽  
D. Chakraborty ◽  
B. K. Bardhan Roy ◽  
A. K. Raha ◽  
...  
Keyword(s):  
Forest Cover ◽  
Forest Cover Type ◽  
Cover Type

scholarly journals Stream flow regime of springs in the Mantiqueira Mountain Range region, Minas Gerais State

CERNE ◽  
2014 ◽  
Vol 20 (3) ◽  
pp. 343-349 ◽  
Author(s):  
Alisson Souza de Oliveira ◽  
Antônio Marciano da Silva ◽  
Carlos Rogério de Mello ◽  
Geovane Junqueira Alves
Keyword(s):  
Land Cover ◽  
Flow Regime ◽  
Surface Runoff ◽  
Stream Flow ◽  
Forest Cover ◽  
Soil Characteristics ◽  
Specific Yield ◽  
Mountain Range ◽  
Recharge Area ◽  
Streamflow Regime

The stream flow regime of four springs located in the Mantiqueira Mountain Range region (MG) was evaluated and correlated to the respective recharge area, relief characteristics, land cover and physical and hydrologic soil characteristics. The streamflow regime was characterized by monitoring of discharges, calculating the surface runoff and specific discharge and by modeling the discharge over the recession period using the Maillet method. As all recharge areas have similar relief the effect of it on the streamflow was not possible to identify. Analysis included determining the effect of drainage area size, soil characteristics and land cover on the indicators of the streamflow regime. Size of the recharge area had a positive influence on the indicators mean discharge and surface runoff volume and on the regulation of the streamflow regime (springs L4 and L1). The spring under the smallest area of influence provided the worst results for the above mentioned indicators (spring L3). The effect of forest cover (natural and planted), associated with soil characteristics, was evidenced by the indicators surface runoff (in depth) and specific yield, both independent of the recharge area size (springs L4 and L2). The interaction of area size, soil characteristics and forest cover (natural and planted) provided the best results for all indicators of streamflow regime in the springs studied in the Mantiqueira Mountain Range (spring L4).

scholarly journals ABOVE GROUND TREES BIOMASS OF LORE LINDU NATIONAL PARK-CENTRAL SULAWESI : A STUDY COMBINING FIELD MEASUREMENT AND REMOTE SENSING

Agromet ◽  
2010 ◽  
Vol 24 (1) ◽  
pp. 33
Author(s):  
Naimatu Solicha ◽  
Tania June ◽  
M. Ardiansyah ◽  
Antonius B. W.
Keyword(s):  
Remote Sensing ◽  
Carbon Stock ◽  
Field Data ◽  
Forest Cover ◽  
Satellite Image ◽  
Forest Biomass ◽  
Allometric Equation ◽  
Natural Forest ◽  
Forest Cover Type ◽  
Cover Type

Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.

scholarly journals KAJIAN PRODUKSI JAGUNG DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA (STUDI KASUS DI KABUPATEN SELUMA PROPINSI BENGKULU)

2010 ◽  
Vol 9 (1) ◽  
pp. 125-139
Author(s):  
Indra Cahyadinata ◽  
Risqie Iryansyah
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Stratified Random Sampling ◽  
Land Area ◽  
Corn Production ◽  
Production Factors ◽  
Factors Influencing ◽  
Input And Output ◽  
Farmer Behaviour ◽  
Main Factor

This research was aimed to define the corn farmer's behaviour  in Seluma Regency of Bengkulu  Province on inputs and outputs allocation, and determine  of production factors influencing  corn production.  The research was located in three villages in Seluma Regency, namely Riak Siabun, Sido Luhur,  and Sumber Arum. Sixty two farmers were selected using stratified random sampling  method. In this research, the analitical description was used to analyse farmer  behaviour. In order to determine the input and output allocation of the corn productions,  this research used the function of production  Cobb-Douglas  approach. The result showed found that the behaviour of the farmers to choose corn was due to the corn was easy to sell and cultivate. However, the farmers  found  that it  is  hard to access some production factors,  such as seed, fertilizer,  and pesticide. Their prices were also high, and these were contradicted  to the product's  price which was low. Tis research also found that land area is the main factor that has a significant  impacts on production  while other factors were not.Key words: corn, determined factors, production.

scholarly journals Estimates of Down Woody Materials on Fort A.P. Hill, Virginia

2008 ◽  
Vol 32 (2) ◽  
pp. 53-59 ◽  
Author(s):  
Jason R. Applegate
Keyword(s):  
Coarse Woody Debris ◽  
Forest Inventory ◽  
Forest Cover ◽  
Forest Type ◽  
Wildland Fire ◽  
Woody Debris ◽  
Forest Cover Type ◽  
Cover Type ◽  
Forest Cover Types ◽  
Structure Class

Abstract An inventory of down woody materials (DWM) was conducted on Fort A.P. Hill, Virginia, to develop a baseline of DWM abundance and distribution to assist in wildland fire management. Estimates of DWM are necessary to develop accurate assessments of wildfire hazard, model wildland fire behavior, and establish thresholds for retaining DWM, specifically CWD (coarse woody debris), as a structural component of forest ecosystems. DWM were sampled by forest type and structure class using US Forest Service, Forest Inventory and Analysis (FIA) field procedures. DWM averaged 12–16 tn/ac depending on forest cover type and structure class. Coarse woody debris (CWD) averaged 2.7–13.0 tn/ac depending on forest cover type and structure class. CWD comprised more than 70% of DWM across all forest cover types and structure classes. Fine woody debris (FWD) averaged 0.05–3.2 tn/ac depending on fuel hour class, forest cover type, and structure class. DWM was consistently higher in mature (sawtimber) forests than in young (poletimber) forests across all forest cover types, attributed to an increased CWD component of DWM. The variability associated with DWM suggests that obtaining robust estimates of CWD biomass will require a higher sampling intensity than FWD because of its nonuniform distribution in forest systems. FIA field procedures for tallying and quantifying DWM were practical, efficient, and, subsequently, included as permanent metrics in Fort A.P. Hill's Continuous Forest Inventory program.

Factors influencing nitrogen retention in forest soils

1991 ◽  
Vol 72 (1) ◽  
pp. 1-21 ◽  
Author(s):  
C.M.S. Duckworth ◽  
M.S. Cresser
Keyword(s):  
Forest Soils ◽  
Nitrogen Retention ◽  
Factors Influencing

Quantitative assessment of radiocaesium bioavailability in forest soils

2000 ◽  
Vol 88 (9-11) ◽  
Author(s):  
A.V. Konoplev ◽  
R. Avila ◽  
A.A. Bulgakov ◽  
K.-J. Johanson ◽  
I.V. Konopleva ◽  
...  
Keyword(s):  
Forest Soils ◽  
Quantitative Assessment ◽  
Forest Ecosystems ◽  
Soil Characteristics ◽  
Selectivity Coefficient ◽  
Site Specific ◽  
Experimental Procedure ◽  
Availability Factor ◽  
Quantitative Characterisation ◽  
Concentration Factors

A method for quantitative characterisation of the radiocaesium availability to plants in forest ecosystems has been developed. For this purpose an expression has been proposed to calculate the radiocaesium availability factor in soils, which is a combination of key soil characteristics: radiocaesium exchangeability, exchangeable calcium in soil and effective selectivity coefficient. The experimental dependencies of the radiocaesium soil to plant concentration factors for fern and bilberry, on the availability factor calculated by the above equation were satisfactory described by linear function. The advantage of this method to characterise bioavailability of radiocaesium and to estimate site-specific values of concentration factor is that the necessary soil characteristics may be taken from the reference literature, evaluated by experts or determined with a simple experimental procedure. The method can be used in development of a radioecological Geographic Information Systems.

Habitat–abundance relationships of the earthworm Eisenia rosea (Savigny) (Lumbricidae), using principal component regression analysis

1994 ◽  
Vol 72 (7) ◽  
pp. 1354-1361 ◽  
Author(s):  
Qiwei Liang ◽  
Alan J. Thomson
Keyword(s):  
Regression Analysis ◽  
Principal Component Regression ◽  
Principal Component ◽  
Soil Bulk Density ◽  
Soil Characteristics ◽  
Environmental Data ◽  
Data Matrix ◽  
Step Procedure ◽  
Principal Component Regression Analysis ◽  
Main Factor

Principal component regression analysis was used to investigate the relationships between the abundance of the earthworm Eisenia rosea and soil characteristics at two Ontario locations. To this end we summarized our environmental data matrix with principal component analysis and then used the first several principal components in a multiple regression analysis. This two-step procedure remedies problems associated with multicollinearity among our environmental variables. At one location, moisture was the main factor correlating with the abundance of E. rosea. At the other location, because high soil bulk density can compensate for low moisture, E. rosea abundance did not correlate with moisture.

Sign in / Sign up

Export Citation Format

Share Document