scholarly journals Prostorna analiza tala i utjecaj na produktivnost u gospodarskoj jedinici Mužljanski rit

2021 ◽  
Vol 145 (9-10) ◽  
pp. 456-457
Author(s):  
Zoran Galić ◽  
Alen Kiš ◽  
Irina V. Andreeva ◽  
Zoran Novačić ◽  
Anđelina Gavranović ◽  
...  
Keyword(s):  
Forest Management ◽  
Soil Depth ◽  
Soil Types ◽  
Soil Productivity ◽  
Spatial Unit ◽  
Digital Elevation ◽  
Soil Units ◽  
Elevation Model ◽  
Different Characteristics ◽  
Soil Unit

The paper presents analysis of soil spatial distribution and productivity of Populus x euramericana I-214 forest cultures in forest management unit (hereinafter: FMU) Muzljanski rit. Soil cover in the FMU is heterogeneous in relation to position and altitude in floodplain. Analysis were conducted on eugley and humogley soil types. Eugley, soil type, was delineated according to physiologically active soil depth as α, β or β/γ gley soils and humogley was delineated as one soil unit. Cultures of the poplar clones Populus x euramericana I-214 are found on at least two but usually more different site types within the same forest management section (18.43 %). Single forest management section is a by definition a single forest spatial unit having similar ecologic factors. Aim of our research was to enable consistent forest section delineation, based on the interaction of soil productivity properties and distribution as well as Populus x euramericana I-214 productivity dataset. Based on our anaysis (spatial analysis of raster layers of soil systematic unit distribution-soil subunit, digital elevation model and productivity according to inner delineation of FMU Muzljanski rit), the resuts show eugley share in lower systematic soil unit. The results show contribution of lower systematic units of eugley in forest managemet section/culture. We found a raising trend of α and β-gley, as well as humogley. On one side the higher contribution of this sistematic units indicates reduction in the forest culture yield. On the other side higher contribution of β/γ gley indicates an increase of culture yeald. The Populus x euramericana I-214 cultures are spatialy concentrated, extending over soil units with different characteristics, pointing in alternative economicaly justified section delineation, based on the soil types.

scholarly journals Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
J. Fernandes ◽  
C. Bateira ◽  
A. Costa ◽  
B. Fonseca ◽  
R. Moura
Keyword(s):  
Electrical Resistivity ◽  
Standard Deviation ◽  
Spatial Variation ◽  
Soil Depth ◽  
Flow Direction ◽  
Statistical Correlation ◽  
Average Value ◽  
Digital Elevation ◽  
Elevation Model ◽  
Soil Electrical Resistivity

AbstractThe construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D∞ (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D∞ algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D∞) depending on the soil depth.

scholarly journals Digital soil mapping using multiple logistic regression on terrain parameters in southern Brazil

2006 ◽  
Vol 63 (3) ◽  
pp. 262-268 ◽  
Author(s):  
Elvio Giasson ◽  
Robin Thomas Clarke ◽  
Alberto Vasconcellos Inda Junior ◽  
Gustavo Henrique Merten ◽  
Carlos Gustavo Tornquist
Keyword(s):  
Land Use Planning ◽  
Soil Types ◽  
Sources Of Information ◽  
Topographic Wetness Index ◽  
Digital Elevation ◽  
Terrain Parameters ◽  
Logistic Regressions ◽  
Elevation Model ◽  
Soil Surveys ◽  
Soil Distribution

Soil surveys are necessary sources of information for land use planning, but they are not always available. This study proposes the use of multiple logistic regressions on the prediction of occurrence of soil types based on reference areas. From a digitalized soil map and terrain parameters derived from the digital elevation model in ArcView environment, several sets of multiple logistic regressions were defined using statistical software Minitab, establishing relationship between explanatory terrain variables and soil types, using either the original legend or a simplified legend, and using or not stratification of the study area by drainage classes. Terrain parameters, such as elevation, distance to stream, flow accumulation, and topographic wetness index, were the variables that best explained soil distribution. Stratification by drainage classes did not have significant effect. Simplification of the original legend increased the accuracy of the method on predicting soil distribution.

scholarly journals Landscape elements and river chemistry as affected by river regulation – a 3-D perspective

2009 ◽  
Vol 13 (9) ◽  
pp. 1597-1606 ◽  
Author(s):  
E. Smedberg ◽  
C. Humborg ◽  
M. Jakobsson ◽  
C.-M. Mörth
Keyword(s):  
Hot Spots ◽  
Deciduous Forest ◽  
Soil Depth ◽  
River Regulation ◽  
Vital Role ◽  
Alluvial Deposits ◽  
River Catchment ◽  
Biogeochemical Fluxes ◽  
Digital Elevation ◽  
Elevation Model

Abstract. We tested the hypothesis whether individual land classes within a river catchment contribute equally to river loading with dissolved constituents or whether some land classes act as "hot spots" to river loading and if so, are these land classes especially affected by hydrological alterations. The amount of land covered by forests and wetlands and the average soil depth (throughout this paper soil refers to everything overlying bedrock i.e. regolith) of a river catchment explain 58–93% of the variability in total organic carbon (TOC) and dissolved silicate (DSi) concentrations for 22 river catchments in Northern Sweden. For the heavily regulated Luleälven, with 7 studied sub-catchments, only 3% of the headwater areas have been inundated by reservoirs, some 10% of the soils and aggregated forest and wetland areas have been lost due to damming and further hydrological alteration such as bypassing entire sub-catchments by headrace tunnels. However, looking at individual forest classes, our estimates indicate that some 37% of the deciduous forests have been inundated by the four major reservoirs built in the Luleälven headwaters. These deciduous forest and wetlands formerly growing on top of alluvial deposits along the river corridors forming the riparian zone play a vital role in loading river water with dissolved constituents, especially DSi. A digital elevation model draped with land classes and soil depths which highlights that topography of various land classes acting as hot spots is critical in determining water residence time in soils and biogeochemical fluxes. Thus, headwater areas of the Luleälven appear to be most sensitive to hydrological alterations due to the thin soil cover (on average 2.7–4.5 m) and only patchy appearance of forest and wetlands that were significantly perturbed. Hydrological alterations of these relatively small headwater areas significantly impacts downstream flux of dissolved constituents and their delivery to receiving water bodies.

Archaeological Predictive Model – Manning Diversified Forest Products Ltd., P15 Forest Management Unit

2014 ◽  
Vol 90 (04) ◽  
pp. 456-461
Keyword(s):  
Forest Management ◽  
Predictive Model ◽  
Forest Products ◽  
High Potential ◽  
Management Unit ◽  
Archaeological Sites ◽  
Multi Criteria Evaluation ◽  
Digital Elevation ◽  
Elevation Model ◽  
Data Layers

This document describes an archaeological predictive model prepared for Manning Diversified Forest Products Ltd. (MDFP) of Alberta. The model refers to the P15 Forest Management Unit (FMU) and is for use in conjunction with their Historical Resource Management System. Multi-criteria evaluation was used to create the model. The modeling process involved the incorporation of data layers including Alberta Vegetation Inventory (AVI) layers from MDFP, a 25-m digital elevation model (DEM), topographic features, a cost raster of values indicating ease of travel, and terrain roughness. The FMU was stratified into two areas to ensure greater internal similarity. The model identified high-potential areas, in which archaeological sites can be expected, and no-potential areas, in which they would be expected to be absent. The next step should be to test the accuracy of the model. Following an initial testing period, changes may be made to increase precision. Increases in accuracy will result from verifications in the accuracy of the predictions, archaeological sites being found in areas identified in the model as having high potential and no sites found in areas of no potential. Increases in the accuracy of the model will also result with the incorporation of better resolution base mapping data.

scholarly journals Landscape elements and river chemistry as affected by river regulation – a 3-D perspective

2008 ◽  
Vol 5 (6) ◽  
pp. 3355-3382
Author(s):  
E. Smedberg ◽  
C. Humborg ◽  
M. Jakobsson ◽  
C.-M. Mörth
Keyword(s):  
Hot Spots ◽  
Deciduous Forest ◽  
Soil Depth ◽  
River Mouth ◽  
River Regulation ◽  
Vital Role ◽  
Alluvial Deposits ◽  
River Catchment ◽  
Digital Elevation ◽  
Elevation Model

Abstract. We tested the hypothesis whether individual land classes within a river catchment contribute equally to river loading with dissolved constituents or whether some land classes act as "hot spots" to river loading and if so, are these land classes especially affected by hydrological alterations. The amount of land covered by forests and wetlands and the average soil depth of a river catchment explain 58–93% of the variability in total organic carbon (TOC) and dissolved silicate (DSi) concentrations for 22 river catchments in Northern Sweden. Whereas only 3% of the headwater areas of the Luleälven have been inundated by the creation of reservoirs, some 10% of the soils and aggregated forest and wetland areas have been lost due to damming and further hydrological alteration such as bypassing entire sub-catchments by headrace tunnels. However, looking at individual forest classes, our estimates indicate that some 37% of the deciduous forests have been inundated by the four major reservoirs built in the Luleälven headwaters. These deciduous forest and wetlands formerly growing on top of alluvial deposits along the river corridors forming the riparian zone play a vital role in loading river water with dissolved constituents, especially DSi. A digital elevation model draped with land classes and soil depths which highlights that topography of various land classes acting as hot spots is critical in determining water residence time in soils and biogeochemical fluxes. Thus, headwater areas of the Luleälven appear to be most sensitive to hydrological alterations due to the thin soil cover (on average 2.7–4.5 m) and only patchy appearance of forest and wetlands that were significantly perturbed. Moreover, since these headwater areas are characterized often by high specific discharge, this relatively minor change in the landscape when compared to the entire river catchment may indeed explain the significant lower fluxes at the river mouth.

STUDY OF THE LANDSLIDE MORPHOLOGY BASED ON GNSS DATA AND AIRBORNE SOUNDING (ON THE EXAMPLE OF A SECTION OF THE PROTVA RIVER VALLEY)

2018 ◽  
Vol 12 (5-6) ◽  
pp. 50-57 ◽  
Author(s):  
I. S. Voskresensky ◽  
A. A. Suchilin ◽  
L. A. Ushakova ◽  
V. M. Shaforostov ◽  
A. L. Entin ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
Geodetic Network ◽  
Aerial Survey ◽  
River Valley ◽  
Ease Of Use ◽  
Digital Elevation ◽  
Loose Deposits ◽  
Positioning Method ◽  
Landslide Body ◽  
Elevation Model

To use unmanned aerial vehicles (UAVs) for obtaining digital elevation models (DEM) and digital terrain models (DTM) is currently actively practiced in scientific and practical purposes. This technology has many advantages: efficiency, ease of use, and the possibility of application on relatively small area. This allows us to perform qualitative and quantitative studies of the progress of dangerous relief-forming processes and to assess their consequences quickly. In this paper, we describe the process of obtaining a digital elevation model (DEM) of the relief of the slope located on the bank of the Protva River (Satino training site of the Faculty of Geography, Lomonosov Moscow State University). To obtain the digital elevation model, we created a temporary geodetic network. The coordinates of the points were measured by the satellite positioning method using a highprecision mobile complex. The aerial survey was carried out using an unmanned aerial vehicle from a low altitude (about 40–45 m). The processing of survey materials was performed via automatic photogrammetry (Structure-from-Motion method), and the digital elevation model of the landslide surface on the Protva River valley section was created. Remote sensing was supplemented by studying archival materials of aerial photography, as well as field survey conducted immediately after the landslide. The total amount of research results made it possible to establish the causes and character of the landslide process on the study site. According to the geomorphological conditions of formation, the landslide refers to a variety of landslideslides, which are formed when water is saturated with loose deposits. The landslide body was formed with the "collapse" of the blocks of turf and deluvial loams and their "destruction" as they shifted and accumulated at the foot of the slope.

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