scholarly journals Effect of Land Cover Differences on Soil Infiltration at UB Forest, Karangploso Malang

2022 ◽  
Vol 9 (1) ◽  
pp. 131-139
Author(s):  
Kurniawan Sigit Wicaksono ◽  
Istika Nita ◽  
Aditya Nugraha Putra ◽  
W Widianto ◽  
Fikri Hadi Rusdianto ◽  
...  
Keyword(s):  
Organic Matter ◽  
Land Cover ◽  
Plant Density ◽  
Particle Density ◽  
Basal Area ◽  
Influential Factor ◽  
Soil Porosity ◽  
Observation Data ◽  
Soil Infiltration ◽  
Production Forests

Changes in land cover of forest provide different soil organic matter which affects soil infiltration through soil porosity. The purpose of this study was to determine the effect of differences in land cover on soil infiltration at UB Forest of Karangploso Malang. The study area was divided into six plots, namely protected area plots, mahogany production forests, pine production forests intercropped with coffee plants that have three different canopy densities (tenuous, sufficient and tight) and pine production forests intercropped with seasonal crops. Field observations were carried out to analyze the characteristics of vegetation with a sample plot measuring 20x20 m. The parameters observed were canopy density, basal area, plant density, litter and understorey. The taking of soil samples was done by making minipit which was repeated four times; the parameters observed were organic matter, texture, bulk density, particle density and soil porosity. Infiltration measurements were carried out with two methods i.e. single ring infiltrometer and rainfall simulator, each of which was repeated three times. Observation data were subjected to Analysis of Variance (ANOVA) and followed by with LSD test with a significant level of 5%. The results showed that differences in land cover can affect soil infiltration (F-count > F-table 3.33). The effect of land cover on infiltration occurs through litter which is a source of organic material which will then affect the physical properties of the soil, namely soil porosity. Soil porosity is a very influential factor in soil infiltration. The highest soil infiltration reta of 131.33 cm hour-1 was found in protected areas. Meanwhile, the lowest infiltration rate of 12 cm hour-1 was found in pine production forest plots intercropped with annual crops.

scholarly journals Soil Infiltration Management on Perspective of Sustainable Development Goals (SDGs)

2021 ◽  
Vol 15 ◽  
pp. 219-227
Author(s):  
Harry Susanto ◽  
Eko Ganis Sukoharsono ◽  
Bambang Hendroyono ◽  
Amin Setyo Leksono
Keyword(s):  
Organic Matter ◽  
Sustainable Development Goals ◽  
Infiltration Rate ◽  
Green Economy ◽  
Soil Porosity ◽  
Soil Infiltration ◽  
Economy Model ◽  
Single Ring ◽  
Development Goals ◽  
Soil Infiltration Rate

UB Forest is a Forest Area with Special Purpose (KHDTK) located on the slopes of Mount Arjuno. Before being managed by the University of Brawijaya, there was a change in land cover from natural forest to pine and mahogany production forest. This change was a result of the PHBM (Collaborative Forest Management) contract agreement between Perhutani and the community to carry out agricultural management. The input of organic matter with different quality and quantity will affect the organic matter content and in turn will affect the physical properties of the soil such as bulk density, density and soil porosity. Soil porosity is a physical property of soil that affects soil infiltration. The objective of this study is to identify and analyze the management of Forest Areas and to build a green economy model in the management of KHDTK University of Brawijaya Forest in the Perspective of Sustainable Development Goals (SDGs) in Malang Regency. The method used in this research is qualitative research. Implementation of green economy model in the management of KHDTK University of Brawijaya Forest in the concept of forestry sector contribution related to climate change; the concept of sustainable forest resource management; and the concept of environmental service providers. The results of the infiltration measurement using the single ring infiltrometer method can better describe the infiltration that occurs in the soil. The highest soil infiltration is in protected areas with a soil infiltration rate of 131.33 cm/hour (single ring infiltrometer). Meanwhile, the lowest infiltration was found in the pine production forest plot overlaid with seasonal crops with a soil infiltration rate of 12 cm/hour (single ring infiltrometer).

scholarly journals Quantifying Tree Cover Loss in Urban Forests within Nairobi City Metropolitan Area from Earth Observation Data

2020 ◽  
Vol 3 (1) ◽  
pp. 78
Author(s):  
Francis Oloo ◽  
Godwin Murithi ◽  
Charlynne Jepkosgei
Keyword(s):  
Land Cover ◽  
Metropolitan Area ◽  
Land Surface ◽  
Urban Forest ◽  
Urban Forests ◽  
Earth Observation ◽  
Tree Cover ◽  
Observation Data ◽  
Vegetation Health ◽  
Earth Observation Data

Urban forests contribute significantly to the ecological integrity of urban areas and the quality of life of urban dwellers through air quality control, energy conservation, improving urban hydrology, and regulation of land surface temperatures (LST). However, urban forests are under threat due to human activities, natural calamities, and bioinvasion continually decimating forest cover. Few studies have used fine-scaled Earth observation data to understand the dynamics of tree cover loss in urban forests and the sustainability of such forests in the face of increasing urban population. The aim of this work was to quantify the spatial and temporal changes in urban forest characteristics and to assess the potential drivers of such changes. We used data on tree cover, normalized difference vegetation index (NDVI), and land cover change to quantify tree cover loss and changes in vegetation health in urban forests within the Nairobi metropolitan area in Kenya. We also used land cover data to visualize the potential link between tree cover loss and changes in land use characteristics. From approximately 6600 hectares (ha) of forest land, 720 ha have been lost between 2000 and 2019, representing about 11% loss in 20 years. In six of the urban forests, the trend of loss was positive, indicating a continuing disturbance of urban forests around Nairobi. Conversely, there was a negative trend in the annual mean NDVI values for each of the forests, indicating a potential deterioration of the vegetation health in the forests. A preliminary, visual inspection of high-resolution imagery in sample areas of tree cover loss showed that the main drivers of loss are the conversion of forest lands to residential areas and farmlands, implementation of big infrastructure projects that pass through the forests, and extraction of timber and other resources to support urban developments. The outcome of this study reveals the value of Earth observation data in monitoring urban forest resources.

scholarly journals Development of an Image Analysis Pipeline to Estimate Sphagnum Colony Density in the Field

Plants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 840
Author(s):  
Willem Q. M. van de Koot ◽  
Larissa J. J. van Vliet ◽  
Weilun Chen ◽  
John H. Doonan ◽  
Candida Nibau
Keyword(s):  
Image Analysis ◽  
Organic Matter ◽  
Plant Density ◽  
Important Determinant ◽  
Carbon Sink ◽  
High Accuracy ◽  
Analysis Pipeline ◽  
Colony Density ◽  
Water Table Management ◽  
And Performance

Sphagnum peatmosses play an important part in water table management of many peatland ecosystems. Keeping the ecosystem saturated, they slow the breakdown of organic matter and release of greenhouse gases, facilitating peatland’s function as a carbon sink rather than a carbon source. Although peatland monitoring and restoration programs have increased recently, there are few tools to quantify traits that Sphagnum species display in their ecosystems. Colony density is often described as an important determinant in the establishment and performance in Sphagnum but detailed evidence for this is limited. In this study, we describe an image analysis pipeline that accurately annotates Sphagnum capitula and estimates plant density using open access computer vision packages. The pipeline was validated using images of different Sphagnum species growing in different habitats, taken on different days and with different smartphones. The developed pipeline achieves high accuracy scores, and we demonstrate its utility by estimating colony densities in the field and detecting intra and inter-specific colony densities and their relationship with habitat. This tool will enable ecologists and conservationists to rapidly acquire accurate estimates of Sphagnum density in the field without the need of specialised equipment.

scholarly journals Gamma-Ray Attenuation to Evaluate Soil Porosity: An Analysis of Methods

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Luiz F. Pires ◽  
André B. Pereira
Keyword(s):  
Gamma Ray ◽  
Particle Density ◽  
Pore Space ◽  
Physical Property ◽  
Soil Bulk Density ◽  
Soil Porosity ◽  
Porous System ◽  
Soil Pore Space ◽  
Gamma Ray Attenuation ◽  
Dry Soil

Soil porosity (ϕ) is of a great deal for environmental studies due to the fact that water infiltrates and suffers redistribution in the soil pore space. Many physical and biochemical processes related to environmental quality occur in the soil porous system. Representative determinations ofϕare necessary due to the importance of this physical property in several fields of natural sciences. In the current work, two methods to evaluateϕwere analyzed by means of gamma-ray attenuation technique. The first method uses the soil attenuation approach through dry soil and saturated samples, whereas the second one utilizes the same approach but taking into account dry soil samples to assess soil bulk density and soil particle density to determineϕ. The results obtained point out a good correlation between both methods. However, whenϕis obtained through soil water content at saturation and a 4 mm collimator is used to collimate the gamma-ray beam the first method also shows good correlations with the traditional one.

Predicting soil particle density from clay and soil organic matter contents

Geoderma ◽  
2017 ◽  
Vol 286 ◽  
pp. 83-87 ◽  
Author(s):  
P. Schjønning ◽  
R.A. McBride ◽  
T. Keller ◽  
P.B. Obour
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Particle Density ◽  
Soil Particle

A Study of the Chemical and Physical Characteristics of the Soils from the South of Piauí for Soil-Cement Brick Production

2016 ◽  
Vol 869 ◽  
pp. 112-115 ◽  
Author(s):  
Francisca Pereira de Araújo ◽  
Edson Cavalcanti Silva Filho ◽  
João Sammy Nery de Souza ◽  
Josy Anteveli Osajima ◽  
Marcelo Barbosa Furtini
Keyword(s):  
Organic Matter ◽  
Particle Density ◽  
Environmentally Friendly ◽  
Physical Characteristics ◽  
Chemical Characteristics ◽  
The South ◽  
Physical Chemical ◽  
Soil Cement ◽  
Made In

Soil-cement bricks are good examples of environmentally friendly products. This brick is the combination of soil with compacted cement with no combustion in its production. In this work the physical chemical characteristics of the soil from Piaui for producing this material were investigated. Samples of the soil were collected in three potteries from the county of Bom Jesus and pH analysis were carried out, as well as the rate of organic matter, texture, particle density, limits of liquidity and plasticity rates. The results have shown that the soils have acid tones (pH 5,49 a 6,11), which can be neutralized by adding cement, and organic matter percentages up to 1%. The samples have shown predominantly clay-rich textures with adequate plasticity limits, however, values of liquidity limits and particle density above recommended. Altogether, these soils tend to present viability concerning soil-cement brick production, provided that corrections with additives are made in order to minimize this effect.

Particle densities of wetland soils in northern Alberta, Canada

2006 ◽  
Vol 86 (1) ◽  
pp. 57-60 ◽  
Author(s):  
T. E. Redding ◽  
K. J. Devito
Keyword(s):  
Organic Matter ◽  
Particle Density ◽  
Physical Property ◽  
Organic Soils ◽  
Wetland Soil ◽  
Loss On Ignition ◽  
Simple Method ◽  
Mean Values ◽  
Northern Alberta ◽  
Wetland Types

Particle density is a fundamental soil physical property, yet values of soil and organic matter particle density (ρs and ρo) vary widely in the literature. We measured particle density of organic soils from five wetland types, and from exposed sediments of drying ponds, in northern Alberta, Canada. Our measured values of organic soil and pond sediment ρs varied widely (1.43–2.39 Mg m-3); however, calculated values of ρo (1.34–1.52 Mg m-3) were relatively constant. The measured and calculated ρs and ρo values were similar to those obtained in published studies using similar methods, but were higher than the values provided in many reference texts. Given the relatively small variability in ρo, the use of mean values of ρo, combined with measurements of organic matter loss-on-ignition, shows promise as a simple method for obtaining reliable estimates of ρs across a range of wetland types. Key words: Particle density, peat, organic matter, wetland soil, loss-on-ignition

Assessing the removal potential of soil-aquifer treatment systems for bulk organic matter

2004 ◽  
Vol 50 (2) ◽  
pp. 245-253 ◽  
Author(s):  
T. Rauch ◽  
J.E. Drewes
Keyword(s):  
Organic Matter ◽  
Physical Adsorption ◽  
Biologically Active ◽  
Secondary Effluent ◽  
Soil Aquifer Treatment ◽  
Biological Degradation ◽  
Soil Infiltration ◽  
Biological Removal ◽  
Biomass Activity ◽  
Organic Fractions

The fate of effluent organic matter (EfOM) during groundwater recharge was investigated by studying the removal behavior of four bulk organic carbon fractions isolated from a secondary effluent: Hydrophilic organic matter (HPI), hydrophobic acids (HPO-A), colloidal organic matter (OM), and soluble microbial products (SMPs). Short-term removal of the bulk organic fractions during soil infiltration was simulated in biologically active soil columns. Results revealed that the four organic fractions showed a significantly different behavior with respect to biological removal. HPI and colloidal OM were prone to biological removal during initial soil infiltration (0-30 cm) and supported soil microbial biomass growth in the infiltrative surface. Additionally, colloidal OM was partly removed by physical adsorption or filtration. HPO-A and SMPs reacted recalcitrant towards biological degradation as indicated by low soil biomass activity responses. Adsorbability assessment of the biologically refractory portions of the fractions onto powered activated carbon (PAC) indicated that physical removal is not likely to play a significantly role in further diminishing recalcitrant HPO-A, HPI and SMPs during longer travel times in the subsurface.

scholarly journals Characterizing Land Use/Land Cover Using Multi-Sensor Time Series from the Perspective of Land Surface Phenology

2019 ◽  
Vol 11 (14) ◽  
pp. 1677 ◽  
Author(s):  
Lan H. Nguyen ◽  
Geoffrey M. Henebry
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Cover ◽  
Land Surface ◽  
Quadratic Model ◽  
Observation Data ◽  
Land Use Land Cover ◽  
Land Surface Phenology ◽  
Land Cover Map ◽  
Phenological Metrics

Due to a rapid increase in accessible Earth observation data coupled with high computing and storage capabilities, multiple efforts over the past few years have aimed to map land use/land cover using image time series with promising outcomes. Here, we evaluate the comparative performance of alternative land cover classifications generated by using only (1) phenological metrics derived from either of two land surface phenology models, or (2) a suite of spectral band percentiles and normalized ratios (spectral variables), or (3) a combination of phenological metrics and spectral variables. First, several annual time series of remotely sensed data were assembled: Accumulated growing degree-days (AGDD) from the MODerate resolution Imaging Spectroradiometer (MODIS) 8-day land surface temperature products, 2-band Enhanced Vegetation Index (EVI2), and the spectral variables from the Harmonized Landsat Sentinel-2, as well as from the U.S. Landsat Analysis Ready Data surface reflectance products. Then, at each pixel, EVI2 time series were fitted using two different land surface phenology models: The Convex Quadratic model (CxQ), in which EVI2 = f(AGDD) and the Hybrid Piecewise Logistic Model (HPLM), in which EVI2 = f(day of year). Phenometrics and spectral variables were submitted separately and together to Random Forest Classifiers (RFC) to depict land use/land cover in Roberts County, South Dakota. HPLM RFC models showed slightly better accuracy than CxQ RFC models (about 1% relative higher in overall accuracy). Compared to phenometrically-based RFC models, spectrally-based RFC models yielded more accurate land cover maps, especially for non-crop cover types. However, the RFC models built from spectral variables could not accurately classify the wheat class, which contained mostly spring wheat with some fields in durum or winter varieties. The most accurate RFC models were obtained when using both phenometrics and spectral variables as inputs. The combined-variable RFC models overcame weaknesses of both phenometrically-based classification (low accuracy for non-vegetated covers) and spectrally-based classification (low accuracy for wheat). The analysis of important variables indicated that land cover classification for this study area was strongly driven by variables related to the initial green-up phase of seasonal growth and maximum fitted EVI2. For a deeper evaluation of RFC performance, RFC classifications were also executed with several alternative sampling scenarios, including different spatiotemporal filters to improve accuracy of sample pools and different sample sizes. Results indicated that a sample pool with less filtering yielded the most accurate predicted land cover map and a stratified random sample dataset covering approximately 0.25% or more of the study area were required to achieve an accurate land cover map. In case of data scarcity, a smaller dataset might be acceptable, but should not smaller than 0.05% of the study area.

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