Impact of changing vegetation cover on some of the physical characteristics of forest soils of Langate Forest Division of Kashmir Himalaya

 Helal A. LONE1, Mukhtar A. BHAT2 and Ashok A. PANDIT3


1, 2 Department of Botany, Amar Singh College, Cluster University Srinagar-190 008, (J & K).

3 Centre of Research for Development, University of Kashmir, Srinagar

*Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.


The aim of the present study was to evaluate changes in some of the physical properties of soils after change in vegetation cover in the forests of Langate Forest Division of Kashmir Himalaya. The study area was divided into four territorial forest rages. From each of the four territorial forest ranges, the composite soil samples were collected from different vegetation covers like trees, shrubs and herbs. The soils under the different vegetation covers varied in all physical parameters in all the four territorial forest ranges. The soils under the different vegetation covers varied in texture from clay-loam (reported under trees) to sandy-loam (reported under shrubs) to silt-loam (reported under herbs). The soils under tree canopies depicted higher values of moisture content and water-retaining capacity as compared to the soils under shrubs and herbs. On the contrary, the soil temperature showed an inverse relationship with soil moisture, being higher for the soils under herbs as compared to the soils under shrubs and trees. The soils under different vegetation covers depicted highly significant negative correlation at P=<0.05 between temperature and moisture content (r=-0.394; r=-0.457; r=-0.497) for trees, shrubs and herbs respectively.

Keywords: Composite soil sample; Kashmir Himalaya; Langate Forest Division; Moisture content; Physical properties; Territorial ranges; Vegetation cover; Water-holding capacity


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Soil temperature prediction using measured atmospheric temperature in two high altitude regions of Kenya

 LANGÁT, Joseph Kimutai

Department of Crop and Soil Sciences, School of Agriculture & Natural Resources Management, Kisii University, P. O. Box 408-40200, KISII, KENYA. +254 722 305 965. Email This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.


Soil stores heat energy during the day, supplying it to its near surface at night. Soil temperature, an important environmental regulator for crop growth, is the function of heat flux in the soil and heat exchanges between soil and the atmosphere. Its determination however, is time-consuming, costly and is not suitable for wide range coverage. It was on this basis that on-site underground measurements were conducted with the main objective of investigating the correlation between air and soil temperature in two highland regions of Kenya. Two variables were investigated: atmospheric and soil temperatures as from the year 2000 to 2010 (11 years) at Timbilil (0O22'S, 35O21'E, 2200 metres above level), and for four years (2007-2010) at Kangaita (0O30’S, 37O16’E, elevation of 2100 metres). Measurements were done thrice daily, with soil temperature readings taken at a depth of 30cm. The coefficient correlation was determined using Pearson’s distribution with atmospheric temperature being independent, while soil temperature was a dependent variable across the two locations at p01. The computed differences between soil and air temperatures for Kangaita and Timbilil were 4.6167OC (SED ±1.2543) and 2.1636OC (SED ±0.2838) respectively. Timbilil and Kangaita soil and air temperature differences subjected to two-way ANOVA (F pr ≤ 0.001) indicated sites are statistically different from each other. The outcome rejects the use of a universal air temperature to calculate soil temperature at d=30 cm for blanket highland regions of Kenya. The study concluded that empirical models are site specific. Soil temperature of each site should be determined independently.

Keywords: Air temperature, empirical models, soil temperature, tea (Camellia sinensis)


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 Use of recycled construction and demolition waste in the landscape industry

Salman Shooshtarian1, Mohammad Reza Hosseini2

1RMIT University, School of Property, Construction and Project Management, Melbourne Australia,

2Deakin University, School of Architecture and Built Environment, Geelong, Australia

Increased construction activities around the world has led to the generation of excessive construction and demolition (C&D) waste annually. Hence, the C&D waste stream has become a national concern in many developed and developing nations in recent years. Several studies have provided solutions to improve current C&D waste systems. Among various solutions, the establishment of a domestic market has been highlighted as an effective and sustainable solution to this issue. The development of a domestic market largely hinges on unlocking new applications for valuable C&D waste materials. This review paper investigates the potential application of these materials in the landscape industry with a focus on boosting C&D waste resource recovery activities. Some past and new applications are identified (green roof substrate, green façade, sports surface construction, soil amendment,  vegetated surface mulch, vegetated permeable pavement) in this study, setting the scene for further inquiries into upcycling between the construction industry and the landscape industry. Also, the results provide a basis for policy development to encourage waste recovery and increase public and key stakeholders’ awareness and further incorporate the principles of the circular economy. 


Keywords: Circular economy; waste resource recovery; upcycling; market development; green infrastructure

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Comparison of regression methods for predicting soil water contents at field capacity and wilting point in Bas Sahara of Algeria

 Youcef ABDELHAFID1&3 *, Mohamed CHEBBAH2 and Milad Zohra RECHACHI3


1Department of Agronomic Sciences, Faculty of  Natural Sciences and Life Sciences, University of Biskra, Biskra 07000, Algeria

2 Laboratory of Natural Sciences and Materials, university of Mila, 43000, Algeria

3Center for scientific and technical research on arid regions, CRSTRA, BP N1682, Biskra, Algeria

* Correspondence: This email address is being protected from spambots. You need JavaScript enabled to view it.

 In arid regions, the rational management of available scare water ressources depends mainly on soil hydraulic properties (i.e., water retentionand hydraulic conductivity). knowledge of soil water content at field capacity (FC) and permanent wilting point (PWP) are very important parameters in biophysical modelling. However, direct measurement of these parameters are time consuminng and expensive. Using data mining methods enable accurate estimations and good generalisation of these parameters. 120 soils samples were collected from three  horizons of soil profils located in Biskra province, bas Sahara of Algeria. The pedologic parameters, such as clay, silt, sand, bulk density, and organic matter content were used as inputs. Three approachs were considered, multiple lineaire regression (MLR), multilayer perception (MLP) and support vector machine (SVM) for predicting soil water contents at field capacity (FC) and permanent wilting point (PWP). The model performance was evaluated and compared with coefficient of deternination (R2), root mean square error (RSME), and mean error (ME) indexes. The results obtained in our study show that both artificial intelligence algorithms MLP and  SVM are able to provide better performances than the conventinel MLR. Also, it was found that the MLP model performs somewhat better than SVM in the model prediction stage.


Keywords: Bas Sahara, Field capacity, Multilayer perception, Permanent wilting, point, Regression, Support vector machine

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Characterization and classification of soils of wukari urban, northeast nigeria

 Osujieke, Donald Nweze, Imadojemu, Pedro Ezemon, Angyu, Micah Dantani and Ibeh, Kingsely

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Carbon sequestration potential of achan (hardwickia binata) under different girth class interval in vellore reserve forest of tamil nadu

Sewa Singh, A.Shanmugam

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Effect of forest ecosystem on soil properties: a case study in the royally-initiated khao cha-ngum deteriorated area development project, thailand

Nattaporn PRAKONGKEP, Robert J. GILKES, Sumitra WATANA, Satira UDOMSRI, Supaluck PAKANKUL, Worachart WISAWAPIPAT, Rattanachart CHUAYBUDDA, Warunee SITTI, Wassana PRAMNOY, Kridsophon DUANGKAMOL and Suwicha POLFUKFANG

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Modeling of erosion in the Wadi Guir watershed (South-West Algeria) by the application of Geographic Information System (GIS).

BELAOUT Fateh, MEKERTA Belkacem, ZENTAR Rachid, CHABANI Abdelmadjid, ABDELKRIMI Abderrahmane, KALLOUM Slimane

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BN Divakara*, Nikhitha CU, Prabhudda HR, Srinivasa Rao M


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Vegetation analysis of Tiger Corridor between Mudumalai Tiger Reserve and Mukurthi National Park in Nilgiri Biosphere Reserve

K.Baranidharan, Vinay, J.R. and Dr.M.Vijayabhama


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 Analyzing physico-chemical properties of soil along the altitudinal gradients in Thalamalai range of Sathyamangalam Tiger, Tamil Nadu, India.

 Bhuvanesh.P, Baranidharan.K and Vijayabhama.M

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Joshua Maguzu, Amani J. Uisso, Ladislaus Nshubemuki, Edward Mlowe, Nancy E. Pima, Revocutus P. Mshumbusi, Herman N. Nyanda

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