USE OF GEOSPATIAL TECHNOLOGY IN EVALUATING SOIL MICROBIAL POPULATION UNDER DIFFERENT LAND USE TYPES IN AKURE, NIGERIA

AKANDE, G. M, ADEKAYODE, F. O AND ADAVA, I. O

USE OF GEOSPATIAL TECHNOLOGY IN EVALUATING SOIL MICROBIAL POPULATION UNDER DIFFERENT LAND USE TYPES IN AKURE, NIGERIA

 

First Author Name: AKANDE, G. M 1, First Co-Author Name: ADEKAYODE, F. O2,

Second Co-Author Name: ADAVA, I. O3

Corresponding author E-mail: monisolagladys@gmail.com.

 

A R T I C L E  I N F O

Article Type: Research

Received: 17,May. 2019.

Accepted: 05, August. 2019.

Published:05, August. 2019.

 

 

A B S T R A C T

Microbial biomass of soil is recognized as a sensitive indicator of soil quality and fundamental for sustainable environmental management. This study aimed to use geospatial technology in evaluating soil microbial population under different land use in Akure, Nigeria. Global position system was used to identify the GeoEye-1 satellite image of the land use. The land uses were oil palm, teak plantation, unclear forest, cassava, and sugar plantations.  Soil samples were collected at a depth of 0-15cm, 15-30cm and 30-75cm on each land uses and was taken to the laboratory for microbial analysis. Map showing the spatial representation of the microbial population across the land uses were produced using geographic information system (GIS) spatial method of interpolation operations. The mean values of the colony-forming units of microorganism was input in Microsoft Excel and saved in coma delimited file format, which was added as a layer in ArcMap in the Projected Coordinate Systems WGS 1984 UTM zone 31N.  Spatial distribution was displayed using the Spatial Interpolation and Kriging Tools.  This  study reveals that, geospatial technologies provide accurate information for soil microbial population in different land uses and spatial representation map of microbial community  indicated a higher microbial population in cassava land than other property uses.

Keywords:

Soil, Ecosystem, Geospatial and Land use types.

REFERENCE

Adekayode, F. O., (2014). Using geospatial technology in assessing the effects of land use on microbial population and soil fertility in akure Nigeria, African journal of soil science vol.2 (1).pp.045-051.

Basaran, M. G.,  Erpul, A. E., Tercan, M. R., & Canga, L.(2006). The effects of land use changes on soil properties in Indagi mountain pass-cankiri, Turkey environmental monitoring and assessment 136: 101-119.

Campose, A., Etchevers, J. B., Oleschko, K.. L., & Hidalgo, C. M. (2012). Soil Microbial Biomass and nitrogen mineralization rates along an altitudinal gradient on the Cofre de Perote Volcano (Mexico): the importance of landscape position and land use. Land Degrad

Dahlin, K. M., Asner, G. P., & Field, C. B. (2012). Environmental filteringand land-use history drive patterns in biomass accumulationin a Mediterranean-type landscape, Ecological Applications,22(1):104–118.

Fasinmirin, J.T., & Oguntuase, A.M. (2008). Soil moisture distribution pattern in Amaranthuscruentusfield under drip irrigation system, African Journal of Agricultural Research, 3, 486-493. www.academicjournals.org

Franklin, R. B., & Mills, A.L. (2009). Importance of spatially structured environmental heterogeneity in controlling microbial community composition at small spatial scales in an agricultural field, Soil Biol. Biochem. 41, 1833-1840

Gale, W. J., Cambardella, C.A., & Bailey, T.B. (2008). Root-derived carbon and the formation and stabilization of aggregates, Soil Science Society of America Journal 64: 201-207.

Grundmann, G.L., & Debouzie, D. (2000). Geostatistical analysis of the distribution of NH4+ and NO2-oxidizing bacteria and serotypes atthe millimeter scale along a soil transect, FEMS Microbiol. Ecol. 34,57-62.

Laliberte, A., Goforth, M.A., Steele, C.M., & Rango, A. (2011). Multispectral remote sensing for unmanned aircraft: Image processing workflows and applications for rangeland environments, RemoteSensing, 3(11):2529–2551.

Larsen, P., Field, D., & Gilbert, J.A.  (2012b). Predicting bacterial community assemblages using an artificial neural network approach, Nature Methods, 9(6):621–625.

Liu, H., Wang, C., Yang, m.., Xie, S., & Wang, L. (2002). Effects of Different Land Use Patterns on Soil Fertility, Journal of Agricultural Science, Volume 5(3): 146 – 152.

Mishra, B. P. (2010). A study on the micro-environment, Litter accumulation on forest floor and available nutrients in the soils of broad-leaved, mixed pine and pines forest at two distinct altitudes in Meghalaya, northeast India. Current science 90:1829-1833.

Nunan, N., Wu, K.J., Young, I.M., Crawford, J.W., & Ritz, K. (2002). In situ spatial patterns of soil bacterial populations, mappedat multiple scales, in an arable soil, Microb. Ecol. 44, 296-305.

Palmer, M.W., Wohlgemuth, T., Earls, P., Arevalo, J. R., & Thompson, S.D. (2000). Opportunities for long-term ecological research at the tallgrass prairie preserve, Oklahoma, Proceedings of ILTERRegional Workshop, 22–25 June, 1999, Budapest, Hungary, pp.123–128.

Palmer, M.W.,. Earls, P., Hoagland, B.W., White, P.S., & Wholgemuth, T. (2002). Quantitative tools for perfecting species list, Environmetrics, 13(2):121–137.

Ranjard, L., Dequiedt, S., Jolivet,  C., Saby, .N.P.A., Thioulouse,  J., Harmand, J., Loise,  P., Rapaport, A., Fall, S., Simonet, P. J., offre, R.l., Boure, N.C.-P., Maron, P.-A., Mougel, C., Martin, M.P., Toutain, B., Arrouays, D., & Lemanceau, P. (2010). Biogeography of soil microbial communities: A review and a description of the ongoing French National Initiative, Argonomy for Sustainable Development, 30(2):359–365.

Reid, A. (2012). Incorporating Microbial Processes into Climate ChangeModels, Report from American Academy of Microbiology, American Academy of Microbiology, Washington, D.C., 28 p.

Richardson, A.E. (2001). Prospects for using soil microorganisms to improve the acquisition of phosphorus by plants, Functional plant Biology 28: 897-906

Ritz, K., McNicol J.W., Nunan N., Grayston S., Millard P., Atkinson D., Gollotte A., Habeshaw D., Boag B., Clegg C.D., Griffiths B.S., Wheatley R.E., Glover L.A., McCaig A.E., & Prosser J.I. (2004). Spatial structure in soil chemical and microbiological properties in an upland grassland, FEMS Microbiology Ecology 49: 191-205.

Rocchini, D., Balkenhol, N., Carter, G.A.,  Foody, G.M.,  Gillespie, T.W., He,  K.S., Kark, S., Levin, N., Lucas, K., Luoto, M., Nagendr, H., Oldeland,  J.,  Ricotta, C., Southworth, J., & Neteler,  M. (2010). Remote sensing spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges, Ecological Informatics, 5(5):318–329.

Savin, M.C., Görres, J.H., Neher, D.A., & Amador, J.A. (2001). Biogeophysical factors influencing soil respiration and mineral nitrogen content in an old field soil, Soil Biol. Biochem. 33, 429-438

Ushio, M., Kitayama K., & Balser,  T.C. (2010). Tree species effects on soil enzyme activities through effects on soil physicochemical and microbial properties in tropical montane forest on Mt. Kinabalu, Borneo, Pedobiologia, 53(4):227–233.

Van der Heijden, M.G.A., Bardgett, R.D., & Straalen, N.M. (2008). The unseen majority: Soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems, Ecology Letters, 11(3):296–310.

 

This work is licensed under a Creative Commons Attribution 4.0 International License.