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Open Access Article
N. Gandhi, M. Madhan Obul Reddy, D. Madhusudhan Reddy
Research Paper | Journal-Paper (IJSRBS)
Vol.9 , Issue.1 , pp.63-75, Feb-2022
Abstract
The screening of freshwater microalgae which is grown in the outdoor paddy fields for phycoremediation of rice parboiling industries wastewater is investigated in the current project. Diluted sample of wastewater with distilled water in 1:1 ratio is denoted as Raw and Distilled Water (RDW) sample and diluted sample with tap water in 1:1 ratio is denoted as Raw and Tap Water (RTW) were allowed for phycoremediation. The highest growth of microalgae biomass has increased and shown great biomass in RDW sample of rice parboiling industries wastewater. At Day 15 approximately 13.72×106 cell/mL with the highest removal of nitrate nitrogen, ammonia nitrogen, total nitrogen, phosphate and total organic carbon (BOD and COD) are 82.62%, 98.23%, 87.66%, 76.26, 93.32% and 95.32% respectively. RTW wastewater was able to reach maximum growth by Day 18 where cell concentration was approximately 19.7×105 cell/mL. Significantly reduction for some nutrients such as nitrate nitrogen, ammonia nitrogen, total nitrogen, phosphate and total organic carbon (BOD and COD) were observed. These findings provide good indication of microalgae growth and phycoremediation of rice parboiling industries wastewater. The information from these findings could be of potential use for biotechnology industries, for further development of bio-based product from microalgae biomass. The current study is extended to know the impact of raw undiluted rice parboiling industries wastewater and treated i.e., phycoremediation by RDW and RTW on Bengal gram (Cicer arietinum) for germination, growth, physiological and biochemical response. Plant growth is measured using growth analysis parameters such as, % germination, germination index, mean germination time, relative growth rate (RGR), net assimilation rate (NAR), leaf area ratio (LAR), leaf weight ratio (LWR), specific leaf area (SLA), specific leaf weight (SLW), leaf area duration (LAD). The physiological response of crop irrigated with undiluted raw rice parboiling industry wastewater, treated RDW and treated RTW are calculated by measuring % phytotoxicity, % inhibition, tolerance indices, seed vigor index. The biochemical response of seedlings irrigated with RRW, RDW and RTW are calculated by measuring total carbohydrates, total protein, chlorophyll pigment concentrations and peroxidase enzyme activity. The obtained results concluded that phycoremediation by RDW and RTW has shown positive growth and increased biochemical response of Cicer arietinum.Key-Words / Index Term
Phycoremediation, Micro algae, Wastewater treatment, Parboiled rice industry wastewater, Agricultural reuse, Bengal gram, Physiological response, Biochemical responseReferences
[1] E.U.U. Ituen, A.C. Ukpakha. “Improved method of parboiling paddy for better quality rice”. World Journal of Applied Science and Technology. Vol.3, Issue.1, pp. 31–40, 2011.
[2] A. Manjusha, N. Gandhi, D. Sirisha.“Removal of Chromium (VI) from paint manufacturing industry waste water by using papaya peel powder”. International Journal of Pharma world Research. Vol. 3, Issue.2, pp. 1-8, 2012.
[3] N. Gandhi, D. Sirisha, K.B. Chandra Sekhar. “Bio depollution of paint manufacturing industry waste water containing chromium by using coagulation process”. Researcher’s world- journal of Arts, Science and Commerce. Vol. 4, Issue.1, pp.110-118, 2013.
[4] N. Gandhi, D. Sirisha, K.B. Chandra Sekhar. “Removal of Chromium (VI) from Industrial Wastewater by Coagulation Process using Pithecellobium Ducle Seeds as Natural Coagulant”. Continental Journal of Water, Air and Soil Pollution. Vol. 4, Issue.1, pp.32-39, 2013.
[5] N. Gandhi, D. Sirisha, K.B. Chandra Sekhar. “Bioremediation of Wastewater by using Strychnos Potatorum Seeds (Clearing nuts) as Bio Adsorbent and Natural Coagulant for Removal of Fluoride and Chromium”. Journal of International Academic Research for Multidisciplinary. Vol. 3, Issue.1, pp. 253-272, 2014.
[6] N. Gandhi, D. Sirisha,, Smita Asthana. “Bio adsorption of Alizarin red dye using immobilized Saccharomyces cerevisiae”. International Research Journal of Natural and Applied Sciences. Vol. 2, Issue.3, pp. 1-17, 2015.
[7] M. Bidisha, M. Madhurina, G. Amitava, C. Sankar , C. Debashish. “Phytoremediation of parboiled rice mill wastewater using water lettuce (Pistia stratiotes)”. International journal of phytoremediation. Vol.17, Issue.7, pp. 651-656, 2015.
[8] APHA, AWWA, WEF.” Standard Methods for the Examination of Water and Wastewater”. 21st ed. Washington (DC): American Public Health Association 2005.
[9] G.W. Prescott. “Algae of the western great lakes area”, Michigon State University, USA. pp.99 – 280, 1975.
[10] J.N. Idenyi, L.N. Ebenyi, O. Ogah, B.U. Nawali, M.E. Ogbanshi. “Effect of different growth media on cell densities of freshwater microalgae isolates”. IOSR journal of pharmacy and biological sciences. Vol. 11, Issue.3, pp. 24 – 28, 2016.
[11] N. Gandhi, I. Prudhvi Raj, M. Maheshwar, D. Sirisha. “Germination, Seedling growth and biochemical response of Amaranthus (Amaranthus tricolour L.) and Sesame (Sesamum indicum L.) at varying Chromium Concentrations”. International Journal of Plant & Soil Science. Vol. 20, Issue.5, pp.1-16, 2017.
[12] N. Gandhi, D. Sirisha,, Smita Asthana. “Germination of seeds in soil samples of heavy traffic zones of Hyderabad telangana, India”. Environmental Science-An Indian Journal. Vol.10, Issue.6, pp. 204-214, 2015.
[13] N. Gandhi, D. Sirisha,, Smita Asthana. “Determination of physico-chemical properties of different industrial wastewater of Hyderabad, India”. Int. Res. J. Environment Sci., Vol.6, Issue.3, pp.1-10, 2016.
[14] N. Gandhi, D. Sirisha,, Smita Asthana. “Phytoremediation of Lead (Pb) Contaminated Soil by Using Sorghum bicolor”. Research & Reviews in Bio Sciences. Vol. 10. Issue.9, pp.333 – 342, 2015.
[15] D. Priyamvada, D. Sirisha, N. Gandhi. “Characterization of Prawn pond in around bhimavaram, West Godavari district, A.P”. International Journal of Research in Chemistry and Environment. Vol. 2, Issue.1, pp. 251-254, 2012.
[16] D. Priyamvada, D. Sirisha, N. Gandhi. “Study on the quality of water and soil from fish pond in around Bhimavaram west Godavari district, A.P. India”. International Research Journal of Environmental Sciences. Vol. 2, Issue.1, pp. 58-62, 2013.
[17] N. Gandhi, J. Sridhar, A. Pllavi, et al., “Germination Growth, Physiological and Biochemical response of pigeon pea (Cajanus cajan) under varying concentrations of copper (Cu), lead (Pb), manganese (Mn) and barium (Ba)”. International journal of research and review. Vol.7, Issue.3, pp. 321-347, 2020.
[18] N. Gandhi, A. Sree lekha, S. Priyanka, et al., “Impact of climatic and edaphic factors on germination, growth, physiological and biochemical response of pigeon pea (Cajanus cajan)”. Noble international journal of agriculture and food technology. Vol. 2, Issue.8, pp. 54-84, 2020.
[19] N. Gandhi, K. Rahul, N. Chandana, B. Madhuri, D. Mahesh. “Impact of ultraviolet radiation on seed germination, growth and physiological response of Bengal gram (Cicer arietinum L.) and Horse gram (Macrotyloma uniflorum L.)”. Journal of Biochemistry Research. Vol. 2, Issue.1, pp. 19–34, 2019.
[20] M.Z. Iqbal, K. Rahmati. “Tolerance of Albizia lebbeck to Cu and Fe application”. Ekologia(CSFR). Vol.11, pp.427-430, 1992.
[21] C.H. Chou, C.H. Muller. “Allelopathic Mechanism of Arctostaphylos glandulosa, var. zacaensis”. Am. Midl. Nat. Vol. 88, pp.324-347, 1972.
[22] A. Abdul Baki, J.D. Anderson. “Vigour Determination in Soybean Seed by Multiple Criteria”. Crop Science. Vol.13, Issue.6, pp. 630-633, 1993.
[23] J.D. Bewly, B.M. Black. “Physiology and Biochemistry of Seeds in Relation to Germination”. Springer Ver-lag, New York. Pp. 40-80, 1982.
[24] A. Gang, A. Vyas, H. Vyas. “Toxic effect of heavy metals on germination and seedling growth of wheat”. Journal of Environmental Research and Development. Vol. 8, Issue 2, pp. 206–213, 2013.
[25] A. Hira, A. Basir Ahmed, A. Farah, A.S. Muhammad. “Phytotoxicity of chromium on germination, growth and biochemical attributes of Hibiscus esculentus L”. American Journal of Plant Sciences. Vol. 4, pp.2431-2439, 2013.
[26] D.I. Arnon. “Copper enzymes in isolated chloroplasts, polyphenol oxidase in Beta vulgaris”. Plant Physiology. Vol. 24, pp. 1-15, 1949.
[27] J.R. Peralta, J.L. Gardea, K.J. Torresdey, E. Tiemann, S. Gomez, Arteaga, E. Rascon. “Uptake and effects of five heavy metals on seed germination and plant growth in Alfalfa (Medicago sativa L.)”. Bulletin of Environmental Contamination and Toxicology. Vol. 66, Issue.6, pp.727-734, 2001.
[28] N. Gandhi, D. Sirisha, Smita Asthana. “Microwave Mediated Green Synthesis of Lead (Pb) Nanopacticles and its Potential Applications”. International Journals of Engineering Sciences and Research Technology. Vol. 7, Issue.1, pp. 623 –644, 2018.
[29] R.D. Sooknah, A.C. Wilkie. “Nutrient removal by floating aquatic macrophytes cultured in anaerobically digested flushed dairy manure wastewater”. Ecological Engineering. Vol. 22, pp. 27–42, 2004.
[30] Metcalf, I.N.C. Eddy. “Wastewater Engineering: Treatment and Reuse. 4th ed. McGraw-Hill”: Washington DC 2003.
[31] T. Fonkou, P. Agendia, I. Kengne, A. Akoa , J. Nya . “Potentials of water lettuce (Pistia stratiotes) in domestic sewage treatment with macrophytic lagoon systems in Cameroon”. Proceeding of International Symposium on Environmental Pollution Control and Waste Management. Pp.709–714, 2002.
[32] Y. Li, Y.F. Chen, P. Chen, M. Min, W. Zhou, B. Martinez, J. Zhu, R. Ruan. “Characterization of a microalga Chlorella sp. well adapted to highly concentrated municipal wastewater for nutrient removal and biodiesel production”. Bioresour. Technol. Vol.102, pp.5138–5144, 2011.
[33] W. Zhou, Y. Li, Y. Gao, H. Zhao. “Nutrients removal and recovery from saline wastewater by Spirulina platensis”. Bioresour. Technol. Vol. 245, pp.10–17, 2017.
[34] M. Singh, D.L. Reynolds, K.C. Das. “Microalgal system for treatment of effluent from poultry litter anaerobic digestion”. Bioresour. Technol. Vol.102, pp.10841–10848, 2011.
[35] T. Cai, S.Y. Park, Y. Li. “Nutrient recovery from wastewater streams by microalgae: Status and prospects”. Renew. Sustain. Energy Rev. Vol.19, pp. 360–369, 2013.
[36] C.Y. Lin, M.L.T. Nguyen, C.H. Lay. “Starch-containing textile wastewater treatment for biogas and microalgae biomass production”. J. Clean. Prod. Vol.168, pp.331–337, 2017.
[37] G. Suvidha, R.A. Pandey, B.P. Sanjay. “Microalgal bioremediation of food processing industrial wastewater under mixotrophic conditions, kinetics and scale-up approach”. Frontiers of chemical science and engineering. Vol. 10, pp. 499- 508, 2016.
[38] S. Gulab, S.K. Patidar. “Mixed culture microalgae removal for water quality improvement”. Canadian journal of Civil engineering. Vol.48, Issue.6, pp. 32 – 38, 2020.
[39] S. Kim, J. Park, Y. Cho, S. Hwang. “Growth rate, organic carbon and nutrient removal rates of Chlorella sorokiniana in autotrophic, heterotrophic and mixotrophic conditions”. Bioresource Technology. Vol.144, pp. 8–13, 2013.
[40] F.Z. Mennaa, Z. Arbib, J.A. Perales. “Urban wastewater treatment by seven species of microalgae and an algal bloom: Biomass production, N and P removal kinetics and harvest ability”. Water Research. Vol. 83, pp.42–51, 2015.
[41] J. Zhan, Q. Zhang, M. Qin, Y. Hong. “Selection and characterization of eight fresh water green algae strains for synchronous water purification and lipid production”. Frontiers of Environmental Science & Engineering. Vol. 10, Issue.3, pp. 548–558, 2016.
[42] S.N. Sinha, P. Dipak. “Impact of sewage water on seed germination and vigor index of Cicer arientinum L. and Pisum sativum L”. International journal of food, agriculture and veterinary science. Vol. 3, Issue 3, pp.19- 26, 2013.
[43] A.K.M. Farhan, F.S.M.U. Hayyat, Shahzad, G.Z. Ghafoor. “Effect of Industrial wastewater on wheat germination, growth, yield, nutrients and bioaccumulation of lead”. Scientific Reports. Vol.10, pp.113-116, 2020.
[44] B.G. Rajendra, B.K. Uphade, A.G. Gandhave, S.R. Kuchekar. “Effect of dairy effluent on seed germination and early seedling growth of soyabeans”. Rasayan journal of chemistry. Vol. 3, Issue 1, pp. 137 – 139, 2010.
[45] M. Kotteswari, S. Murugesan, R. Ranjith Kumar. “Phycoremediation of dairy effluent by using the microalgae Nostoc sp”. International journal of environmental research and development. Vol. 2, Issue 1, pp.35- 43, 2012.
[46] P. Gani, M.S. Norshuhaila, M.P. Hazel Monica, A.L. Ab Aziz, T.K.J. Ivor, K. Umi, et al. Chin Ming Er. “Phycoremediation of dairy wastewater by using green microlgae: Botryococcus Sp”. Applied mechanics and materials. Vol. & Issue. 773- 774, pp.1318-1323, 2015.
[47] V.S. Shivsharan, S.W. Kulkarni, W. Minal. “Physicochemical characterization of dairy effluents”. International journal of life sciences biotechnology and Pharma research. Vol. 2, Issue 2, pp.182-191, 2013.
[48] V. Marthandan, R.K. Bhavyasree, N. Vinothini, Tamilarasan. “Impact of polluting agents on seed quality”. Journal of pharmacognosy and phytochemistry. Vol. 7, Issue. 6, pp.2728 – 2732, 2018.Citation
N. Gandhi, M. Madhan Obul Reddy, D. Madhusudhan Reddy, "Phycoremediation of Rice Parboiling Industry Wastewater by Micro Algae and Utilization of Treated Water for Crop Production," International Journal of Scientific Research in Biological Sciences, Vol.9, Issue.1, pp.63-75, 2022 -
Open Access Article
I.V. Ferrari, M. Di Mario
Research Paper | Journal-Paper (IJSRBS)
Vol.9 , Issue.1 , pp.76-83, Feb-2022
Abstract
The purpose of this short study is to estimate the main chemical-physical properties, pharmacokinetics, and biological activity of the main anti-HIV drugs. The ADMETlab, pkCSM server, and The Pass Online Server were used to complete this computational investigation. The canonical SMILES strings of these compounds were retrieved from PubChem (http://pubchem.ncbi.nlm.nih.gov/) using their CAS registry number or chemical name(s). Regarding the in Silico toxicity study, between all the HIV antivirals investigated, “Lamivudine/Zidovudine”, sold under the brand name “Combivir”, reported good overall values, indicating that it is potentially the least toxic, except for the Minnow toxicity parameter (LC50 with a value of about 7.025 (log mM). Furthermore, Lopinavir also reported overall acceptable values against the various toxicity tests, except that of the Max. tolerated dose (human) with a value of -0.297 (log mg / kg / day in units ), compared to Combivir of 0.684 log mg / kg / day in units. From this evaluation, Combivir is one of the best drugs, manly in terms of toxicity parameters and also it would be useful to focus on discovering similar chemical structures, based on their structure.Key-Words / Index Term
HIV, Drug –likeness analysis, toxicity estimation and ADME/T evaluationReferences
[1] Tassiopoulos, Katherine, et al. "Sexual risk behavior among youth with perinatal HIV infection in the United States: predictors and implications for intervention development." Clinical Infectious Diseases, Vol.56, Issue.2 , pp.283-290, 2013.
[2] Sharp P. M, Bailes E, Chaudhuri R. R, Rodenburg C. M, Santiago M. O, Hahn B. H. The origins of acquired immune deficiency syndrome viruses: where and when?. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, Vol. 356, Issue. 1410, pp. 867-876, 2001.
[3] Levy, J A. Pathogenesis of human immunodeficiency virus infection. Microbiological reviews, Vol. 57, Issue. 1, pp. 183-289, 1993.
[4] Pantaleo G, Graziosi, C, Fauci, A S. The immunopathogenesis of human immunodeficiency virus infection. New England Journal of Medicine,Vol. 328, Issue.5, pp. 327-335, 1993.
[5] Semba R D, Tang A M. Micronutrients and the pathogenesis of human immunodeficiency virus infection. Journal of Nutrition, Vol. 81, Issue. 3, pp. 181-189, 1999.
[6] Barnes P. F, Bloch A. B, Davidson P. T, Snider Jr D. E. Tuberculosis in patients with human immunodeficiency virus infection. New England Journal of Medicine, Vol. 324, Issue. 23, pp.1644-1650, 1991.
[7] Havlir D V, Barnes P F. Tuberculosis in patients with human immunodeficiency virus infection. New England Journal of Medicine, Vol. 340, Issue. 5, pp. 367-373, 1999.
[8] Wasserheit J N. Epidemiologies! Synergy: Interrelationships between Human Immunodeficiency Virus Infection and Other. Sexually transmitted diseases, pp.61-77,1992.
[9] Galvin S R, Cohen, M S. The role of sexually transmitted diseases in HIV transmission. Nature Reviews Microbiology, Vol. 2, Issue. 1, pp.33-42,2004.
[10] Cohen, Myron S. Sexually transmitted diseases enhance HIV transmission: no longer a hypothesis. The Lancet, Vol.351 pp.S5-S7, 1998.
[11] Freed E O. HIV-1 replication. Somatic cell and molecular genetics, Vol. 26, Issue. 1, pp.13-33, 2001.
[12] Wills J W, Craven R C. Form, function, and use of retroviral gag proteins. Aids, Vol. 5, Issue. 6, pp. 639-654,1991.
[13] Lipinski C. A, Lombardo F, Dominy B. W, Feeney P. J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced drug delivery reviews, Vol. 2, Issue.1-3, pp. 3-25,1997.
[14] Parasuraman S. Prediction of activity spectra for substances. Journal of pharmacology & pharmacotherapeutics, Vol. 2, Issue.1, pp. 52, 2011.
[15] Lipinski C A. Drug-like properties and the causes of poor solubility and poor permeability. Journal of pharmacological and toxicological methods, Vol. 44, Issue.1 , pp. 235-249, 2000.
[16] Valko, K, Reynolds, Derek P. High-throughput physicochemical and in vitro ADMET screening. Journal of Drug Delivery, Vol. 32, Issue.2 , pp.83-100, 2005.
[17] Wang J. B, Cao D. S, Zhu M. F, Yun Y. H, Xiao N, Liang Y. Z In silico evaluation of logD7. 4 and comparison with other prediction methods. Journal of Chemometrics, Vol. 29, Issue.4 , pp. 389-398, 2015.
[18] Wang, Ning-Ning, et al. ADME properties evaluation in drug discovery: prediction of Caco-2 cell permeability using a combination of NSGA-II and boosting. Journal of chemical information and modeling, Vol. 56, Issue.4, pp.763-773, 2016.
[19] Obach R. S, Baxter J. G, Liston T. E, Silber B. M, Jones B. C, Macintyre F, Wastall P. The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data. Journal of Pharmacology and Experimental Therapeutics, Vol. 283, Issue. 1, pp. 46-58, 1997.
[20] Van de Wanterbeemd H, Gifford E. ADMET in silico modelling: towards prediction paradise?. Nature reviews Drug discovery, Vol. 2, Issue. 3, pp. 192-204, 2003.
[21] Zhu H, Martin T. M, Ye L, Sedykh A, Young D. M, Tropsha A. Quantitative structure? activity relationship modeling of rat acute toxicity by oral exposure. Chemical research in toxicology, Vol. Issue. 12, 1913-1921, 2009.
[22] Pires D EV, Blundell T L, Ascher D B. pkCSM: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures. Journal of medicinal chemistry, Vol. 58, Issue. 9, pp. 4066-407, 2015.Citation
I.V. Ferrari, M. Di Mario, "Prediction of physic-chemical property/ Biological Activity and ADMET (absorption, distribution, mechanism, excretion, and toxicity) parameters of approved HIV Medications," International Journal of Scientific Research in Biological Sciences, Vol.9, Issue.1, pp.76-83, 2022 -
Open Access Article
Seasonal Variation in Avian Fauna of Sarsuna Satellite Township Area – A Case Study
Indraneel Saha, Suvajit Dey, Swagata Palit
Research Paper | Journal-Paper (IJSRBS)
Vol.9 , Issue.1 , pp.84-91, Feb-2022
Abstract
Birds are considered as one of the most significant indicators of the environment. Because they are very much sensitive to habitat change. Changes in bird populations are an important indication of environmental problems. During the time of urbanization, the population of birds has been particularly affected mainly in urban and suburban areas. The area of our study – Sarsuna Satellite Township is mainly a suburban region where the bird population is also likely to be affected. However, our study mainly focuses on the analysis of these bird populations and to compare their diversity indices in pre and post monsoon season. The study reveals a wide range of birds according to their feeding habits and their family. A comparative study summarizes that there is no significant difference in bird diversity between two seasons but however the total bird count irrespective of the seasons are alarmingly low and therefore need special attention.Key-Words / Index Term
Sarsuna Satellite Township Area, Avian fauna, Seasonal Variance, Diversity IndicesReferences
[1] C.J. Bibby, N.D. Burgess, D.A. Hill and S.H. Mustoe; “Bird Cen-sus Techniques”, Academic Press, London, pp. 302, 2000.
[2] S. Buckton, “Managing wetlands for sustainable livelihoods at Koshi Tappu Danphe”, 16(1): 12–13, 2007.
[3] T. Corey, E. C. Richard, B. M. Mitchell, M. L. John, T. M. Richard, “The effects of local and landscape habitat attributes on bird diversity in urban greenspaces”, 2018.
[4] B. Dutt, “The Peoples’ Biodiversity Register, meant to empower local communities, is leaving them out”, Environment Magazine, 2020.
[5] R.Grimmett,C. Inskipp ,T. Inskipp , Pocket Guide to the Birds of the Indian Subcontinent, Oxford University Press, New Delhi, India, 1999.
[6] M.O. Hill, “Diversity and evenness: a unifying notation and its consequences”, Ecology, 54: 427–473, 1973.
[7] V. Kapoor, R. Bhadouria, “Ecological economics of an urban settlement: an overview”, Urban Ecology, 2020.
[8] H B Katuwal, K. Basnet, B. Khanal, S. Devkota, S.K. Rai, J.P. Gajurel, C. Scheidegger. “Seasonal Changes in Bird Species and Feeding Guilds along Elevational Gradients of the Central Himalayas”, Nepal, PLOS ONE, 2016.
[9] Kumar, J.P. Sati, P.C. Tak and J.R.B. Alfred, “Handbook on Indian Wetland Birds and their Conservation”, Zoological Survey of India, Kolkata,India, xxvi, pp. 468, 2005.
[10] R.H. McArthur, “On the relative abundance of bird species”, Proc. Natl. Acad. Sci, USA ,43: 293-295, 1957.
[11] M.L. Morrison, “Bird Populations as indicators of environmental change”, In: Johnston, R. (ed.). ,Current Ornithology - Vol. 3. Springer, Boston, pp. 429–451, 522,1986.
[12] O. Olsson, U. Ottosson, “Feeding behavior of birds foraging on predictable resources in habitats of different quality”, Ostrich - Journal of African Ornithology ,78(2):295-298, 2007.
[13] O.L. Petchey, K.J. Gaston, “Functional diversity (FD), species richness and community composition”, Ecology letters Vol. 5 (3): ,402-411, 2002.
[14] E.C. Pielou, "The Usefulness of Ecological Models: A Stock-Taking”, The Quarterly Review of Biology, 56: 17–31, 1981.
[15] S.N. Prasad, T.V. Ramachandra, N. Ahalya, T. Sengupta, A. Kumar, A.K. Tiwari, V.S. Vijayan, L. Vijayan, “Conservation of wetlands of India - a review”, Tropical Ecology, 43(1): 173–186, 2002.
[16] P. Sarma, D. Das, “Application of Shannon`s Index to Study Diversity with Reference to Census Data of Assam”, Gauhati University, January, 2015.
[17] S. Sengupta, M. Mondal, P. Basu, “Bird species assemblages across a rural urban gradient around Kolkata, India”, Urban Ecosystems ,17(2), 2013.
[18] S. Vyas, “Study of diversity indices and ecological characteristics of coastal flora in ‘Bhal’ region (Gujarat)”, Bhakta Kavi Narsinh Mehta University, Junagadh, January ,2013.
[19] J.A. Wiens, “Ecology of Bird Communities”, Cambridge University Press, Cambridge, pp. 539, 1989.
[20] J.B. Zedler, S. Kercher, “Wetland resources: status, trends, ecosystem services, and restorability”, Annual Review of Environment and Resources ,30: 39–74, 2005.
[21] R. Alone, D.Jat, “Butterfly Species Diversity and Abundance at Govt. Holkar Science College Campus, Indore”, International Journal of Scientific Research in Biological Sciences, Vol.8, Issue.6, pp.78-80, December (2021).Citation
Indraneel Saha, Suvajit Dey, Swagata Palit, "Seasonal Variation in Avian Fauna of Sarsuna Satellite Township Area – A Case Study," International Journal of Scientific Research in Biological Sciences, Vol.9, Issue.1, pp.84-91, 2022 -
Open Access Article
Thomas U. Omali
Review Paper | Journal-Paper (IJSRBS)
Vol.9 , Issue.1 , pp.92-99, Feb-2022
Abstract
The Sustainable Development Goals (SDGs) comprising 17 goals and 169 targets is a global strategy for guiding all nations in the course of changing and managing the social, economic, and ecological dimensions of the world. Quantifying a set of measurable indicators for all the goals is essential for monitoring the progress in accomplishing the SDGs. In this regards, geospatial technology is of great importance. Yet, there is less awareness and understanding specifically at the strategic or decision-making level, of the vital and integrative role of geospatial information in implementing the SDGs. Thus, this article focuses on the role of geospatial information tools in monitoring the ecological component of SDGs. The study is guided by parts of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A thorough search was conducted in reputable electronic databases using specific search keywords. A total of 2,192 papers were gathered, which were subjected to exclusion and inclusion criteria resulting into the selection of 104 papers for review. Furthermore, the topical and methodological trends of geospatial technology studies relating to SDGs were discussed. In the conclusion, limitations were identified and future scope was provided.Key-Words / Index Term
environmental, GIS, GPS, remote sensing, SDGs, socioeconomic, technology, United NationReferences
[1] N. Bautista-Puig, A.M. Aleixo, S. Leal, U. Azeiteiro, R. Costas, “Unveiling the Research Landscape of Sustainable Development Goals and Their Inclusion in Higher Education Institutions and Research Centers: Major Trends in 2000–2017,” Front. Sustain. Vol.2, 620743, 2021.
[2] United Nations, “Transforming Our World: the 2030 Agenda for Sustainable Development. In General Assembley 70 Session,” Vol.16301, 2015. https://doi.org/10.1007 /s13398-014-0173-7.2.
[3] United Nations World Water Assessment Programme, “The United Nations world water development report 2018: nature based solutions for water,” UNESCO, Paris: France, pp.139, 2018.
[4] D. Le Blanc, “Towards Integration at Last? the Sustainable Development Goals as a Network of Targets,” Sustain Dev Vol.23, pp.176–187, 2015.
[5] N. Eisenmenger, M. Pichler, N. Krenmayr, D. Noll, B. Plank, et al., “The Sustainable Development Goals Prioritize Economic Growth Over Sustainable Resource use: a Critical Refection on the SDGs from a Socio Ecological Perspective,” Sustainability Science, Vol.15, pp.1101–1110, 2020.
[6] J.D. Sachs, “From Millennium Development Goals to Sustainable Development Goals,” The Lancet, Vol.379, pp.2206–2211, 2012.
[7] B. Ki-Moon, “The Millennium Development Goals Report,” 2015. United Nations Publications, 2015.
[8] S. Fukuda-Parr, D. McNeill, “Knowledge and Politics in Setting and Measuring the SDGs: Introduction to Special Issue,” Global Policy Vol10, pp.5–15, 2019.
[9] H. Tomás, J. Svatava, M. Bedrich, “Sustainable Development Goals: a Need for Relevant Indicators,” Ecological Indicators, 60, pp.565-573, 2016.
[10] S. Aronoff, “Geographic Information Systems: a Management Prespective,” Ottawa, Canada: WDL Publications, 1996.
[11] B.B. Salem, “Application of GIS to Biodiversity Monitoring,” J. Arid Environ. Vol.54, pp. 91– 114, 2003.
[12] M.A. Larson, F.R. Thompson, J.J. Millspaugh, W.D. Dijak, S.R. Shifley, “Linking Population Viability, Habitat Suitability and landscape Simulation Models for Conservation Planning. Ecol. Modelling Vol.180, pp.103-118, 2004.
[13] T. Acharya, D. Lee, “Remote Sensing and Geospatial Technologies for Sustainable Development: A Review of Applications,” Sensors and Materials, Vol.31, Issue.11, pp.3931–3945, 2019.
[14] L.R. Iverson, R.L. Graham, E.A. Cook, “Applications of Satellite Remote Sensing to Forested Ecosystems,” Landscape Ecology, Vol.3, Issue.2, pp.131–143, 1989.
[15] J. Masó, I. Serral, C. Domingo-Marimon, A. Zabala, “Earth Observations for Sustainable Development Goals Monitoring Based on Essential Variables and Driver-Pressure-Stateimpact-Response Indicators,” International Journal of Digital Earth, Vol.13, Issue.2, pp. 217-235. 2019.
[16] United Nations, “Earth Observations for Official Statistics: Satellite Imagery and Geospatial Data Task Team Report,” 2017.
Available from https:// unstats.un.org/bigdata/taskteams/satellite/UNGWG_Satellite_Task_ Team_Report_WhiteCover.pdf.
[17] United Nations, “United Nations Millennium Declaration,” General Assembly 9. 2000.
[18] United Nations, “Transforming Our World: the 2030 Agenda for Sustainable Development,” N Era Glob Heal., 2015. Available from https://doi.org/10.1891/97808 26190123.ap02
[19] K.M. Siegel, M.G. Bastos, “When International Sustainability Frameworks Encounter Domestic Politics: the Sustainable Development Goals and Agri-Food Governance in South America,” World Dev., Vol.135,Issue.C, 2020. DOI: 10.1016/j.worlddev.2020.105053
[20] R.G. Gusmão Caiado, W. Leal Filho, O.L.G. Quelhas, et al “A Literature-based Review on Potentials and Constraints in the Implementation of the Sustainable Development Goals,” J Clean Prod., Vol.198, pp.1276–1288, 2018.
[21] J. Mensah, “Sustainable Development: Meaning, History, Principles, Pillars, and Implications for Human Action: Literature Review,” Cogent Social Sciences, Vol.5, Issue.1, 1653531, 2019. DOI: 10.1080/23311886.2019.1653531
[22] M. Yuan, “Geographical Information Science for the United Nations’ 2030 Agenda For Sustainable Development,” International Journal of Geographical Information Science, Vol.35, Issue.1, pp.1-8, 2021.
[23] N.N. Gulnara, S.M. Wheeler, “Geographic Information Systems as a Tool to Support the Sustainable Development Goals,” International Scholarly and Scientific Research & Innovation Vol.14, Issue.3, pp.78-85, 2020.
[24] B. Ferreira, M. Iten, R.G. Silva, “Monitoring Sustainable Development by Means of Earth Observation Data and Machine Learning: A Review,” Environ. Sci. Eur., Vol.32, pp.120, 2020, (17 pages)
[25] A. Baumgart, E.I. Vlachopoulou, J.D. Vera, S.D. Pippo. Baumgart et al. Sustainable Earth, Vol.4, Issue.6, 2021. (22 pages)
[26] G. Scott, A. Rajabifard, “Sustainable Development and Geospatial Information: A Strategic Framework for Integrating A Global Policy Agenda into National Geospatial Capabilities,” Geo-spatial Information Science, Vol.20, Issue.2, pp.59-76, 2017.
[27] R. Zhang, X. Dong, J. Wang, Y. Guo, Y. Dai, “A Protocol for Systematic Review and Metaanalysis of Optimizing Treatment for Malaria,” Medicine, Vol.99, Issue.36, 2020. (4 pages)
[28] N.R. Haddaway, A.S. Pullin, “The Policy Role of Systematic Reviews: Past, Present and Future,” Springer Sci. Rev., Vol.2, pp.179–183, 2014.
[29] J. Wolf, A. Prüss-Ustün, O. Cumming, J. Bartram, S. Bonjour, et al., “Systematic Review Assessing the Impact of Drinking Water and Sanitation on Diarrhoeal Disease in Low- and Middle-Income Settings: Systematic Review and Meta-Regression. Tropical Medicine and Health,” Vol.19, Issue.8, pp.928–942, 2014.
[30] M. Browning, A. Rigolon, “School Green Space and its Impact on Academic Performance: A Systematic Literature Review,” International Journal of Environmental Research and Public Health, Vol.16, Issue.3, p.429, 2019.
[31] P. Glasbergen, “The Environmental Cooperative: Self-Governance in Sustainable Rural Development,” Journal of Environment and Development Vol.9, pp.240-259, 2000.
[32] S.M. Wheeler, “Planning for Sustainability. Creating Livable, equitable, and Ecological Communities,” New York: Routledge, 2004.
[33] United Nations, “Department of Economic and Social Affairs, Population Division. World population prospects 2019: highlights,” (ST/ESA/SER.A/423), 2019.
[34] A.E. Ercin, A.Y. Hoekstra, “Water Footprint Scenarios for 2050: A Global Analysis,” Environ. Int. Vol.64, pp.71–82, 2014.
[35] M.M. Mekonnen, A.Y. Hoekstra, “Four Billion People Facing Severe Water Scarcity,” Sci. Adv. 2, e1500323, 2016. (6 pages).
[36] Food and Agriculture Organization, “The State of Food and Agriculture 2020,” FAO, Rome, p.210, 2020
[37] UN-Water, “Summary Progress Update 2021: SDG 6 – Water and Sanitation for all,” 2021
[38] UNICEF, “Water Security for all,” UNICEF New York, 2021
[39] World Economic Forum, “Global Risks, ” 10th Edition, Geneva, Switzerland, 2015.
[40] World Health Organization, “Sanitation. Fact Sheets,” 2016. Available from www.who.int
[41] R. Chaudhary, “A Study on Holistic Approach of Solid Waste Management and Climate Change –A Mini Review,” International Journal of Scientific Research in Multidisciplinary Studies, Vol.4, Issue.10, pp.32-38, 2018.
[42] World Health Organization, “Preventing Diarrhoea through better Water, Sanitation and Hygiene: Exposures and Impacts in Low- and Middle-Income Countries,” WHO, Geneva, 2014.
[43] World Health Organization, “Global Costs and Benefits of Drinking-Water Supply and Sanitation Interventions to reach MDG Target And Universal Coverage,” WHO, Geneva, 2012.
[44] H.H.G. Savenije, “Water Scarcity Indicators; the Deception of the Numbers,” Phys. Chem. Earth, Vol.B 25, pp.199–204, 2000.
[45] F.R. Rijsberman, “Water Scarcity: Fact or Fiction? Agric. Water Manage., Vol.80, pp.5–22, 2006.
[46] D. Machiwal, M.K. Jha, B.C. Mal, “Assessment of Groundwater Potential in a Semi-Arid Region of India using Remote Sensing, GIS and MCDM Techniques,” Water Resources Management, Vol.25, Issue.5, pp.1359-1386, 2011.
[47] A. Dai, “Drought Under Global Warming: a Review,” WIREs Clim. Chang., Vol.2, pp. 45–65, 2010.
[48] A.M. Mastrangelo, E. Mazzucotelli, D. Guerra, P. De Vita, L. Cattivelli, “Improvement of Drought Resistance in Crops: from Conventional Breeding to Genomic Selection,” In: Venkateswarlu et al (eds) Crop Stress and its Management: Perspectives and Strategies. Springer Science + Business Media B.V, 2012.
[49] F.I. Okeke, S.O. Mohammed, “Early Warning for Food Security for Nigeria using NigeriaSat1 and other Satellite Images: Applicable Tools and Techniques,” Nigerian Journal of Space Research, Vol.4, pp. 91-126, 2007.
[50] G. Naumann, E. Dutra, P. Barbosa, F. Pappenberger, F. Wetterhall, J.V. Vogt, “ Comparison of Drought Indicators Derived from Multiple Data Sets over Africa,” Hydrol. Earth Syst. Sci., Vol.18, pp.1625–1640, 2014.
[51] E.O. Eguaroje, T.U. Omali, K. Umoru, “Assessment of Drought Occurrence in Kano State, Nigeria,” International Journal of Trend in Scientific Research and Development, Vol.4, Issue.2, pp.297-303, 2020.
[52] World Bank, “Report: Universal Access to Sustainable Energy will Remain Elusive without Addressing Inequalities,” Press release, 7th July, 2021. Available from www.worldbank.org
[53] M. Majidi Nezhad, D. Groppi, F. Rosa, G. Piras, F. Cumo, D.A. Garcia, “Nearshore Wave Energy Converters Comparison and Mediterranean Small Island Grid Integration,” Sustain. Energy Technol. Assess., 30, pp.68–76, 2018.
[54] D.A. Quansah, M.S. Adaramola, L.D. Mensah, “Solar Photovoltaics in Sub-Saharan Africa – Addressing Barriers, Unlocking Potential,” Energy Procedia 106, pp.97–110, 2016. doi: 10.1016/j.egypro.2016.12.108.
[55] World Energy Council, “World Energy Resources 2016. London: WEC. Young, O. R., and Onoda, M. (2017). “Chapter 1.4 Taxonomy of Roles,” in Satellite Earth Observations and Their Impact on Society and Policy, eds M. Onoda and O. Young, Singapore: Springer, pp.13–17, 2016.
[56] International Energy Agency, “Southeast Asia Energy Outlook 2017. Paris: OECD/IEA, 2017.
[57] International Energy Agency, “Africa Energy Outlook: A Focus on Energy Prospects in Sub-Saharan Africa,” Paris: OECD/IEA, 2014. doi: 10.1787/weo-2014-en
[58] J. Smith, D. Bazar, W. Buchan, “Greenspace: Leveraging NASA Capabilities for a Cleaner, Greener Earth,” In Proceedings of the 7th International Energy Conversion Engineering Conference, Denver, CO, USA, 2–5 August, 2009; p.4583.
[59] J.O. Oji, N. Idusuyi, T.O. Aliu, M.O. Petinrin, O.A. Odejobi, A.R. Adetunji, “Utilization of Solar Energy for Power Generation in Nigeria,” International Journal of Energy Engineering, Vol.2, Issue.2, pp.54-59, 2012.
[60] I. Oghogho, “Solar Energy Potential and its Development Fortainable Energy Generation in Nigeria: a Road Map to Achieving this Feat,” International Journal of Engineering and Management Sciences, Vol.5, Issue.2, pp.61-67, 2014.
[61] M.O. Dioha, A. Kumar, “Rooftop Solar PV for Urban Residential Buildings of Nigeria: A Preliminary Attempt Towards Potential Estimation,” AIMS Energy, Vol.6, Issue.5, p.710, 2018.
[62] E.K. Akpinar, S. Akpinar, “An Assessment on Seasonal Analysis of Wind Energy Characteristics and Wind Turbine Characteristics,” Energy Conversion and Management, Vol.46, Issue.11-12, pp.1848-1867, 2005.
[63] S.O. Oyedepo, M.S. Adaramola, S.S. Paul, “Analysis of Wind Speed Data and Wind Energy Potential in Three Selected Locations in Southeast Nigeria,” International Journal of Energy and Environmental Engineering, Vol.3, Issue.1, p.7, 2012.
[64] C. Onyemechi, C.C. Igboanusi, E.A. Ezenwa, “A Logistic Analysis of Nigeria’s Offshore Windfarm Sector,” Int J Res Soc Sci, Vol.4, Issue.4, pp.88–91, 2013.
[65] A. Leibrand, N. Sadoff, T. Maslak, A. Thomas, “Using Earth Observations to Help Developing Countries Improve Access to Reliable, Sustainable, and Modern Energy,” Front. Environ. Sci. Vol.7, p.123, 2019.
[66] I.M.D. Maclean, R. Inger, D. Benson, C.G. Booth, C.B. Embling, et al., “Resolving Issues with Environmental Impact Assessment of Marine Renewable Energy Installations,” Front. Mar. Sci., Vol.75, pp.1–5, 2014.
[67] S. Pandey, A. Mishra, A.K. Chaurasia, P. Bharti, V. Chaudhary. Accountability of Carbon Budget in Changing Global Environment,” International Journal of Scientific Research in Multidisciplinary Studies, Vol.6, Issue.11, pp.34-37, 2020.
[68] C. Le Quéré, R.M. Andrew, J.G. Canadell, S. Sitch, J.I. Korsbakken, et al., “Global Carbon Budget,” Earth Syst. Sci. Data, Vol.8, pp.605–649, 2016.
[69] National Research Council, “Advancing the Science of Climate Change,” Washington, DC: The National Academies Press. 2010. Available from https://doi.org/10.17226/12782.
[70] B.J. Dangermond, M. Artz, “Climate Change is a Geographic Problem,” the Geographic Approach to Climate Change,” Esri, Vol.32, 2010.
[71] T.R. Karl, H.J. Diamond, S. Bojinski, J.H. Butler, H. Dolman, W. Haeberli, … J. Zillman, “Observation Needs for Climate Information, Prediction and Application: Capabilities of Existing and Future Observing Systems. Procedia Environ. Sci., Vol.2010, Issue.1, pp.192-205, 2010.
[72] R. Hollmann, C.J. Merchant, R. Saunders, C. Downy, M. Buchwitz, A. Cazenave, … W. Wagner, “The ESA Climate Change Initiative Satellite Data Records for Essential Climate Variables. B. Am. Meteorol. Soc., Vol.94, Issue.10, pp.1541-1552, 2013.
[73] C. Szczypta, J.C. Calvet, F. Maignan, W. Dorigo, F. Baret, P. Ciais, “Suitability of Modelled and Remotely Sensed Essential Climate Variables For Monitoring Euro-Mediterranean Droughts,” Geosci Model Dev., Vol.7, Issue.3, pp.931-946, 2014.
[74] M. Claverie, J.L. Matthews, E.F. Vermote, C. Justice, “A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description and Validation,” Remote Sens., Vol.8, pp.1–12, 2016.
[75] M. Claverie, J. Ju, J.G. Masek, J.L. Dungan, E.F. Vermote, J.C. Roger, ... C. Justice, “The Harmonized Landsat and Sentinel-2 surface reflectance data set,” Remote Sens. Environ., Vol.219, pp.145–161, 2018.
[76] United Nations, “The Sustainable Development Goals Report,” 2018. Available from (https://unstats.un.org/sdgs/file s/report/2018/TheSustainableDevelopmentGoalsReport2018-EN.pdf) .
[77] D.J. Staples, R. Hermes, “Marine Biodiversity and Resource Management – What is the Link?" ,” Aquatic Ecosystem Health & Management, Vol.15, Issue.3, pp.245–252, 2012. doi:10.1080/14634988.2012.709429.
[78] K. Metcalfe, T. Collins, K.E. Abernethy, R/ Boumba, J.-C. Dengui, et al., “Addressing Uncertainty in Marine Resource Management; Combining Community Engagement and Tracking Technology to Characterize Human Behavior,” Conservation Letters, Vol.10, Issue.4, pp.460–469, 2017.
[79] I.E. Van Putten, E.E. Plagányi, K. Booth, C. Cvitanovic, R. Kelly, A.E. Punt, S,A. Richards, “A Framework for Incorporating Sense of Place into the Management of Marine Systems,” Ecology and Society, Vol.23, Issue.4, 2018. doi:10.5751/ES-10504-230404 .
[80] M. Karydis, D. Kitsiou, “Marine Water Quality Monitoring: a Review,” Mar. Pollut. Bull. Vol.77, pp.23–36, 2013.
[81] F. Dahdouh-guebas, “The use of Remote Sensing and GIS in the Sustainable Management of Tropical Coastal Ecosystems in Environment, Development and Sustainability,” (Vol. 4), 2002. Available from https://doi.org/10.1023/A:1020887204285.
[82] R.L. Ferguson, K. Korfmacher, “Remote Sensing and GIS analysis of seagrass meadows in North Carolina,” USA. Aquatic Botany, Vol.58, Issue.3-4, pp.241-258, 1997.
[83] L.J. McKenzie, M.A. Finkbeiner, H. Kirkman, “Methods for mapping seagrass distribution,” In F.T. Short, R.G. Coles, C.A. Short (Eds.). Global seagrass research methods, Elsevier, Amsterdam, pp.101–121, 2001.
[84] I. Leifer, W.J. Lehr, D. Simecek-Beatty, E. Bradley, R. Clark, P. Dennison, ... J. Wozencraft, et al., “State of the Art Satellite and Airborne Marine Oil Spill Remote Sensing: Application to the BP Deepwater Horizon Oil Spill,” Remote Sens. Environ. Vol.124, pp.185–209, 2012.
[85] M. Fingas, C. Brown, “Review of Oil Spill Remote Sensing,” Mar. Pollut. Bull., Vol. 83, pp.9–23, 2014.
[86] P.M. Digiacomo, L. Washburn, B. Holt, B.H. Jones, “Coastal Pollution Hazards in Southern California Observed by SAR Imagery: Stormwater Plumes, Wastewater Plumes, and Natural Hydrocarbon Seeps,” Mar. Pollut. Bull. Vol.49, pp.1013–1024, 2004.
[87] C. Brekke, A.H.S. Solberg, “Oil Spill Detection by Satellite Remote Sensing,” Remote Sensing of Environment, Vol.95, Issue.1, pp.1-13, 2005.
[88] N. Arslan, “Assessment of Oil Spills using Sentinel 1 C-band SAR and Landsat 8 Multispectral Sensors,” Environmental Monitoring and Assessment, Vol.190, Issue.11, pp.637, 2018.
[89] S.I. Saitoh, S.-I. I., R. Mugo, I.N.N. Radiarta, S.F. Asaga, Takahashi, et al., “Some Operational uses of Satellite Remote Sensing and Marine GIS for Sustainable Fisheries and Aquaculture,” ICES Journal of Marine Science, Vol.68, Issue.4, pp.687-695, 2011.
[90] J.E.M. Watson, N. Dudley, D.B. Segan, M. Hockings, “The Performance and Potential of Protected Areas,” Nature, Vol.515, pp.67–73, 2014.
[91] L.N. Joppa, J.E.M. Baillie, J.G. Robinson, “Protected Areas–are they Safeguarding Biodiversity,” Wiley Blackwell, West Sussex, UK, 2016.
[92] T.U. Omali, F.I. Okeke, “Global Significance of Terrestrial Carbon Stocks,” Vol.15, Issue. 4, pp.33-42, 2020.
[93] F.I. Okeke, T.U. Omali, “Spatio–temporal evaluation of forest reserves in the eastern region of Kogi State using geospatial technology,” J. Trop. Environ., Vol.13, Issue.1, pp.75–88, 2016.
[94] L.N. Joppa, A. Pfaff, “Global Protected Area Impacts,” Proc. Biol. Sci. Vol.278, pp.1633–1638,2011.
[95] C. Nolte, A. Agrawal, K.M. Silvius, B.S. Soares-Filho, “Governance Regime and Location Influence Avoided Deforestation Success of Protected Areas in the Brazilian Amazon,” Proc. Natl. Acad. Sci., Vol.110, pp.4956–4961, 2013.
[96] A. Pfaff, J. Robalino, D. Herrera, C. Sandoval, “Protected Areas’ Impacts on Brazilian Amazon Deforestation: Examining Conservation-Development Interactions to Inform Planning,” PLoS One Vol.10, e0129460, 2015.
[97] J. Schleicher, C. A. Peres, T. Amano, W. Llactayo, N. Leader-Williams, “Conservation Performance of Different Conservation Governance Regimes in the Peruvian Amazon,” Sci. Rep., Vol.7, 11318, 2017.
[98] Z.G. Bai, D.L. Dent, L. Olsson, M.E. Schaepman, “Proxy global assessment of land degradation,” Soil Use and Management Vol.24, pp.223–234, 2008.
[99] C.E. Adams, “Global Land Resources in the Content of Food and Environmental sustaibility,” In Advances in Land Resources Management for the 20th Century, New delhi: Soil Conservation Society of India, p. 655, 2000.
[100] S.K. Behera, A.K. Shukla, “Spatial Distribution of Surface Soil Acidity, Electrical Conductivity, Soil Organic Carbon Content and Exchangeable Potassium, Calcium and Magnesium in Some Cropped Acid Soils of India,” Land degradation & development, Vol.26, Issue.1, pp.71-79, 2015.
[101] K. Umoru, T.U. Omali, S.B.M. Akpata, G.O. Agada, “Assessment of land degradation in abandoned mine site at Okaba in Kogi state of Nigeria,” Global Scientific Journal, Vol.7, Issue.1, pp.839-846, 2019.
[102] K.J. Wessels, S.D. Prince, P.E. Frost, D. Van Zyl, “Assessing the effect of Human Induced Land Degradation in the Former Homeland of Northern South Africa with a 1km AVHRR NDVI Time Sries,” Remote Sensing of Environment, 91:47-67, 2004.
[103] Rashid, M., Romshoo, M. A., & Shakil, A. “Geospatial Tools for Assessing Land Degradation in Budgam District, Kashmir Himalaya India,” J.Earth.Syst.Sci, Vol.120, Issue.3, pp.423-433, 2011.
[104] T.S. Gala, M. Pazner, S. Beyenes, “Evaluating Biophysical Attributes of Environmentally Degraded Landscapes in Northern Ethiopia Using LANDSAT ETM Data and GIS,’’ Ethiopian Journal of Environmental Studies and Management, Vol. 4, Issue.1, 2011.Citation
Thomas U. Omali , "Monitoring the Ecological Component of Sustainable Development Goals using Geospatial Information Tools: A Review," International Journal of Scientific Research in Biological Sciences, Vol.9, Issue.1, pp.92-99, 2022 -
Open Access Article
Tayeb El Maadidi, Ahmed El Aboudi, Hlal El Aid
Research Paper | Journal-Paper (IJSRBS)
Vol.9 , Issue.1 , pp.100-106, Feb-2022
Abstract
The multiple uses of Moroccan forest, the social context, and the limitation of traditional management methods makes it necessary to develop a new management method for forest management in Morocco. Therefore, the forest needs to be managed efficiently for multiple purposes. The present study consists of developing a new management approach for Moroccan forests. This approach will be based on a linear programming model to provide an optimal solution to the current forest management problems. The relevance of the approach and its various components requires a prerequisite for the computerization of forest management in Morocco. This method will be applied to the pine forests in the Oued Laou watershed. The forest is located in the North of Morocco and contains three artificial plantations that are Aleppo pine, Maritime pine, and Monterey pine. They occupy 104 Hectares, 41 Hectares, and 349 Hectares, respectively. To solve the linear programming model, 28 scenarios will be defined for all forests based on harvesting age, silviculture, and a planning horizon for the next 100 years, divided into 20 planning periods of 5 years. The new model should satisfy a maximum of timber production while respecting various management constraints, including land availability, forest normality, sustainable timber volume, and the legal right of grazing. The optimal solution guarantees a volume of wood production equal to 105.753 m3 while preserving the legal right of grazing. The irregular structure of forests will then be converted into a regular one.Key-Words / Index Term
management; forest; linear; programming; model; pine; maritime; Aleppo; Monterey; wood; constraints; solution.References
[1]. F. Assali, “Integrated forest fires management in Morocco: New national strategy and action plan 2019-2028”, Biodiversidade Brasileira-BioBrasil, Vol.1. Issue.1, pp 277-277, 2019.
[2]. National Forest program of Morocco. Available online: https://ma.chm-cbd.net/manag_cons/nsap_ma/pfn
[3]. Energy Policies Beyond IEA Countries : Morocco,2019. Available online: https://www.connaissancedesenergies.org/sites/default/files/pdf-actualites/Energy_Policies_beyond_IEA_Contries_Morocco.pdf
[4]. S.R.J. Sheppard, M. Meitner, “Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups”, Forest Ecology and Management, Vol.207, pp171-187, 2005. https://doi.org/10.1016/j.foreco.2004.10.032
[5]. A.L.D. Augustynczik, J.E. Arce, A.C.L. Silva, “Aggregating forest harvesting activities in forest plantations through Integer Linear Programming and Goal Programming”, Journal of Forest Economics, Vol.24, pp 72-81, 2016. https://doi.org/10.3390/f11070744
[6]. P.A. Santos, A.C. Silva, J.E. Arce, A.L. Augustynczik, “A Mathematical Model for the Integrated Optimization of Harvest and Transport Scheduling of Forest Products”, Forests, Vol.10, issue.12, pp10-11, 2019. https://doi.org/10.3390/f10121110
[7]. O.O. Segun, O. J. Mayowa, “Sustainable Management of Nigerian Forest through Efficient Recovery of Harvesting Residues”, International Journal of Scientific Research in Multidisciplinary Studies, Vol.2, Issue.1, PP1-6, 2016. Available online at www.isroset.org. 8. Y.A. Mezentsev, “Binary Cut-and- Branch Method for Solving Linear Programming Problems with Boolean Variables”. DOOR, 2016.
[8]. A.L.D. Augustynczik, J.E. Arce, R. Yousef, A.C.L. da Silva, “Promoting harvesting stands connectivity and its economic implications in Brazilian forest plantations applying integer linear programming and simulated annealing”, Forest Policy and Economics, Vol.73, pp120-129, https://doi.org/10.1016/j.forpol.2016.09.007
[9]. S.M. Limaei, M.S. Kouhi, T.R. Sharaji, “Goal programming approach for sustainable forest management (case study in Iranian Caspian forests)”, Journal of Forestry Research, Vol.25, pp 429-435, 2014, https://doi.org/10.1007/s11676-014-0472-z
[10]. F.B. Veliz, J.-P. Watson, A. Weintraub, R.J.B. Wets, D.L. Woodruff, “Stochastic optimization models in forest planning: a progressive hedging solution approach”. Annals of Operations Research, Vol.232, pp259-274, 2015, https://doi.org/10.1007/s10479-014-1608-4
[11]. A. Kaya, P. Bettinger, K. Boston, R. Akbulut, Z. Ucar, J. Siry, K. Merry, C. Cieszewski, “Optimisation in Forest Management. Current Forestry” Reports, Vol.2, pp 1-17, 2016. https://doi.org/10.1007/s40725-016-0027-y
[12]. O. Jadidi, S. Zolfaghari, S. Cavalieri, “A new normalized goal programming model for multi-objective problems : A case of supplier selection and order allocation” International Journal of Production Economics, Vol. 148, pp158-165, 2014. https://doi.org/10.1016/j.ijpe.2013.10.005
[13]. S. Menzel, E.M. Nordström, M. Buchecker, A. Marques, “H. Saarikoski, A. Kangas, “Decision support systems in forest management: requirements from a participatory planning perspective”. European Journal of Forest Research Vol.131, pp1367-1379, 2012, https://doi.org/10.1007/s10342-012-0604-y
[14]. L. Diaz-Balteiro, C. Romero, “Making forestry decisions with multiple criteria: A review and an assessment”. Forest Ecology and Management, Vol.255, Issues.8-9, pp3222-3241, 2008. https://doi.org/10.1016/j.foreco.2008.01.038
[15]. M. Demirci, A. Ye?il, P. Bettinger, “Using Mixed Integer Goal Programming in Final Yield Harvest Planning: A Case Study from the Mediterranean Region of Turkey”. Forests, vol. 11, issue.7,pp744-761, 2020. https://doi.org/10.3390/f11070744
[16]. M. Pavan, M. Todeschini, “Multicriteria Decision-Making Methods”. Molecular Sciences and Chemical Engineering, Vol.1, pp.591-629, 2009. https://doi.org/10.1016/B978-044452701-1.00038-7
[17]. T. El Maadidi, A. El Aboudi, N.G.H. Zouaki, Y. Sahel, A. Boujraf, Y. Dallahi, “Pine spices silviculture in morocco: maritime pine as a study case”. Plant Cell Biotechnology and Molecular Biology, Vol.22, Issues.21-22,pp78-84, 2021. https://www.ikprress.org/index.php/PCBMB/article/view/6117
[18]. J. Donald, “Sustainable management of Pinus radiata plantations”, FAO, Office of Assistant Director-General (Forestry Department) Italy, Rome. pp246, 2013. https://www.fao.org/publications/card/en/c/fb2d3ba9-3c2e-5375-9162-4e00b452df77/
[19]. A. Alaoui, S. Laaribya, N. Gmira, “Contribution to the study of the ecology and production of the main species of reforestation in Morocco”. Kastamonu Üni., Orman Fakültesi Dergisi, Vol.11, pp 68-84, 2011.
[20]. T. El Maadidi, A. El Aboudi, N.G.H. Zouaki, Y. Sahel, A. Boujraf, Y. Dallahi, “Silviculture Of Aleppo Pine In The Mediterranean Region: A Case Study From Morocco”. Plant Cell Biotechnology And Molecular Biology, Vol.22, issue.27-28, pp 57-64, 2021. https://www.ikprress.org/index.php/PCBMB/article/view/6185Citation
Tayeb El Maadidi, Ahmed El Aboudi, Hlal El Aid, "Using the Linear Programming in Mediterranean Forest Management : A Study Case from the North of Morocco," International Journal of Scientific Research in Biological Sciences, Vol.9, Issue.1, pp.100-106, 2022
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