Pastoral land use intensity and grazing damage in Al-Jabal Al-Akhdar, Libya
Keywords:
land use intensity,, grazing damage,, Libyan Al-jabalAlakhdar region.Abstract
Extensive co-grazing in the Libyan Al-jabalAlakhdar region is a traditional anthropogenic stress but it has not been systematically evaluated at district level. Land cover of a 90,000 ha study area was mapped by remote sensing and GIS with field survey verification in order to classify land cover, calculate livestock numbers at each unit and evaluate the capacity of each unit. Evaluation of Actual Stocking Rate (ASR) is based on number of livestock, area over which livestock are spread and elevation of its number caused by importing forage. The livestock rates vary geographically so, to calculate a more spatially accurate ASR a raster grid used to give 217 units. The outcomes compared with Government records. Therefore the ASR is organised and presented in terms of frequency distributions for each land cover class. The ASR then adjusted by calculate the mass of supplemental forage which is about 50 kg 100 H-1 day-1 over a three-month period in a year. Calculation of sustainable stocking rate (SSR) depends on required annual biomass intake per animal (R), average fraction of the soil surface covered with annual plant species and edible shrubs (F), averaged palatable biomass after a dry season (P), and X which is a variable that considers both grazing efficiency, as animals do not eat 100% of plants. This study applied three different scenarios to evaluate the factor X. First proposal, the total edible biomass from the sample plots is multiplied by 0.5. Second scenario, X = 0.5 for the annual grass and X = 1 for the shrubs. Third scenario, the value of X is X = 0.5 for the annual grass and adjusted to consider the potential impact of plants palatability. The third scenario gives the best correlation with observed grazing damage at 0.92.
The new outcomes has not been attempted elsewhere, new procedure in calculation of ASR and SSR resulted in improved correlation with an index of environmental damage caused by grazing is presented. The biomass from grass decreases as from shrubs increases as the percentage of cover increases the total biomass is approximately constant at about 815 kg ha1.
References
References:
Abdalrahman, Y., Bzeou, A., & Mohamed, A. (2017). ‘Index of degradation evaluation for pastures lands in Al-Jabal Al-Akhdar region. The fifth Scientific Conference of Environment and Sustainable Development in the Arid and Semi- Arid Regions (ICESD). Ajdabiya, Libya, Ajdabiya University (pp.544-552).
Ahtash, A. E., Biala, A. S., Magid, A. F. & Marhoun, H. M. (2010). Carcass Characteristics of the Libyan Purebred Mahali Goat and their Crosses with Damascus and Morcia Granada Goats. Agricultural and Marine Sciences, 15, 21-27.
Akraim, F., Milad, S., Abdulkarim, A. & Ganem, M. (2008). Wool characteristics of Libyan Barbary sheep in north-eastern Libya: fiber diameter and staple length. Livestock Research for Rural Development, 20(8), 11-19.
Animut, G. & Goetsch, A. L. (2008). Co-grazing of sheep and goats; benefits and constraints. Small ruminant research, 77, 127-145.
Agricultural ministry. (2017). Agricultural Development Achievements Report No.18. El Bayda, Libya: Ministry of Agriculture.
Catchpole, W. R., & Wheeler, C. J. (1992). ‘Estimating plant biomass: A review of techniques’. Australian Journal of Ecology, 17, 121-131.
Congalton, R. G. (1991). A Review of Assessing The Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37(1), 35-46.
Cook, W. C., & Stubbendieck, J. (1986). Range research: Basic problems and techniques. Denver, CO: Society for Range Management.
Coppin, P. R., and Bauer, M. E. (1996). ‘Digital change detection in forest ecosystems with remote sensing imagery’. Remote Sensing Reviews, 13, 207-234.
Di Gregorio, A. & Jansen, L. M. (2000). Land Cover Classification System (LCCS), Classification Concepts and User Manual. Climate, Energy and Tenure Division, FAO. Retrieved from http://www.fao.org/3/a-x0596e/index.html.
Ediriwic-krema, J., and Khorram, K. S. ( 1997). ‘Hierarchical maximum-likelihood classification for improved accuracies’. IEEE Transactions on Geoscience and Remote Sensing, 35(4), 810-816.
El-Barasi, Y. M., Barrani, M. W., El-Amrouni, A. O., & Mohamad, N. F. (2011). Check list of Flora and vegetation on south El-Marj zone: South El-Jabal El-Akhadar - Libya. Annals of Faculty of Engineering Hunedoara. International journal of Engineering 9(3), 141-146.
Estell, R. E., Havstad, K. M., Cibils, A. F., Fredrickson, E. L., Anderson, D. M. Schrader, T. S. & James, D. K. (2012). Increasing shrub use by livestock in world with less grass. Rangeland Ecology and Management 65(6), 553-561.
Evlagon, D., Kommisarchik, S., Gurevich, B., Leinweber, M., Nissan, Y., & Seligman, N. G. (2012). Estimating normative grazing capacity of planted Mediterranean forests in a fire-prone environment. Agriculture Ecosystems & Environment, 155, 133-141.
FAO (1991). Guidelines: land evaluation for extensive grazing. Food and Agricultural Organisation of the United Nations. FAO Soils Bulletin 58, 167. Retrieved from http://www.fao.org/docrep/018/t0412e/t0412e.pdf.
Gamoun, M. (2014). Grazing intensity effects on the vegetation in desert rangelands of southern Tunisia. Journal of Arid Land, 6(3), 324-333.
Gimingham, H. & Walton, K. (1954). Environment and the structure of scrub communities on the limestone plateaux of northern Cyrenaica. Journal of Ecology, 42(2), 505-520.
Gintzburger, G. (1986). Seasonal variation in above-ground annual and perennial phytomass of an arid rangeland in Libya. Journal of Range Management, 39(4), 348-353.
Hegazy, K., Boulos, L., Kabiel, K., & Sharashy, S. (2011). Vegetation and species altitudinal distribution in Al-Jabal Al-Akhdar, Libya. Pakistan Journal of Botany, 43(4) 1885-1898.
Jensen, J. R. (1996). Introductory digital image processing, A remote sensing perspective, New Jersey: Prentice Hall.
Kosmas, C., Ferrara, A., Briassouli, H., & Imeson, A. (1999). The Medalus project: Mediterranean desertification and land use. Brussels, Belgium: European Commission, Directorate-General for Science, Research and Development.
Kosmas, C. (2011). Indicators and thematic strategy for soil protection’. International Congress of European Society for Soil Conservation. Thessaloniki: Ministry of Rural Development and Food.
Ludwig, A., David, J., Tongway, J., Bastin, N., & James, D. (2004). Monitoring ecological indicators of rangeland functional integrity and their relation to biodiversity at local to regional scales. Austral Ecology, 29, 108–120.
Louhaichi, M., Salkini, K. & Peterson, L. (2009). Effect of small ruminant grazing on the plant community characteristics of semiarid Mediterranean ecosystems. Journal of Agriculture and Biology, 11, 681-689.
McGwire, K. C., Estes, E. J., and Star, L. J. (1996). ‘A comparison of maximum likelihood-based supervised classification strategies’. Geocarto International, 11(2), 3-13.
Mulonda, O. (2011). Estimation of biomass production in the rangelands of the Caprivi Region: University of Namibia.
Mysterud, A. (2006). Current management: The concept of overgrazing and its role in management of large herbivores. Wildlife Biology, 12(2), 129-141.
Nilsson, T. (2001). Management of communal grazing land: A case study on institutions for collective action in Endabeg village, Tanzania Tobias Nilsson Stockholm: Royal Institute of Technology, Department of Infrastructure and Planning.
Oba, G., & Kaitira, L. M. (2006). Herder knowledge of landscape assessments in arid rangelands in Northern Tanzania. Journal of Arid Environments, 66, 168-186.
Omar Al-Mukhtar University. (2005). Study and evaluation of land cover for Al-jabal Alakhdar area. El Bayda, Libya, Omar Al-Mukhtar University, p. 2-75.
Pietikainen, V. (2006). Measures to prevent overstocking and overgrazing in woodlands: A case study in Babati, northern Tanzania. Spring semester: University College.
Rogosic, J., Pfister, A., Provenza, D. & Grbesa, D. (2006). Sheep and goat preference for and nutritional value of Mediterranean maquis shrubs. Small Ruminant Research, 64, 169–179.
Rowntree, K., Duma, M., Kakembo, V., & Thornes, J. (2004). Debunking the myth of overgrazing and soil erosion. Land degradation and Development, 15, 203-214.
Thorne, M. S., & Stevenson, M. H. (2007). Stocking rate: The most important tool in the toolbox. Pasture and Range Management; (PRM-4) (pp 10 - 17). Honolulu (HI): University of Hawaii.
Viera, J. A., & Garrett, M. J. (2005). ‘Understanding interobserver agreement: The Kappa statistic’. Family Medicine, 5, 360-363.
