Land Use/Cover and Productivity in the Compact Agricultural Areas of Mexico

Jesús Soria-Ruiz; Yolanda Fernandez-Ordoñez; Guillermo Medina-Garcia; Gabriel Diaz-Padilla

doi:10.4236/jep.2014.516143

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JEP> Vol.5 No.16, November 2014

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Land Use/Cover and Productivity in the Compact Agricultural Areas of Mexico

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DOI: 10.4236/jep.2014.516143 2,573 Downloads 3,108 Views Citations

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Jesús Soria-Ruiz^1*, Yolanda Fernandez-Ordoñez², Guillermo Medina-Garcia³, Gabriel Diaz-Padilla⁴

Affiliation(s)

¹Geomatics Lab, National Institute of Research for Forestry Agricultural and Livestock (INIFAP), Zinacantepec, Mexico.
²Postgraduate College in Agricultural Sciences (COLPOS) Campus Montecillo, Texcoco, México.
³National Institute of Research for Forestry Agricultural and Livestock (INIFAP), Zacatecas, Mexico.
⁴Agromaps-Lab, National Institute of Research for Forestry Agricultural and Livestock (INIFAP), Veracruz, Mexico.

ABSTRACT

This paper presents a method to associate land use/cover with productivity in 16 Agrotech Observatories (AOTs) in Mexico. Compact agricultural areas in Mexico have been identified, which are monitored as to their behavior concerning production and rural productivity in a network of AOTs, which is a compact agricultural area representative of agro-ecological, technological and social conditions in the country. To optimize production and agricultural productivity in compact areas, a multidisciplinary and holistic approach with four lines of activity (agro-ecological, technological, economic, and social), and ten actions are used. The objective of this work was to obtain the land use/cover and productivity of sixteen compact agricultural areas (AOTs) in the Mexican Republic, using panchromatic and multispectral SPOT 5 imagery, in order to provide information to the agricultural sector of the country, and to support decision making contributing to the optimization of production in areas with high actual and potential productivity. As an example, in this paper the land use/cover and productivity “AOT 20 Hidalgo” were described. Currently, it is important to have updated and accurate information to support actions and programs of federal, state and local government for farmers, particularly in compact areas with high agricultural production potential.

KEYWORDS

Land Use/Cover, Productivity, SPOT Images, Agrotech Observatories, Mexico

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Soria-Ruiz, J. , Fernandez-Ordoñez, Y. , Medina-Garcia, G. and Diaz-Padilla, G. (2014) Land Use/Cover and Productivity in the Compact Agricultural Areas of Mexico. Journal of Environmental Protection, 5, 1509-1519. doi: 10.4236/jep.2014.516143.

References

[1]	Steffen, W., Crutzen, P.J. and McNeill, J.R. (2007) The Anthropocene: Are Humans Now Overwhelming the Great Forces of Nature. AMBIO-A Journal of the Human Environment, 36, 614-621. http://dx.doi.org/10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2

[2]	Verburg, P.H., Erb, K.-H., Mertz, O. and Espindola, G. (2013) Land System Science: Between Global Challenges and Local Realities. Current Opinion in Environmental Sustainability, 5, 433-437. http://dx.doi.org/10.1016/j.cosust.2013.08.001

[3]	Gutman, G., Janetos, A.C., Justice, C.O., Moran, E.F., Mustard, J.F., Rindfuss, R.R. and Cochrane, M.A. (2005) Land Change Science: Observing, Monitoring and Understanding Trajectories of Change on the Earth’s Surface. Springer, Berlin.

[4]	Turner, B.L., Lambin, E.F. and Reenberg, A. (2007) The Emergence of Land Change Science for Global Environmental Change and Sustainability. Proceedings of the National Academy of Sciences, 104, 20666-20671. http://dx.doi.org/10.1073/pnas.0704119104

[5]	Reenberg, A. (2009) Land System Science: Handling Complex Series of Natural and Socio-Economic Processes. Journal of Land Use Science, 4, 1-4. http://dx.doi.org/10.1080/17474230802645618

[6]	Verburg, P.H., Erb, K.-H., Mertz, O. and Espindola, G. (2013) Land System Science: Between Global Challenges and Local Realities. Current Opinion in Environmental Sustainability, 5, 433-437. http://dx.doi.org/10.1016/j.cosust.2013.08.001

[7]	Müller, D. and Munroe, D.K. (2014) Current and Future Challenges in Land Use Science. Journal of Land Use Science, 9, 133-142. http://dx.doi.org/10.1080/1747423X.2014.883731

[8]	Homer, C. and Barnes, C. (2009) Land Cover Institute, Mission. Center of Earth Resources Observation and Science (EROS) USGS-LCI. Sioux Falls, SD. Diptic.

[9]	Herold, M., Latham, J.S., Di Gregorio, A. and Schmullius, C.C. (2006) Evolving Standards in Land Cover Characterization. Journal of Land Use Science, 1, 157-168. http://dx.doi.org/10.1080/17474230601079316

[10]	Comber, A.J., Wadsworth, R.A. and Fisher, P.F. (2008) Using Semantics to Clarify the Conceptual Confusion between Land Cover and Land Use: The Example of “Forest”. Journal of Land Use Science, 3, 185-198. http://dx.doi.org/10.1080/17474230802434187

[11]	Ustin, S. (2004) Remote Sensing for Natural Resources Management and Environmental Monitoring. 3rd Edition, Vol. 4, John Wiley & Sons, Inc., Hoboken.

[12]	Taylor, J., Sannier, C., Delince, J. and Gallego, J. (1997) Regional Crops Inventories in Europe Assisted by Remote Sensing: 1988-1993. Synthesis Report of the MARS Project-Action 1.

[13]	Soria-Ruiz, J., Fernández-Ordonez, Y.M. and Granados-Ramírez, R. (2004) Methodology for Prediction of Corn Yield Using Remote Sensing Satellite Data in Central Mexico. Investigaciones geográficas, 55, 61-78.

[14]	ESRI (2011) ArcGis 10. Understanding Our World. Redlands.