<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2017.82012</article-id><article-id pub-id-type="publisher-id">AS-74237</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Spatial-Temporal Analysis of Territorial Transformations in the State of Sinaloa Mexico Using Geographic Information Systems
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wenseslao</surname><given-names>Plata Rocha</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gabriela</surname><given-names>Corrales Barraza</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Geovanna</surname><given-names>Guadalupe Hinojoza Castro</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sergio</surname><given-names>Alberto Monjardin Armenta</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jose</surname><given-names>Carlos Beltrán González</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Héctor</surname><given-names>Enrique Rodríguez Lozoya</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Faculty of Earth and Space Sciences, Autonomous University of Sinaloa, Culiacán, Mexico</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>02</month><year>2017</year></pub-date><volume>08</volume><issue>02</issue><fpage>171</fpage><lpage>182</lpage><history><date date-type="received"><day>October</day>	<month>6,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>February</month>	<year>18,</year>	</date><date date-type="accepted"><day>February</day>	<month>21,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In the last years the whole planet has been suffering remarkable changes, including the land use and cover, and that this is one of the many components of the global change. The present study has as main objective described the changes of land use and cover occurred in the State of Sinaloa during the period 1976-2011. For this, we used 4 maps of land use and vegetation of 1976, 1993, 2007 and 2011. This analysis was carried out applying statistical techniques and Geographic Information Systems (GIS). The methodology is based on the analysis of the cross-tabulation matrix or change matrix, from which it is possible to obtain indicators of change for each time interval analyzed (1976-1993, 1993-2007 and 2007-2011), as well as the gain and loss of each of the 10 categories contained in the maps. To raise the level of details in the analysis were studied the annual changes considering for this the intensity of the gains and annual losses. Also we elaborated graphs and maps that allow us describing and identifying the magnitude and spatial distribution of the changes. The results obtained show a deterioration in the rainforest, important changes in the irrigated and seasonal agriculture and the spatial exchanges in the forest areas, as well as a considerable increase in the urban areas.
 
</p></abstract><kwd-group><kwd>Change</kwd><kwd> Use</kwd><kwd> Intensity</kwd><kwd> GIS</kwd><kwd> Mexico</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In the last years, important and significant changes have been produced in the world, due to the conversion of the use and land cover, influencing global sustainability and the quality of life of the population [<xref ref-type="bibr" rid="scirp.74237-ref1">1</xref>] .</p><p>These changes are produced by the interaction between the human and natural environment, are important factor in economic development but also in the environmental impact of different ecosystems [<xref ref-type="bibr" rid="scirp.74237-ref2">2</xref>] . In such a way that it is recognized at worldwide level the importance of study and understand the dynamics of the land use and land cover and its effects and impacts on the structure and functioning of the ecosystems [<xref ref-type="bibr" rid="scirp.74237-ref3">3</xref>] .</p><p>Under this concern many of research initiatives were promoted at global, regional and local level, acknowledging that an important part of the global environmental system and a precursor cause of global climate change, to the dynamics of land uses. Based on this research initiative was conformed, “Analysis of the change of use and land cover” (LUCC, for its acronym in English “Land Use and Cover Change”), where they have been framed and developed a large number of projects and studies in this discipline, which has promoted the new science of land use and land cover changes.</p><p>The main advances in this science is to study the observation and monitoring of the dynamics of land use, to understand the causes, impacts and consequences of these changes in our territory and its population [<xref ref-type="bibr" rid="scirp.74237-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref8">8</xref>] .</p><p>Mexico does not escape from these global trends, presenting important changes processes of land use and land cover in its nearly two million square kilometers. In general a lot of changes that are beyond the world average in terms of deforestation rates, increased areas of cultivation and grazing, urban sprawl are observed among many others [<xref ref-type="bibr" rid="scirp.74237-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref12">12</xref>] .</p><p>Likewise, specific works were performed in various parts of the country that have been identified and quantified the impacts caused by alteration processes and deforestation in forest communities [<xref ref-type="bibr" rid="scirp.74237-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref16">16</xref>] .</p><p>In this regard, Sinaloa is a region with a significant and varied biodiversity and with a lot of livestock, agriculture, aquaculture, industrial, commercial, tourism, forest resources among others; which present a dynamic that has changed the landscape and fragmented state, affecting the sustainability of the territory.</p><p>Given this problem, our main objective is to study and describe the dynamics of land use and land cover in the state of Sinaloa between 1976 and 2011 using the method proposed by Pontius, Aldwaik and others [<xref ref-type="bibr" rid="scirp.74237-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.74237-ref18">18</xref>] .</p><p>For this, we use the maps of land use and land cover of the years 1976, 1993, 2007 and 2011 obtained from the National Institute of Ecology and Climate Change (INECC by its acronym in Spanish) and National Institute of Statistics and Geography (INEGI by its acronym in Spanish), Geographic Information Systems (GIS), vector and raster processing and analysis of geospatial information.</p></sec><sec id="s2"><title>2. Study Area and Data</title><sec id="s2_1"><title>2.1. Study Area</title><p>Sinaloa, like others in the country, has suffered a great impact on their environment, landscape, natural areas, mainly as a result of the economic and demographic dynamics, which impacts on the ecosystems, that are under a lacking and inadequate territorial planning. This dynamic is due to the geographical location of the state, which is situated northwest of the country between the coordinates 27˚02' and 22˚29' north latitude and 105˚24' and 109˚27' west longitude. The state bounds North with the states of Sonora and Chihuahua, South to the state of Nayarit and the Pacific Ocean, East with Chihuahua, Nayarit and Durango and to the West with the Pacific Ocean (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The total area of the state of Sinaloa is 57,365 square kilometers, which represents the 2.9% of the total area of the country. According to INEGI, the state has experienced an increase in the population from 1,266,528 inhabitants in 1970 to 2,767,761 by 2010.</p></sec><sec id="s2_2"><title>2.2. Data</title><p>For this analysis were used 4 maps of land use and land cover of the years 1976, 1993, 2007 and 2011, designed to the scale 1:250,000, which can show the state of vegetation in the entire territory, maintaining an acceptable degree of detail for the characteristics of our country.</p></sec></sec><sec id="s3"><title>3. Methodology</title><p>A comprehensive, robust and detail study of the dynamics of land use and land cover must have an analysis of stationary changes during time intervals besides of the annual intensity per time period and the real intensity by category, also its relation with the uniform intensity change.</p><p>To perform this study, first were collected all the official maps of land use and land cover, and then was necessary to reclassify, standardize and validate them, in order to have maps with a correct equivalence in legend and no topology errors. In this way were obtained 4 different maps with a total of 10 categories and with a level of detail to check the processes of change in land use statewide (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>To do the change analysis the method used was the one created by Pontius [<xref ref-type="bibr" rid="scirp.74237-ref18">18</xref>] , which get part of the results of a matrix of cross-tabulation between the land use maps from the different dates (1976-1993, 1993-2007 and 2007-2011).</p><p>The annual rate of change per time period was also obtained, and the intensity of gains “Equation (1)” and intensity of losses “Equation (2)” for each category [<xref ref-type="bibr" rid="scirp.74237-ref17">17</xref>] .</p><disp-formula id="scirp.74237-formula16"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-3001543x2.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.74237-formula17"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-3001543x3.png"  xlink:type="simple"/></disp-formula><p>Moreover, based in the different types of vegetation and land use for different times, the exchange rate were calculated using the equation used by the Food and Agriculture Organization of the United Nations (FAO, by its acronym in English).</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Maps of land use and land cover (Source: INEGI, http://www.inegi.org.mx/)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x4.png"/></fig><disp-formula id="scirp.74237-formula18"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-3001543x5.png"  xlink:type="simple"/></disp-formula><p>where t is the exchange rate (to express in % it is necessary to multiply by 100); S<sub>1</sub> is the surface at Time 1; S<sub>2</sub> is the surface at Time 2 and n is the number of years between the two dates. Finally, the analysis was performed using the software IDRISI and Land Change Modeler module, based on the methodological framework displayed in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s4"><title>4. Results</title><sec id="s4_1"><title>4.1. Quantitative Analysis</title><p>At first instance, the analysis found that the categories that represents the largest areas are mainly; rainforests (up 40%), irrigated agriculture and humidity (up to 19%), forests (15%) and seasonal agriculture (up 15.9%). It was also found that rainforest has decreased by more than 5%, while forests maintain their surface. Irrigated agriculture increased 4% and seasonal agriculture increased 2%. Meanwhile, human settlements increased 1%, which seems little, but it means a significant change compared to its initial surface which increased in 10 times (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>Analyzing the changes between the time intervals (1976-1993, 1993-2007 and 2007-2011) it can be seen that seasonal and irrigated agriculture and rainforests are those that had the highest annual gains, while forests is the one with the biggest annual loss, followed by seasonal agriculture. Here, it was found that there is a very strong exchange in the categories of seasonal agriculture and rainforests, since both tend to win and lose, and if we pay attention to forests these practically lose and gain the same area in both periods (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>Now, if are examine the gains and losses but from the point of view of uniform intensity (<xref ref-type="fig" rid="fig5">Figure 5</xref>), it was found that the increase in human settlements</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Methodological framework for the analysis of changes in land use and land cover. Source: Modified from Aldwaik &amp; Pontius Jr., 2012 [<xref ref-type="bibr" rid="scirp.74237-ref17">17</xref>] </title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x6.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Surface of the 10 categories in the years 1976, 1993, 2007 and 2011</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x7.png"/></fig><p>makes it the category that grew with a greater annual intensity in the first two periods, decreasing in the third interval. It also shows that the loss and gain of grasslands had a very annual active intensity in the three-time intervals analyzed.</p><p>Likewise, was determined that even if rainforest was the category with the most significant gains and losses in the three periods of time, its annual intensity change is considered inactive with respect to the uniform in each time interval, because of its large extension of surface in the state of Sinaloa. This is not the case for seasonal agriculture, which was also one of the categories with the biggest changes, and which has an active annual intensity over the uniform intensity in each period.</p></sec><sec id="s4_2"><title>4.2. Spatial Analysis of the Most Significant Changes</title><p>From the spatial point of view, it is noticed that irrigated agriculture increases occupying areas of seasonal agriculture in the north-central and southern area of the state, because to the implementation of irrigation systems during the 37 years analyzed. It is also noted that agriculture loses surfaces due to the increase in the major urban areas of the state. While the losses in rainforests are mainly due to the authorization of land for pasture and planting at the bottom of the mountains of Sinaloa, as well as the increase in irrigated agriculture and urban areas (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Gains (solid color) and loss (hatched color) per year between the three time intervals analyzed</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x8.png"/></fig><p>The population growth by the economic height which has led to a rapid process of urbanization throughout the state, increasing the number of urban areas and the concentration of population in the cities, having 78% of the total state population in urban areas and 22% in rural areas according to INEGI.</p><p>In this regard, physical growth resulting from such dynamic, that distinguish the major cities such as; Culiacan, Mazatl&#225;n, Los Mochis and Guasave, generates the gradual growth between these, the rural and urban areas which are located in</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Annual intensity presented at the three time intervals for gains (solid color) and loss (hatched color)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x9.png"/></fig><p>their territories of economic influence, which favors the territorial operation of the cities on the basis of urban metropolitan type processes.</p><p>The municipality of Culiacan decisively involved in the process of the state development, not only because of its privileged geographical location but also because the city of Culiacan is the capital of the state of Sinaloa. The main urban trends that characterize the entity are manifested with a solid growth between 1976 and 1993, continuing with the urban sprawl away from the area consolidated. This growth appears since the 90 s up to the present, result of the development of residential and areas that were designed cities with different urban centers with all the services (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p></sec><sec id="s4_3"><title>4.3. Annual Rates of Change</title><p>Based on the corresponding surfaces to the different types of land use and</p><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Changes in irrigated and seasonal agriculture, rainforests and human settlements between 1976 and 2011</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x10.png"/></fig><p>vegetation for the different periods of time, the rates of changes were calculated according to the equation used by FAO.</p><p>From <xref ref-type="table" rid="table1">Table 1</xref>, it can be understood that the category with the highest rate is human settlements, with more than 7% in the first two periods and grasslands in the second period. The other categories that show positive rates are the two agriculture, water and other types vegetation, while shrub-land and grassland rates show significant losses in the first and third periods.</p><p>Another important change in this period is presented in grasslands, with a significant gain, because in this type of surface was cultivated for cattle raising, mainly at the north of the state. The rest of the categories do not show significant changes.</p><p>The categories with the most significant changes are rainforest, with a negative rate, and the agriculture and human settlements, with positive rates. These categories modified the landscape, by changing the territory of the state de Sinaloa, the coastal and mountain ecosystems, along with the social, environmental and economic indicators.</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>The result of this research shows that the territorial changes occurred in state of Sinaloa during the past 4 decades. It’s where stands out the transition from seasonal to irrigated agriculture, due to the construction of dams in the mountains</p><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> Urban growth of the main cities of the state of Sinaloa, Mexico</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-3001543x11.png"/></fig><p>of State, which enable the irrigation systems that have been given increase to the intensive agriculture in the region.</p><p>Likewise, it was possible to determine the impact of the loss of rainforests (400,000 ha.) and the increase of urban areas (human settlements) (56,000 ha.) in the landscape of Sinaloa. Even though forest exceeds 10 times the increase in urban areas, it was resolute that the annual intensity of urban area is very active while the forest is inactive, mainly due to the type of surfaces involved in each category in the state.</p><p>The methodology used allowed to estimate the gains and losses in each category and its annual intensity. This allows us to determine the changes that impact the</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Annual exchange rates</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >CATEGOR&#205;AS</th><th align="center" valign="middle" >1976-1993</th><th align="center" valign="middle" >1993-2007</th><th align="center" valign="middle" >2007-2011</th><th align="center" valign="middle" >1976-2011</th></tr></thead><tr><td align="center" valign="middle" >Irrigated agriculture and humidity</td><td align="center" valign="middle" >1.05</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >1.13</td><td align="center" valign="middle" >0.83</td></tr><tr><td align="center" valign="middle" >Seasonal agriculture</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.44</td></tr><tr><td align="center" valign="middle" >Human Settlement Built</td><td align="center" valign="middle" >7.64</td><td align="center" valign="middle" >8.48</td><td align="center" valign="middle" >1.02</td><td align="center" valign="middle" >7.19</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >−0.03</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Water</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >−0.21</td><td align="center" valign="middle" >−0.19</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Shrub-land</td><td align="center" valign="middle" >−1.77</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >−3.05</td><td align="center" valign="middle" >−0.83</td></tr><tr><td align="center" valign="middle" >Other types of vegetation</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >−5.37</td><td align="center" valign="middle" >1.15</td><td align="center" valign="middle" >−2.04</td></tr><tr><td align="center" valign="middle" >Grassland</td><td align="center" valign="middle" >−2.21</td><td align="center" valign="middle" >6.11</td><td align="center" valign="middle" >−0.77</td><td align="center" valign="middle" >1.20</td></tr><tr><td align="center" valign="middle" >Rainforest</td><td align="center" valign="middle" >−0.43</td><td align="center" valign="middle" >−0.70</td><td align="center" valign="middle" >−0.45</td><td align="center" valign="middle" >−0.54</td></tr><tr><td align="center" valign="middle" >Hydrophilic vegetation</td><td align="center" valign="middle" >−0.96</td><td align="center" valign="middle" >3.32</td><td align="center" valign="middle" >−0.11</td><td align="center" valign="middle" >0.83</td></tr></tbody></table></table-wrap><p>territory, both in terms of quantity and intensity.</p><p>It is important to emphasize the fact that by generalizing the 4 maps of land use in 10 homogeneous categories some of the changes were lost between some categories that mark the dynamics of the territory in the state, for example, the types of forests and types of agriculture. It is also necessary to study the dynamics of human settlements in more detail, however, in these maps this category is mapped in a single category.</p><p>Finally, it is verified by the fact that the state of Sinaloa, Mexico has great agricultural potential, which in the past 4 decades reached a surface higher than 2,000,000 hectares, and has a great environmental and productive value with respect of forest areas, having in 2011 with more than 3,000,000 hectares.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This work was carried out in the framework of PROFAPI 2014/160: Simulation of 3 scenarios (Trend, Crisis and Sustainability) of land use, through multi-criteria evaluation techniques and GIS. Case of study: the State of Sinaloa, Mexico.</p></sec><sec id="s7"><title>Cite this paper</title><p>Rocha, W.P., Barraza, G.C., Castro, G.G.H., Armenta, S.A.M., Gonz&#225;lez, J.C.B. and Lozoya, H.E.R. 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