<?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">GEP</journal-id><journal-title-group><journal-title>Journal of Geoscience and Environment Protection</journal-title></journal-title-group><issn pub-type="epub">2327-4336</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/gep.2017.513002</article-id><article-id pub-id-type="publisher-id">GEP-81408</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Factors Affecting SOC and NPK in the Rangeland, Forest and Agriculture; Case Study Halashi Catchment, Kermanshah, Iran
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shohreh</surname><given-names>Abdolmohamadi</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>Alireza</surname><given-names>Ildoromi</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>Mosayeb</surname><given-names>Heshmati</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Soil Conservation and Watershed Management Department, Kermanshah Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran</addr-line></aff><aff id="aff1"><addr-line>Faculty of Natural Resources, Malayer University, Malayer, Iran</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>heshmati46@gmail.com(MH)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>27</day><month>12</month><year>2017</year></pub-date><volume>05</volume><issue>13</issue><fpage>18</fpage><lpage>30</lpage><history><date date-type="received"><day>12,</day>	<month>November</month>	<year>2017</year></date><date date-type="rev-recd"><day>25,</day>	<month>December</month>	<year>2017</year>	</date><date date-type="accepted"><day>28,</day>	<month>December</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>
 
 
  Land use change causes soil disturbance and thereby considerable soil nutrients depletion and environmental impacts. This research was conducted in Halashi catchment, Kermanshah, Iran to compare the variation of soil NPK and SOC in Agricultural Lands (AL), Rangelands (RL) and Forest lands (FL). The coverage of ground surface including plant crown, stone and litter was estimated in field by using quadrate plot (1 m
  <sup>2</sup>). Soil sampling and the analysis were carried out for each land use during April and May, 2015. Inter-rill, rill, gully and landslide were found as the dominant erosion features. The ANOVA analysis explored no considerable differences for soil texture, pH and Electrical Conductivity (EC). High clay and silt content induced clayey and silty soil that means Soil Organic Carbon (SOC) level in the AL, RL and FL were 1.14%, 1.45% and 2.13%, respectively, showing significant (p ≤ 0.05) different from each other among them. The respective values of total N in the AL, RL and FL were 0.14, 0.14 and 0.18 mg/kg, indicating significant decrease in the AL and RL. The respective mean avails P and exch. K in the AL, RL and FL were 15.72, 11.44, 11.38; 342.5, 375.0 and 374.5 mg/kg. Crop residues burning and tillage practicing cause depletion of SOC and NPK in AL, while as compared with FL, lower vegetation canopy and litter in the RL promotes soil nutrients and SOC lost due to overgrazing and converting to rain-fed lands. As a conclusion, rangeland was the intermediate site in terms of soil nutrient and SOC stock in the Halashi.
 
</p></abstract><kwd-group><kwd>Halashi Catchment</kwd><kwd> Soil Nutrients</kwd><kwd> Organic Carbon</kwd><kwd> Tillage Practice</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The change of Land use, especially converting range and forest to rain-fed areas causes soil disturbance and thereby considerable environmental impacts. It is a major worldwide environmental problem affecting climate, soil nutrient depletion, vegetation coverage, economy and human welfare due to decline in soil quality and health caused by misuse of agriculture and rangeland [<xref ref-type="bibr" rid="scirp.81408-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref2">2</xref>] . However, off-site impacts of losing soil nutrients through land use have been regarded as one of the most global warming and aquatic pollution (eutrophication) phenomena [<xref ref-type="bibr" rid="scirp.81408-ref3">3</xref>] .</p><p>In Iran, the size, abundance and biodiversity of rangeland and forest have been destroyed by human activities such as improper grazing, fragmentation and converting to agricultural land depleting 50% of SOC and 15% soil N [<xref ref-type="bibr" rid="scirp.81408-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref5">5</xref>] .</p><p>Gully thresholds were reduced significantly in the rain-fed area in comparison with adjacent rangeland [<xref ref-type="bibr" rid="scirp.81408-ref6">6</xref>] . Reduction in erosion thresholds was related to native vegetation cover and thereby soil organic carbon contents, particularly grasses. The flexible stems and strong root systems of grasses reduce overland flow velocity and capture loaded sediment particles [<xref ref-type="bibr" rid="scirp.81408-ref7">7</xref>] . Converting rangelands and forest to marginal areas such as rain-fed lands contribute to negative changes in critical soil characteristics. It is reported as the considerable environmental challenges in Zagros, Iran. Thus, converting rangeland and forest in the Zagros area attribute to significant depletion of soil nutrients and organic carbon [<xref ref-type="bibr" rid="scirp.81408-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref10">10</xref>] . It is estimated that there were 9.4 million grazing animals in the rangelands and forests in the upper Karkheh Basin, which is a part of the Zagros regions [<xref ref-type="bibr" rid="scirp.81408-ref5">5</xref>] .</p><p>In these areas, overgrazing is carried out by rural inhabitants and nomads that exist above the carrying rangeland capacity declining their dry forage and condition. In addition, Zagros forests are being accelerated fragmentation in the vicinity of the agricultural areas due to logging and cultivation practices. Fragmented forests cause rapid change in land use leading to larger perimeter/forest path ratio resulting in soil quality degradation [<xref ref-type="bibr" rid="scirp.81408-ref11">11</xref>] .</p><p>However, off-site impacts of improper agricultural activities, overgrazing and deforestation are related to NPK depletion and SOC flux. For instance, 50% of N and 30% of P removed from agricultural areas end up in rivers [<xref ref-type="bibr" rid="scirp.81408-ref3">3</xref>] . Most cultivated soils have lost between 30% and 50% of their original SOC pool, whereas severely eroded soils may have lost 70 - 80 percent [<xref ref-type="bibr" rid="scirp.81408-ref12">12</xref>] . In contrast, plant patches of rangeland and forest play an important role in reducing erosive processes, enhancing water infiltration and promoting nutrient cycling [<xref ref-type="bibr" rid="scirp.81408-ref13">13</xref>] .</p><p>Improper tillage practices strongly accelerate soil erosion processes by destroying soil organic matter (SOM) and soil structure [<xref ref-type="bibr" rid="scirp.81408-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref15">15</xref>] . The improper utility of rangeland cause soil erosion mainly gullies erosion control and thereby nutrients and SOC stocks [<xref ref-type="bibr" rid="scirp.81408-ref16">16</xref>] . Different land use affecting SOC fluxes in the rangeland, orchard and rain-fed in China revealed that SOC depletion in rain-fed site was lower than that other sites [<xref ref-type="bibr" rid="scirp.81408-ref17">17</xref>] . The steep slope agricultural landscape cause considerable NPK depletion and SOC emotion during rainfall event [<xref ref-type="bibr" rid="scirp.81408-ref18">18</xref>] .</p><p>This research was carried out during 2015-16 in Halashi catchment, Kermanshah, Iran to compare the variation of soil NPK and SOC in different land uses including rangeland, forest and agricultural areas.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. The Study Area</title><p>This study was conducted at the Halashi catchment, located about 30 km southeast of Kermanshah, Iran (<xref ref-type="fig" rid="fig1">Figure 1</xref>) where is a part of Zagros mountain chains, at the west of Iran. The study area (7357 ha) included forest (927 ha), rangeland (2229 ha) and agriculture (4200 ha). It lies between 34˚00'38&quot;N to 34˚09'20&quot;N and 47˚04'20&quot;E to 47˚21'15&quot;E (UTM 1984; zone 38 N). The minimum and maximum elevations above sea level are 1440 and 2720 m, respectively that means annual precipitation and temperature are 470 mm and 18˚C, respectively indicating a semi-arid region.</p><p>Geological layers contain limestone, sandstone, shale and marls deposits of Cretaceous, Pleistocene and Miocene forming a soil with moderate to good conditions in terms of CEC, pH, nutrients and soil depth for vegetation and agricultural activities. However, this catchment is currently suffering from anthropogenic environment degradation mainly deforestation, heavy grazing and improper agricultural activities representing main land use change in the Zagros regions of Iran. About 37% of the study area is occupied by rangeland and forest,</p><p>which are more sensitive to soil erosion due to topography and geological properties.</p></sec><sec id="s2_2"><title>2.2. Preparing the Maps</title><p>The maps of land use, geology, erosion form and vegetation for this study were prepared by using satellite images and topographic maps (1:50,000). The geology map was prepared based on geology quadrangle map of Kermanshah (on a scale of 1:100,000), using data obtained from the Geological Survey of Iran (GSI) [<xref ref-type="bibr" rid="scirp.81408-ref19">19</xref>] .</p><p>The map of forest and rangeland was prepared based on physiognomy method and nominated by two to three dominant plant species. Finally the border of each map was checked in the field. Vegetation type of rangeland was nominated by three dominants plant species based on their ground surface coverage (%). The above ground covers refer to the area covered by the vertical projection of the plant crown, stone and litter onto the soil surface. There were estimated on field using a quadrate plot (1 m<sup>2</sup>). The forest is dominated by oak (Quercus persica).</p></sec><sec id="s2_3"><title>2.3. Soil Sampling and Analyses</title><p>Thirty eight soil samples were collected from 0 - 20 cm depth within each land use followed by stratified random soil sampling and their coordinates were determined by global positioning system (GPS). The dried soil samples were sieved through 2 mm mesh sieve. Soil physicochemical characteristics were determined in the laboratory. The particle size distribution and soil texture were determined by hydrometric method [<xref ref-type="bibr" rid="scirp.81408-ref20">20</xref>] . The pH of the saturated soil paste was measured by a pH meter. Soil organic carbon was determined by the Walkley and Black method [<xref ref-type="bibr" rid="scirp.81408-ref21">21</xref>] . Total nitrogen was determined by the Kjeldahl method [<xref ref-type="bibr" rid="scirp.81408-ref22">22</xref>] . Available phosphorus was measured by the method of Olsen [<xref ref-type="bibr" rid="scirp.81408-ref23">23</xref>] . Exchangeable potassium was extracted by NH4OAc buffered at pH 7.0 and K in the solution was determined by flame photometer [<xref ref-type="bibr" rid="scirp.81408-ref24">24</xref>] . The sample was centrifuged and extracted solution run by atomic absorption spectrophotometer (Perkin-ELMER).</p></sec><sec id="s2_4"><title>2.4. Statistical Analyses</title><p>The data were statistically analyzed using SAS version 6.12 for variance of each soil variable including one way ANOVA (General Linear Models (GLM) procedure and Student Newman Keuls (SNK) test due to unequaled samples size) at 0.05 probability level.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Geology, Topography and Erosion Forms</title><p>The most parts of the studied area are occupied by fine grained materials of marl deposits including younger terraces, older terraces, Kashkan (marl) and Shabazan formations as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. An outcrop of Kashkan Formation shows the presence of reddish claystone, siltstone and sandstone, inter-layered with conglomerate</p><p>and limestone. The topographic landscape of Kashkan includes hilly areas which are susceptible to piping and landslide incidence.</p><p>Shahbazan includes limestone with high holes and pores on exposed outcrops. The main areas of this catchment are occupied by Quaternary deposits comprising older and younger comprising marl, argillaceous, sand and silt deposits with middle layers of gravel, and limestone which originated from adjacent geological formations in upper parts (mainly Kashkan formation).</p><p>Gully and river bank are dominants erosion forms in the agricultural areas. In these areas, gullies occur and develop where geologic structures are susceptible to gully forming due to fine-grained materials such as clay and silt. It is human- induced by agricultural activities, vegetation clearance and farming practices as well, it can be developed by concentrated runoff that leads to fluvial incision [<xref ref-type="bibr" rid="scirp.81408-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref26">26</xref>] .</p><p>Inter-rill (sheet erosion) with rill erosion was found as the dominant erosion feature in the rangeland and some parts of rain-fed areas where hillslope is 10% - 20%. Tillage practice and overgrazing contribute to accelerating this erosion. Rill erosion is initiated where overland flow becomes channeled and sheer stress (by overland flows) is more than shear strength of the soils [<xref ref-type="bibr" rid="scirp.81408-ref27">27</xref>] , causing severs sedimentation and SOC lost [<xref ref-type="bibr" rid="scirp.81408-ref28">28</xref>] .</p><p>Land slide in the studied site potentially refers to geological properties, while it occurs mainly through human-induced deforestation. The effective factors on landslide include slope, aspect, topography, climate, lithology, tectonic, vegetation cover, physicochemical and mechanical characteristics of sliding layer and human activities. This is considerable in forest area where Kashkan is dominant geological formation.</p><p>The smectite is a major mineral in both parent material and the soil of Kashkan formation [<xref ref-type="bibr" rid="scirp.81408-ref8">8</xref>] . As such, soil erosion was high especially in the areas with soils containing smectite (with high potential to absorb water) resulting in swell- crack occurrence and damaging the engineering structures in the study area. In the forest, soil erosion, sedimentation, piping, gulling and landslides often take place.</p><p>In some areas where marl layers are overlain by limestone, swelling smectite causes sliding of marl layers and shrinks upon dehydration, leading to cracking of clay rich materials [<xref ref-type="bibr" rid="scirp.81408-ref29">29</xref>] . Landslide occurrence is also related to the absorption of water by smectite during the rainy season. It can absorb water and can expand up to 30% of its original volume [<xref ref-type="bibr" rid="scirp.81408-ref30">30</xref>] . Field observation demonstrated that during the wet season the soil in lands with gully and landslide (where smectite is dominant mineral) absorbs water and expands, increasing cracking and piping which in turn, induce gully erosion and landslide occurrence (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Geology, topography, erosion forms and dominant improper land use practices in the Halashi catchment affecting soil nutrients and SOC lost</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Land use</th><th align="center" valign="middle"  colspan="3"  >Geology</th><th align="center" valign="middle"  colspan="3"  >Topography</th><th align="center" valign="middle"  rowspan="2"  >Erosion Form</th><th align="center" valign="middle"  rowspan="2"  >Dominants Improper Practices</th></tr></thead><tr><td align="center" valign="middle" >Era</td><td align="center" valign="middle" >Period</td><td align="center" valign="middle" >Formation</td><td align="center" valign="middle" >Slope (%)</td><td align="center" valign="middle" >Aspect</td><td align="center" valign="middle" >Altitude (m)</td></tr><tr><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >Ce</td><td align="center" valign="middle" >Qt</td><td align="center" valign="middle" >Qtc</td><td align="center" valign="middle" >5 - 10</td><td align="center" valign="middle" >P- N</td><td align="center" valign="middle" >1420 - 1600</td><td align="center" valign="middle" >Sheet-gully-river bank</td><td align="center" valign="middle" >Up-down the slope tillage, crop residue burning</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >Me</td><td align="center" valign="middle" >Cr</td><td align="center" valign="middle" >Ilam</td><td align="center" valign="middle" >10 - 20</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >1500 - 1600</td><td align="center" valign="middle" >Sheet-rill</td><td align="center" valign="middle" >Overgrazing, converting to rain-fed area lands</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >Ce</td><td align="center" valign="middle" >Ter</td><td align="center" valign="middle" >Ka</td><td align="center" valign="middle" >10 - 20</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >1600 - 1900</td><td align="center" valign="middle" >Landslide-piping</td><td align="center" valign="middle" >Converting to rain-fed area, illegal grazing, charcoal extraction,</td></tr></tbody></table></table-wrap><p>Ce = Cenozoic, Me = Mesozoic, Qtc = Quaternary (cultivate area), Ter = Tertiary, Qtf = Quaternary (gravel fan), Ka = Kashkan, Sh = Shahbazan, P = Plain, N = North.</p></sec><sec id="s3_2"><title>3.2. Ground Cover</title><p>Rangeland of study area includes one vegetation type namely Daphenea. Sp, Astragalus. sp, and Bromus sp. The above ground cover including plant canopy, bare soil, plant litter and stoniness in this type was estimated 41.7, 25.3, 3 and 30%, respectively. Furthermore, these respective values in understory of forest were 57, 18, 9% and 18% (<xref ref-type="table" rid="table2">Table 2</xref>), which in turn, both plant coverage and litter in the forest were more than rangelands.</p><p>The inventory of the RL and FL showed that Astragalus sp, Amygdalus sp., Festuca ovina, Quercus persica and Daphnae sp. with annual species are dominant vegetations in the study site. Although the forest is preserved, nomads allow their herd to graze from early spring until Mid-summer sharing deforestation and soil degradation. There is more considerable where forest canopy cover is less than 50% [<xref ref-type="bibr" rid="scirp.81408-ref31">31</xref>] .</p></sec><sec id="s3_3"><title>3.3. Soil Texture, pH and EC</title><p>Descriptive statistical analysis of soil variables and their ANOVA are presented in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>. The average amount of sand in the AL, RL and FL are 21.23%, 30.1% and 21.75%, respectively that was significantly higher (p ≤ 0.05) in the RL than those other sites. Mean soil clay in that orders were found 40.21%, 41.63% and 37.37% and no significant differences among them. However, the respective levels of soil clay in the AL, RL and FL are 38.03%, 31.33% and 40.52% revealing lower in the RL. Overall soil in the study area was mainly clayey and silty in nature due to considerable amounts of silt and clay, thereby susceptible to erosion hazards. High clay content would tend to increase water absorption which may promote piping and sliding through increasing dissolve phenomenon. Furthermore, higher slope in FL and RL (more than 15%) cause transport of clay particles.</p><p>The mean soil pH value of the agriculture, rangeland and forest are 7.72, 7.79 and 7.77, respectively indicating moderate alkalinity. The soils are moderately alkaline with pH value of 7.4 - 8.4. The pH of the soils in the study area was not expected to have a significant relationship with the soil degradation (<xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>). The average value of EC was found 0.85, 0.66 and 0.71 dS/m in the AL, RL and FL respectively and no significant difference (p ≤ 0.05) among them showing not effects for soil dispersion potential.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Ground cover of rangeland and forest in the Halashi catchment</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Land Use</th><th align="center" valign="middle"  rowspan="2"  >Vegetation Types*</th><th align="center" valign="middle"  colspan="4"  >Ground Cover Percentage</th></tr></thead><tr><td align="center" valign="middle" >Plant Canopy</td><td align="center" valign="middle" >Bare Soil</td><td align="center" valign="middle" >Plant Litter</td><td align="center" valign="middle" >Stoniness</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >Daphenea. sp, Astragalus. sp, Bromus sp</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >Quercus persica</td><td align="center" valign="middle" >57*</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >18</td></tr></tbody></table></table-wrap><p>*based on dominant plant species; **understory cover.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Descriptive statistical analysis of soil variables in Halashi catchment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Land Use</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >Std Dev</th><th align="center" valign="middle" >CV (%)</th><th align="center" valign="middle" >Min</th><th align="center" valign="middle" >Max</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Sand (%)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >21.23</td><td align="center" valign="middle" >9.6</td><td align="center" valign="middle" >45.16</td><td align="center" valign="middle" >6.3</td><td align="center" valign="middle" >37.6</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >30.1</td><td align="center" valign="middle" >15.9</td><td align="center" valign="middle" >53.03</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >51.9</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >21.75</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >17.51</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >28.6</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Silt (%)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >40.21</td><td align="center" valign="middle" >9.85</td><td align="center" valign="middle" >24.51</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle" >68.4</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >41.63</td><td align="center" valign="middle" >12.67</td><td align="center" valign="middle" >30.43</td><td align="center" valign="middle" >32.0</td><td align="center" valign="middle" >73.1</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >37.37</td><td align="center" valign="middle" >3.91</td><td align="center" valign="middle" >10.46</td><td align="center" valign="middle" >31.6</td><td align="center" valign="middle" >42.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Clay (%)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >7.20</td><td align="center" valign="middle" >18.93</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >50.0</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >31.3</td><td align="center" valign="middle" >13.21</td><td align="center" valign="middle" >42.17</td><td align="center" valign="middle" >15.00</td><td align="center" valign="middle" >52.0</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >40.5</td><td align="center" valign="middle" >4.36</td><td align="center" valign="middle" >10.77</td><td align="center" valign="middle" >32.00</td><td align="center" valign="middle" >46.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >pH</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >7.72</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >2.44</td><td align="center" valign="middle" >7.50</td><td align="center" valign="middle" >8.20</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >7.70</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >2.61</td><td align="center" valign="middle" >7.52</td><td align="center" valign="middle" >8.15</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >7.77</td><td align="center" valign="middle" >0.086</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >7.65</td><td align="center" valign="middle" >7.90</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Electrical Conductivity (dS/m)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >26.55</td><td align="center" valign="middle" >0.40</td><td align="center" valign="middle" >1.30</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >29.75</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >35.20</td><td align="center" valign="middle" >0.40</td><td align="center" valign="middle" >1.08</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Total Nitrogen (%)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >37.49</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >0.25</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >47.97</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >18.22</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Available P (mg/kg)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >15.72</td><td align="center" valign="middle" >4.95</td><td align="center" valign="middle" >31.53</td><td align="center" valign="middle" >8.9</td><td align="center" valign="middle" >29.5</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >11.44</td><td align="center" valign="middle" >4.54</td><td align="center" valign="middle" >39.75</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >18.6</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >11.38</td><td align="center" valign="middle" >2.02</td><td align="center" valign="middle" >17.81</td><td align="center" valign="middle" >8.0</td><td align="center" valign="middle" >15.3</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Exchangeable K (mg/kg)</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >343.23</td><td align="center" valign="middle" >132.02</td><td align="center" valign="middle" >38.46</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >580</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >375.50</td><td align="center" valign="middle" >147.05</td><td align="center" valign="middle" >39.16</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >535</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >374.50</td><td align="center" valign="middle" >89.78</td><td align="center" valign="middle" >23.97</td><td align="center" valign="middle" >2.9</td><td align="center" valign="middle" >489</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Organic Carbon%</td><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >1.14</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >29.07</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >2.14</td></tr><tr><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >0.70</td><td align="center" valign="middle" >48.16</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >2.19</td></tr><tr><td align="center" valign="middle" >Forest</td><td align="center" valign="middle" >2.13</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >8.99</td><td align="center" valign="middle" >1.75</td><td align="center" valign="middle" >2.36</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> ANOVA analysis of soil texture, pH and EC in Halashi catchment*</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Soil Variable</th><th align="center" valign="middle"  colspan="3"  >Land use</th><th align="center" valign="middle"  rowspan="2"  >Pr &gt; F</th></tr></thead><tr><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >Forest</td></tr><tr><td align="center" valign="middle" >Sand (%)</td><td align="center" valign="middle" >21.23<sup>b</sup></td><td align="center" valign="middle" >30.06 <sup>a</sup></td><td align="center" valign="middle" >21.75 <sup>b</sup></td><td align="center" valign="middle" >0.0.0478</td></tr><tr><td align="center" valign="middle" >Silt (%)</td><td align="center" valign="middle" >40.21 <sup>a</sup></td><td align="center" valign="middle" >41.63 <sup>a</sup></td><td align="center" valign="middle" >37.37 <sup>a</sup></td><td align="center" valign="middle" >0.609</td></tr><tr><td align="center" valign="middle" >Clay (%)</td><td align="center" valign="middle" >38.03 <sup>a</sup></td><td align="center" valign="middle" >31.33 <sup>b</sup></td><td align="center" valign="middle" >40.52 <sup>a</sup></td><td align="center" valign="middle" >0.0498</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >7.72<sup>a</sup></td><td align="center" valign="middle" >7.70 <sup>a</sup></td><td align="center" valign="middle" >7.77<sup>a</sup></td><td align="center" valign="middle" >0.975</td></tr><tr><td align="center" valign="middle" >**EC (dS/m)</td><td align="center" valign="middle" >0.85 <sup>a</sup></td><td align="center" valign="middle" >0.66 <sup>a</sup></td><td align="center" valign="middle" >0.71 <sup>a</sup></td><td align="center" valign="middle" >0.670</td></tr></tbody></table></table-wrap><p>*Mean with the same letters are not significantly different at p ≤ 0.05%, **EC = electrical conductivity.</p></sec><sec id="s3_4"><title>3.4. Soil NPK and SOC</title><p>SOC: The mean SOC level in the AL, RL and FL was 1.14%, 1.45% and 2.13%, respectively and showing significantly (p ≤ 0.05) different from each other among them (<xref ref-type="table" rid="table5">Table 5</xref>). It can be seen that the CV and the difference between maximum and minimum in the FL was lower than that of any other lands. The higher level of SOC in the FR and RL are related to relatively higher biomass production compared with AL, enhancing soil. The lower value of SOC in the AL as compared to other lands is associated with conventional tillage practice and burning of crop residues by the local farmers, especially in the hilly lands, increasing CO<sub>2</sub> emission.</p><p>Field observations showed that crop residues are burnt early autumn into the atmosphere. Improper tillage practices strongly accelerate soil erosion processes by destroying soil organic matter (SOM) and soil structure [<xref ref-type="bibr" rid="scirp.81408-ref14">14</xref>] . Relatively lower level of SOC in the RL is affected by overgrazing. This cause imbalance SOC through defoliation and thereby reducing plant canopy, forage production and litter accumulation as well as different slope gradient [<xref ref-type="bibr" rid="scirp.81408-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref32">32</xref>] . Furthermore, heavy sheep grazing decreased about 16.5% of SOC [<xref ref-type="bibr" rid="scirp.81408-ref33">33</xref>] . In this area accelerated gully erosion and landslide incidence attribute to 60% SOC lost. In these areas of Zagros, highest loss in SOC reaches to 306 kg ha<sup>-1</sup> yr<sup>-1</sup> by soil erosion in that area [<xref ref-type="bibr" rid="scirp.81408-ref28">28</xref>] .</p><p>Total N: As shown in <xref ref-type="table" rid="table5">Table 5</xref>, total N in the AL, RL and FL is 0.14, 0.14 and 0.18 mg/kg, respectively. Significant lower of total N in the AL and RL related to crop uptake (without fallow and rotation practices), residue burning and tillage practices as well as improper livestock grazing. This is consistent with other areas, where N<sub>2</sub>O is emitted into the atmosphere, causing global warming although only to a limited extent [<xref ref-type="bibr" rid="scirp.81408-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref34">34</xref>] .</p><p>Available P: The ANOVA showed that P in the AL was significantly higher than that of the other sites (<xref ref-type="table" rid="table5">Table 5</xref>). The higher level of P in the AL may due to over application of P<sub>2</sub>O<sub>5,</sub> while, overgrazing and deforestation factors cause P deficit in the soil [<xref ref-type="bibr" rid="scirp.81408-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.81408-ref4">4</xref>] .</p><p>Over P input into soil can remain in the soils profile for a longer time compared to N, and consequently can be accumulated in lower drainage systems, rivers and lakes causing eutrophication. This process can be accelerated by conventional tillage practices and erosion compared with no-tillage [<xref ref-type="bibr" rid="scirp.81408-ref35">35</xref>] . This also</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> ANOVA of soil NPK and SOC in Halashi catchment*</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="3"  >Land use</th><th align="center" valign="middle"  rowspan="2"  >Pr &gt; F</th></tr></thead><tr><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >Rangeland</td><td align="center" valign="middle" >Forest</td></tr><tr><td align="center" valign="middle" >SOC (%)</td><td align="center" valign="middle" >1.14<sup>c</sup></td><td align="center" valign="middle" >1.45 <sup>b</sup></td><td align="center" valign="middle" >2.13<sup>a</sup></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Total N (mg/kg)</td><td align="center" valign="middle" >0.14<sup>b</sup></td><td align="center" valign="middle" >0.14<sup>b</sup></td><td align="center" valign="middle" >0.18<sup>a</sup></td><td align="center" valign="middle" >0.0321</td></tr><tr><td align="center" valign="middle" >Avail. P (mg/kg)</td><td align="center" valign="middle" >15.72<sup>a</sup></td><td align="center" valign="middle" >11.44<sup>b</sup></td><td align="center" valign="middle" >11.38<sup>b</sup></td><td align="center" valign="middle" >0.026</td></tr><tr><td align="center" valign="middle" >Exc. K (mg/kg)</td><td align="center" valign="middle" >342.5 <sup>a</sup></td><td align="center" valign="middle" >375.5<sup>a</sup></td><td align="center" valign="middle" >374. 5<sup>a</sup></td><td align="center" valign="middle" >0.218</td></tr></tbody></table></table-wrap><p>*Means with the same letters within rows are not significantly different (at p ≤ 0.05%).</p><p>related to high soil clay content in the study area. The P level in the run-off sediments increases with decreasing soil particle size [<xref ref-type="bibr" rid="scirp.81408-ref36">36</xref>] .</p><p>Exchangeable K: The mean exch. K was 342.5, 375.0 and 374.5 mg/kg in AL, RL and FL, respectively. As revealed by ANOVA, soil K was not significant different from each other among three lands use. There is related to dominants clay minerals, particularly smectie and alkaline pH (7 - 8). The main source of K in the soils is weathering of mica, vermiculite and smectite [<xref ref-type="bibr" rid="scirp.81408-ref37">37</xref>] . The high range between maximum and minimum levels of exchangeable K in AL (580 and 99 mg/kg) is due to different level of K input and adversely different crops uptake. Overall, sever depletion of SOC and soil NPK are occurred via converting rangeland and forest to rain-fed lands in the Zagros. High CV of K in rangeland (<xref ref-type="table" rid="table4">Table 4</xref>) is due to slope and relatively higher fragmented vegetation causing its spatial variation due to runoff compared with other sites. The removal of soil K by runoff is more than that of phosphorus [<xref ref-type="bibr" rid="scirp.81408-ref38">38</xref>] . However, field verification indicated that there are many sources of organic fertilizer in the study area including livestock manure, urban and rural wastewater that can be considered for improving NPK and OC content. It is an ecological sanitation approach to promote closed-loop flows of resources and nutrients from sanitation to agriculture.</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>This comparative study revealed that soil nutrient and SOC level in the Halashi catchment significantly are affected by land use practice. The SOC level in AL, RL and FL was significantly different from each other. The improper agricultural activities, especially tillage and crops residue burning as well as overgrazing cause to total N change in the AL and RL compared with FL site. In addition, as compared with FL, lower vegetation canopy and litter in the RL promotes soil nutrient and SOC depletion due to overgrazing and converting to rain-fed lands. It is concluded that rangeland was the intermediate site in terms of soil nutrient and SOC stock in the Halashi catchment.</p></sec><sec id="s5"><title>Cite this paper</title><p>Abdolmohamadi, S., Ildoromi, A. and Heshmati, M. (2017) Factors Affecting SOC and NPK in the Rangeland, Forest and Agriculture; Case Study Halashi Catchment, Kermanshah, Iran. Journal of Geoscience and Environment Protection, 5, 18-30. https://doi.org/10.4236/gep.2017.513002</p></sec></body><back><ref-list><title>References</title><ref id="scirp.81408-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Polyakov, V.O. and Lal, R. (2008) Soil Organic Matter and CO2 Emission as Affected by Water Erosion on Field Run-Off Plots. Geoderma, 143, 216-222. https://doi.org/10.1016/j.geoderma.2007.11.005</mixed-citation></ref><ref id="scirp.81408-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Ahmadi, H. (2011) Applied Geomorphology. Vol. 2, Water Erosion. 3rd Edition, Tehran University Press, Tehran, 688 p. (In Persian)</mixed-citation></ref><ref id="scirp.81408-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Bechmann, M., Stalnacke, P., Kv&amp;#230rno, S., Eggesta, D. and Oygarden, L. (2009) Integrated Tool for Risk Assessment in Agricultural Management of Soil Erosion and Losses of Phosphorus and Nitrogen. Science of the Total Environment, 407, 749-759. https://doi.org/10.1016/j.scitotenv.2008.09.016</mixed-citation></ref><ref id="scirp.81408-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Nael, M., Khademi, H.A. and Hajabbasi, M. (2004) Response of Soil Quality Indicators and Their Spatial Variability to Land Degradation in Central Iran. Applied Soil Ecology, 27, 221-232. https://doi.org/10.1016/j.apsoil.2004.05.005</mixed-citation></ref><ref id="scirp.81408-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Shahmoradi, A., Gheitori, M., Ahmadi, S. and Tavakoli, A. (2008) Vegetation Assessment and Participatory Development of Techniques for Rehabilitation and Sustainable Management of Rangelands and Forest Ecosystems of Upper Karkheh River Basin. Iran, Tehran.</mixed-citation></ref><ref id="scirp.81408-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Soleimanpour, S.M., Hedayati, B., Soufi, M. and Ahmadi, H. (2015) Determination of Threshold of Effective Factors on Length Expansion of Gullies Using Data Mining Techniques in Mahourmilati Region, Fars Province. Watershed Management Science and Engineering, 9, 47-57. (In Persian)</mixed-citation></ref><ref id="scirp.81408-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Munoz-Robles, C., Reid, N., Frazier, P., Tighe, M., Briggs, S.V. and Wilson, B. (2010) Factors Related to Gully Erosion in Woody Encroachment in South Eastern Australia. Catena, 83, 148-157. https://doi.org/10.1016/j.catena.2010.08.002</mixed-citation></ref><ref id="scirp.81408-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Heshmati, M., Arifin, A., Shamshuddin, J., Majid, N.M. and Gheitori, M. (2011) Factors Affecting Landslides Occurrence in Agro-Ecological Zones in the Merek Catchment, Iran. Journal of Arid Environment, 75, 1072-1082. https://doi.org/10.1016/j.jaridenv.2011.06.011</mixed-citation></ref><ref id="scirp.81408-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Gheitori, M., Jafary, M., Azarnivand, H., Arzani, H., Javady, S.A. and Heshmati, M. (2012) Contribution of Soil Organic Carbon Levels, Different Grazing and Converted Rangeland on Aggregates Size Distribution in the Rangelands of Kermanshah Province, Iran. African Journal of Agricultural Research, 7, 2622-2631.</mixed-citation></ref><ref id="scirp.81408-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Badripour, H., Barani, H., Aghili, S.M. and Abedi Sarvestani, A. (2016) Study the Role of Natural Capitals on Villagers’ Dependence on Rangeland (Case Study: HableRud Basin in Iran). Journal of Rangeland Science, 6, 112-121.</mixed-citation></ref><ref id="scirp.81408-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Newton, A.C. (2007) Biodiversity and Conservation in Fragmented Forest Landscapes. CABI Press, Wallingford.</mixed-citation></ref><ref id="scirp.81408-ref12"><label>12</label><mixed-citation publication-type="book" xlink:type="simple">Lal, R. (2001) Soil and the Greenhouse Effect. In: Lal, R., Ed., Soil Carbon Sequestration and the Greenhouse Effects, Soil Science Society of America, Madison, 1-8.</mixed-citation></ref><ref id="scirp.81408-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Marzaioli, R., Ascoli, R.D., De Pascale, R.A. and Rutigliano, F.A. (2010) Soil Quality in a Mediterranean Area of Southern Italy as Related to Different Land Use Types. Applied Soil Ecology, 44, 205-212. https://doi.org/10.1016/j.apsoil.2009.12.007</mixed-citation></ref><ref id="scirp.81408-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Rosa, D.L., Romero, M.A., Pereira, E.D., Heredia, N. and Shahbazi, F. (2009) Soil Specific Agro-Ecological Strategies for Sustainable Land Use; A Case Study by Using Micro LEISDSS in Sevilla Province (Spain). Land Use Policy, 26, 1055-1065. https://doi.org/10.1016/j.landusepol.2009.01.004</mixed-citation></ref><ref id="scirp.81408-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Senthilkumar, S., Basso, B., Kravachenko, A.N. and Roberton, G.P. (2009) Cotemporary Evidence of Soil Carbon Loss in the U.S Corn-Belt. Soil Science Society of America Journal, 73, 278-2085. https://doi.org/10.2136/sssaj2009.0044</mixed-citation></ref><ref id="scirp.81408-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Moradi, E., Heshmati, G.A. and Bahramian, A.H. (2012) Assessment of Range Health Changes in Zagros Semi-Arid Rangelands, Iran (Case Study: Chalghafa-Semirom-Isfahan). Journal of Rangeland Science, 3, 31-43.</mixed-citation></ref><ref id="scirp.81408-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Y., Fu, B., Lu, Y., Song, C. and Luan, Y. (2010) Local-Scale Spatial Variability of Soil Organic Carbon and Its Stock in the Hilly Area of the Loess Plateau, China. Quality Measures, 73, 70-76.</mixed-citation></ref><ref id="scirp.81408-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Abera, Y. and Belachew, T. (2011) Effects of Land Use on Soil Organic Carbon and Nitrogen in Soils, Southeastern Ethiopia. Tropical and Subtropical Agroecosystems, 14, 229-235.</mixed-citation></ref><ref id="scirp.81408-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Karimi-Bavandpoor, A., Hajihosaini, A. and Shahandi, M. (1999) Geological Map of Kermanshah: 1:100,000 Series: 5458. Geological Survey of Iran Publisher, Tehran.</mixed-citation></ref><ref id="scirp.81408-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Soil Survey Staff (2003) Keys to Soil Taxonomy. 9th Edition, United States Department of Agriculture, United States Department of Agriculture Natural Resources Conservation Service, 322 p.</mixed-citation></ref><ref id="scirp.81408-ref21"><label>21</label><mixed-citation publication-type="book" xlink:type="simple">Nelson, R.E. and Sommers, L.E. (1982) Total Carbon, Organic Carbon and Organic Matter. In: Keeney, D.R., Baker, D.E., Miller, R.H., Ellis, R.J. and Rhoades., J.D., Eds., Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, American Society of Agronomy, Soil Science, Madison, 539-580.</mixed-citation></ref><ref id="scirp.81408-ref22"><label>22</label><mixed-citation publication-type="book" xlink:type="simple">Bremner, J.M. and Mulvaney, C.S. (1982) Nitrogen-Total. In: Page, A.L., Keeney, D.R., Baker, D.E., Miller, R.H, Ellis, R.J. and Rhoades, J.D., Eds., Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, American Society of Agronomy, Soil Science, Madison, 595-622.</mixed-citation></ref><ref id="scirp.81408-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Van-Reeuwijke, L.P. and Vente, J. (1993) Procedure for Soil Analysis. International Soil Reference and Information Center.</mixed-citation></ref><ref id="scirp.81408-ref24"><label>24</label><mixed-citation publication-type="book" xlink:type="simple">Knudsen, D., Peterson, G.A. and Preatt, P.E. (1982) Lithium, Sodium and Potassium. In: Page, A.L., Keeney, D.R., Baker, D.E., Miller, R.H., Ellis, R.J. and Rhoades, J.D., Eds., Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, American Society of Agronomy, Soil Science, Madison, 225-247.</mixed-citation></ref><ref id="scirp.81408-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Wani, P.P. and Sudi, R. (2006) Gully Control in SAT Watershed. International Crops Research Institute for the Semi-Arid Tropics, SAT, Vol. 2, Issue 1.</mixed-citation></ref><ref id="scirp.81408-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Parkner, T.M., Page, M., Marden, N. and Marutani, T. (2007) Gully Systems under Undisturbed Indigenous Forest, East Coast Region. Geomorphology, 84, 241-253. https://doi.org/10.1016/j.geomorph.2006.01.042</mixed-citation></ref><ref id="scirp.81408-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Morgan, R.P.C. (2005) Soil Erosion and Conservation. Blackwell Publisher, Oxford, London.</mixed-citation></ref><ref id="scirp.81408-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Heshmati, M., Arifin, A., Shamshuddin, J. and Majid, N.M. (2012) Predicting N, P, K and Organic Carbon Depletion in Soils using MPSIAC Model at the Merek Catchment, Iran. Geoderma, 175-176, 64-77. https://doi.org/10.1016/j.geoderma.2011.12.028</mixed-citation></ref><ref id="scirp.81408-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Frydman, S.T., Alesnick, M., Geffen, S. and Shvarzman, A. (2007) Landslides and Residual Strength in Marls Profiles in Israel. Engineering Geology, 89, 36-46. https://doi.org/10.1016/j.enggeo.2006.09.009</mixed-citation></ref><ref id="scirp.81408-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Krenz, J., Lee, B. and Owens, P. (2000) Swelling Clays and Septic Systems: High Water Tables and Septic System Perimeter Drains. Department of Agriculture (USDA). http://www.ces.purdue.edu/extmedia</mixed-citation></ref><ref id="scirp.81408-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Gheitori, M. and Tavakoli, A. (2008) Vegetation Cover of Natural Resources in the Merek Site. CGIAR Challenge Program on Water and Food and Agriculture and Natural Resources Research Center of Kermanshah, Iran.</mixed-citation></ref><ref id="scirp.81408-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Mondal, A., Khare, K., Kundu, S., Mondal, S., Mukherjee, S. and Mukhopadhyay, A. (2017) Spatial Soil Organic Carbon (SOC) Prediction by Regression Kriging using Remote Sensing Data. The Egyptian Journal of Remote Sensing and Space Sciences, 20, 61-70. https://doi.org/10.1016/j.ejrs.2016.06.004</mixed-citation></ref><ref id="scirp.81408-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Li, G.L. and Pang, X.M. (2010) Effect of Land-Use Conversion on C and N Distribution in Aggregate Fractions of Soils in the Southern Loess Plateau, China. Land Use Policy, 27, 706-712. https://doi.org/10.1016/j.landusepol.2009.09.011</mixed-citation></ref><ref id="scirp.81408-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Dala, R.C., Wang, W., Robertson, G.P., Parton, W.J., Myer, C. and Raisin, R.J. (2003) Nitrous Oxide Emission from Australian Agricultural Lands and Mitigation Options. Soil Research, 41, 165-195. https://doi.org/10.1071/SR02064</mixed-citation></ref><ref id="scirp.81408-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Mengel, D.K. and Kirkby, E.A. (2001) Principles of Plant Nutrition. Kluwer Academic Publisher, Dordrecht. https://doi.org/10.1007/978-94-010-1009-2</mixed-citation></ref><ref id="scirp.81408-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Barbosa, F.T., Bertol, I., Luciano, R.V. and Gonzalez, A.P. (2009) Phosphorus Losses in Water and Sediments in Runoff of the Water Erosion in Oat and Vetch Crops Seed in Contour and Downhill. Soil &amp; Tillage Research, 106, 22-28. https://doi.org/10.1016/j.still.2009.09.004</mixed-citation></ref><ref id="scirp.81408-ref37"><label>37</label><mixed-citation publication-type="book" xlink:type="simple">Borchardt, G. (1989) Smectites. In: Bighman, J.M., Dixon, J.B., Milford, M.H., Roth, C.B. and Weed, S.B., Eds., Minerals in Soil Environments, American Society of Agronomy, Soil Science, Madison, 728-767.</mixed-citation></ref><ref id="scirp.81408-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Bertol, I., Engel, F.L., Mafra, A.L., Bertol, O.J. and Ritter, S.R. (2007) Phosphorus, Potassium and Organic Carbon Concentrations in Run-Off Water and Sediments under Different Soil Tillage Systems during Soybean Growth. Soil &amp; Tillage Research, 94, 142-150. https://doi.org/10.1016/j.still.2006.07.008</mixed-citation></ref></ref-list></back></article>