<?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">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2016.72029</article-id><article-id pub-id-type="publisher-id">AJPS-63619</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></subj-group></article-categories><title-group><article-title>
 
 
  Effect of Plant Roots on Soil Nutrient Distributions in Shanghai Urban Landscapes
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ing</surname><given-names>Liang</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>Hailan</surname><given-names>Fang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Guanjun</surname><given-names>Hao</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Shanghai Academy of Landscape Architecture Science and Planning, Shanghai, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>fhl_1969@126.com(HF)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>03</day><month>02</month><year>2016</year></pub-date><volume>07</volume><issue>02</issue><fpage>296</fpage><lpage>305</lpage><history><date date-type="received"><day>5</day>	<month>January</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>19</month>	<year>February</year>	</date><date date-type="accepted"><day>22</day>	<month>February</month>	<year>2016</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>
 
 
  Twenty-seven surface soil samples were collected from four landscape sites in Shanghai, and seven soil profile samples were gathered from the two older sites for evaluation of horizontal and vertical distribution of soil properties to reveal their relationship with plant roots. Results indicated that urban soil had significant heterogeneities. Soil total nitrogen was significantly correlated with organic matter and total potassium was more abundant than total phosphorus. The available contents of iron, manganese, zinc and copper were higher than the standards for plant growth established by Soltanpour. pH and electrical conductivity increased with increasing soil vertical depth, possibly due to leaching, while the nutrients limiting plant growth such as nitrogen, phosphorus, potassium, iron, copper and zinc had more shallow distributions due to absorption by plant roots. However, with the increasing of soil depth, contents of magnesium, sodium, sulfur and chloride increased due to leaching and bio-cycling, which was further shown by the correlation analysis.
 
</p></abstract><kwd-group><kwd>Soil</kwd><kwd> Nutrient Element</kwd><kwd> Distribution</kwd><kwd> Leaching</kwd><kwd> Bio-Cycling</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Urban soils are the basis of landscape planting and have a great effect on plant growth. Without desirable concentrations of appropriate nutrients, plant growth is adversely affected. Moreover, since urban landscape soils are generally recognized as being highly disturbed and heterogeneous, many soils have systematic patterns and obviously differ, even in the same area. Therefore, many studies have been conducted on the physical and chemical properties of urban green space soils in major cities of China [<xref ref-type="bibr" rid="scirp.63619-ref1">1</xref>] . Lu et al. claimed that urban green space soils in Shenzhen had characteristics of sandy loam and light loam soil texture, high bulk density, low porosity and low cation exchange capacity [<xref ref-type="bibr" rid="scirp.63619-ref2">2</xref>] . Soil in Hong Kong had poor structure and fertility [<xref ref-type="bibr" rid="scirp.63619-ref3">3</xref>] . Bian et al. showed that nutrients of urban park soils were highly heterogeneous in Shenyang [<xref ref-type="bibr" rid="scirp.63619-ref4">4</xref>] . Degradation of soil structure and nutrient deficiency in green spaces occurred in Chongqing [<xref ref-type="bibr" rid="scirp.63619-ref5">5</xref>] . However, these studies mainly focused on soil macro-nutrient elements. Micro-nutrients and secondary elements are normally required in minute quantities to ensure normal plant growth and formation of flowers because they are mostly associated with the enzymatic system of plants [<xref ref-type="bibr" rid="scirp.63619-ref6">6</xref>] . Furthermore, the total levels of nutrients are poor indicators of their actual bio- availability to plants. The available state of elements including macro-nutrient, secondary and micro-nutrient elements is a more valuable indicator to sustain and support plant growth.</p><p>There have been numerous studies on horizontal or vertical distribution of soil nutrients; however, traditional sampling methods with fixed interval depths of 20 or 10 cm have generally been applied to test vertical distribution of soil physical and chemical properties, which did not conform to the distribution of plant roots and ignored soil between the sampling positions. Consequently any correlation between plant roots and soil nutrients could not be accurately determined [<xref ref-type="bibr" rid="scirp.63619-ref7">7</xref>] . As the underground organ of terrestrial plants, roots are indispensable for plant survival. Root systems hold the plant upright and absorb water and nutrition for plant growth and development [<xref ref-type="bibr" rid="scirp.63619-ref8">8</xref>] . Unfortunately, there have been very few studies on the relationship between bio-available elements and plant growth, especially the relationships between soil properties and plant roots.</p><p>Soil-amending and soil fertility practices such as plant cover systems and organic and inorganic inputs strongly influence all soil components [<xref ref-type="bibr" rid="scirp.63619-ref9">9</xref>] . Optimal soil properties for plant growth vary for various urban landscape species. Therefore, in this paper, four typical green areas in Shanghai―Zhongshan Park, Expo Park, Century Park and Chenshan Botanical Garden―built in different years and located in different areas were selected as sampling zones to study the distribution of soil pH, EC, CI, organic matter (OM), total nitrogen (TN), available phosphorus (P), available potassium (K), available iron (Fe), available manganese (Mn), available zinc (Zn), available copper (Cu), available magnesium (Mg), available sodium (Na) and available sulfur (S). Soil sampling depth was targeted according to the distribution of plant roots within the sampling location, to study the horizontal distribution of soil nutrients in different parks, to discuss the mechanisms of vertical distribution of soil nutrients and to evaluate the effects of soil properties on plant growth.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Study Area</title><p>Shanghai is located at 121˚29' and E 31˚41'N, in the east of China, and has a total area of about 6341 km<sup>2</sup>. Shanghai is one of the most important cultural, commercial, financial, industrial and communication centers in China. The investigation areas included Zhongshan Park, Expo Park, Century Park and Chenshan Botanical Garden. Zhongshan Park was built in 1914 in Changning District with a total area of over 21.42 ha, half of which is for landscape planting. EXPO Park is green land in the city center and was built in 2010. Century Park is the biggest urban park in the inner ring road of Shanghai, situated in Pudong new district and built in 1997. Chenshan Botanical Garden, built in 2007 in Songjiang district, has a total area of 207 ha and highly diverse plant species.</p></sec><sec id="s2_2"><title>2.2. Sampling and Analysis</title><p>Soil samples were collected from the four parks on 19-21 April 2011. Sampling depth was according to the distribution of plant roots of the sampling location. Three to four depths were sampled for arbor trees, large and medium shrubs based on the distribution of number of plant roots. Each soil sample consisted of five sub-sam- ples which were collected from the surrounding area of each site. A total of 27 surface soil samples were collected: nine samples from Zhongshan Park, five from EXPO Park, nine from Century Park and four from Chenshan Botanical Garden. In addition, a soil profile was excavated in Zhongshan Park and Century Park. Soil samples were gathered from the profile according to the distribution of plant roots, and total of seven soil samples were collected. Details of the sampling record are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>The samples were taken to the laboratory, dried at ambient room temperature and ground to pass a 2-mm sieve before analysis. Half of each sieved soil sample was further ground to pass through a 1-mm mesh screen for the determination of soil moisture coefficient, and others were passed through a 0.149-mm mesh and stored</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Detailed sampling record</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Zones</th><th align="center" valign="middle" >Number of surface soil samples</th><th align="center" valign="middle" >Profile soil samples (distribution of plant roots)</th><th align="center" valign="middle" >Plants</th></tr></thead><tr><td align="center" valign="middle" >Zhongshan Park</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0 - 18 cm (developed root system) 18 - 28 cm (lots of roots) 28 - 52 cm (a few roots) 52 - 94 cm (dead roots)</td><td align="center" valign="middle" >Pittosporum, Cedar, Cinnamomun camphora, Ligustrum lucidum, Cherry tree, Elaeagnus pungens thumb</td></tr><tr><td align="center" valign="middle" >Expo Park</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Loquat, Cedar, Hu shaddock, Lawn</td></tr><tr><td align="center" valign="middle" >Century Park</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0 - 27 cm (developed root system ) 27 - 39 cm (lots of roots) 39 - 78 cm (a few roots and dead roots)</td><td align="center" valign="middle" >Camellia sasanqua, Buxus sinica, Acer palmatum, Slash pine, Mei flower tree</td></tr><tr><td align="center" valign="middle" >Chenshan Botanical Garden</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Crabapple tree, Photinia, Rosa chinensis, Hemerocallis</td></tr></tbody></table></table-wrap><p>Note: “-” represent that soil profile that was harvested.</p><p>in clean polyethylene bags for the determination of soil OM and TN. The 2-mm soil samples were used for the saturated extraction and the determination of elements extracted by AB-DTPA (ammonium bicarbonate-diethy- lenetriamine pentaacetic acid) method [<xref ref-type="bibr" rid="scirp.63619-ref10">10</xref>] . AB-DTPA is a common “universal soil extractant” and is also used to evaluate the bio-availability of non-essential heavy metals. It is a gentle extractant used to mimic the ability of roots to assimilate minerals.</p><p>Soil water content was determined gravimetrically after heating in an oven at 105˚C for 8 h; all results are presented on an oven dry basis. Soil OM was determined using the potassium dichromate oxidation procedure [<xref ref-type="bibr" rid="scirp.63619-ref11">11</xref>] . AB-DTPA extraction was employed to determine the bio-available concentrations of elements K, Cu, Fe, Mn, Zn, Mg, S, Na and P. The analytical determinations in the extracts were made via optical emission spectroscopy using Inductively Coupled Plasma. Soil pH, EC and water extractable chlorine were measured by the saturated extraction method [<xref ref-type="bibr" rid="scirp.63619-ref10">10</xref>] . This method gives the best true estimate of dissolved salts in soil moisture. Soil pH was determined directly on the paste with a pH meter. Soil EC and chlorine were estimated by extracting the liquid phase of the saturation paste under partial vacuum. Soil EC was measured with conductivity meter and chlorine<sup> </sup>by ion chromatography.</p></sec><sec id="s2_3"><title>2.3. Quality Control</title><p>The quality of chemical analysis was validated by repeated measurements of blanks and reference samples. Chemical analyses were repeated until a precision of &#177;5% and an accuracy of 95% - 105% was achieved; while prepared blanks were always below instrumental detection limits.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Horizontal Distribution of Soil Properties of Urban Parks</title><p>Soil properties of the four urban parks are presented in <xref ref-type="table" rid="table2">Table 2</xref>. The soil pH in the different parks was relatively consistent, with mean pH of soils from Zhongshan Park, Expo Park, Century Park and Chenshan Botanical Garden being 7.4, 7.7, 7.5 and 7.6, respectively. Moreover, the coefficients of variation (CVs) of soil pH from the different parks were &lt;5.7%, and therefore slightly alkaline might be the main characteristic of urban park soils in Shanghai, in close agreement with the results of Yang et al. [<xref ref-type="bibr" rid="scirp.63619-ref12">12</xref>] . Previous studies also revealed that the urban soils had a higher pH [<xref ref-type="bibr" rid="scirp.63619-ref13">13</xref>] , with extraneous materials such as bricks and stones included in the soils the primary causative factor [<xref ref-type="bibr" rid="scirp.63619-ref14">14</xref>] .</p><p>EC of soils reflects the concentrations of dissolved salts in soil moisture. The EC value of soil samples collected were within the range of 0.3 - 3.3 with an average of 1.0 &#177; 1.3 mS/cm for Zhongshan Park, 0.9 - 1.6 with average of 1.2 &#177; 0.3 mS/cm for Expo Park, 0.4 - 1.9 with average of 0.9 &#177; 0.6 mS/cm for Century Park and 1.1 - 2.8 with average of 1.9 &#177; 0.8 mS/cm for Chenshan Botanical Garden (<xref ref-type="table" rid="table2">Table 2</xref>). According to the classification system established by Richards summarized (<xref ref-type="table" rid="table2">Table 2</xref>s-1) [<xref ref-type="bibr" rid="scirp.63619-ref15">15</xref>] , sensitive crops (e.g. bean) can only be grown without yield loss in soils with EC &lt; 2 mS/cm, and so EC value of all soils from Expo Park and Century Park met the standard for sensitive plant growth. However, 20.1% of EC values for soil samples from Zhongshan</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Properties of soils collected from Zhongshan Park, Expo Park, Century Park and Chenshan Botanical Garden</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  colspan="5"  >Zhongshan Park (n = 9)</th><th align="center" valign="middle"  colspan="9"  >Expo Park (n = 5)</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Min</td><td align="center" valign="middle" >Max</td><td align="center" valign="middle" >SD</td><td align="center" valign="middle" >CV (%)</td><td align="center" valign="middle"  colspan="2"  >Mean</td><td align="center" valign="middle"  colspan="2"  >Min</td><td align="center" valign="middle"  colspan="2"  >Max</td><td align="center" valign="middle"  colspan="2"  >SD</td><td align="center" valign="middle" >CV (%)</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >7.4</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >5.7</td><td align="center" valign="middle"  colspan="2"  >7.7</td><td align="center" valign="middle"  colspan="2"  >7.3</td><td align="center" valign="middle"  colspan="2"  >8.0</td><td align="center" valign="middle"  colspan="2"  >0.3</td><td align="center" valign="middle" >3.9</td></tr><tr><td align="center" valign="middle" >EC (mS/cm)</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >120.6</td><td align="center" valign="middle"  colspan="2"  >1.2</td><td align="center" valign="middle"  colspan="2"  >0.9</td><td align="center" valign="middle"  colspan="2"  >1.6</td><td align="center" valign="middle"  colspan="2"  >0.3</td><td align="center" valign="middle" >25.7</td></tr><tr><td align="center" valign="middle" >Cl (mg/L)</td><td align="center" valign="middle" >126.4</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" >536.0</td><td align="center" valign="middle" >229.3</td><td align="center" valign="middle" >181.4</td><td align="center" valign="middle"  colspan="2"  >132.0</td><td align="center" valign="middle"  colspan="2"  >98.0</td><td align="center" valign="middle"  colspan="2"  >172.0</td><td align="center" valign="middle"  colspan="2"  >33.8</td><td align="center" valign="middle" >25.6</td></tr><tr><td align="center" valign="middle" >Organic matter (g/kg)</td><td align="center" valign="middle" >31.7</td><td align="center" valign="middle" >16.0</td><td align="center" valign="middle" >45.1</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >42.5</td><td align="center" valign="middle"  colspan="2"  >18.8</td><td align="center" valign="middle"  colspan="2"  >8.4</td><td align="center" valign="middle"  colspan="2"  >29.0</td><td align="center" valign="middle"  colspan="2"  >9.4</td><td align="center" valign="middle" >49.9</td></tr><tr><td align="center" valign="middle" >Total nitrogen (g/kg)</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >2.1</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >38.0</td><td align="center" valign="middle"  colspan="2"  >0.9</td><td align="center" valign="middle"  colspan="2"  >0.4</td><td align="center" valign="middle"  colspan="2"  >1.3</td><td align="center" valign="middle"  colspan="2"  >0.4</td><td align="center" valign="middle" >50.8</td></tr><tr><td align="center" valign="middle" >Available P (mg/kg)</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >11.4</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >65.1</td><td align="center" valign="middle"  colspan="2"  >24.0</td><td align="center" valign="middle"  colspan="2"  >13.4</td><td align="center" valign="middle"  colspan="2"  >51.2</td><td align="center" valign="middle"  colspan="2"  >18.2</td><td align="center" valign="middle" >75.9</td></tr><tr><td align="center" valign="middle" >Available K (mg/kg)</td><td align="center" valign="middle" >177.3</td><td align="center" valign="middle" >110.6</td><td align="center" valign="middle" >323.5</td><td align="center" valign="middle" >85.4</td><td align="center" valign="middle" >48.1</td><td align="center" valign="middle"  colspan="2"  >211.4</td><td align="center" valign="middle"  colspan="2"  >68.0</td><td align="center" valign="middle"  colspan="2"  >378.9</td><td align="center" valign="middle"  colspan="2"  >130.5</td><td align="center" valign="middle" >61.7</td></tr><tr><td align="center" valign="middle" >Available Fe (mg/kg)</td><td align="center" valign="middle" >47.7</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" >81.3</td><td align="center" valign="middle" >21.2</td><td align="center" valign="middle" >44.4</td><td align="center" valign="middle"  colspan="2"  >62.8</td><td align="center" valign="middle"  colspan="2"  >43.5</td><td align="center" valign="middle"  colspan="2"  >79.0</td><td align="center" valign="middle"  colspan="2"  >16.7</td><td align="center" valign="middle" >26.6</td></tr><tr><td align="center" valign="middle" >Available Mn (mg/kg)</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >13.2</td><td align="center" valign="middle"  colspan="2"  >3.3</td><td align="center" valign="middle"  colspan="2"  >2.9</td><td align="center" valign="middle"  colspan="2"  >3.7</td><td align="center" valign="middle"  colspan="2"  >0.4</td><td align="center" valign="middle" >11.4</td></tr><tr><td align="center" valign="middle" >Available Zn (mg/kg)</td><td align="center" valign="middle" >21.5</td><td align="center" valign="middle" >7.9</td><td align="center" valign="middle" >32.6</td><td align="center" valign="middle" >12.2</td><td align="center" valign="middle" >56.5</td><td align="center" valign="middle"  colspan="2"  >7.3</td><td align="center" valign="middle"  colspan="2"  >4.1</td><td align="center" valign="middle"  colspan="2"  >9.8</td><td align="center" valign="middle"  colspan="2"  >2.5</td><td align="center" valign="middle" >34.0</td></tr><tr><td align="center" valign="middle" >Available Cu (mg/kg)</td><td align="center" valign="middle" >11.4</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >18.4</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" >57.1</td><td align="center" valign="middle"  colspan="2"  >3.5</td><td align="center" valign="middle"  colspan="2"  >0.8</td><td align="center" valign="middle"  colspan="2"  >6.0</td><td align="center" valign="middle"  colspan="2"  >2.1</td><td align="center" valign="middle" >61.3</td></tr><tr><td align="center" valign="middle" >Available Mg (mg/kg)</td><td align="center" valign="middle" >194.3</td><td align="center" valign="middle" >101.6</td><td align="center" valign="middle" >271.5</td><td align="center" valign="middle" >77.5</td><td align="center" valign="middle" >39.9</td><td align="center" valign="middle"  colspan="2"  >156.8</td><td align="center" valign="middle"  colspan="2"  >51.4</td><td align="center" valign="middle"  colspan="2"  >248.7</td><td align="center" valign="middle"  colspan="2"  >101.4</td><td align="center" valign="middle" >64.7</td></tr><tr><td align="center" valign="middle" >Available Na (mg/kg)</td><td align="center" valign="middle" >26.1</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >64.0</td><td align="center" valign="middle" >21.6</td><td align="center" valign="middle" >82.9</td><td align="center" valign="middle"  colspan="2"  >97.0</td><td align="center" valign="middle"  colspan="2"  >75.9</td><td align="center" valign="middle"  colspan="2"  >141.5</td><td align="center" valign="middle"  colspan="2"  >30.9</td><td align="center" valign="middle" >31.8</td></tr><tr><td align="center" valign="middle" >Available S (mg/kg)</td><td align="center" valign="middle" >35.3</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >105.0</td><td align="center" valign="middle" >39.8</td><td align="center" valign="middle" >112.7</td><td align="center" valign="middle"  colspan="2"  >62.0</td><td align="center" valign="middle"  colspan="2"  >34.8</td><td align="center" valign="middle"  colspan="2"  >101.7</td><td align="center" valign="middle"  colspan="2"  >29.9</td><td align="center" valign="middle" >48.2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Parameter</td><td align="center" valign="middle"  colspan="5"  >Century Park (n = 9)</td><td align="center" valign="middle"  colspan="9"  >Chenshan Botanical Garden (n = 4)</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Min</td><td align="center" valign="middle" >Max</td><td align="center" valign="middle" >SD</td><td align="center" valign="middle" >CV (%)</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle"  colspan="2"  >Min</td><td align="center" valign="middle"  colspan="2"  >Max</td><td align="center" valign="middle"  colspan="2"  >SD</td><td align="center" valign="middle"  colspan="2"  >CV (%)</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >7.7</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >7.6</td><td align="center" valign="middle"  colspan="2"  >7.2</td><td align="center" valign="middle"  colspan="2"  >7.9</td><td align="center" valign="middle"  colspan="2"  >0.3</td><td align="center" valign="middle"  colspan="2"  >3.4</td></tr><tr><td align="center" valign="middle" >EC (mS/cm)</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >63.2</td><td align="center" valign="middle" >1.9</td><td align="center" valign="middle"  colspan="2"  >1.1</td><td align="center" valign="middle"  colspan="2"  >2.8</td><td align="center" valign="middle"  colspan="2"  >0.8</td><td align="center" valign="middle"  colspan="2"  >42.5</td></tr><tr><td align="center" valign="middle" >Cl (mg/L)</td><td align="center" valign="middle" >135.0</td><td align="center" valign="middle" >21.0</td><td align="center" valign="middle" >571.0</td><td align="center" valign="middle" >198.5</td><td align="center" valign="middle" >147.1</td><td align="center" valign="middle" >119.4</td><td align="center" valign="middle"  colspan="2"  >67.0</td><td align="center" valign="middle"  colspan="2"  >190.0</td><td align="center" valign="middle"  colspan="2"  >51.9</td><td align="center" valign="middle"  colspan="2"  >43.5</td></tr><tr><td align="center" valign="middle" >Organic matter (g/kg)</td><td align="center" valign="middle" >33.0</td><td align="center" valign="middle" >13.9</td><td align="center" valign="middle" >71.2</td><td align="center" valign="middle" >21.4</td><td align="center" valign="middle" >65.0</td><td align="center" valign="middle" >42.7</td><td align="center" valign="middle"  colspan="2"  >18.5</td><td align="center" valign="middle"  colspan="2"  >102.6</td><td align="center" valign="middle"  colspan="2"  >34.2</td><td align="center" valign="middle"  colspan="2"  >80.0</td></tr><tr><td align="center" valign="middle" >Total nitrogen (g/kg)</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >44.8</td><td align="center" valign="middle" >2.3</td><td align="center" valign="middle"  colspan="2"  >1.1</td><td align="center" valign="middle"  colspan="2"  >5.5</td><td align="center" valign="middle"  colspan="2"  >1.8</td><td align="center" valign="middle"  colspan="2"  >79.7</td></tr><tr><td align="center" valign="middle" >Available P (mg/kg)</td><td align="center" valign="middle" >56.0</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >186.3</td><td align="center" valign="middle" >68.8</td><td align="center" valign="middle" >122.8</td><td align="center" valign="middle" >64.6</td><td align="center" valign="middle"  colspan="2"  >33.4</td><td align="center" valign="middle"  colspan="2"  >151.4</td><td align="center" valign="middle"  colspan="2"  >49.0</td><td align="center" valign="middle"  colspan="2"  >75.9</td></tr><tr><td align="center" valign="middle" >Available K (mg/kg)</td><td align="center" valign="middle" >347.2</td><td align="center" valign="middle" >170.8</td><td align="center" valign="middle" >788.9</td><td align="center" valign="middle" >224.9</td><td align="center" valign="middle" >64.8</td><td align="center" valign="middle" >426.2</td><td align="center" valign="middle"  colspan="2"  >330.6</td><td align="center" valign="middle"  colspan="2"  >543.3</td><td align="center" valign="middle"  colspan="2"  >88.4</td><td align="center" valign="middle"  colspan="2"  >20.7</td></tr><tr><td align="center" valign="middle" >Available Fe (mg/kg)</td><td align="center" valign="middle" >39.5</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle" >66.0</td><td align="center" valign="middle" >13.4</td><td align="center" valign="middle" >34.0</td><td align="center" valign="middle" >152.4</td><td align="center" valign="middle"  colspan="2"  >82.8</td><td align="center" valign="middle"  colspan="2"  >299.5</td><td align="center" valign="middle"  colspan="2"  >90.3</td><td align="center" valign="middle"  colspan="2"  >59.2</td></tr><tr><td align="center" valign="middle" >Available Mn (mg/kg)</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >14.5</td><td align="center" valign="middle" >4.6</td><td align="center" valign="middle" >99.5</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle"  colspan="2"  >1.9</td><td align="center" valign="middle"  colspan="2"  >10.5</td><td align="center" valign="middle"  colspan="2"  >4.0</td><td align="center" valign="middle"  colspan="2"  >77.0</td></tr><tr><td align="center" valign="middle" >Available Zn (mg/kg)</td><td align="center" valign="middle" >12.3</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >34.5</td><td align="center" valign="middle" >11.3</td><td align="center" valign="middle" >91.9</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle"  colspan="2"  >2.6</td><td align="center" valign="middle"  colspan="2"  >11.9</td><td align="center" valign="middle"  colspan="2"  >3.4</td><td align="center" valign="middle"  colspan="2"  >50.0</td></tr><tr><td align="center" valign="middle" >Available Cu (mg/kg)</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >10.2</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >47.8</td><td align="center" valign="middle" >9.1</td><td align="center" valign="middle"  colspan="2"  >4.2</td><td align="center" valign="middle"  colspan="2"  >16.1</td><td align="center" valign="middle"  colspan="2"  >4.6</td><td align="center" valign="middle"  colspan="2"  >50.1</td></tr><tr><td align="center" valign="middle" >Available Mg (mg/kg)</td><td align="center" valign="middle" >189.6</td><td align="center" valign="middle" >103.4</td><td align="center" valign="middle" >271.5</td><td align="center" valign="middle" >54.9</td><td align="center" valign="middle" >29.0</td><td align="center" valign="middle" >320.4</td><td align="center" valign="middle"  colspan="2"  >205.1</td><td align="center" valign="middle"  colspan="2"  >407.0</td><td align="center" valign="middle"  colspan="2"  >74.2</td><td align="center" valign="middle"  colspan="2"  >23.2</td></tr><tr><td align="center" valign="middle" >Available Na (mg/kg)</td><td align="center" valign="middle" >59.5</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >233.1</td><td align="center" valign="middle" >79.1</td><td align="center" valign="middle" >132.9</td><td align="center" valign="middle" >109.4</td><td align="center" valign="middle"  colspan="2"  >42.1</td><td align="center" valign="middle"  colspan="2"  >184.1</td><td align="center" valign="middle"  colspan="2"  >55.5</td><td align="center" valign="middle"  colspan="2"  >50.8</td></tr><tr><td align="center" valign="middle" >Available S (mg/kg)</td><td align="center" valign="middle" >60.6</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >159.0</td><td align="center" valign="middle" >52.4</td><td align="center" valign="middle" >86.4</td><td align="center" valign="middle" >212.2</td><td align="center" valign="middle"  colspan="2"  >70.7</td><td align="center" valign="middle"  colspan="2"  >528.0</td><td align="center" valign="middle"  colspan="2"  >190.5</td><td align="center" valign="middle"  colspan="2"  >89.8</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Park were in the range that adversely affects growth of moderately saline-sensitive plants (2 - 4 mS/cm). Of samples from Chenshan Botanical Garden, 40.5% had salinity that exceeded the standard for growth of saline-sensitive plants but met the standard for moderately sensitive plants. Moreover, the CV of EC varied greatly among the parks, indicating heterogeneities of soil [<xref ref-type="bibr" rid="scirp.63619-ref1">1</xref>] . Therefore, plant species should be selected based on soil properties, especially when large amounts of green space areas are constructed.</p><p>As the vital aggregating agent, soil OM can influence soil structural formation and maintenance. The amount of soil OM differed among the four parks (<xref ref-type="table" rid="table2">Table 2</xref>), with mean contents in the following order: Chenshan Botanical Garden &gt; Century Park ≈ Zhongshan Park &gt; Expo Park. Compared with the Chinese soil fertility classes (<xref ref-type="table" rid="table2">Table 2</xref>s-2), 23.8% of soil OM contents from the parks were considered extremely high, 19.0% were high, 23.8% were moderate to high, 28.6% were low to moderate and 4.8% were low. This was similar to a previous study [<xref ref-type="bibr" rid="scirp.63619-ref16">16</xref>] . Although green space soils are covered by vegetation, which would be expected to accumulate OM, management practices such as clearing leaves can lower soil OM contents, a consequence of which is disappearance of fertile topsoil to keep it “neat”.</p><p>For TN, 28.6% of soil samples were extremely high, 19.0% were high, 33.3% were moderate to high, 9.5% were low to moderate, 4.8% were low and 4.8% were extremely low. The TN contents of soils were significantly correlated with OM, consistent with results of Jim [<xref ref-type="bibr" rid="scirp.63619-ref3">3</xref>] and Yang et al. [<xref ref-type="bibr" rid="scirp.63619-ref12">12</xref>] .</p><p>As the two major macro-nutrients for plants, levels of P and K should be studied. The contents of available P and available K in soils were near to those of earlier reports that showed K was more abundant in soil than P [<xref ref-type="bibr" rid="scirp.63619-ref17">17</xref>] . The available Fe, Mn, Zn and Cu of all soil samples were high compared with the established criteria of Soltanpour (<xref ref-type="table" rid="table2">Table 2</xref>s-3) for which growth is expected to be within 90% of the optimum rate for each nutrient [<xref ref-type="bibr" rid="scirp.63619-ref18">18</xref>] . Thus these parks had sufficient micro-nutrients Fe, Cu, Zn and Mn for plant growth. This may be due to the alluvial soil, which is the main soil type in Shanghai. In addition, the urban soil contamination may also result in increasing of soil Zn and Cu contents. The bio-available concentrations of Fe and Mn increase in soil that is poorly aerated promoting the reduction of Fe and Mn.</p><p>The contents of available Na and S also had a large range in CV. Available Na ranged from 10.8 (Zhongshan Park) to 233.1 mg/kg (Century Park), and available S from 7.2 (Zhongshan Park) to 528.0 mg/kg (Chenshan Botanical Garden). The contents of available Na and S in surface soil decreased with the increasing age of parks, which may be ascribed to leaching and application of fertilizer, and this hypothesis will be further tested in following studies.</p></sec><sec id="s3_2"><title>3.2. Vertical Distribution of Soil Properties of Urban Parks</title><p>Generally speaking, the mechanisms affecting the vertical distribution of soil nutrients can be classified into at least four major processes: weathering, atmospheric deposition, leaching and biological cycling [<xref ref-type="bibr" rid="scirp.63619-ref19">19</xref>] . Because the effects of plant roots on biological cycling of soil nutrients are large, therefore sampling layers should be defined according to the distribution of plant roots in the sampling position. The vertical distribution of soil nutrients in different distribution layers of plant roots for Zhongshan Park and Century Park are presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>. pH and EC values were clearly enhanced with increased soil depth and OM and TN contents decreased―possibly due to leaching and biological cycling. Leaching moves salt ions downward and increases salinity with increasing soil depth but, in contrast, plant litterfall and application of organic fertilizer or organic modified materials on the soil surface can lead to a shallower distribution of OM and TN. Many studies have reported significant positive correlations between TN and OM contents [<xref ref-type="bibr" rid="scirp.63619-ref12">12</xref>] . This is expected since mature OM generally contains about 5% N.</p><p>CI is an easily mobile element in soil and is not likely to constrain plant growth with adequate leaching [<xref ref-type="bibr" rid="scirp.63619-ref20">20</xref>] . This phenomenon was also supported in the present study (<xref ref-type="fig" rid="fig1">Figure 1</xref>), which showed CI concentrations increased with soil depth. Phillips [<xref ref-type="bibr" rid="scirp.63619-ref21">21</xref>] and Tyler et al. [<xref ref-type="bibr" rid="scirp.63619-ref22">22</xref>] also considered that CI concentrations were associated with the soil depth.</p><p>Contents of P and K tended to decrease with increased soil depth, which differed to CI, and might be ascribed to the plant cycling and management practices. P and K are not readily mobile in soil and generally remain in the soil profile to which they have been applied. On one hand, it may be generally recognized that P and K are the main nutrients limiting plant growth, and have shallower distributions than nutrients that are less limiting [<xref ref-type="bibr" rid="scirp.63619-ref23">23</xref>] . On the other hand, organic fertilizer or organic modified materials with higher P and K are usually applied to surface soil of green spaces instead of the whole soil profile.</p><p>Fe, Mn, Cu and Zn are essential micro-nutrients for plant growth and important for gene expression and biosynthesis of proteins [<xref ref-type="bibr" rid="scirp.63619-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.63619-ref25">25</xref>] . Available Fe, Mn, Cu and Zn contents tended to decrease with increasing soil depth, which might be controlled by plant cycling and soil pH [<xref ref-type="bibr" rid="scirp.63619-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.63619-ref25">25</xref>] . Generally, root distribution and maximum rooting depth play an important role in shaping micro-nutrient profiles [<xref ref-type="bibr" rid="scirp.63619-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.63619-ref26">26</xref>] , because some nutrients absorbed by plants are transported aboveground and recycled to the soil surface by litterfall [<xref ref-type="bibr" rid="scirp.63619-ref27">27</xref>] . Furthermore,</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Vertical distribution of soil nutrients in different layers of plant roots. (The hollow points represent Zhongshan park, and the solid points represent Century Park)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/5-2602529x7.png"/></fig><p>Fe, Mn, Cu and Zn are the most bio-available at lower pH, and their cationic forms may be changed to insoluble forms such as hydroxides and oxides in less acidic soil [<xref ref-type="bibr" rid="scirp.63619-ref28">28</xref>] . Therefore, increasing pH with soil depth may be another reason for the lower contents of these micro-nutrients in deeper soil. Another cause of soil acidification is application of fertilizers, and these are applied to the soil surface [<xref ref-type="bibr" rid="scirp.63619-ref29">29</xref>] .</p><p>The levels of Mg, Na and S tended to be low in the soil surface, which was in contrast with all other elements. Previous studies indicated that nutrients that are rarely required by plants (such as Na) have shallower distributions in soils [<xref ref-type="bibr" rid="scirp.63619-ref17">17</xref>] . Furthermore, the role of leaching is probably important for available Mg, Na and S because their contents had an increasing trend with soil depth [<xref ref-type="bibr" rid="scirp.63619-ref23">23</xref>] .</p></sec><sec id="s3_3"><title>3.3. Relationship among Soil Chemical Properties</title><p>The relationships between nutrient elements and soil properties were studied, and the results are presented in <xref ref-type="table" rid="table3">Table 3</xref>. pH values were significantly negatively correlated with OM, TN and available Zn and Cu. The contents of OM, TN and available Cu and Zn decreased dramatically with increasing depth, while pH increased, which might be related to OM, organic residues, applying of organic modified materials and exudation of plant roots [<xref ref-type="bibr" rid="scirp.63619-ref26">26</xref>] . There were also significant positive correlations between OM and TN, available P, available K, available Mn, available Zn and available Mg, which indicated the roles of plant cycling. Nutrients taken up by deep roots would be transported to the soil surface, especially for plants with deeper roots [<xref ref-type="bibr" rid="scirp.63619-ref30">30</xref>] .</p><p>EC values were positively and significantly correlated with the content of chlorine and available Mg and S; moreover, the chlorine concentration was positively correlated with available K, Mn, Zn and Na (<xref ref-type="table" rid="table3">Table 3</xref>). These results suggested that there was a significant effect of leaching on vertical distribution of soil nutrient elements, which would deplete them from the topsoil, and accumulate them in deeper layers and produce a peak at the maximum rooting depth [<xref ref-type="bibr" rid="scirp.63619-ref22">22</xref>] .</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>Urban ecological environments can have a large impact on sustainable economic development, and can be influenced to a large extent by the amount of green space available to the public. Growth of vegetation also has a useful ecological function and is strongly affected by soil quality. Therefore, it is essential that the content of various nutrient elements in soils of green spaces are investigated. The horizontal and vertical distributions of</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Pearson’s correlation coefficients among soil nutrient elements and soil properties</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >pH</th><th align="center" valign="middle" >EC</th><th align="center" valign="middle" >Chlorine</th><th align="center" valign="middle" >OM</th><th align="center" valign="middle" >TN</th><th align="center" valign="middle" >P</th><th align="center" valign="middle" >K</th><th align="center" valign="middle" >Fe</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >Zn</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Mg</th><th align="center" valign="middle" >Na</th><th align="center" valign="middle" >S</th></tr></thead><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >−0.398</td><td align="center" valign="middle" >−0.324</td><td align="center" valign="middle" >−0.534<sup>*</sup></td><td align="center" valign="middle" >−0.503<sup>*</sup></td><td align="center" valign="middle" >−0.060</td><td align="center" valign="middle" >−0.095</td><td align="center" valign="middle" >0.133</td><td align="center" valign="middle" >−0.058</td><td align="center" valign="middle" >−0.652<sup>**</sup></td><td align="center" valign="middle" >−0.513<sup>*</sup></td><td align="center" valign="middle" >−0.241</td><td align="center" valign="middle" >0.259</td><td align="center" valign="middle" >0.028</td></tr><tr><td align="center" valign="middle" >EC</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.462<sup>*</sup></td><td align="center" valign="middle" >0.382</td><td align="center" valign="middle" >0.391</td><td align="center" valign="middle" >−0.074</td><td align="center" valign="middle" >0.150</td><td align="center" valign="middle" >0.327</td><td align="center" valign="middle" >0.082</td><td align="center" valign="middle" >−0.070</td><td align="center" valign="middle" >0.161</td><td align="center" valign="middle" >0.488<sup>*</sup></td><td align="center" valign="middle" >0.196</td><td align="center" valign="middle" >0.507<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Cl</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.429</td><td align="center" valign="middle" >0.280</td><td align="center" valign="middle" >0.427</td><td align="center" valign="middle" >0.449<sup>*</sup></td><td align="center" valign="middle" >−0.028</td><td align="center" valign="middle" >0.520<sup>*</sup></td><td align="center" valign="middle" >0.476<sup>*</sup></td><td align="center" valign="middle" >0.056</td><td align="center" valign="middle" >0.210</td><td align="center" valign="middle" >0.610<sup>**</sup></td><td align="center" valign="middle" >0.319</td></tr><tr><td align="center" valign="middle" >OM</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.972<sup>**</sup></td><td align="center" valign="middle" >0.438<sup>*</sup></td><td align="center" valign="middle" >0.708<sup>**</sup></td><td align="center" valign="middle" >0.023</td><td align="center" valign="middle" >0.555<sup>**</sup></td><td align="center" valign="middle" >0.510<sup>*</sup></td><td align="center" valign="middle" >0.306</td><td align="center" valign="middle" >0.627<sup>**</sup></td><td align="center" valign="middle" >0.183</td><td align="center" valign="middle" >0.109</td></tr><tr><td align="center" valign="middle" >TN</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.351</td><td align="center" valign="middle" >0.676<sup>**</sup></td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >0.490<sup>*</sup></td><td align="center" valign="middle" >0.372</td><td align="center" valign="middle" >0.261</td><td align="center" valign="middle" >0.630<sup>**</sup></td><td align="center" valign="middle" >0.076</td><td align="center" valign="middle" >0.105</td></tr><tr><td align="center" valign="middle" >P</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.782<sup>**</sup></td><td align="center" valign="middle" >0.097</td><td align="center" valign="middle" >0.569<sup>**</sup></td><td align="center" valign="middle" >0.285</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.311</td><td align="center" valign="middle" >0.561<sup>**</sup></td><td align="center" valign="middle" >0.176</td></tr><tr><td align="center" valign="middle" >K</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.207</td><td align="center" valign="middle" >0.668<sup>**</sup></td><td align="center" valign="middle" >0.280</td><td align="center" valign="middle" >0.152</td><td align="center" valign="middle" >0.547<sup>*</sup></td><td align="center" valign="middle" >0.626<sup>**</sup></td><td align="center" valign="middle" >0.368</td></tr><tr><td align="center" valign="middle" >Fe</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.335</td><td align="center" valign="middle" >−0.184</td><td align="center" valign="middle" >0.400</td><td align="center" valign="middle" >0.347</td><td align="center" valign="middle" >0.338</td><td align="center" valign="middle" >0.693<sup>**</sup></td></tr><tr><td align="center" valign="middle" >Mn</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.282</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >0.138</td><td align="center" valign="middle" >0.517<sup>*</sup></td><td align="center" valign="middle" >0.257</td></tr><tr><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.625<sup>**</sup></td><td align="center" valign="middle" >0.143</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >−0.101</td></tr><tr><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.411</td><td align="center" valign="middle" >−0.040</td><td align="center" valign="middle" >0.393</td></tr><tr><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.311</td><td align="center" valign="middle" >0.362</td></tr><tr><td align="center" valign="middle" >Na</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.558<sup>**</sup></td></tr><tr><td align="center" valign="middle" >S</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><p>soil nutrients in Zhongshan Park, EXPO Park, Century Park and Chenshan Botanical Garden in Shanghai confirmed that urban soils had a heterogeneous spatial distribution. The CVs of various soil qualities except for pH varied greatly between and even within parks. For example, the mean pH of soils from Zhongshan Park, Expo Park, Century Park and Chenshan Botanical Garden was 7.4, 7.7, 7.5 and 7.6, respectively, and the CVs of soil pH from different parks was &lt;5.7%, indicating a slightly alkaline nature of these urban park soils. pH and EC values increased with increasing soil depth likely due to leaching, and nutrients limiting for plants (such as N, P, K, Fe, Cu and Zn) had more shallow distributions due to absorption by plant roots. However, Mg, Na, S and chlorine decreased possibly due to the contribution of leaching and bio-cycling.</p></sec><sec id="s5"><title>Acknowledgements</title><p>We thank the special program of Shanghai Landscaping Administration Bureau (Project G102402) for financial support.</p></sec><sec id="s6"><title>Conflict of Interest</title><p>The authors declare none.</p></sec><sec id="s7"><title>Cite this paper</title><p>JingLiang,HailanFang,GuanjunHao, (2016) Effect of Plant Roots on Soil Nutrient Distributions in Shanghai Urban Landscapes. American Journal of Plant Sciences,07,296-305. doi: 10.4236/ajps.2016.72029</p></sec><sec id="s8"><title>Appendix</title><table-wrap id="table4" ><label><xref ref-type="table" rid="table2">Table 2</xref>s-1</label><caption><title> Salinity classes for soils</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >USDA class</th><th align="center" valign="middle" >Electrical conductivity range (mS/cm)</th><th align="center" valign="middle" >Crop salt tolerance</th><th align="center" valign="middle" >Example Crop</th></tr></thead><tr><td align="center" valign="middle" >A</td><td align="center" valign="middle" >0 - 2</td><td align="center" valign="middle" >Sensitive</td><td align="center" valign="middle" >Bean, strawberry, carrot, onion, citrus</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >2 - 4</td><td align="center" valign="middle" >Moderately sensitive</td><td align="center" valign="middle" >Corn, cucumber, tomato</td></tr><tr><td align="center" valign="middle" >C</td><td align="center" valign="middle" >4 - 8</td><td align="center" valign="middle" >Moderately tolerant</td><td align="center" valign="middle" >Wheat</td></tr><tr><td align="center" valign="middle" >D</td><td align="center" valign="middle" >8 - 16</td><td align="center" valign="middle" >Tolerant</td><td align="center" valign="middle" >Barley</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table2">Table 2</xref>s-2</label><caption><title> General soil fertility ratings (g/kg)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Class</th><th align="center" valign="middle" >Extremely high</th><th align="center" valign="middle" >High</th><th align="center" valign="middle" >Moderate to high</th><th align="center" valign="middle" >Low to moderate</th><th align="center" valign="middle" >Low</th><th align="center" valign="middle" >Extremely low</th></tr></thead><tr><td align="center" valign="middle" >Organic matter</td><td align="center" valign="middle" >&gt;40</td><td align="center" valign="middle" >30 - 40</td><td align="center" valign="middle" >20 - 30</td><td align="center" valign="middle" >10 - 20</td><td align="center" valign="middle" >6 - 10</td><td align="center" valign="middle" >&lt;6</td></tr><tr><td align="center" valign="middle" >Total nitrogen</td><td align="center" valign="middle" >&gt;2</td><td align="center" valign="middle" >1.5 - 2</td><td align="center" valign="middle" >1 - 1.5</td><td align="center" valign="middle" >0.75 - 1</td><td align="center" valign="middle" >0.5 - 0.75</td><td align="center" valign="middle" >&lt;0.5</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table2">Table 2</xref>s-3</label><caption><title> Critical soil test values of AB-DTPA extractable copper, iron, manganese and zinc by Soltanpour (1985)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Micro-nutrients</th><th align="center" valign="middle"  colspan="3"  >Content (mg/kg)</th></tr></thead><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >High</td></tr><tr><td align="center" valign="middle" >Iron</td><td align="center" valign="middle" >&lt;3.0</td><td align="center" valign="middle" >3.0 - 5.0</td><td align="center" valign="middle" >&gt;5.0</td></tr><tr><td align="center" valign="middle" >Copper</td><td align="center" valign="middle" >&lt;0.3</td><td align="center" valign="middle" >0.3 - 0.5</td><td align="center" valign="middle" >&gt;0.5</td></tr><tr><td align="center" valign="middle" >Zinc</td><td align="center" valign="middle" >&lt;0.9</td><td align="center" valign="middle" >0.9 - 1.5</td><td align="center" valign="middle" >&gt;1.5</td></tr><tr><td align="center" valign="middle" >Manganese</td><td align="center" valign="middle" >&lt;0.6</td><td align="center" valign="middle" >0.6 - 1.0</td><td align="center" valign="middle" >&gt;1.0</td></tr></tbody></table></table-wrap></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.63619-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gyekye</surname><given-names> K.A. </given-names></name>,<etal>et al</etal>. (<year>2013</year>)<article-title>Chemical Characteristics of Urban Soils of Vasileostrovsky Ostrov and Elagin Ostrov, St Petersburg, Russia</article-title><source> West African of Applied Ecology</source><volume> 21</volume>,<fpage> 121</fpage>-<lpage>133</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.63619-ref2"><label>2</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Lu</surname><given-names> Y.H. </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>Soil Fertility Assessment and Managing Measures for Urban Green Space in Shenzhen City</article-title><source> Journal of Soil and Water Conservation</source><volume> 19</volume>,<fpage> 153</fpage>-<lpage>156 (in Chinese)</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.63619-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Jim, C.Y. (1998) Urban Soil Characteristics and Limitations for Landscape Planting in Hong Kong. Landscape Urban Plan, 40, 235-249. http://dx.doi.org/10.1016/S0169-2046(97)00117-5</mixed-citation></ref><ref id="scirp.63619-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Bian, Z.X. and Wang, Q.B. (2003) Study on Urban Park Soil Nutrients in Shenyang City’s Green Areas. Chinese Journal of Soil Science, 34, 284-290 (in Chinese).</mixed-citation></ref><ref id="scirp.63619-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Chen, X. and Bao, B. (2008) The Main Problem and Improvement Measures of Green Space Soils in Downtown Area of Chongqing City. Modern Agricultural Sciences and Technology, 23, 58-59 (in Chinese).</mixed-citation></ref><ref id="scirp.63619-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Nazif, W., Perveen, S. and Saleem, I. (2006) Status of Micronutrients in Soils of District Bhimber (Azad Jammu and Kashmir). Journal of Agricultural and Biological Science, 1, 35-40.</mixed-citation></ref><ref id="scirp.63619-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Omonode, R.A. and Vyn, T.J. (2006) Vertical Distribution of Soil Organic Carbon and Nitrogen under Warm-Season Native Grasses Relative to Croplands in West-Central Indiana, USA. Agriculture, Ecosystems and Environment, 117, 159-170. http://dx.doi.org/10.1016/j.agee.2006.03.031</mixed-citation></ref><ref id="scirp.63619-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Meng, Y.J., Ma, X., Chen, D., Wu, P. and Chen, M. (2010) MicroRNA-Mediated Signaling Involved in Plant Root Development. Biochemical and Biophysical Research Communications, 393, 345-349. http://dx.doi.org/10.1016/j.bbrc.2010.01.129</mixed-citation></ref><ref id="scirp.63619-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Guérif, J., Richard, G. and Dürr, C. (2001) A Review of Tillage Effects on Crop Residue Management, Seedbed Conditions, and Seedling Establishment. Soil &amp; Tillage Research, 61, 13-32. http://dx.doi.org/10.1016/S0167-1987(01)00187-8</mixed-citation></ref><ref id="scirp.63619-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">LY/T 2445-2015 (2015) Technical Specification for the Protection of Greening Topsoil (in Chinese).</mixed-citation></ref><ref id="scirp.63619-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Lu, C.H. (2000) Analytical Methods for Soils and Agricultural Chemistry. Scientific and Technology Press, Beijing. (In Chinese)</mixed-citation></ref><ref id="scirp.63619-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Yang, L.Y., Li, Y. and Peng, K. (2014) Nutrients and Heavy Metals in Urban Soils under Different Green Space Types in Anji, China. Catena, 115, 39-46. http://dx.doi.org/10.1016/j.catena.2013.11.008</mixed-citation></ref><ref id="scirp.63619-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Fang, H.L., Chen, L., Huang, Y.Z., Zhang, Q., Xi, Y.W. and Zhao, X.Y. (2007) Current Situation and Strategy for the Soil Quality of Newly-Established Green Belts in Shanghai. Scientia Silvae Sinicae, 43, 89-94. (In Chinese)</mixed-citation></ref><ref id="scirp.63619-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Alexandrovskaya, E.I. and Alexandrovskiy, A.L. (2000) History of the Cultural Layer in Moscow and Accumulation of Anthropogenic Substances in It. Catena, 41, 249-259. http://dx.doi.org/10.1016/S0341-8162(00)00107-7</mixed-citation></ref><ref id="scirp.63619-ref15"><label>15</label><mixed-citation publication-type="book" xlink:type="simple">Richard, L.A., Ed. (1954) Diagnosis and Improvement of Saline and Alkali Soils. USDA Agriculture Handbook No. 60, US Government Printing Office, Washington DC.</mixed-citation></ref><ref id="scirp.63619-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Biasioli, M., Barberia, R. and Ajmonemarsan, F. (2006) The Influence of a Large City on Some Soil Properties and Metals Content. Science of the Total Environment, 356, 154-164. http://dx.doi.org/10.1016/j.scitotenv.2005.04.033</mixed-citation></ref><ref id="scirp.63619-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Thompson, K., Parkinson, J.A. and Band, S.R. (1997) A Comparative Study of Leaf Nutrient Concentration in a Regional Herbaceous Flora. New Phytologist, 136, 679-689. http://dx.doi.org/10.1046/j.1469-8137.1997.00787.x</mixed-citation></ref><ref id="scirp.63619-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Soltanpour, P.N. (1985) Use of AB-DTPA Soil Test to Evaluate Element Availability and Toxicity. Communication in Soil Science and Plant Analysis, 16, 323-338. http://dx.doi.org/10.1080/00103628509367607</mixed-citation></ref><ref id="scirp.63619-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Trudgill, S.T. (1988) Soil and Vegetation Systems. Oxford University Press, New York.</mixed-citation></ref><ref id="scirp.63619-ref20"><label>20</label><mixed-citation publication-type="book" xlink:type="simple">Yaalon, D.H. (1965) Downward Movement and Distribution of Anions in Soil Profiles with Limited Wetting. In: Hallsworth, E.G. and Crawford, D.V., Eds., Experimental Pedology, Butterworths, London, 157-164.</mixed-citation></ref><ref id="scirp.63619-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Phillips, F.M. (1994) Environmental Tracers for Water Movement in Desert Soils of the American Southwest. Soil Science Society of America Journal, 58, 15-24. http://dx.doi.org/10.2136/sssaj1994.03615995005800010003x</mixed-citation></ref><ref id="scirp.63619-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Tyler, S.W. and Walker, G.R. (1994) Root Zone Effects on Tracer Migration in Arid Zones. Soil Science Society of America Journal, 58, 25-31. http://dx.doi.org/10.2136/sssaj1994.03615995005800010004x</mixed-citation></ref><ref id="scirp.63619-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Jobbáge, E.G. and Jackson, R.B. (2001) The Dis-tribution of Soil Nutrients with Depth: Global Patterns and the Imprint of Plants. Biogeochemistry, 53, 51-77. http://dx.doi.org/10.1023/A:1010760720215</mixed-citation></ref><ref id="scirp.63619-ref24"><label>24</label><mixed-citation publication-type="book" xlink:type="simple">Rengel, Z. (2003) Heavy Metals as Essential Nutrients. In: Prasad, M.N.V. and Hagemeyer, J., Eds., Heavy Metal Stress in Plants: Molecules to Ecosystems, Springer-Verlag, Berlin, Heidelberg, 271-294.</mixed-citation></ref><ref id="scirp.63619-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Gao, S., Yang, W., Wang, S. and Chen, F. (2008b) Effects of Copper an Growth, Antioxidant Enzymes and Phenylalanine Ammonia-Lyase Activities in Jatropha curcas L. Seedling. Plant, Soil and Environment, 54, 117-122.</mixed-citation></ref><ref id="scirp.63619-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Jiang, Y., Zhang, Y.G., Liang, W.J. and Wen, D.Z. (2005) Profile Distribution of Micronutrients in an Aquic Brown Soil as Affected by Land Use. Agricultural Sciences in China, 4, 199-206.</mixed-citation></ref><ref id="scirp.63619-ref27"><label>27</label><mixed-citation publication-type="book" xlink:type="simple">Stark, J.M. (1994) Causes of Soil Nutrient Heterogeneity at Different Scales. In: Caldwell, M.M. and Pearcy, R.W., Eds., Exploitation of Environmental Heterogeneity by Plants, Academic Press, San Diego, 255-284.http://dx.doi.org/10.1016/B978-0-12-155070-7.50014-7</mixed-citation></ref><ref id="scirp.63619-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Brady, N.C. and Weil, R.R. (2002) The Nature and Properties of Soils. 13th Edition, Prentice Hall, Upper Saddle River.</mixed-citation></ref><ref id="scirp.63619-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Wallace, A. (1994) Soil Acidification from Use of Too Much Fertilizer. Communications in Soil Science and Plant Analysis, 25, 87-92. http://dx.doi.org/10.1080/00103629409369010</mixed-citation></ref><ref id="scirp.63619-ref30"><label>30</label><mixed-citation publication-type="book" xlink:type="simple">Rengel, Z. (2007) Cycling of Micronutrients in Terrestrial Ecosystems. In: Marschner, P. and Rengel, Z., Eds., Nutrient Cycling in Terrestrial Ecosystems, Springer-Verlag, Berlin, Heidelberg, 93-121.http://dx.doi.org/10.1007/978-3-540-68027-7_4</mixed-citation></ref></ref-list></back></article>