|
|
|
| Spatial distribution and influential factors of soil carbon and nitrogen in Dagangshan Watershed |
| LIU Panwei1, GAO Peng1, LIU Xiaohua1, LIU Shengtao1, NIU Xiang2, WANG Bing2 |
1. Forestry College of Shandong Agricultural University, Mountain Tai Forest Ecosystem Research Station of State Forestry Administration, Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, 271018, Tai'an, Shandong, China;
2. Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, 100091, Beijing, China |
|
|
|
|
Abstract [Background] Soil organic carbon (SOC) and soil total nitrogen (STN) are both important ecological factors in terrestrial ecosystems and important elements of global carbon and nitrogen cycle and climate change research. So far, there are many studies on the spatial distribution characteristics of soil carbon and nitrogen elements and their influencing factors in different scales or land use patterns at home and abroad. However, the methods are mostly based on ordinary Kriging and regression Kriging interpolation. There are few studies on the spatial distribution characteristics of soil carbon and nitrogen elements and their influencing factors based on the comprehensive effects of vegetation and topographic factors.[Methods] In order to study the spatial heterogeneity distribution of soil carbon and nitrogen elements in Dagangshan Watershed of Jiangxi province, the topsoil of the watershed was studied with ZY-3 remote sensing image as the basic data source. Based on ESRI ArcGIS 10.2 platform, NDVI and related terrain factors were extracted to establish the correlation model between SOC, STN and vegetation and topographic factors, so as to analyze the spatial distribution characteristics of soil carbon and nitrogen elements. In addition, topographic factors such as elevation, slope, terrain wetness index, water power index, and sediment transport index were selected to analyze their influence on SOC and STN spatial distribution.[Results] 1) The average contents of SOC and STN were 25.55 g/kg and 1.61 g/kg respectively, and the coefficients of variation were 64.16% and 28.37% respectively. Both SOC and STN were of moderate variation. 2) Vegetation and topographic factors had a significant spatial correlation with SOC and STN, and the spatial distribution of SOC and STN were constructed based on NDVI, elevation, and terrain wetness index which showed SOC and STN decreased from northwest to southeast, which was consistent with the spatial distribution of NDVI and DEM. 3) The contents of SOC and STN were significantly and negatively correlated with water power index and sediment transport index, but positively correlated with NDVI, elevation, slope, and terrain wetness index.[Conclusions] The above results prove that the spatial distribution of SOC and STN of the topsoil in the Dagangshan Watershed are determined by NDVI and terrain factors. The general trend of NDVI distribution in the distribution pattern of different vegetation types in the basin is gradually decreasing from northwest to southeast. At the same time, elevation, slope and TWI are decreasing from northwest to southeast, while WPI and STI are opposite. The above factors affect the spatial distribution pattern of SOC and STN in the watershed. The results may provide a reference for the spatial distribution of soil carbon and nitrogen in forest soil and the quantitative evaluation of soil and water conservation in the red soil region of southern China.
|
|
Received: 09 February 2017
|
|
|
|
|
|
| [1] |
李龙, 姚云峰, 秦富仓, 等. 小流域土壤有机碳密度空间变异特征的尺度效应研究[J]. 土壤, 2014, 46(5):787. LI Long, YAO Fengyun, QIN Fucang, et al. Scale-dependency of spatial variability of soil organic carbon density in small watershed[J]. Soils, 2014, 46(5):787.
|
| [2] |
王海燕, 张洪江, 杨平, 等. 不同水土保持林地土壤有机碳研究[J].长江流域资源与环境, 2010, 19(5):535. WANG Haiyan, ZHANG Hongjiang, YANG Ping, et al. Soil organic carbon under different forests for water and soil conservation[J]. Resources and Environment in the Yangtze Basin, 2010, 19(5):535.
|
| [3] |
YALES S R, WARRICK A W. Estimating soil water content using Cokriging[J]. Soil Science Society of America Journal, 1987, 51:23.
|
| [4] |
SURESH K, RAVINDER P S. Spatial distribution of soil nutrients in a watershed of Himalayan landscape using terrain attributes and geostatistical methods[J]. Environmental Earth Sciences, 2016, 75(6):1.
|
| [5] |
车宗玺, 刘贤德, 车宗奇, 等. 祁连山青海云杉林土壤有机质及氮素的空间分布特征[J]. 水土保持学报, 2014, 28(5):164. CHE Zongxi, LIU Xiande, CHE Zongqi, et al. Spatial distribution characteristics of soil organic matter and nitrogen of Picea crassifolia in Qilian Mountains[J]. Journal of Soil and Water Conservation, 2014, 28(5):164.
|
| [6] |
张素梅, 王宗明, 张柏, 等. 利用地形和遥感数据预测土壤养分空间分布[J]. 农业工程学报, 2010, 26(5):188. ZHANG Sumei, WANG Zongming, ZHANG Bai, et al. Prediction of spatial distribution of soil nutrients using terrain attributes and remote sensing data[J]. Transactions of the CSAE, 2010, 26(5):188.
|
| [7] |
王燕, 刘苑秋, 曾炳生, 等. 江西大岗山常绿阔叶林土壤养分特征研究[J]. 江西农业大学学报, 2010, 32(1):96. WANG Yan, LIU Yuanqiu, ZENG Bingsheng, et al. A study on soil nutrient characteristics of evergreen broad-leaved forests in Dagangshan Mountain[J]. Acta Agriculturae Universitatis Jiangxiensis, 2010, 32(1):96.
|
| [8] |
陶吉兴, 傅伟军, 姜培坤, 等. 基于Moran's I和地统计学的浙江森林土壤有机碳空间分布研究[J]. 南京林业大学学报(自然科学版), 2014, 38(5):97. TAO Jixing, FU Weijun, JIANG Peikun, et al. Using Moran's I and geostatistics to analyze the spatial distribution of organic carbon in forest soil of Zhejiang province[J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2014, 38(5):97.
|
| [9] |
马黄群, 胡玉福, 徐柱, 等. 运用地统计学的土壤有机碳含量空间分布研究[J]. 地理空间信息, 2012, 10(3):75. MA Huangqun, HU Yufu, XU Zhu, et al. Spatial distribution of soil organic carbon content using geostatistics[J]. Geospatial Information, 2012, 10(3):75.
|
| [10] |
张立勇, 高鹏, 王成军, 等. 鲁中南药乡小流域林地土壤有机碳空间分布特征[J]. 中国水土保持科学, 2015, 13(3):83. ZHANG Liyong, GAO Peng, WANG Chengjun, et al. Spatial distribution of soil organic carbon in the forestland of the Yaoxiang small watershed in central and southern Shandong Province[J]. Science of Soil and Water Conservation, 2015, 13(3):83.
|
| [11] |
张忠启, 史学正, 于东升, 等. 红壤区土壤有机质和全氮含量的空间预测方法[J]. 生态学报, 2010, 30(19):5338. ZHANG Zhongqi, SHI Xuezheng, YU Dongsheng, et al. Spatial prediction of soil organic matter and total nitrogen in the hilly red soil region, China[J]. Acta Ecologica Sinica, 2010, 30(19):5338.
|
| [12] |
张甘霖, 龚子同. 土壤调查法实验室分析方法[M]. 北京:科学出版社, 2012:47. ZHANG Ganlin, GONG Ziong. Soil survey laboratory methods[M]. Beijing:Science Press, 2012:47.
|
| [13] |
甄贞, 郭志英, 赵颖慧, 等. 基于局域模型的凉水国家自然保护区土壤全氮空间分布[J]. 生态应用学报, 2016, 27(2):549. ZHEN Zhen, GUO Zhiying, ZHAO Yinghui, et al. Spatial distribution of soil total nitrogen in Liangshui National Nature Reserve based on local model[J]. Chinese Journal of Applied Ecology, 2016, 27(2):549.
|
| [14] |
吕洋, 董国涛, 杨胜天, 等. 雅鲁藏布江流域NDVI时空变化及其与降水和高程的关系[J]. 资源科学, 2014, 36(3):603. LVYang, DONG Guotao, YANG Shengtian, et al. Spatio-temporal variation in NDVI in the Yarlung Zangbo River Basin and its relationship with precipitation and elevation[J]. Resources Science, 2014, 36(3):603.
|
| [15] |
FABIYI O O, IGE-OLUMIDE O, FABIYI A O. Spatial analysis of soil fertility estimates and NDVI in south-western Nigeria:A new paradigm for routine soil fertility mapping[J]. Research Journal of Agriculture and Environmental Management, 2013, 2(12):403.
|
| [16] |
石淑芹, 曹祺文, 李正国, 等. 区域尺度土壤养分的协同克里格与普通克里格估值研究[J]. 干旱区资源与环境, 2017, 28(5):109. SHI Shuqin, CAO Qiwen, LI Zhengguo, et al. Cokriging and Kriging estimations on soil nutrients at regional scale[J]. Journal of Arid Land Resources and Environment, 2017, 28(5):109.
|
| [17] |
GAO Peng, WANG Bing, GENG Guangpo, et al. Spatial distribution of soil organic carbon and total nitrogen based on GIS and geostatistics in a small watershed in a hilly area of northern China[J]. Plos One, 2013, 8(12):e83592.
|
| [18] |
张彩霞, 杨勤科, 李锐. 基于DEM的地形湿度指数及其应用研究进展[J]. 地理科学进展, 2005, 24(6):116. ZHANG Caixia, YANG Qinke, LI Rui. Advancement in topographic wetness index and its application[J]. Progress in Geography, 2005, 24(6):116.
|
|
|
|
