内蒙古草地地下生物量空间格局分析

doi:10.11686/cyxb2015402

草业学报 ›› 2016, Vol. 25 ›› Issue (6): 1-12.DOI: 10.11686/cyxb2015402

• 研究论文 • 下一篇

内蒙古草地地下生物量空间格局分析

乔宇鑫^{1, 3}, 朱华忠², 钟华平^{2*, *}, 伍兆文^{1, 3}, 孟雷¹, 周李磊^{2, 4}

1.中国农业大学生物科学院,北京 100193;
2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101;
3.中国科学院地理科学与资源研究所陆地表层格局与模拟院重点实验室,北京 100101;
4.重庆师范大学三峡库区地表过程与环境遥感重庆市重点实验室,重庆 400047

收稿日期:2015-09-05 修回日期:2015-11-30 出版日期:2016-06-20 发布日期:2016-06-20
通讯作者: E-mail:zhonghp@igsnrr.ac.cn
作者简介:乔宇鑫(1993-),男,内蒙古包头人,在读本科。E-mail:1076998051@qq.com
基金资助:
国家科技基础性工作专项(2012FY111900-2,2011FY110400-3),国家科技基础条件平台-地球系统科学数据共享平台(2005DKA32300),北京市大学生科学研究与创业行动计划项目(2015bj021)和国家自然科学基金(J1103520)资助

Spatial interpolation analysis of grassland below-ground biomass in the Inner Mongolia Autonomous Region, China

QIAO Yu-Xin^{1, 3}, ZHU Hua-Zhong², ZHONG Hua-Ping^{2, *}, WU Zhao-Wen^{1, 3}, MENG Lei¹, ZHOU Li-Lei^{2, 4}

1.China Agricultural University, Beijing 100193, China;
2.State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Researches, CAS, Beijing 100101, China;
3.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China;
4.Chongqing Normal University, Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in Three Gorges Reservoir Area, Chongqing 400047, China

Received:2015-09-05 Revised:2015-11-30 Online:2016-06-20 Published:2016-06-20

摘要/Abstract

摘要： 本文以内蒙古地区198个草地样地地下生物量调查测定数据为基础,结合遥感及气象数据,进行草地地下生物量与海拔、年均气温、年均降雨、≥10℃年积温、湿润度和NDVI等6个生态因子间的回归分析。根据回归拟合方程,借助ArcGIS平台进行单因素插值,并通过插值预测结果与实测数据的拟合程度赋予各因素不同的权重,加权叠加估算,并综合插值出内蒙古草地地下生物量1 km×1 km栅格的空间分布图。结果表明:内蒙古地区草地地下生物量平均值为1364.06 g/m²,其中温性草原类草地的地下生物量最大,为1916.64 g/m²,温性荒漠类最小,为80.39 g/m²;草地地下生物量与年均气温、年均降雨、≥10℃年积温、湿润度和NDVI均有着极显著的相关性;空间格局上,自东北向西南方向草地地下生物量呈现由高向低过渡的趋势,呼伦贝尔盟和锡林郭勒盟东部地区的地下生物量最高,阿拉善盟大部分地区地下生物量较低;内蒙古草地植被地下生物量空间插值数据通过了检验,预测精度为66.62%。

Abstract: This study combines survey data on the below-ground biomass of 198 grassland plots in the Inner Mongolia Autonomous Region with remote sensing and meteorological data. Correlation and regression analyses have been conducted between the recorded below-ground biomass and elevation, annual average temperature, precipitation, ≥10℃ annual accumulated temperature, moisture index and NDVI (normalized difference vegetation index). Based on the regression equation, a single factor interpolation was undertaken using the ArcGIS platform, with different weights assigned to different factors based on the degree of fit between the predicted results of the interpolation and the measured results. In terms of the weighted superposition of values, the integrated underground biomass interpolation is graphed as a 1 km×1 km grid. The results show that the average below-ground biomass of grasslands in the Inner Mongolia Autonomous Region is 1364.06 g/m². The below-ground biomass of temperate steppe is the highest (1916.64 g/m²) while that of temperate desert is the lowest (80.39 g/m²). There is a significant correlation between below-ground biomass and annual average temperature, precipitation, ≥10℃ annual accumulated temperature, moisture index, and NDVI in the Inner Mongolia district. In terms of spatial pattern, the below-ground biomass of grasslands shows a decreasing trend from northeast to southwest, with the highest scores in the east of Hulunbeir League and Xilin Gol League and the lowest scores in Alxa League. This study demonstrates the value of the spatial interpolation of data on below-ground vegetation biomass in Inner Mongolia grasslands, with a forecast accuracy of 66.62%.

乔宇鑫, 朱华忠, 钟华平, 伍兆文, 孟雷, 周李磊. 内蒙古草地地下生物量空间格局分析[J]. 草业学报, 2016, 25(6): 1-12.

QIAO Yu-Xin, ZHU Hua-Zhong, ZHONG Hua-Ping, WU Zhao-Wen, MENG Lei, ZHOU Li-Lei. Spatial interpolation analysis of grassland below-ground biomass in the Inner Mongolia Autonomous Region, China[J]. Acta Prataculturae Sinica, 2016, 25(6): 1-12.

参考文献

[1] Dai C, Kang M Y, Ji W Y, et al . Responses of belowground biomass and biomass allocation to environmental factors in central grassland of Inner Mongolia. Acta Agrestla Sinica, 2012, 20(2): 268-274.
[2] Li K H, Wang W L, Hu Y K. Relationships between belowground biomass of alpine grassland and environmental factors along an altitude gradient. Chinese Journal of Applied Ecology, 2008, 19(11): 2364-2368.
[3] Hu Z M, Fan J W, Zhong H P, et al . Progress on grassland underground biomass researches in China. Chinese Journal of Ecology, 2005, 24(9): 1095-1101.
[4] Chai X, Liang C Z, Liang M W, et al . Seasonal dynamics of belowground biomass and productivity and potential of carbon sequestration in meadow steppe and typical steppe, in Inner Mongolia, China. Acta Ecologica Sinica, 2014, 34(19): 5530-5540.
[5] Huang D Q, Yu L, Zhang Y S, et al . Belowground biomass and its relationship to environmental factors of natural grassland on the northern slopes of the Qilian Mountains. Acta Prataculturae Sinica, 2011, 20(5): 1-10.
[6] Mu S J, Li J L, Yang H F, et al . Spatio-temporal variation analysis of grassland net primary productivity and its relationship with climate over the past 10 years in Inner Mongolia. Acta Prataculturae Sinica, 2013, 22(3): 6-15.
[7] Hui D F, Jackson R B. Geographical and interannual variability in biomass partitioning in grassland ecosystems: a synthesis of field data. New Phytologist, 2006, 169(1): 85-93.
[8] Yang X J, Huang M, Wang J B, et al . Belowground biomass in Tibetan grasslands and its environmental control factors. Acta Ecologica Sinica, 2013, 33(7): 2032-2042.
[9] Jin Y X, Xu B, Yang X C, et al . Belowground biomass and features of environmental factors in the degree of grassland desertification. Acta Prataculturae Sinica, 2013, 22(5): 44-51.
[10] Yu W T, Yu Y Q. Advances in the research of underground biomass. Chinese Journal of Applied Ecology, 2001, 12(6): 927-932.
[11] Yan Y, Zhang J G, Zang J H, et al . The belowground biomass in alpine grassland in Nakchu Prefecture of Tibet. Acta Ecologica Sinica, 2005, 25(11): 2818-2823.
[12] Wang M, Su Y Z, Yang R, et al . Allocation patterns of above- and belowground biomass in desert grassland in the middle reaches of Heihe River, Gansu Province, China. Chinese Journal of Plant Ecology, 2013, 37(3): 209-219.
[13] Chen J J, Yi S H, Ren S L, et al . Retrieval of fractional vegetation cover of alpline grassland and the efficiency of remote sensing retrieval in the upper of Shule River Basin. Pratacultural Science, 2014, 30(1): 56-65.
[14] Li C, Xiao J D, Cao Z Z, et al . Application of MODIS data in remote sensing estimation of prairie biomass in different seasons. Arid Zone Research, 2007, 24(3): 386-391.
[15] Ma W H, Fang J Y. The relationship between species richness and productivity in four typical grasslands of northern China. Biodiversity Science, 2006, 14(1): 21-28.
[16] Men L H, Sheng J D, Jia H T, et al . Spatial distribution and influencing factors of temperate desert grassland biomass in northern Xinjiang. Acta Ecologica Sinica, 2013, 21(5): 861-868.
[17] Hou Z J, Zhao C Z, Dong X G, et al . Responses of spatial pattern of aboveground biomass of natural grassland to terrain at different scales in northern slope of Qilian Mountains. Chinese Journal of Ecology, 2014, 33(1): 10-15.
[18] Zhang G L, Xu X L, Zhou C P, et al . Responses of vegetation changes to climatic variations in Hulun Buir Grassland in past 30 years. Acta Geographica Sinica, 2011, 66(1): 47-58.
[19] Zhang R, Liu P X, Zhang K X. Spatio-temporal characteristics of potential climate productivity of grassland and Its responses to climate change in Xinjiang, China. Journal of Desert Research, 2012, 32(1): 181-187.
[20] Wang J, Li B L, Yu W L. Analysis of vegetation trend and their causes during recent 30 years in Inner Mongolia Autonomous Region. Journal of Arid Land Resources and Environment, 2012, 26(2): 132-137.
[21] Li X G. Based on the MODIS NDVI Analysis of the Vegetation Cover Change and its Driving Factors in Inner Mongolia[D]. Hohhot: Inner Mongolia University, 2014: 20-21.
[22] Liao G F, Jia Y L. Rangeland Resources of China[M]. Beijing: Science and Technology of China Press, 1996.
[23] Chen K S, Wu T D, Tsang L, et al . Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations. Geoscience and Remote Sensing, IEEE Transaction, 2003, 41(1): 90-101.
[24] Ma W H, Yang Y H, He J S, et al . The relationship between the temperate grassland biomass and its environmental factors. Science in China, 2008, 38(1): 84-92.
[25] Cao W X, Xu C L, Zhang D G, et al . Ecological responses of soil bulk density and water content to different non-grazing patterns in alpine rhododendron shrubland. Acta Prataculturae Sinica, 2011, 20(3): 28-35.
[26] Lian G, Guo X D, Fu B J, et al . Spatial variability of bulk density and soil water in a small catchment of the Loess Plateau. Acta Ecologica Sinica, 2006, 26(3): 647-654.
[27] Zhang C H, Wang M J, Li X H, et al . The characteristics of temporal and spatial distribution of climate dry-wet conditions over Inner Mongolia in recent 30 years. Journal of Arid Land Resources and Environment, 2011, 25(8): 70-75.
[28] Qu C P, Guan D X, Wang A Z, et al . Comparison of grassland biomass estimation models based on MODIS data. Chinese Journal of Ecology, 2008, 27(11): 2028-2032.
[29] Wang J W, Chen G. Vegetation index and biomass estimation for grassland. Journal of Yunnan Agricultural University, 2006, 21(3): 372-375.
[30] Lu H, Cong J, Liu X, et al . Plant diversity patterns along altitudinal gradients in alpine meadows in the Three River Headwater Region, China. Acta Prataculturae Sinica, 2015, 24(7): 197-204.
[31] Han B, Fan J W, Zhong H P. Grassland biomass of communities along gradients of the Inner Mongolia grassland transect. Journal of Plant Ecology, 2006, 30(4): 553-562.
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[2] 李凯辉, 王万林, 胡玉昆, 等. 不同海拔梯度高寒草地地下生物量与环境因子的关系. 应用生态学报, 2008, 19(11): 2364-2368.
[3] 胡中民, 樊江文, 钟华平, 等. 中国草地地下生物量研究进展. 生态学杂志, 2005, 24(9): 1095-1101.
[4] 柴曦, 梁存柱, 梁茂伟, 等. 内蒙古草甸草原与典型草原地下生物量与生产力季节动态及其碳库潜力. 生态学报, 2014, 34(19): 5530-5540.
[5] 黄德青, 于兰, 张耀生, 等. 祁连山北坡天然草地地下生物量及其与环境因子的关系. 草业学报, 2011, 20(5): 1-10.
[6] 穆少杰, 李建龙, 杨红飞, 等. 内蒙古草地生态系统近10 年NPP时空变化及其与气候的关系. 草业学报, 2013, 22(3): 6-15.
[8] 杨秀静, 黄玫, 王军邦, 等. 青藏高原草地地下生物量与环境因子的关系. 生态学报, 2013, 33(7): 2032-2042.
[9] 金云翔, 徐斌, 杨秀春, 等. 不同沙化程度草原地下生物量及其环境因素特征. 草业学报, 2013, 22(5): 44-51.
[10] 宇万太, 于永强. 植物地下生物量研究进展. 应用生态学报, 2001, 12(6): 927-932.
[11] 鄢燕, 张建国, 张锦华, 等. 西藏那曲地区高寒草地地下生物量. 生态学报, 2005, 25(11): 2818-2823.
[12] 王敏, 苏永中, 杨荣, 等. 黑河中游荒漠草地地上和地下生物量的分配格局. 植物生态学报, 2013, 37(3): 209-219.
[13] 陈建军, 宜树华, 任世龙, 等. 疏勒河上游高寒草地植被盖度反演及精度评价. 草业科学, 2014, 30(1): 56-65.
[14] 李聪, 肖继东, 曹占洲, 等. 应用MODIS数据估算草地生物量. 干旱区研究, 2007, 24(3): 386-391.
[15] 马文红, 方精云. 中国北方典型草地物种丰富度与生产力的关系. 生物多样性, 2006, 14(1): 21-28.
[16] 门学慧, 盛建东, 贾宏涛, 等. 北疆温性荒漠类草地生物量空间分布及影响因素. 草地学报, 2013, 21(5): 861-868.
[17] 侯兆疆, 赵成章, 董小刚, 等. 祁连山北坡天然草地不同尺度地上生物量空间格局对地形的响应. 生态学杂志, 2014, 33(1): 10-15.
[18] 张戈丽, 徐兴良, 周才平, 等. 近30年来呼伦贝尔地区草地植被变化对气候变化的响应. 地理学报, 2011, 66(1): 47-58.
[19] 张锐, 刘普幸, 张克新. 新疆草地气候生产潜力变化特征及对气候响应的预测研究. 中国沙漠, 2012, 32(1): 181-187.
[20] 王娟, 李宝林, 余万里. 近30年内蒙古自治区植被变化趋势及影响因素分析. 干旱区资源与环境, 2012, 26(2): 132-137.
[21] 李晓光. 基于MODIS-NDVI的内蒙古植被覆盖变化及其驱动因子分析[D]. 呼和浩特:内蒙古大学, 2014: 20-21.
[22] 廖国藩, 贾幼铃. 中国草地资源[M]. 北京:中国科学技术出版社, 1996.
[24] 马文红, 杨元合, 贺金生, 等. 内蒙古温带草地生物量及其与环境因子的关系. 中国科学, 2008, 38(1): 84-92.
[25] 曹文侠, 徐长林, 张德罡, 等. 杜鹃灌丛草地地下生物量与水分特征对不同休牧模式的响应. 草业学报, 2011, 20(3): 28-35.
[26] 连纲, 郭旭东, 傅伯杰, 等. 黄土高原小流域土壤容重及水分空间变异特征. 生态学报, 2006, 26(3): 647-654.
[27] 张存厚, 王明玖, 李兴华, 等. 近30年来内蒙古地区气候干湿状况时空分布特征. 干旱区资源与环境, 2011, 25(8): 70-75.
[28] 渠翠平, 关德新, 王安志, 等. 基于MODIS数据的草地生物量估算模型比较. 生态学杂志, 2008, 27(11): 2028-2032.
[29] 王建伟, 陈功. 草地植被指数及生物量的遥感估测. 云南农业大学学报, 2006, 21(3): 372-375.
[30] 卢慧, 丛静, 刘晓, 等. 三江源区高寒草甸植物多样性的海拔分布格局. 草业学报, 2015, 24(7): 197-204.
[31] 韩彬, 樊江文, 钟华平. 内蒙古草地样带植物群落生物量的梯度研究. 植物生态学报, 2006, 30(4): 553-562.

内蒙古草地地下生物量空间格局分析

Spatial interpolation analysis of grassland below-ground biomass in the Inner Mongolia Autonomous Region, China

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