Chin J Plan Ecolo ›› 2013, Vol. 37 ›› Issue (7): 631-640.doi: 10.3724/SP.J.1258.2013.00065

• Research Articles • Previous Articles     Next Articles

Evaluating the impact of soil factors on the potential distribution of Phyllostachys edulis (bamboo) in China based on the species distribution model

JIN Jia-Xin1, JIANG Hong1,2*, PENG Wei1, ZHANG Lin-Jing1, LU Xue-He1, XU Jian-Hui1,3, ZHANG Xiu-Ying1, and WANG Ying1   

  1. 1International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

    2International Center of Spatial Ecology and Ecosystem Ecology, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China;

    3Chuzhou University, Chuzhou, Anhui 239000, China
  • Received:2013-03-05 Revised:2013-05-23 Online:2013-07-05 Published:2013-07-01
  • Contact: JIANG Hong


Aims We aimed to detect the impact of soil factors on predicting the potential distribution of Phyllostachys edulis (bamboo) by comparing the prediction accuracy and the spatio-temporal pattern of potential habitat of P. edulis.
Methods Using IPCC (Intergovernmental Panel on Climate Change) climate change scenario datasets and FAO (Food and Agriculture Organization) Soil Map of the World, the potential distribution of P. edulis in China was predicted from 1981 to 2099 based on species distribution models, one-class Support Vector Machine (SVM). We used two groups of predictors: one included climate factors only, and the other had both climate factors and soil factors.
Important findings The SVM based on both predictor groups predicted the potential distribution of P. edulis, and the potential habitat expended and migrated northward with time. Factor importance analysis showed that the climate factors correlated with warm conditions played a driving role in the simulation of the potential habitat of P. edulis, while soil factors associated with soil texture and pH mainly impacted the simulation as limiting factors. However, the prediction using both climate and soil predictors performed with higher efficiency, and the intensity of the potential habitat expending and migrating was less than that of the group of climate factors only. The finding suggested that the soil factors significantly constrain the potential habitat of P. edulis, and soil constraint should be considered in predicting species distribution in future.

[1]Ashcroft MB, French KO, Chisholm LA (2011). An evaluation of environmental factors affecting species distributions. Ecological Modelling, 222, 524–531. Crossref
[2] Carpenter G, Gillison AN, Winter J (1993). DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals. Biodiversity and Conservation, 2, 667–689. Crossref
[3] Coops NC, Waring RH, Law BE (2005). Assessing the past and future distribution and productivity of ponderosa pine in the Pacific Northwest using a process model, 3-PG. Ecological Modelling, 183, 107–124. Crossref
[4] Cristianini N, Scholkopf B (2002). Support vector machines and kernel methods: the new generation of learning machines. Ai Magazine, 23, 31–41. Crossref
[5] Donald PF, Aratrakorn S, Htun TW, Eames JC, Hla H, Thunhikorn S, Sribua-Rod K, Tinun P, Aung SM, Zaw SM, Buchanan GM (2009). Population, distribution, habitat use and breeding of Gurney’s Pitta Pitta gurneyi in Myanmar and Thailand. Bird Conservation International, 19, 353–366. Crossref
[6] Editorial Committee of Chinese Academy of Chinese Vegetation Maps (2001). 1:1000000 Vegetation Atlas of China. Science Press, Beijing. [中国科学院中国植被图编辑委员会 (2001). 1:100万中国植被图集. 科学出版社, 北京.] Crossref
[7] Elith J, Burgman MA (2002). Predictions and their validation: rare plants in the Central Highlands, Victoria, Australia. In: Scott JM, Heglund P, Wall W, Samson F, Haufler J eds. Predicting Species Occurrences: Issues of Accuracy and Scale. Island Press, Covelo, USA. 303–314. Crossref
[8] Fielding AH, Bell JF (1997). A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38–49. Crossref
[9] Guisan A, Thuiller W (2005). Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8, 993–1009. Crossref
[10] Guo QH, Kelly M, Graham CH (2005). Support vector machines for predicting distribution of sudden oak death in Califernia. Ecological Modelling, 182, 75–90. Crossref
[11] Guo QH, Liu Y (2010). ModEco: an integrated software package for ecological niche modeling. Ecography, 33, 637– 642. Crossref
[12] Hanley JA, McNeil BJ (1982). The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology, 143, 29–36. Crossref
[13] Hao JM, Xie SD, Duan L (2001). The Critical Load of Acid Deposition and Its Application. Tsinghua University Press, Beijing. 82–145. (in Chinese) [郝吉明, 谢绍东, 段雷 (2001). 酸沉降临界负荷及其应用. 清华大学出版社, 北京. 82–145.] Crossref
[14] He HS, Mladenoff DJ, Crow TR (1999). Linking an ecosystem model and a landscape model to study forest species response to climate warming. Ecological Modelling, 114, 213–233. Crossref
[15] Lehmann A, Overton JM, Leathwick JR (2003). GRASP: generalized regression analysis and spatial prediction. Ecological Modelling, 160, 165–183. Crossref
[16] Li GQ, Liu JH, Zhang SP (1983). A study of the technical effects on introducing Phyllostachys pubescens northward. Journal of Bamboo Research, 2, 125–133. (in Chinese with English abstract) [李国庆, 刘君慧, 张顺平 (1983). 毛竹北移技术效果的研究. 竹子研究汇刊, 2, 125–133.] Crossref
[17] Li TF, Li JQ (2009). Analysis of the concentration of total phenolics in Fargesia denudate Yi. Acta Ecologica Sinica, 29, 4513–4516. (in Chinese with English abstract) [李腾飞, 李俊清 (2009). 四川王朗自然保护区缺苞箭竹(Fargesia denudate)总酚含量及变化规律. 生态学报, 29, 4513–4516.] Crossref
[18] Liu JL, Sun BL, Yang Z (2011). Estimation of the physical and mechanical properties of Neosinocalamus affinins using near infrared spectroscopy. Spectroscopy and Spectral Analysis, 31, 647–651. (in Chinese with English abstract) [刘君良, 孙柏玲, 杨忠 (2011). 近红外光谱法分析慈竹物理力学性质的研究. 光谱学与光谱分析, 31, 647–651.] Crossref
[19] Loehle C, LeBlanc D (1996). Model-based assessments of climate change effects on forests: a critical review. Ecological Modelling, 90, 1–31. Crossref
[20] Miller J, Franklin J, Aspinall R (2007). Incorporating spatial dependence in predictive vegetation models. Ecological Modelling, 202, 225–242. Crossref
[21] Nath AJ, Das G, Das AK (2009). Aboveground standing biomass and carbon storage in village bamboos in Northeast India. Biomass and Bioenergy, 33, 1188–1196. Crossref
[22] O’hanley JR (2009). NeuralEnsembles: a neural network based ensemble forecasting program for habitat and bioclimatic suitability analysis. Ecography, 32, 89–93. Crossref
[23] Oppel S, Schaefer HM, Schmidt V, Schröder B (2004). Habitat selection by the pale-headed brush-finch (Atlapetes pallidiceps) in southern Ecuador: implications for conservation. Biological Conservation, 118, 33–40. Crossref
[24] Pearson RG, Dawson TP, Berry PM, Harrison PA (2002). SPECIES: a spatial evaluation of climate impact on the envelope of species. Ecological Modelling, 154, 289–300. Crossref
[25] Schölkopf B, Platt JC, Shawe-Taylor J, Smola AJ, Williamson RC (1999). Estimating the support of a high-dimensional distribution. Neural Computation, 13, 1443–1471. Crossref
[26] Segarra J, Acevedo M, Raventós J, Garcia-Núñez C, Silva JF (2009). Coupling soil water and shoot dynamics in three grass species: a spatial stochastic model on water competition in neotropical savanna. Ecological Modelling, 220, 2734–2743. Crossref
[27] Song XZ, Zhou GM, Jiang H, Yu SQ, Fu JH, Li WZ, Wang WF, Ma ZH, Peng CH (2011). Carbon sequestration by Chinese bamboo forests and their ecological benefits: assessment of potential, problems, and future challenges. Environmental Reviews, 19, 418–428. Crossref
[28] Stoner ER, Baumgardner MF (1981). Characteristic variations in reflectance of surface soils. Soil Science Society of America Journal, 45, 1161–1165. Crossref
[29] Thuiller W, Lavorel S, Araújo MB, Sykes MT, Prentice IC (2005). Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences of the United States of America, 102, 8245–8250. Crossref
[30] Tsuyama I, Nakao K, Matsui T, Higa M, Horikawa M, Kominami Y, Tanaka N (2011). Climatic controls of a keystone understory species, Sasamorpha borealis, and an impact assessment of climate change in Japan. Annals of Forest Science, 68, 689–699. Crossref
[31] Tu LH, Hu TX, Zhang J, Dai HZ, Li RH, Xiang YB, Luo SH (2011). Effect of simulated nitrogen deposition on nutrient release in decomposition of several litter fractions of two bamboo species. Acta Ecologica Sinica, 31, 1547–1557. (in Chinese with English abstract) [涂利华, 胡庭兴, 张健, 戴洪忠, 李仁洪, 向元彬, 雒守华 (2011). 模拟氮沉降对两种竹林不同凋落物组分分解过程养分释放的影响. 生态学报, 31, 1547–1557.] Crossref
[32] Veldman JW, Mostacedoa B, Peña-Claros M, Putz FE (2009). Selective logging and fire as drivers of alien grass invasion in a Bolivian tropical dry forest. Forest Ecology and Management, 258, 1643–1649. Crossref
[33] Viña A, Bearer S, Zhang HM, Ouyang ZY, Liu JG (2008). Evaluating MODIS data for mapping wildlife habitat distribution. Remote Sensing of Environment, 112, 2160– 2169. Crossref
[34] Viña A, Tuanmu MN, Xu WH, Yu L, Ouyang ZY, DeFries R, Liu JG (2010). Range-wide analysis of wildlife habitat: implications for conservation. Biological Conservation, 143, 1960–1969. Crossref
[35] Xie YF, Yang WH, Yang Y, Cai XL, Zhou J (2007). Effects of exogenous nitric oxide on photosynthetic characteristic of Indocalamus barbatus under a simulated acid rain stress condition. Acta Ecologica Sinica, 27, 5193–5201. (in Chinese with English abstract) [谢寅峰, 杨万红, 杨阳, 蔡贤雷, 周坚 (2007). 外源一氧化氮对模拟酸雨胁迫下箬竹(Indocalamus barbatus)光合特性的影响. 生态学报, 27, 5193–5201.] Crossref
[36] Xu JQ, Qin HQ (2003). Study on condition factor of north transplanting and introduction of Phyllostachys edulisin. World Bamboo and Rattan, 1(2), 27–31. (in Chinese with English abstract) [徐家琦, 秦海清 (2003). 毛竹北移和引种栽培制约因素研究. 世界竹藤通讯, 1(2), 27–31.] Crossref
[37] Yen TM, Ji YJ, Lee JS (2010). Estimating biomass production and carbon storage for a fast-growing makino bamboo (Phyllostachys makinoi) plant based on the diameter distribution model. Forest Ecology and Management, 260, 339–344. Crossref
[38] Zhang L, Liu SR, Sun PS, Wang TL (2011). Predicting the potential distribution of Phyllostachys edulis with DOMAIN and NeuralEnsembles Models. Scientia Silvae Sinicae, 47(7), 20–26. (in Chinese with English abstract) [张雷, 刘世荣, 孙鹏森, 王同立 (2011). 基于DOMAIN和NeuralEnsembles模型预测中国毛竹潜在分布. 林业科学, 47(7), 20–26.] Crossref
[39] Zhu QA, Jiang H, Liu JX, Fang XQ, Yu SQ (2010). Simulation and trend analysis of soil temperature in China from 1955 to 2006 using IBIS model. Scientia Geographica Sinica, 30, 355–362. (in Chinese with English abstract) [朱求安, 江洪, 刘金勋, 方秀琴, 余树全 (2010). 基于IBIS模型的1955~2006年中国土壤温度模拟及时空演变分析. 地理科学, 30, 355–362.] Crossref
[40] Zhuang MH, Li YC, Li Y, Guo ZW, Yang QP, Gu DX, Chen SL (2011). Physiological responses of three dwarf ornamental bamboos to the elevated atmospheric ozone concentration. Acta Botanica Boreali-Occidentalia Sinica, 31, 2014–2020. (in Chinese with English abstract) [庄明浩, 李迎春, 李应, 郭子武, 杨清平, 顾大形, 陈双林 (2011). 3种地被类观赏竹对大气臭氧浓度倍增的生理响应. 西北植物学报, 31, 2014–2020.] Crossref
No related articles found!
Full text



[1] Hu Shi-yi. Lipoid Bodies in Plant Tissues[J]. Chin Bull Bot, 1994, 11(04): 49 -51 .
[2] CHENG Hong-Yan. Introduction of State Key Laboratory of Biomembrane and Membrane Biotechnology[J]. Chin Bull Bot, 1998, 15(04): 78 .
[3] Liu Dong-zhuo and Li Lan. The Karyotype Analysis of Solanum pseudocapsicum[J]. Chin Bull Bot, 1992, 9(03): 50 .
[4] WANG Bao-Shan;LI De-Quan;ZHAO Shi-Jie;MENG Qing-Wei and ZOU Qi. Effects of Iso-osmotic NaCl and KCl Stress on Growth and Gas Exchange of Sorghum Seedlings[J]. Chin Bull Bot, 1999, 16(04): 449 -453 .
[5] LI Yao-Dong WEI Yu-Ning XU Ben-Mei. Study on the ABA Content and SOD Activity in Ancient Lotus and Modern Lotus Seeds[J]. Chin Bull Bot, 2000, 17(05): 439 -442 .
[6] LI Zhong-Kui HU Hong-Jun LI Ye-Guang. Advances in Molecular Phylogenetic Relationship of Volvocales[J]. Chin Bull Bot, 2002, 19(04): 419 -424 .
[7] WANG Ting SU Ying-Juan ZHU Jian-Ming HUANG Chao LI Xue-Yan. PCR_RFLP Analysis of rbc L Genes in Taxaceae and Related Taxa[J]. Chin Bull Bot, 2001, 18(06): 714 -721 .
[8] . [J]. Chin Bull Bot, 1994, 11(专辑): 51 .
[9] Dong Shu-ting, Hu Chang-hao, Yue Shou-song, Wang Qun-ying, Gao Rong-qi, Pan Zi-long. The Characteristics of Canopy Photosynthesis of Summer Corn (Zea mays) and its Relation with Canopy Structure and Ecological Conditions[J]. Chin J Plan Ecolo, 1992, 16(4): 372 -378 .