景观生态学中空间数据的模拟和显示方法概述

应用生态学报 ›› 2001, Vol. ›› Issue (1): 141-144.

景观生态学中空间数据的模拟和显示方法概述

周强¹, 王建武¹, 张润杰²

1. 华南农业大学热带亚热带生态研究所, 广州510642;
2. 中山大学生物防治国家重点实验室, 广州510275

收稿日期:2000-06-16 修回日期:2000-07-24 出版日期:2001-01-25
通讯作者: 王建武
基金资助:
国家“九五”科技攻关项目(96-015-01-06);广东省自然科学基金资助项目(980161)

Simulation and display methods of spatial data in landscape ecology

ZHOU Qiang¹, WANG Jianwu¹, ZHANG Runjie²

1. Institute of Tropical, Subtropical Ecology, South China Agricultural University, Guangzhou 510642;
2. Institute of Entomology & State Key Laboratory for Biocontrol, Zhongshan University, Guangzhou 510275

Received:2000-06-16 Revised:2000-07-24 Online:2001-01-25

摘要/Abstract

摘要： 为了准确描述连续数据在景观中变化的规律,介绍了常用的7种生态学空间数据模拟方法和4种空间数据显示方法的基本原理和方法,以及不同的空间数据取样方法的特点和适用范围,并初步探讨了影响生态学空间数据表达方法的主要因素.

中图分类号:

Q149

周强, 王建武, 张润杰. 景观生态学中空间数据的模拟和显示方法概述[J]. 应用生态学报, 2001, (1): 141-144.

ZHOU Qiang, WANG Jianwu, ZHANG Runjie. Simulation and display methods of spatial data in landscape ecology[J]. Chinese Journal of Applied Ecology, 2001, (1): 141-144.

[1] Agterberg FD. 1982. Recent developments in Geomathematics. Geo Processing, 2:1～32
[2] Burrough PA. 1986. Principles of geographical information systems for land resources assessment. Monographs on Soil, Pesources Survey No.12. Oxford:Oxford University Press.
[3] Burrough PA. 1996. Spatial aspects of ecological data. In:Jongman RHG, ter Braak CJF eds. Data analysis in community, landscape ecology. Cambridge:Cambridge University Press.213
[4] Cliff AD, Orl TK. 1981. Spatial Prosesses Models, Applications.London: Pion Ltd.9～23
[5] Davis J. 1986. Statistics, Data Analysis in Geology. 2nd edition.New York: Wiley.550
[6] Davis PM. 1994. Statistics for describing populations. In:Pedigo LP, Buntin GD eds. Handbook of Sampling Methods for Arthropods in Agriculture. Florida:CRC Press.34～50
[7] Eberhardt LL, Thomas JM. 1991. Designing field environmental studies. Ecol Monogr, 61(1):53～73
[8] Fernando WGD, Paulitz TC, Seaman WL et al. 1997. Head blight gradients caused by Gibberella zeae from area sources of inoculum in wheat field plots. Phytopathol, 87(4):414～442
[9] Gage SH, Wirth TM, Simmons GA. 1991. Predicting regional gypsy moth (Lymantriidae) population trends in an expanding population using pheromone trap catch, spatial analysis. Environ Entomol, 19(2):370～377
[10] Gerhards R, Wyse PDY, Mortensen D et al. 1997. Characterizing spatial stability of weed populations using interpolated maps. Weed Sci,45(1):108～119
[11] Grinsven HJM, Riemsdijk WH, Otjes R et al. 1992. Rates of aluminum dissolution in acid sandy soils observed in column experiments. J Environ Qual, 21(3):439～447
[12] Johnston CA. 1998. Geographic Information System in Ecology. Oxford:Blaekwell Science Ltd. 149～151
[13] Kareiva P. 1994. Space:the final frontier for ecological theory. Ecology,75(1):1～15
[14] Lam NS. 1983. Spatial interpolation methods: a review. The American Cartographer, 10:129～149
[15] Lan Y-Ch (兰运超), Li G-M (利光秘), Yuan Zh (袁征).1991. The Principle of Geography Information System. Guangzhou: Guangdong Province Map Press. 12～13(in Chinese)
[16] Legendre P. 1993. Spatial autocorrelation: Trouble or new paradigm?Ecology,74(6):1659～1673
[17] Liebhold AM, Simons EE, Sior A.1993. Geostatistics, geographic information systems in applied insect ecology. Annu Rev Entomol,38:303～327
[18] Li H-B (李哈滨), Wang Zh-Q (王政权), Wang Q-Ch (王庆成).1998. Theory, methodology of spatial heterogeneity quantification. Chin J Appl Ecol (应用生态学报),9(6):651～657 (in Chinese)
[19] Martinez CA. 1996. Multivariate geostatistical analysis of evapotranspiration, precipitation in mountainous terrain. J Hydrol, 174(1/2):19～35
[20] Mulla DJ. 1997. Geostatistics, remote sensing, precision farming.In: Lake JV, Bock GR eds. Precision Agriculture: Spatial, Temporal Variability of Environmental Quality. London:Wiley. 100～115
[21] Peng W-L (彭望禄). 1991. Remote Sensing, Geography Informa tion System. Beijing:Beijing Normal University Press.1～9 (in Chinese)
[22] Quattrochi DA, Pelletier RE. 1991. Remote sensing for analysis of landscapes:an introduction. In: Turner MG ed. Quantitative Methods in Landscape Ecology. The Analysis, Interpretation of Landscape Heterogeneity. New York:Springer.51～76
[23] Richards JA. 1996. Classifier performance, map accuracy. Remote Sens Environ, 57:161～166
[24] Ripley B. 1981. Spatial Statistics. New York:Wiley. 252
[25] Roberts EA, Ravlin FW, Fleischer ST. 1993. Spatial data representation for integrated pest management programs. Am Entomol, 39:92～107
[26] Robertson GP,Huston MA, Evans FC et al. 1988. Spatial variability in a successional plant community:patterns of nitrogen availability. Ecology, 69(5):1517～1524
[27] Rossi RE, Mulla DJ, Journel AG. 1992. Geostatistical tools for modeling, interpreting ecological spatial dependence. Ecol Monographs, 62(2):277～314
[28] Ronghgarden J, Running SW, Matson PA. 1991. What does remote sensing do for ecology? Ecology, 72(5):1918～1922
[29] Shi G-Sh(石根生),Li D-M(李典谟).1997. Geostatistic analysis of spatial pattern of Dendrolimus punctatus. Chin J Appl Ecol (应用生态学报),8(6):612～616(in Chinese)
[30] Wang Zh-Q(王政权).1999. Geostatistics Applied in Ecology. Beijing:Science Press.109～126(in Chinese)
[31] Weisz R, Fleischer S, Smilowitz Z.1995. Map generation in high-value horticultural integrated pest management: appropriate interpolation methods for site-specific pest management of Colorado potato beetle (Coleoptera: Chrysomelidae). J Econ Entomol, 88(16):1650～1657
[32] Zhou G-F(周国法),Xu R-M(徐汝梅).1998. Research on the Biogeostatistics. Beijing:Science Press.3～5(in Chinese)
[33] Zhou Q, Zhang RJ, Gu DX. 1999. Geostatistical analysis of the spatial dependence of Nilaparvata Lugens population in rice fields. In:Zhang R-J eds. Integrated Pest Management in Rice-based Ecosystem.Guangzhou: Editorial Department of Journal of Zhongshan Univ.272～277(in Chinese)
[34] Zhou Q(周强),Zhang R-J(张润杰),Gu D-X(古德祥).1998. Review of geostatistics in applied insect population spatial structure. Zool Res(动物学研究),19(6):482～488(in Chinese)