Tools and Techniques in Plant Ecology-A Review

Journal of Environmental and Agricultural Sciences (JEAS). Ehsan et al., 2016. Volume 7: 29-34

Open Access – Short Review

Tools and Techniques in Plant Ecology-A Review
Nusrat Ehsan 1’*, Sehrish Sadia 1’*, Jin-Tun Zhang 1, Arshad Ali Sheayi 2, Akash Tariq 3,4, Ke Cao 1
¹ College of Life Sciences, Beijing Normal University, Beijing-100875, China
² Institute of Geographic sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
³ Department of Botany, Kohat University of Science and Technology, Kohat-26000, Pakistan
4 Center for Ecological Studies, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan, China


Abstract: To solve ecological interference problems, ecologists are using a combination of ecological strategies and tools and are also in search of new methods. Direct gradient analysis, ordination methods, principle components analysis, cluster analysis, TWINSPAN, discriminant analysis, reciprocal averaging, canonical correspondence analysis and detrended correspondence analysis were and are most commonly used tools and techniques in plant ecology. Advanced marker techniques, ecological footprint, Laser scanning, Dirichlet allocation model and ecological engineering are advanced methods in plant ecology. Dirichlet allocation model is non parametric method for multivariate analysis. Algorithmic model can be used as an alternative to traditional regression models. Still there is need to carry out a lot of research with the recently developed techniques to improve their efficiency, reliability and validity. Articles aimed to describe methodology play a crucial role in the advancement of applied ecology.

Keywords: Biodiversity, Ecological tools, Quantitative ecology, Softwares, Ecosystem

*Corresponding author: Sehrish Sadia: sehrish@mail.bnu.edu.cn


Cite this article as Sadia, S., J.T. Zhang, A.A. Sheayi, A. Tariq and K. Cao. 2016. Tools and techniques in plant ecology: A review. Journal of Environmental & Agricultural Sciences. 7: 35-41.[Abstract] [View FullText] [Citations].

Title: Tools and Techniques in Plant Ecology-A review

Authors: Sehrish Sadia, Jin-Tun Zhang, Arshad Ali Sheayi, Akash Tariq and Ke Cao

Pages: 35-41

 


Copyright © Sadia et al., 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original author and source are appropriately cited and credited.


References

Agrawal, A. and K. Gopal. 2013. Application of diversity index in measurement of species diversity. In: Biomonitoring of Water and Waste Water, DOI 10.1007/978-81-322-0864-8_4,#Springer India.  41.

Anderson, M. J. 2001. A new method for non- parametric multivariate analysis of variance. Austral. Ecol. 26: 32- 46.

Agarwal, M., N. Shrivastava and H. Padh. 2008. Advances in molecular marker techniques and their applications in plant sciences. Plant Cell Rep. 27: 617-631.

Braak, C. J. F. and P. F. M. Verdonschot. 1995. Cannonical correspondence analysis and related multivariate methods in aquatic ecology. Aquatic Sci. 57(3): 255- 289.

Bruelheide H. 1997. Using formal logic to classify vegetation. Folia Geobot. Phytotax., 32: 41- 46.

Bruelheide H. 2000. A new measure of fidelity and its application to defining species groups. J. Veg. Sci., 11: 167 178.

Begossi, A. 1995. Cultural and ecological reience among caicaras of the Atlantic forest coast and cabocloa of the Amazon (Brazil). In Linking ecological and social system for reliance, C. Folke and F. Berkes, eds. Cambridge university press.

Begossi, A. 1996. Use of ecological methods in ethnobotany: Diversity indices. Economic Bot. 50(3): 280- 289.

Brian S. E., S. Landau and M. Leese. 2001. Cluster Analysis (Fourth ed.). London: Arnold. ISBN 0-340-76119-9.

Chahouki, M.A.Z. 2012. Classification and ordination methods as a tool for analyzing of plant communities. In: Multivariate analysis in management, engineering and the sciences. Pp. 221-252.

Everitt, B. C., S. Landau and M. Leese. 2001. Cluster analysis. Fourth edition. London: Arnold. 256 p.

Gullo, F. and A. Tagarelli. 2012. Uncertain centroid based partitional clustering of uncertain data. Proceedings of the VLDB Endowment. 5(7): 610(621).

Hammer, O. 2011. Ecological cluster analysis with past. Natural history museum, University of Oslo. Availabl: http://folk.uio.no/ohammer/past/index.html.

Hill, M.O. 1973. Reciprocal averaging: An eigenvector method of ordination. J. Ecol. 61(1):237-249.

Hill, M. O. 1979. TWINSPAN: a FORTRAN program for arranging multivariate data in an ordered two-way table by classification of the individuals and attributes. Ecology and Systematics, Cornell University, Ithaca, New York.

Hill, M. O. and H. G. Gauch. 1980. Detrended correspondence analysis, an improved ordination technique. Vegetatio. 42:47-58.

Hotelling, H.1933.Analysis of a complex of statistical variables into principal components. J. Educ. Psych. 24:417-441,498-520.

Hufford, K. M. and S. J. Mazer. Plant ecotypes: genetic differentiation in the age of ecological restoration. Trends Ecol Evol. 18(3): 147- 154.

Huston, M. A. 1994. Biological diversity: The coexistence of species on changing landscapes. Cambridge university press, Cambridge, UK.

Jolliffe, I.T. 2002.Principle component analysis in Statistical theory and methods. 2nd edition. 488 p.

Kooch, Y., H. Jalilvand, M. A. Bahmanyar and M. R. Pormajidian. 2008. Application of two way indicator species analysis in low land plant types classification. Pakistan J. Biol. Sci. 11: 752-757.

Kitzes, J., A. Peller, S. Goldfinger and M. Wackarnagel. 2007. Current methods for calculating national ecological footprint accounts. Science for environment and sustainable society. 4(1): 1-8.

Leps, J. and P. Smilauer. 1999. Multivariate anlaysis of ecological data. University of South Bohemia, Ceske Budejovice.

Lee, B., and M.D. Cam. 1993. Comparing three classification strategies for use in ecology. J. vegetation Sci. 4: 341-348.

McCune, B. and M.J. Mefford. 1999. PC-ORD. Multivariate Analysis of Ecological Data, Version 4.0. MjM Software Design, Gleneden Beach, Oregon. 237 pp.

Morton, A. 2005. DMAP for Windows. Version 7.0. – Alan Morton, Winkfield, Windsor, Berkshire. Computer program. http://www.dmap.co.uk/welcome.htm.

Murtagh, F., and P. Legendre. 2014. Wards hierarchical agglomerative clustering method: which algorithms implement Ward’s criterion. J. classification. 31: 274-295.

Oppel, S., C. Strobl and F. Huettmaun. 2009. Alternative method to quantify variable importance in ecology. Technical Report No. 65, Department of statistics, University of Munich, LMU.

Odum, H. T and B. Odum. 2003. Concepts and methods of ecological engineering. Ecol.Eng. 20(5): 339- 361.

Palmar website. 2016. Ordination methods for ecologists http://ordination. Okstate. Edu.

Pearson. 1901.  On lines and planes consis fit to system of points in space. Philosophical Magazine, 6th Series 2:559-572.

Ponton, S. and M. Disney. 2014. Non destructive estimates of above ground biomass using terrestrial laser scanning. http://methodsblog.wordpress.com/

Rencher, A.C. 2002. Methods of multivariate analysis. Second Edirion. A John Wiley and Sons , INC. Publication, Canada.

Schnabel A, Beerli P, A. Estoup. 1998. A guide to software packages for data analysis in molecular ecology. In: Carvalho G, editor. Advances in Molecular Ecology. Amsterdam: IOS Press; 1998. pp. 291–303.

Stuetzle, W. and R. Nugent. 2010. A generalized single linkage method for estimating the cluster tree of a density. J. Comput. Graph. Stat. 19(2):397–418.

ter Braak C. J. F. and P. Smilauer. 2002. CANOCO reference manual and CanoDraw for Windows. User’s guide: software for canonical community ordination (version 4.5). Microcomputer Power, Ithaca, New York.

Lubomir, T. and H. Jason. 2006. JUICE: program for management analysis and classification of ecological data. Vegetation science group. Masarik University BRNO.

Ulanowicz, R. E. 2004. Quantitative methods for ecological network analysis. Comp. Biol. Chem.28: 321-339.

Valle, D., B. Baiser, C. W.Woodall and R. Chazdon. 2014. Decomposing biodiversity data using the latent dirichlocation model, a probabilistic multivariate statistical method. Ecol. Letters. 17: 1591- 1601

Whittaker, R.H. 1967. Gradient analysis of vegetation. Biol. Rev. 49:  207-264.

Williams, R. K. 1983. Some observations on the use of discriminant analysis in ecology. Ecol. 64(5): 1283-1291

Zhu, X. and J. T. Zhang. 2009. Quartered neighbor method- A new distance method for density estimation. Front. Biol. China 4(4): 574- 578.

 

.


Join Journal of Environmental and Agricultural Sciences (JEAS)

Interested to join the JEAS Team

Join JEAS as a member Editorial Board see Editors’ Responsibilities

Join JEAS as a member Review Panel  Reviewers’ Responsibilities

(send your CV through email at editor.jeas@outlook.com)


JEAS Indexing Journal of Environmental EAS is indexed by reputed indexing services.

Suggest Indexing service/s through email (editor.jeas@outlook.com)


Call for Articles
Submit Your research for publication in the “Journal of Environmental and Agricultural Sciences (JEAS)” through email: editor.jeas@outlook.com


JEAS Recently Published and Highly Cited Articles
Citation record of JEAS: JEAS Google Scholar page
Follow  JEAS Facebook

Leave a Reply

Your email address will not be published. Required fields are marked *