•Publications gouvernementales  The Birds of Quebec and Eastern North America - Peterson Guide
by Roger Tory Peterson, 2004, Broquet

• This identification guide is perfect for beginners in ornithology. Its arrows indicating characteristic traits of each species permit rapid and easy identification. Updated distribution charts show the range of each species, including nesting and wintering areas. A book that belongs in the hands of all beginners and those of experienced field ornithologists. (SB)

•Wikipedia Book Source  Atlas des oiseaux nicheurs du Québec
by Jean Gauthier and Yves Aubry, 1995, Montreal: The Quebec Association of Ornithology Groups.

• This work is the culmination of thousands of field observations, and brings together more than 5000 references. It will give you precise information on the biology and ecology of species which you are likely to find in Quebec. (SB)

•Amazon 
•ULaval  Mycorrhizal symbiosis
by S.E. Smith and D.J. Read, 1997, 2nd edition, Academic Press, New York, NY

• This work provides an exhaustive review of various mycorrhizal types, their structures, their development, their physiology and their ecology. It covers the transport of nutrients, the role of mycorrhizas in ecology and their applications in the environment and their interactions with pollutants. One should also note the evolutionary aspects of the mycorrhizal synthesis. This book is one of the most cited in the field and must be consulted by those who are interested in mycorrhizas. (AG)

Les meilleures astuces, en couleurs, pour Microsoft® Access 2003
by Hervé Inisan, 2005, Micro Application, 148 pages, ISBN:2-7429-6373-1

• This book offers numerous tips, some better than the others, to further one's ability to use Microsoft Access 2003. After having toured through the tricks and short-cuts for planning and organization of the data, the work shows many easy ways to structure and use tables, to construct requests and forms, to calculate and automate states, to carry out the first steps in programming, to work in group... A work that should not be missed if you wish to improve your facility with Microsoft Access 2003. (DL)

•Wikipedia Book Source 
•Amazon 
•ULaval  Getting to Know ArcGIS Desktop: The Basics of ArcView, ArcEditor, and ArcInfo Updated for ArcGIS 9
by Robert Burke, Eileen Napoleon, Tim Ormsby, 2005, ESRI Press, 588 pages

• One of the best books to start with ArcGIS. While the best documentation of ArcGIS is obviously that which accompanies the software, this book offers another point of view and is very well organised. It is an excellent complement for those who have experienced difficulty with on-line help in ArcGIS or those who prefer a paper copy. Take care to get the most recent edition of this document.(PR)

Univariate Analysis and Normality Test Using SAS, STATA, and SPSS 

• This document summarizes graphical and numerical methods for univariate analysis and normality test, and illustrates how to test normality using SAS 9.1, STATA 9.2 SE, and SPSS 14.0. (SB)

Biostatistical Analysis
by Jerrold H. Zar, 1998, 4th edition, Prentice Hall

• This book is a good starting point for those who want to become more familiar with basic statistical methods. Beyond the basics, Zar covers a broad range of conventional analyses, such as t-tests, one- and two-factor ANOVAs, complete randomised blocks, linear and multiple regression, and contingency tables, as well as some less conventional methods, such as analysis of directional data. This book is strongly recommended for biologists, as it contains numerous examples of basic analyses which illustrate the application of various methods. (MM)

•ULaval  Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
by K.P. Burnham, and D.R. Anderson, 2002, 2nd edition, Springer, 488 pages

• In science, one tries to explain natural phenomena as effectively as possible (one wants a good model), but also as simply as possible (one does not want too variables in the model). It is precisely the kind of problem that most of us face when performing analyses in ecology (e.g., multiple regression): which variable must we include or exclude from the model? Burnham and Anderson discuss several interesting aspects that relate to the formulation of assumptions and to the selection of models, particularly using Akaike's information criterion (AIC). Moreover, they present a multi-model approach whenever several plausible models can explain the data. This book is strongly recommended for those involved with modelling, and particularly for researchers working with capture-mark-recapture models. (MM)

•ULaval  Randomization, Bootstrap and Monte Carlo Methods in Biology
by B.F.J. Manly, 1997, 2nd edition, Chapman and Hall, New York, 399 pages

• This second edition of Professor Manly's book is a good introduction to the techniques of resampling, with many examples from biology. One finds chapters that introduce the reader to randomisation tests, the bootstrap, the jacknife, as well as Monte Carlo simulation. These techniques are then used in the context of regression as well as the analysis of distance matrices, time series, spatial data, and multivariate analyses. It is a good resource for people considering resampling approaches and who wish to know their strengths and weaknesses.(MM)

•Amazon  Using multivariate statistics
by Barbara Tabachnick and Linda S. Fidell, 2006, 5th edition, 1008 pages

• A book that clearly explains multivariate analysis and which provides the programs necessary to conduct the analysis of your data in SAS, SPSS and SYSTAT. Canonical analyses will seem much clearer to you after reading this book! (SB)

Data Analysis in Community and Landscape Ecology
Edited by R.H.G. Jongman, C.J.F. ter Braak, and O.F.R. van Tongeren, 1995, Cambridge University Press, 299 pages

• This book provides a good introduction to multivariate analyses. The first part of the book deals with regression (linear, logistic, Poisson), which then leads the reader to the techniques of ordination. Among the techniques presented, detailed presentations are made for correspondence analysis (CA), detrended correspondence analysis (DCA), canonical correspondence analysis (CCA), redundancy analysis (RDA), canonical correlation and cluster analysis. Many examples appear throughout the book that are implemented with the programme CANOCO, and which illustrate the interpretation of results with the aid of biplots. (MM)

•ULaval  Introduction to Distance Sampling: Estimating Abundance of Biological Populations
by S.T. Buckland, D.R. Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers, and L. Thomas, 2001, Oxford University Press, New York, 432 pages

• Buckland et al. present techniques appropriate for the analysis of data generated in distance sampling designs. They present two major types of designs. The first consists of point sampling, where distances of individual animals from an initial sample point are recorded. With the second design, data are collected along a transect, where distances of individuals from the transect are recorded. Employing these two methods makes it possible to estimate detection functions (which decreases as individuals move away from the observer), and from these functions, estimate abundances corrected for probability of detection. The book is well written and the authors have provided many examples to the reader that aid in understanding these techniques. This book is recommended to those wanting to estimate animal species abundances along transects or sample points, while accounting for the probability of detection. (MM)

•ULaval  Analysis of Wildlife Radio-tracking Data
by G.C. White and R.A. Garrott, 1990, Academic Press, London, 383 pages

• This book provides a great deal of advice regarding the design as well as the analysis of animal telemetry data necessary for the estimation of home range size, habitat selection, movement and survival. In its pages you will also find various approaches to estimating population size. The manual describing the programme SURVIV, for capture-mark-recapture analyses, can found in the appendix, along with many examples drawn from the text. The book would be a great aid to people wanting to familiarise themselves with telemetric approaches to data collection and subsequent analysis of the data which are generated by these techniques. (MM)

How to write and publish a scientific paper, 6^th edition. by R. A. Day and B. Gastel, 2006, Cambridge University Press.

• Reading this book BEFORE you start writing your first article will save a great deal of time. (Comments sent to MM by H. Asselin)