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Practical Methods in Ecology
There are few books available that provide a good introduction to the methods and techniques for ecological research. This book will be invaluable to lecturers teaching field courses and students undertaking project work in ecology. Each chapter will focus on an ecological technique. It will have an introductory section that describes the ecological principles and theory. This will then be followed by example applications. These will focus on three most common habitats where teachers take students for fieldwork; the seashore, ponds and lakes, fields and woodland.
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First published February 12, 2003
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February 26, 2026
As a disclaimer to everyone reading this: I am not a zoology student. I'm not even a college student anymore, and when I was, it was for technology; I'm simply an animal and zoology enthusiast. When I read, it's for pleasure, so I did not read this to go with a class. Hence, when I rate it, it's for my personal tracking of what I felt about this book, not how this book is as a textbook or educational supplement. The few reviews of this that I find online all seem to be pretty positive when it comes to its use as a textbook; I have no reason to doubt that. So... if you're going to use this book for school or something, don't look for any help from my "experience" here. Anyways... let's talk about what this book covers.
*Practical Methods in Ecology* is all about different factors of zoological or botanical field studies, particularly those where you're trying to calculate the population of an organism in a given region. It starts by looking at all the prepwork you can and should do before performing a field study. You need to understand the scope of what you're studying and the effect of time of day and season of the year on what you're studying; you have to define your habitat (whether it's a single bush or a whole forest); you must understand that there are different ways to estimate populations (there are absolute estimates and relative estimates and such); and you have to understand that there will be errors in your calculations; it's impossible to avoid them. All these things and more play a role in setting up your study. Up until this point, there's not very much math involved, but the next chapter - "Estimating the reliability of estimates and testing for significance" - decides to fix that by looking at different equations/formulas which help determine how different sites are ranked by abundance. Compared to later chapters it's actually relatively light on the math and explains how box plots factor in the 10th and 90th percentiles of populations and the like. A chapter on sampling units of habitats covers different methods to determine populations numbers - rinky-dink frame quadrants, point samplers, different contraptions to dig in the dirt and allow you to take a small sample of soil and all of its contents (there are at least ten methods here) - which is pretty interesting.
We leave the realm of the physical for more calculations after that. A chapter on mark-recapture studies covers how formulas have to change between open/closed populations (and how some species with inequal chances of getting caught don't gel with this method), we learn about distance sampling (counting animals flushed out by disturbances, how plant abundance can be determined by how close they are to each other, etc), and then there's an aside on factors which make trapping a little dicey for absolute population values. I liked the notes on using signs of habitation (damaged plants, insect feces, mammal/bird burrows, etc) to create population indices. The chapter on estimating age + growth was engaging too; in some species, tables of individual size can be directly correlated with age (like some fish), but that doesn't work with, say, mammals (instead you can try to estimate off lines of cementum in teeth). There are also different equations of various effectiveness to calculate growth curves. Life-tables (which summarize age-related population data and how many animals are still alive at which ages) and life-budgets (really only applicable to shorter-lived species) were new to me. Methods of sampling areas to species (mostly plant) diversity were cool, but all the formulas around it were losing me. So was the difference between alpha and beta species diversity. The last chapter was on comparing and classifying communities which was fine (it looked at different ways to group sites together based on the kind of information there) and then to book ended. It might seem abrupt to a reader used to more... commercial things, but this is practically a textbook, so... it was in and out.
I was hoping that this book would dig into the statistical side of zoology a little more fundamentally than it did. I wanted to read about the different programs and ways that people use "R" and other things that always crop up in the zoology papers that I read (I read them during some of my lunch breaks; I might not be a professional but I'm still a bit of a nerd). Instead, this was more formula-based than statistical-concept based. That's not a bad thing, and I'm sure some of my issues getting into said formulas would've been soothed by having an instructor go through these things with, but I'm just doin' this on my own, so it wasn't a great fit for me. That being said, it did introduce a lot of things to me, and I could see myself picking it back up off my shelf to review the different physical sampling tools it went through and to cross-reference different theories by name; maybe with a little time and more experience reading through zoology books I'll take this off the shelf to cross-reference things and really feel like I'm learning stuff here.
One thing that I do wish this book had more of was practical examples; when there were real-world examples that tied into formulas, like looking at purple orchid counts in different quadrants when trying to review rank sum equations, it made a lot more sense than points where there were three formulas in a row without that engaging context. Now, I understand that Henderson couldn't have an example for everything; it would've added at least fifty pages to this book to go into the depth I would've liked. But then again, if I'd have had someone working along with me, it would've been okay; like I implied at the start, this isn't going to be great objective critique, just me kind of fumbling through what I did with the book and why that was either right or wrong.
Anyways, I'll get this over for both of us and give this book a 7/10 on my usual scale; I enjoyed the book and would like to read further into this world, but I think this will be a good starting point for a lot of people seriously looking to get into the field. I might learn to appreciate this book a bit more as more time passes and I find my way cross-referencing it with other random stuff that I read, but... we'll see if that happens. Thanks for reading this admittedly oddball review, and here's hoping our paths cross through another book that's a bit more... suited for this kind of review. Anyways, have a great rest of your day, and we'll be seeing you around...
*Practical Methods in Ecology* is all about different factors of zoological or botanical field studies, particularly those where you're trying to calculate the population of an organism in a given region. It starts by looking at all the prepwork you can and should do before performing a field study. You need to understand the scope of what you're studying and the effect of time of day and season of the year on what you're studying; you have to define your habitat (whether it's a single bush or a whole forest); you must understand that there are different ways to estimate populations (there are absolute estimates and relative estimates and such); and you have to understand that there will be errors in your calculations; it's impossible to avoid them. All these things and more play a role in setting up your study. Up until this point, there's not very much math involved, but the next chapter - "Estimating the reliability of estimates and testing for significance" - decides to fix that by looking at different equations/formulas which help determine how different sites are ranked by abundance. Compared to later chapters it's actually relatively light on the math and explains how box plots factor in the 10th and 90th percentiles of populations and the like. A chapter on sampling units of habitats covers different methods to determine populations numbers - rinky-dink frame quadrants, point samplers, different contraptions to dig in the dirt and allow you to take a small sample of soil and all of its contents (there are at least ten methods here) - which is pretty interesting.
We leave the realm of the physical for more calculations after that. A chapter on mark-recapture studies covers how formulas have to change between open/closed populations (and how some species with inequal chances of getting caught don't gel with this method), we learn about distance sampling (counting animals flushed out by disturbances, how plant abundance can be determined by how close they are to each other, etc), and then there's an aside on factors which make trapping a little dicey for absolute population values. I liked the notes on using signs of habitation (damaged plants, insect feces, mammal/bird burrows, etc) to create population indices. The chapter on estimating age + growth was engaging too; in some species, tables of individual size can be directly correlated with age (like some fish), but that doesn't work with, say, mammals (instead you can try to estimate off lines of cementum in teeth). There are also different equations of various effectiveness to calculate growth curves. Life-tables (which summarize age-related population data and how many animals are still alive at which ages) and life-budgets (really only applicable to shorter-lived species) were new to me. Methods of sampling areas to species (mostly plant) diversity were cool, but all the formulas around it were losing me. So was the difference between alpha and beta species diversity. The last chapter was on comparing and classifying communities which was fine (it looked at different ways to group sites together based on the kind of information there) and then to book ended. It might seem abrupt to a reader used to more... commercial things, but this is practically a textbook, so... it was in and out.
I was hoping that this book would dig into the statistical side of zoology a little more fundamentally than it did. I wanted to read about the different programs and ways that people use "R" and other things that always crop up in the zoology papers that I read (I read them during some of my lunch breaks; I might not be a professional but I'm still a bit of a nerd). Instead, this was more formula-based than statistical-concept based. That's not a bad thing, and I'm sure some of my issues getting into said formulas would've been soothed by having an instructor go through these things with, but I'm just doin' this on my own, so it wasn't a great fit for me. That being said, it did introduce a lot of things to me, and I could see myself picking it back up off my shelf to review the different physical sampling tools it went through and to cross-reference different theories by name; maybe with a little time and more experience reading through zoology books I'll take this off the shelf to cross-reference things and really feel like I'm learning stuff here.
One thing that I do wish this book had more of was practical examples; when there were real-world examples that tied into formulas, like looking at purple orchid counts in different quadrants when trying to review rank sum equations, it made a lot more sense than points where there were three formulas in a row without that engaging context. Now, I understand that Henderson couldn't have an example for everything; it would've added at least fifty pages to this book to go into the depth I would've liked. But then again, if I'd have had someone working along with me, it would've been okay; like I implied at the start, this isn't going to be great objective critique, just me kind of fumbling through what I did with the book and why that was either right or wrong.
Anyways, I'll get this over for both of us and give this book a 7/10 on my usual scale; I enjoyed the book and would like to read further into this world, but I think this will be a good starting point for a lot of people seriously looking to get into the field. I might learn to appreciate this book a bit more as more time passes and I find my way cross-referencing it with other random stuff that I read, but... we'll see if that happens. Thanks for reading this admittedly oddball review, and here's hoping our paths cross through another book that's a bit more... suited for this kind of review. Anyways, have a great rest of your day, and we'll be seeing you around...
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