I am a student and just about to choose a project for my Master's thesis in biology. I want to pursue studies in theoretical ecology in the future. Between field ecology and computational biology (as my two possible choices) what would be the best option to go for? Suggestions are needed as soon as possible .


closed as primarily opinion-based by AliceD, rg255, AMR, MattDMo, kmm Jan 22 '16 at 3:52

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    $\begingroup$ I'm voting to close this question as off-topic $\endgroup$ – rg255 Jan 21 '16 at 17:41

Theoretical ecology

From wikipedia

Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as simple conceptual models, mathematical models, computational simulations, and advanced data analysis. Effective models improve understanding of the natural world by revealing how the dynamics of species populations are often based on fundamental biological conditions and processes. Further, the field aims to unify a diverse range of empirical observations by assuming that common, mechanistic processes generate observable phenomena across species and ecological environments. Based on biologically realistic assumptions, theoretical ecologists are able to uncover novel, non-intuitive insights about natural processes. Theoretical results are often verified by empirical and observational studies, revealing the power of theoretical methods in both predicting and understanding the noisy, diverse biological world.

The field is broad and includes foundations in applied mathematics, computer science, biology, statistical physics, genetics, chemistry, evolution, and conservation biology. Theoretical ecology aims to explain a diverse range of phenomena in the life sciences, such as population growth and dynamics, fisheries, competition, evolutionary theory, epidemiology, animal behavior and group dynamics, food webs, ecosystems, spatial ecology, and the effects of climate change.

Theoretical ecology has further benefited from the advent of fast computing power, allowing the analysis and visualization of large-scale computational simulations of ecological phenomena. Importantly, these modern tools provide quantitative predictions about the effects of human induced environmental change on a diverse variety of ecological phenomena, such as: species invasions, climate change, the effect of fishing and hunting on food network stability, and the global carbon cycle.

Computational Biology

from wikipedia

Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems.1 The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, ecology, evolution, anatomy, neuroscience, and visualization.2

Computational biology is different from biological computation, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is similar to bioinformatics, which is an interdisciplinary science using computers to store and process biological data.

Field Ecology

Ecology can be studied empirically through data analysis, through lab experiments or through field observations and experimentations. Field ecology refers to this last point that is, it refers to empirical ecology in the field.


Potential Misunderstanding

In your post, you seem to suggest that field ecology is a subfield of theoretical ecology. It is not! Either you work as a theoretician or as an empiricist (and then eventually as a field ecologist). Of course many people do both theory and empiric work.

Note that whether you are theoretical or an empiricist working in ecology, you will need to have a good understanding of the theory behind the science of ecology.

Computational biology vs theoretical ecology

In opposition to empirical ecology and field ecology, computational biology and theoretical ecology do not have a hierarchical relationship. If you work in theoretical ecology you can make analytical modelling or numerical (computer) modelling. If you work in computational biology you could analyze data in genetics, you could model cell processes, you could simulate interacting populations in ecology and many other things.

What should you chose?

What skills do you need?

  • Do you like data analysis (statistics and R and python coding)? You will have to analyze your data whatever you chose!

  • Do you like numerical simulations (lots of coding, incl. languages like C++)? If no, then maybe avoid computational ecology!

  • Do you like analytical modelling (lots of math)? If no, then maybe avoid making analytical models in ecology!

  • Do you like messy, complicated, tiring field work? if not, then maybe avoid working as a field ecologist.

What would you imagine to work on?

  • What question would you like an answer to? Think about it and try to understand how you would address the question you are trying to answer.

My advice

  • Do not be afraid of any field, any technics, any programming language, etc... You are good enough and have enough time to learn what you do not know.

  • Do whatever you like most!

  • $\begingroup$ thank you for the answer. I am surely interested in analytical modelling. But at the moment I can only choose between field ecology and computational biology (studying metagenomics) and am in a fix as to what will be the most effective option. $\endgroup$ – BioMat Jan 21 '16 at 18:35
  • $\begingroup$ Oh ok... that phrasing sounds a little different from the original post. It seems that you know what you want (mathematical modelling in ecology) and are wondering what path will be best to reach this point. I would rather recommend computational biology and genomic data analyses as to stay in a field of theory related work. Note, I am a theoretician (using numerical modelling and not so much analytical modelling) and I would not want my preference to affect my answer. Good luck! $\endgroup$ – Remi.b Jan 21 '16 at 19:01
  • $\begingroup$ Thanks again:) It's always great to get advice from experts! $\endgroup$ – BioMat Jan 21 '16 at 20:08
  • $\begingroup$ Feels like too much of a compliment. I am just a PhD student. I work in population genetics, not in ecology (might have been unclear from above). $\endgroup$ – Remi.b Jan 21 '16 at 20:53
  • $\begingroup$ I think knowing some statistics and R is good no matter what you're doing, mainly because scrolling past the statistical inferences in a paper (what's a p-value and a confidence interval? How'd they get those?!) feels bad, and the packages you can get add a lot of utility. Edx has am interesting course track on data analysis for life sciences, PH525, that can be taken for free with no obligations if you want to dive into something relevant and get a feel for some methods. $\endgroup$ – CKM Jan 21 '16 at 22:37

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