Given that everyone in the same group has the same Methods and Results, the main thing we are practicing is the Introduction and Discussion. Consequently, I would like to offer you the opportunity to write an increasingly common format for scientific papers. Many of the top scientific journals use this format now. It is entitled ‘short scientific communication’. Here is an example of the instructions from the journal Nature. In the journal Science, they are termed ‘brief communications’. I love them. The primary objective is to highlight novelty, critical thinking, research gaps, opportunities, or challenges to existing research. We can consider writing up these experiments using this format.
Format for a ‘short scientific communication’
Context. Similar to an Introduction but more shorter and more direct. State the research topic, explain the main purpose of the field of research, state the gaps, then state your hypothesis and predictions that fill this gap. One paragraph only.
Discoveries. Similar to your results. State what you found. A total of 1-2 figures. One paragraph only.
Implications. Link what you found to the research of this specific topic. State whether hypothesis explained the system and if predictions were supported. Propose a really important implication of the work and suggest a future direction.
Literature Cited is 10-12 papers.
Literature Cited: 5
Effectively writing: 5
Methods: Just send me one copy for your entire group of exactly what you did. Even just typed up super clear notes, point form, so that I know.
It is not the da vinci but solid.
Research paper is due Monday Sept 26th at 5pm value is 40%
(a) Independent submissions BUT Methods and Results (including figures) can be the same. Introduction, abstract, and Discussion must be individual.
(b) Structure is as follows:
Title page: Title, author list listing all authors but with your name first, your email address.
Abstract: No more than 300 words total, and use single spacing. State the purpose, what you found, and identify at least one major of implication of this research.
Introduction: Two short paragraphs only. Paragraph 1. Introduce big picture of invasion, grasslands, and then your target taxa. Paragraph 2. Topic sentence, state hypothesis and predictions, then one sentence suggesting why the research is important.
Methods: Three paragraphs. Paragraph 1. Field site description. Paragraph 2. Sampling designs. Paragraph 3. Stats you did and link to your dataset online.
Results: Two paragraphs. Paragraph 1. State main findings. Paragraph 2. Were any covariates important?
Discussion: Two paragraphs. Paragraph 1. Restate hypothesis and state whether it was supported by the evidence you collected to test the predictions. Paragraph 2. Interpret the main finding and suggest implications (i.e. why someone should care what you found).
Figures: Likely two total. Main findings and perhaps one interesting covariate or side-pattern you found.
Literature Cited: At least 10 references to scientific papers on the topic (that you also cite in the main body of your paper).
Methods & Results/10
Once you submit your papers individually, I suggest you share your papers with each other, pick the best bits, then submit the final, single paper to PeerJ listing all authors and state that each contributed equally.
A good day for coding.
Dataset with meta-data published on figshare.com or knb.ecoinformatics.org Friday September 2nd by 230pm. Value 10%
1. Back up/copy ALL data to the 2TB external HD in classroom. This includes the following data: (i) main data frames as .csv, (ii) covariate data, (iii) working data with ALL data including the nested/pseudo-replicates, and (iv) all videos and imagery captured.
2. Back up/copy the (i) main data frame and (ii) covariate data to the ‘dataset’ folder I set up on our class google drive. Do NOT back up images or videos (no room).
3. I will mark ONLY the final dataframe with meta-data published on figshare or knb. However, I will need to see the working dataframes and covariate data frames too please to ensure accuracy.
TO submit: ONE file per group, email me the link to the main dataframe on figshare or knb.
Data: Are the data correctly translated from the working data frame (i.e. is the mean of 6 or 8 cams correct, did the number of plant species from working plant samples translate across)? /5
Meta-data: Is the sampling well described and the column headings explained? The basic question is ‘can someone else not familiar with what you did understand and use the data’? /5
Tags: Are the tags, title for dataset, and subject area all correct? See other blog post on tags. Ensure you list ALL members of your group as co-authors.
I need one email from each group with a link to the final data frame published online.
I will then check the google folder for the supporting data files and ensure it all connects correctly.
Open science makes YOU look good. It is also critical that scientists share what they produce and collect.
Best experimental design products – get them online! I enjoyed them all.
Figures, tables, and infographics : publish on figshare
Single slides, slide decks, and infographics: slideshare
Ten simple rules and papers: PeerJ preprints
Datasets on figshare or knb (if you have diversity data)
All these sites have the products online for anyone to find in the world.
Always use tags and identify the subject area.
Tags for experimental design:
Lortie (so I can find them)
ecodreamers (why not)
Kenneth S. Norris Rancho Marino Reserve
Tags for your datasets that are collecting this week:
Kenneth S. Norris Rancho Marino Reserve
Fiscalini Ranch Preserve
then whatever your group was: plants, vertebrate animals, invertebrates
Get credit for ALL the work you did during this course and also list the link to these products on your resume and CVs!
a. experimental design summary
c. the paper on PeerJ (one ‘compiled’ paper with all papers AFTER you write your individual ones).
This is three awesome scientific outcomes you deserve recognition for.
Please send me the link to them once you publish, and I will share for you too.
everybody loves Cali!
Oh Harding, what have you done!
We will find out Friday once we crunch the numbers.
Frank will be our driver again Saturday. He will be here at 545am to load and be ready to depart at 6am.
Excellent discussions last night. Here is the list of final meetings before the course completion on Saturday.
[still cranking at 1015pm]
-Start by writing down an observation that interests you.
-Ask a few questions about your observation.
-A hypothesis should include an attempt to provide a mechanism that explains the phenomenon you observe.
– 2-3 predictions for each hypothesis is a good goal.
-Predictions are more of a simple statement than anything else. If there is more than 1 sentence in your prediction, make sure the additional sentences are absolutely necessary.
You guys are awesome. Good luck!
Variables, be not so.
all lower case.
final, aggregated templates
note: you will need working files to get to this point too. still use common variable names.
olympic data collection begins.
the healthiest field course ever.
Everyone got 18/20 for the actual designs. EXCELLENT work in brainstorming and working so hard on datasheets, workflows, and structure of experiments.
The remaining 10 points was for H & P. It is a challenge to do these. Practice. The point of the field course.
Percent out of 30 points.
All groups got >80%. Eli and I will discuss in person to facilitate further before the final paper.
tidy data help.
Here is the review of a super useful data science book.
A review of ‘R for Data Science’ book @hadleywickham #rstats #openscience
Here is the link to the summary analyses including r-code.
All dimensions of measure worked equally well.
No real differences between type of summary were evident (but did not have sufficient replication of alternatives to ten simple rules).
A reading to follow up on your day today!
Recommendation from Don.
Camila Castanho is an expert on dune ecology and interactions. Here is a nice synthesis paper on dune interaction research to date.
Estelle Forey is the dune ecologist expert from France. Here is a spatial analysis of dune research and another on disturbance.
Greetings Field Biologists!
I hope you’re amazing adventures on the central coast have been a great learning experience thus far. My name is Eli Swanson and I’m a Ph.D candidate up at Oregon State University. I’ll be helping you get your research surveys and questions set up next week and am really looking forward to it! I’ll be joining you on your ranch tour Saturday with Don and we can start to talk about your research ideas then. We’ll be using the following research protocol as a framework for your own investigations. Give it a brief look and we’ll talk about it in detail Monday morning. SamplingProtocolBiology3001
On Tuesday evening I’ll also be talking with you about some of the broader topics related to natural resource management and ecological disturbance and succession. As you are learning this week and seeing all these fantastic places on the central coast that attract ecotourists, be thinking about how all these great natural resources are managed, the environmental impacts from people and what ecological processes are important to consider in these coastal areas where social, economic and ecological pillars are so tied together. In prep for Tuesday, please read the following essay (its an easy and fun read) by Aldo Leopold. Whether you pursue a career in an ecological field or not, the tenets discussed in this paper are fundamental and useful to know. Leopold Conservation Ethic
Enjoy and see you soon!
Research and teaching should be aligned. I applied the field notebooks workflow to this experimental design product. You will make key observations on the experimental design readings and use your notebook as a mechanism to explore structured thinking. I will then make key observations on the heuristic you provide, ask questions, and turn this into data (i.e. your grades are the data as a mechanism to describe/estimate how effectively your internalized best experimental design principles for ecology).
Likert scale from 1 to 5 (1 is low and 5 is awesome) to answer each question.
Score of 1 to 5 each, total is then 20% for assignment.
(1) Did you provide sufficient evidence you processed the readings?
(2) Is the heuristic you provided useful in designing experiments for ecology?
(3) Is the product (flowchart, table, decision tree, ten simple rules, etc) clear and direct?
(4) Is the case study example with hypothesis and predictions precise and linked to design?
The data structure from asking these questions is thus the marking key and then a spreadsheet with name, and a column for each question with a score of 1-5.
First assignment: Critical analysis essay of research papers (Week 1). 20%
To be able to cogently summarize effective experimental design.
Internalize best practices from reading about experimental design before we practice it next week. The goal is to get as much as you can from the learning of other people on how to best design experiments.
Products you can generate worth 20%
Summary of reading with a focus on critical thinking – mini-essay 2 pages long describing what was proposed in papers but including your critical analysis of limitations of solutions.
Flowchart of best experimental design principles (ensure you show and cite the papers you read)
Table of challenges and solutions proposed in the papers (cite the papers and describe table very briefly)
Decision tree (show how you decide what level of sample unit to work on, handle design, or make best possible decisions).
Ten simple rules for best experiment design in ecology.
Here is the one I wrote for fun about rapid talk formats:
I have been wanting to write one for experimental design too, so go for it if you want. Ensure you each have your own rules, at least some at least.
Here is the ten simple rules for simple rules. haha. http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003858
In all instances, provide a short paragraph made-up example/case-study to show what you developed/criticized worked. In doing this, list your hypothesis, predictions, and then the design.
Nice example of a visual experimental design from a notebook.
The field notebook is a critical tool in many subdomains of ecology. Here are three elements that I have found really useful for synthesis, discovery, and recovery of ideas from experiences outside.
Here is a nice example of ten simple rules for similar notebooks: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004385
short hike through grasslands with different geomorphology and different management practices.
We did jump into the ocean again at the end of hike – not warm.
kept us company on walk.
Carpinteria to Cambria (South-Central Coast to beginning of Big Sur Coastline).
This particular offering is going to be a really exceptional year. We have met more local people and organized more time on the water and more time exploring. Everything you need to know is in the tabs above. Dig in and see you soon.
Note: Home for the week, camping, is at the University of California Rancho Marino Reserve. All key contact information to provide to your friends and family back home including phone numbers are on the website. Bathrooms, electricity, wifi, and a classroom are available at the field station. However, bring a tent for sleeping.