As has been pointed out on this blog before, it does matter who we recognize for society awards. And one of the strongest filters on that is who is nominated. Award committees can’t give an award to somebody who isn’t nominated. It does take a little time and effort to nominate somebody, but not a lot (comparable to writing a letter of reference).
The International Biogeography Society gives out awards at its biennial conference. There is an Alfred Russell Wallace award for lifetime achievement and the MacArthur & Wilson award which targets “relatively early career” (<12 years from PhD).
You can find details on the awards and how to nominate somebody at: https://www.biogeography.org/news/news/2019-call-for-awards/
The deadline is November 29th to nominate somebody for the awards given at the next IBS meeting in Vancouver January 2021 (put it on your calendar to attend too!).
So what are you waiting for? Nominate a deserving biogeographer.
The journal Science released an article entitled “Decline of the North American avifauna” by Rosenberg et al today (Sep 19, 2019), and already disaster laden headlines are appearing in major newspapers (I’m not going to bother to link to them because they’ll probably change by tomorrow but I bet you’ve already seen this in your favorite news source).
Aside from the question about what statistical methods are appropriate to use in ecology, there is a mostly independent question about how many statistical methods is optimal for use across the field of ecology. That optimum might be driven by how many techniques we could reasonably expect people to be taught in grad school and to rigorously evaluate during peer review. Beyond that limit, the marginal benefits of a more perfect statistical technique could easily be outweighed by the fact only a very small fraction of the audience could read or critique the method. To the extent we exceed that optimum and are using too many different methods, I think it is fair to talk about statistical Balkanization. Balkanization is of course a reference to the Balkans (the region in the former Yugoslavia) and how the increasing splintering into smaller geographic, linguistic and cultural groups became unsustainable and led to multiple wars. I think there is a pretty clear case that too many statistical methods in use is bad for ecology and thus the label of that state as Balkanization is fair (I’ll make that case below). I am less sure if we are there yet or not.
If you believe the press, scientists are desperate to publish open access. Is this really true? Turning our scientific method onto ourselves and our peers, let’s see what kind of actual data there is. Every 3 years Ithaka SR (a consulting firm for non-profits) publishes a survey of US faculty for attitudes and behaviors that can help university libraries serve their faculty (https://sr.ithaka.org/publications/2018-us-faculty-survey/). The whole survey is well worth a read. There are interesting questions about social media, data storage, attitudes towards books, etc. But I want to home on their Figure 31 which summarizes data about what kind of journals faculty want to publish in.
The single biggest fact about human impact on nature is that it is highly variable. We’re net cutting down forests in the tropics. But we are net increasing forest cover in eastern North America. Farmland birds are in decline in the US and Europe, but that is because farmland – a fairly intense human land use – is decreasing in area in those countries. Eutrophication is harmful to many organisms, but helpful to some. Local biodiversity is trending down in some places but trending up in others. In North America beaver and turkeys, after having been completely eliminated from most of their ranges, have made amazing recoveries trending towards near pre-European levels. Regional diversity, especially in plants, is often increased due to invasive species. Island diversity in birds is often flat or down.
None of those statements contradict the fact that humans are massively changing nature, in many ways for the worse. We have half the tree biomass today compared to what existed pre-human. We appropriate half the fresh water and terrestrial NPP annually. Extinction rates are elevated significantly. We have doubled the rate nitrogen is being introduced to the biosphere. Deer are above pre-European levels in the eastern US with devastating impacts on the structure of forests. Scientists have gotten very good about communicating these negative impacts and maybe have even evolved to a symbiotic relationship with much of the press in communicating this (media loves a disaster whether environmental or human).
But what do we as ecologists do about those facts that can be seen as positive impacts listed in the first paragraph? Continue reading
A few weeks ago, I lamented the passing of papers like Janzen’s Why mountain passes are higher in the tropics (1969) or Janzen’s Herbivore and richness hypothesis (1970) (the Janzen half of Janzen & Connell hypothesis) or the Hairston, Smith & Slobodkin (HSS 1960) paper best known as “why is the world green” even though that is not really the title. These papers were highly speculative, waved a little bit of data around, but mostly put out a hypothesis that attracted researchers for decades. But you don’t really see these kinds of papers any more. Hence my question of whether we should assume this category of paper has come to rest in peace (RIP) (i.e. are dead). Continue reading
If you want to simplify philosophy of science down to the point of gross oversimplification, it has been a millenia long debate between rationalism and empiricism. Although both could be found among the classic Greeks, rationalism was dominate from the time of the Greeks to the Renaissance (almost 2000 years). Rationalism holds that knowledge comes from logical thought. Think Euclid who established the axioms/proofs style of geometry. Or Plato’s cave which emphasized that our senses are crude and misleading (observing mere shadows on the cave wall) in capturing the underlying true essence (the perfect objects outside the cave creating the shadows which we cannot see). Empiricism on the other hand believes that knowledge comes from our sensory experiences of the world outside our mind and mistrusts the mind. Empiricism and rationalism are endpoints of epistemology (the philosophy of how we know things). But they have also been major motivators for scientists framing how to do science.
The President of the Ecological Society of America has written a nice blog post on the ESA website about the changing nature of publishing (and how this influences societies and their finances). The short answer is it has big impacts!
As I wrote a few weeks ago, a potentially new seismic shift is happening due to Plan S which seeks to go for pure Gold OA (100% OA journals) and eliminate hybrid OA, green (post a PDF on your website) OA, and other models like JSTOR and old fashioned subscription based models.
ESA is on top of this change and is seeking your input. Read the whole blog post for lots of good thoughts. But if you are tight for time, I have excerpted their request for input:
We are of course very interested in what our members think about this complex issue! Are you currently limited in your ability to access the literature – especially recent papers – and would you be in favor of a rapid shift to open access for ecological research publications? If you are active in submitting and publishing research papers – do you normally have the financial resources to cover the costs of article processing for fully open access journals? Do you have ideas about how to subsidize or afford the publication of papers in these OA journals from authors who cannot afford the processing charges?
ESA will assuredly be affected by continued evolution of the business model for scientific publishing. In order to understand the impact on our members’ professional lives, and not just on our revenues, it is important that we hear from you. I look forward to reading your thoughts. Email (email@example.com), and use “publications” in the subject line. We will keep our members fully informed as Plan S and related developments move forward.
I recently surveyed our readers on what shape they thought the overall trajectory of ecology took. It was a fun post with a number of good comments. First I set up the question and polled the readers what shape they thought the overall trajectory of progress in ecology took. Then I argued in some detail that it was circular or spiral (and explored what this implied). So its hard to know how many readers truly took the poll before reading my argument, and of course the subset of our readers who chose to answer a poll is clearly not random in a scientific sense.
But here are the results.
We had just over 200 respondents. Of these about 10% answered “other” and described their own trajectory. These are interesting and I’ll mention some in a minute. But of those who went with one of the six choices I provided 37% went for circular or spiral, 35% went for some version of systematically increasing (linear, exponential or saturating) and 28% went for a random walk, so very roughly 1/3, 1/3, 1/3. Of course random walk is interesting because it contains elements of both circularity and a trendline (most random walks look like they contain a trend but also have noise and are likely to return to the beginning at some point). The spiral was far more popular than the circle, although some agreed with me that the vertical gain in the spiral was only methodological, but others felt the vertical gain of a spiral was an important feature.
I thought I would find a strong link between career stage and view of trajectory shape, but I didn’t. There might have been a weak signal of a U-shape (early career and late career being more likely to pick one of the upward trends and middle career – postdoc, early permanent position – more likely to pick a circle or a random walk), but I didn’t see a strong enough effect size to want to pursue it further (read-only link to the data here: https://docs.google.com/spreadsheets/d/12AAXpbEwTbvW9_OmRxeJZwjGZM3eLl5ZlyudwhlnOwk/edit?usp=sharing).
The suggestions under “Other” were also interesting and broadly included 4 categories:
- Variants on a systematic upward trend (e.g. logarithmic, power law with exponent of 3/4 of course, upwards staircase or very uneven steps that aren’t level, sigmoidal, step function, Kuhnian/punctuated equilibrium)
- Complexifications on random walks including multiple random walks, random walk with weak trend, chaotic, chaotic with multiple attractors (several people suggested multiple dimensions are needed)
- Several poetic versions (“More like a crystallisation process in which new nodes form and spread until they butt up against one another”)
- Pessimistic (systematic downwards) such as “downward slope” or “digging a deeper hole into a dark pit”
Probably the most comprehensive answer under “other” was “A combination of gentle progress superimposed with a lot of random noise and occasional bigger and more frequent smaller jumps (and “epicycles” within certain topics as they get rediscovered and renamed)”. It would be hard to disagree with that and that is probably a good place to end!
Open access (OA) publishing* has long been touted as an important reform needed in academic publishing. OA is when an academic journal article is published under an open license like CC-BY or CC-BY-SA** or public domain and is made available to readers without a paywall. The benefits of OA are obvious. Anybody anywhere can read a scientific paper without having to pay or have a subscription. It is hard to disagree that on some fundamental level science publishing should be out in the open like this. And on a practical level researchers without university affiliations and in countries with libraries that cannot afford subscriptions will clearly benefit. And it might solve the problem of journal subscription prices increasing at a rate much faster than inflation and breaking the backs of libraries since subscriptions go away. Despite its benefits, OA is not the world we are in today – the traditional model has been focused on a reader pays (subscription) model. But I have come to think that the forces aligned behind OA have become strong enough to push us part way there. So how do we get from one model to another?
To be clear up front, this is not about whether OA is good or bad, I have my own (of course balanced and nuanced!) opinion*** . But here I just want to stipulate that OA is a viable worthy model. Instead, I want to talk about what the transition from today to full OA will or could look like. This is suddenly very timely given several recent events in ecological publishing: