Science shutdown

As the United States enters the 10th day of its government shutdown, the impacts on science and scientific researchers are becoming very apparent. Ignoring the political mess, the fact is that the shutdown is having devastating effects for science, ranging from small to very large scales.

Some of the largest obvious effects relate to the cessation of highly necessary services. For example, the majority of employees the Centers for Disease Control and Prevention were furloughed. Days later experts on foodborne illness were called back to work, because, surprise, they are essential in cases of E. coli outbreaks. Similarly, nearly all of the Environmental Protection Agency’s employees were furloughed, which means that air and water quality monitoring is furloughed too. According to one employee: "No one is going to be out inspecting water discharges, or wet lands. Nobody is going to be out inspecting waste water treatment plants, drinking water treatment plants, or landfills – nothing". Most of the employees whose work relates to climate science research and related environmental controls at the EPA, NASA, and the National Oceanic and Atmospheric Administration (NOAA) are also no longer at work.

Non-government scientists of every form are also being affected in multiple ways. The overwhelming issue is that the National Science Foundation (NSF) and National Institute of Health (NIH), have been all but closed. (For a great illustration, flip through the messages currently on US gov't science webpages, here). Technically, these furloughed employees are prohibited from replying to phone calls or answering emails from their work email. From one furlough letter: “Due to legal requirements, working in any way during a period of furlough is grounds for disciplinary action, up to and including termination of employment”. If your supervisor or collaborator is a federal scientist, this is a very direct impact of the furlough. But more generally and most importantly, these agencies (particularly the NSF for EEB academics) is the primary funding source for many scientists and institutes, and that means that until the shutdown is over, there will be no new payments or grants awarded.

(From nsf.gov/outage.html, regarding new awards)

"Proposal Preparation & Submission
No new funding opportunities (program descriptions, announcements or solicitations) will be issued.
FastLane proposal preparation and submission will be unavailable."
(existing awards)

"Performance of Work
Awardees may continue performance under their NSF awards during the shutdown, to the extent funds are available, and the term of the grant or cooperative agreement has not expired. Any expenses must be allowable and in accordance with the Office of Management and Budget (OMB) cost circulars. During the shutdown, NSF cannot authorize costs exceeding available award amounts or obligate additional funds to cover such costs.
Payments
No payments will be made during the shutdown."

If your grant is up for review or you are applying for a new grant (it was DDIGs season), then you are out of luck for the moment (FastLane, necessary for submitting grants, is not available), and there undoubtedly will be delays in processing once the shutdown does end.


Even if you have money to spend, limitations may arise from the fact that permits for research activities can’t be filled, and National Parks, National Wildlife Reserves, National Forests are all closed, so planned field activities may be limited. For example, Long-term Ecological Reseach projects (LTERs), which by definition require continuity in sampling, some projects are now inaccessible. Researchers in charge of long-term studies of rodent populations in Sevilleta National Wildlife Refuge, New Mexico, found the gates locked and the combinations changed, making monitoring stations impossible to reach. If you were planning a field season in Antarctica, you are especially out of luck, since the field season has been cancelled altogether. If you planned to use the collections at a national museum (e.g. the Smithsonian), or use government websites and federally funded data repositories, you can’t. I’ve received several mass emails from researchers attempting to locate other sources of necessary data, since their government source is gone. Even if you aren’t a researcher in the US, you might notice the effect of the shutdown because the high profile open-access journal from the Public Library of Science, PLOS ONE, is also at a standstill. And if the keynote speaker at your conference is a US government employee, you’ll notice their absence, since they are not allowed to attend conferences. 

Given the global nature of science, these effects are not isolated to only just a single country in the world – scientists everywhere share US websites and institutions, museum collections, collaborate with US-located researchers, government or otherwise, do fieldwork in US national parks, or rely on the continuity of data from long-term research projects. The impacts of this shutdown are broad and deep, and the most important question is how long will it take for science and scientists to recover?


*If anyone has examples of how this shutdown is affecting their research, please leave a comment!

Why greater diversity – even of parasites – might decrease infections

Pieter T. J. Johnson, Daniel L. Preston, Jason T. Hoverman, and Bryan E. LaFonte. 2013. Host and parasite diversity jointly control disease risk in complex communities. PNAS. Early view.

(Host competence - the tendency of host species to become infected and maintain infection.)

There is often a disconnect between the reality that communities and ecosystems are diverse assemblages with numerous, often complicated and variable interactions, and ecological research, which (perhaps necessarily) focuses on interactions between at most two or three species at a time. Disease ecology similarly has often considered interactions between particular host/parasite species pairs. Some researchers have considered the diversity of host species as an important factor in explaining disease transmission and mortality, but the reality is that parasites also interact, and most hosts harbour multiple parasites. Studying disease dynamics in the context of multi-parasite, multi-host interactions is increasingly recognized as key to understanding disease transmission and severity in communities.

With this in mind, a new paper from Pieter Johnson and colleagues attempts to combine research into the effects of both parasite and host diversity on disease. Two possible hypotheses predict the effect of diversity on disease transmission: the ‘dilution effect’ suggests that the presence of multiple hosts should decrease transmission risk, if the result of additional species is a decline in community competence. It is also hypothesized, somewhat contradictorily, that increased host diversity should support a greater variety of parasites, and parasite life cycles. Both these hypotheses take a host-centric view: understanding how changes in host diversity alter disease risk also requires that we understand how changes in parasite diversity affect disease transmission.

Mutations caused by Ribeiroia infection.
From:http://www.nature.com/scitable/knowledge/library/ecological-consequences-of-parasitism-13255694

The authors looked at the contribution of host and parasite diversity to parasite transmission success using field data and laboratory experiments. First, they looked at existing data on infections of the pathogenic trematode Ribeiroia ondatrae, in amphibian species. Observations showed a positive correlation between larval trematode diversity (parasites) and the richness of free-living species (hosts). Of course the two diversities might be correlated for many unrelated reasons, like site isolation, evolutionary history, or habitat productivity. But a closer analysis showed what appeared to be an interaction between Ribeiroia infection in Pseudacris regilla (Pacific tree frog, the most common amphibian in the survey) and the total number of amphibian species at a site (figure below). Infection by Ribeiroia was highest when there was low amphibian richness and low parasite richness. It dropped significantly lower when amphibian richness was high and/or parasite richness was high.

From Johnson et al. 2013 PNAS. Results of field observations.

In addition to these observations, the authors manipulated both parasite and host species richness, first in small laboratory microcosms and then in larger and more realistic outdoor mesocosms. Results from the laboratory microcosms showed that increases in both amphibian richness (one vs. three species) and parasite richness (one vs. five species) reduced the average number of Ribeiroia in Pseudacris regilla as well as the total infection rate in the amphibian community. The mesocosms had similar results, with both host and parasite diversity negatively influencing Ribeiroia infection. In support of the generality of these results, effect sizes were comparable between the two experiments. These effects were also quite large: for example, in the mesocosm high-host, high-parasite richness treatment there were 52.4% fewer Ribeiroia per P. regilla and 38.2% fewer Ribeiroia overall compared to the low-host, low-parasite richness. Clearly multi-species interactions are crucial for understanding infection by Ribeiroia.

From Johnson et al. 2013 PNAS. Results of the microcosm and mesocosm experiments,
 showing the effects of host and parasite diversity on transmission.

The results make it clear that if you want to understand disease transmission in communities, both host and parasite diversity should be considered. To some extent, both of the initial hypotheses were supported – host and parasite diversity were correlated in the wild, but (in agreement with the dilution effect) infection rates declined as host diversity increased. One factor missing from these hypotheses is the dynamics of the parasite community: in the paper, the authors found models of transmission that included both host and parasite richness were superior. Further, past and future studies that consider only host richness may be inadvertently accounting for the effects of parasite richness on transmission as well, if those two host and parasite diversities are correlated.

There are a number of possibilities for why both host and parasite communities alter parasite transmission success. If host diversity changes the susceptibility of the community to infection (i.e. as diversity increases, the number of low competence/susceptible species increases) then low-competence hosts could act as sinks for parasite infections. Increases in parasite diversity could result in inter-parasite competition and interactions via host immunity.

One future step will be to move beyond simple measurements of species richness to understanding how species identity or characteristics are tied to the putative mechanisms. For example, how do communities of host species vary from low to high diversity sites? Do sites in fact tend to assemble with increasing numbers of low competence host species? The implications are also of interest to other types of studies of community ecology – after all, host-parasite interactions are not very different from predator-prey interactions, and similarly, despite knowing that interactions are complex and involve multiple species, we tend to focus on two or three species examples.

The demise of peer review?

Scientists are often inundated with numerous requests to submit their papers to 'open access' journals with no track record, no editor-in-chief, and dubious sounding promises. Why this explosion in dubious journals? -simple, there is money to be made. Many of these journals are scams meant to maximize profits. As it turns out, they don't even bother with peer review. In a recent, fascinating story in Science, John Bohannon sent fatally flawed bogus articles to hundreds of open access journals, with more than half being accepted with little or no peer review. This article is a must read for anyone concerned about science publishing.

Struggling (and sometimes cheating) to catch up

Scientific research is maturing in a number of developing nations, which are trying to join North American and European nations as recognized centres of research. As recent stories show, the pressure to fulfill this vision--and to publish in English-language, international journals--has led to some large-scale schemes to commit academic fraud, in addition to cases of run-of-the-mill academic dishonesty.

In China, a widely-discussed incident involved criminals with a sideline in the production of fake journal articles, and even fake versions of existing medical journals in which authors could buy slots for their articles. China has been criticized for widespread academic problems for some time, for example, 2010 the New York Times published a report suggesting academic fraud (plagiarism, falsification or fabrication) was rampant in China and would hold the country back in its goal to become an important scientific contributor. In the other recent incident, four Brazilian medical journals were caught “citation stacking”, where each journal cited the other three excessively, thus avoiding notice for obvious journal self-citation, while still increasing their journal’s impact factor. These four journals were among 14 having their impact factors suspended for a year, with other possible incidences that were flagged but could not be proven involved Italian, a Chinese, and a Swiss journal.

There are some important facts that might provide context to these outbreaks of cheating. Both Brazil and China are nations where to be a successful scientist in the national system, you need to prove that you are capable of success on the world stage. This is probably a tall order in countries where scientific research has not traditionally had an international profile and most researchers do not speak English as their first language. In particular it leads to focus on values which are comparable across the globe, such as journal impact factors, as measures of success. In China, there is great pressure to publish in journals included on the Science Citation Index (SCI), a list of leading international journals. When researcher, department, and university success is quantified with impact factors and SCI publications, it becomes a numbers game, a GDP of research. Further, bonuses for publications in high caliber journals can double a poorly-paid researcher’s salary: a 2004 survey found that for nearly half of Chinese researchers, performance based pay was 50+ percent of their income. In Brazil, the government similarly emphasizes publications in Western journals as evidence of researcher quality.

It’s easy to dismiss these problems as specific to China or Brazil, and there are some aspects of the issue that are naturally country-specific. On the other hand, if you peruse Ivan Oransky’s Retraction Watch website, you’ll notice that academic dishonesty leading to article retraction is hardly restricted to researchers from developing countries. At the moment, the leading four countries in retractions due to fraud are the US, Germany, Japan, and then China, suggesting that Western science isn’t free from guilt. But in developing nations the conditions are ripe to produce fraud. Nationalistic ambition is funnelled into pressure on national scientists to succeed on the international stage; disproportionate focus on metrics of international success; high monetary rewards to otherwise poorly paid individuals for achieving these measures of success; combined with the reality that it is particularly difficult for researchers who were educated in a less competitive scientific system and who may lack English language skills, to publish in top journals. The benefits of success for these researchers are large, but the obstacles preventing their success are also huge. Combine that with a measure of success (impact factor, h-index) that is open to being gamed, and essentially relies on honesty and shared scientific principles, and it is not surprising that system fails.

Medical research was at the heart of both of these scandals, probably because the stakes (money, prestige) are high. Fortunately (or not) for ecology and evolutionary biology, the financial incentives for fraud are rather smaller, and thus organized academic fraud is probably less common. But the ingredients that seem to lead to these issues – national pressures to succeed on the world stage and difficulty in obtaining such success; combined with reliance on susceptible metrics  – would threaten any field of science. And issues of language and culture are so rarely considered by English-language science (eg.), that it can be difficult for scientists from smaller countries to integrate into global academia. There are really two ways for the scientific community to respond to these issues of fraud and dishonesty – either treat these nations as second-class scientific citizens and assume their research may be unreliable, or else be available and willing to play an active role in their development. There are a number of ways the latter could happen. For example, some reputable national journals invite submissions from established international researchers to improve the visibility of their journals. In some nations (Portugal, Iceland, Czech Republic, etc), international scientists review funding proposals, so that an unbiased and external voice on the quality of work is provided. Indeed, the most hopeful fact is that top students from many developing nations attend graduate school in Europe and North America, and then return home with the knowledge and connections they gained. Obviously this is not a total solution, but we need to recognize fraud as problem affecting and interacting with all of academia, rather than solely an issue of a few problem nations.

Can common tradeoffs predict your supervisor’s functional type?

With Lanna Jin

If you’re a graduate student, the most important question (even more important than who you’re writing your paper with) is who is running your lab. New graduate students everywhere are settling in and getting to know their supervisors are little better. Supervisors come in all types, and hypothesizing a priori what their style is can be difficult. Fortunately, a couple of common tradeoffs underlie most functional styles...

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1)

The invisible man/woman: The ultimate laissez-faire approach. You have the freedom to choose the ideas and projects that interest you, and the responsibility to make them work. Freedom can be replaced by frustrations when you need a signature, some support, or a manuscript commented on.

El generalissimo: "Here's my idea, now go do it." These labs are usually run in a top-down manner. Day to day operations are fairly hands off though, giving you room to work through those problems on your own. El generalissimo will reward their supporters well for good work.

The coach: The coach provides you the best of both worlds: enough rope to explore your ideas, but not so much to hang yourself. They are available for troubleshooting and brainstorming, but you ultimately have responsibility for your project. But if you rely on them to much, it's going to be hard to function without them.

The micromanager: These supervisors expect regular presence, frequent meetings, records of progress, and milestones to be met promptly. If you like working from home, leaving early or starting late, or need lots of freedom to be most productive it could be a poor fit. For students who thrive on structure and prefer set goals though, this might be an ideal environment.

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2)

The skeleton: This supervisor has established themselves in their career and been active for some time, but now other interests consume them. The scientific meat that made their name seems to be gone, and all that's left is the skeleton of their earlier career. They are happy to chat with you about the many things they are interested in, but supervising your science doesn't seem to be a priority. They often see you as a person who has with non-academic interests and responsibilities, which can be a nice feeling.

The superwoman/superman: This career superstar has made their name, possibly quite early, and they are passionate about their science. This can make for an exciting and successful lab experience, as new ideas and opportunities are always on the horizon. But since they have so many demands on their time, sometimes their capes (and they) are feeling a bit ragged.

The silverback: Labs of influential individuals can be an amazing opportunity for a graduate student. Silverback experiences might be quite variable, depending on how involved they are in day to day lab activities, their travel schedules, and the size of the lab. When they are available, they have a lot to teach a student about making a successful academic career.

Bad idea: This corner of the tradeoff (low interest in science, poor establishment in the career) probably doesn't exist in tenure-track faculty. If you do manage to find such a person, run away.

The unknown: A motivated but still unestablished supervisor is a blank slate. Their early career state means that they might have time and energy to devote to you and be especially motivated to see you and the lab succeed. On the other hand, they may not yet know how to manage people and their supervisor style could morph into anything - the coach, the micromanager, el generalissimo. A bit of a gamble.

Can intraspecific differences lead to ecosystem differences?

Sara Lindsay Jackrel and J. Timothy Wootton. 2013. Local adaptation of stream communities to intraspecific variation in a terrestrial ecosystem subsidy. Ecology. Online early.

It’s funny how complex outcomes can arise from simple realizations. For example, it is plausible that when there are differences among individuals of a species (like when local populations are adapted to the local environment), these could implications for function on the ecosystem scale. But while there is increasing evidence for the importance of intraspecific variation for ecological interactions within communities, the question of how intraspecific diversity scales up to ecosystem functioning is still ambiguous.

Sara Jackrel and Timothy Wootton explore this question in “Local adaptation of stream communities to intraspecific variation in a terrestrial ecosystem subsidy”. The basis for their study was simple: local adaptation is common, and populations/genotypes/ecotypes tend to be best adapted to the particular conditions of their locale. For example, “spatial variation in prey and predators can lead to a geographic mosaic of co-evolutionary interactions”. Further, these localized interactions can affect the greater ecosystem, if individuals or materials move between ecosystem boundaries.

In particular, the authors note that there is evidence that tree species composition riverside can alter the composition of the local aquatic community. This occurs via leaf litter fluxes into the river: the type and amount of leaf litter that falls into streams varies, and so the type of macroinvertebrates in the recipient stream also varies in response. These macroinvertebrates break down the leaf litter via shredding, collecting, and filtering, playing an important role in nutrient cycles. Leaf litter is carried from a given tree by wind or water and may decompose near or far away, creating a connection between ecosystems. The question then is whether macroinvertebrate compositional shifts will occur in response to intraspecific differences in leaf (i.e. trees), and what the implications might be for ecosystem functions such as leaf decomposition. To explore this question, Jackrel and Wootton performed reciprocal transplants of leaf litter material between eight sites along rivers in the Olympic Peninsula of Washington.

All eight of these sites were early successional forests dominated by red alder. The authors collected fresh leaves from alder trees, bagging leaves from each tree separately. These bags of leaves were either placed in the river adjacent to the trees they were taken from, or in a more distant site. Non-adjacent sites were either in the same river as the home site, or in different river all together. Leaf packs were weighed before and after spending 17-18 days in the river. This would allow comparison of how decomposition rates vary between home and away sites, and between home and away rivers.

Their results suggested a few interesting things. First, the identity of a tree affects the rate of decomposition of its leaves: individual alder trees’ leaves were highly variable in the rate of decomposition. Second, the combined identities of trees at a site seem to have affected the composition of the decomposer community at the home river site: put leaves from that site in another river with a new community of decomposers, and the decomposition rate drops significantly. In general, leaves decomposed significantly more rapidly when in their home river, regardless of whether at the home site or elsewhere along the river. But if they put leaves upstream from the home site, but in the same river, the rate of decomposition also dropped. Upstream decomposer communities were apparently much worse at breaking down leaves from novel communities of alders. However, if you put the leaves in sites downstream from home, the decomposition rates are not significantly different than in the home site. This is likely because of the directional movement of a river, such that downstream locations receive leaf litter from all upstream sites, and so downstream decomposer communities experience a greater variety of leaf litter than upstream sites. This might lead to upstream sites being more closely adapted to the individual trees in their neighbourhood than downstream sites, which receive inputs from a wide variety of trees. These results suggest that individual differences in trees at different spatial locations can matter, both locally, across trophic levels, and even across ecosystems.

Admittedly there is not a lot you can infer about the mechanisms at play from this preliminary experiment. One interesting follow up would be to measure compositional differences in aquatic macroinvertebrates at very fine scales in correspondence with differences in trees. Another important question is whether these communities differ via phenotypic plasticity, adaptation to local sites, or species sorting. But this paper does hint at one way in differences among individuals can shape local ecosystems and even structure distant ecosystems (e.g. downstream decomposer communities) through fluxes across boundaries. And that is a rather complicated implication from a logical and simple starting point.

Research in dangerous times

Research is full of disasters. Some are small – there’s nothing on the gel; someone published it first. Others are larger – ATVers just crushed the plants you were monitoring; you lost your lab notebook. But there are also real disasters – floods, fires, hurricanes, tornadoes, earthquakes.

The university where I am a postdoc, University of Colorado at Boulder, suffered through a 100-year flood this week. Though the university dealt with less water than many other parts of Boulder County, one-quarter of campus buildings have flood damage of some sort, there were power outages and the campus was closed and fairly inaccessible for several days. It sounds like my building got through okay – little to no water got in other than some roof leaks, and the power didn’t even go out. The water crept up into the parking lot, but never made it the rest of the way. But given the extent of the damage, undoubtably some other CU labs weren’t so fortunate. (And many people in Boulder County were not lucky at all).

What this experience reminded me of were the stories I had heard about university laboratories in New Orleans after Hurricane Katrina. The floodwaters there destroyed laboratories, took out research computers and servers, and killed 8000+ research animals in populations at Louisiana State University and Tulane University. This probably represents the loss of years of work and millions of dollars of funding. Data kept on damaged servers were gone. Research is generally so reliant on things we take for granted – like a reliable power source to maintain environmental conditions, and safe locations for irreplaceable data. When campuses are closed down, it may be impossible to reach laboratory populations of species that rely on regular care; routine measurements that may have been occurring for months or more are often disrupted; all the samples stored in a -80°C freezer might thaw out. And these are not uncommon outcomes when disasters hit universities. After Hurricane Sandy, criticisms were levelled at NYU for housing research animal populations in a basement, despite the potential for flooding. As a result, flooding killed thousands of mice, including strains representing a decade of research on forebrain development.

The personal impacts of these kind of losses are the saddest. The loss of months or years of data or experiments can be the nail in the coffin for grad students, who are reliant on time-limited funding as it is. A large enough setback may be the difference between finishing and dropping out for many students. Researchers, especially without tenure, face setbacks that could range between demoralizing and debilitating.

Like it or not, most predictions suggest disasters are going to be more common in the future. Often research labs rely on the disaster preparedness plans of the institution, and don't have specific plans for an individual lab. Every group (individual labs, departments, colleges, the institution as a whole) to some extent should consider disaster management plans. For most ecology labs, the considerations would not even be too onerous – consider how to maintain power to equipment that must remain on (e.g. freezers, experimental gear); ensure data is backed up in more than one physical location; if water damage is a possibility, be careful what you keep in the basement lab. Also, be sure to have contact information (including phone numbers) for all lab members - it's surprising how many labs neglect this - this way you can coordinate and ensure labmates and students are safe. Sometimes, no matter how prepared you are, loss and damage will be unavoidable. But hopefully, you are lucky and all of these preparations will be for nothing.

When enemies catch up – declining invasive impacts in hogweed?

Dostál P., Müllerová J., Pyšek P., Pergl J. & Klinerová T. (2013). The impact of an invasive plant changes over time. Ecology Letters, Early View.

Invasive species are a major ecological issue in this age of global connectivity. Many ecosystems are unrecognizable today after invasion, and invasive species have considerable impacts on agriculture, tourism, aquaculture, forestry, and native biodiversity. Some invasive species have been present in novel environments for decades or centuries, but many are more recent introductions. What we are still trying to understand is whether invasive species impacts are constant through time. Do ecosystems and communities adapt to invasive species, and how do they do so? Some examples of how the impacts of invasions can decline through time exist: for example,  the efficacy of allelopathic chemicals produced by garlic mustard (e.g. Alliaria petiolata) may lessen as native species adapt. Another hypothesis is that specialized pathogens or herbivores, absent at the start of the invasion, will increase with time, reducing populations of invasive species and allowing the recovery of native species.

Do specialized pathogens
find escaped species eventually?

If specialist enemies eventually catch up with invaders, this could reduce invasion impacts eventually, but long-term empirical data showing this type of effect is almost nonexistent. Dostal et al. (2013) provide some of the first  strong evidence that specialist pathogens catch up with and reduce the impact of giant hogweed (Heracleum mantegazzianum), a species from the Caucasus now found throughout Europe and North America. Hogweed invades successfully for a number of reasons, including its ability to form large, dense stands that reduce light availability, as well as through the production of allelopathic chemicals.

Giant hogweed was first introduced to the Czech Republic as an ornamental in 1863, but became invasive when grassland management ceased during WWII. The authors took advantage of aerial photographs taken since 1964 to locate hogweed presence. They identified a chronosequence of sites invaded for at least 48 years, 42 years, 28 years, 11 years or never (hogweed-free sites). These sites were on average 1.3km apart, and shared similar management history and environmental conditions. The authors then surveyed the sites, recording current hogweed percent cover, native biomass, and native species richness.

The researchers also collected soil samples from these sites. These samples were used in a common garden experiment to test whether soil pathogens that affected hogweed success might differ between the sites with different ages of invasion. Soil from the sites with different ages of invasion history was either sterilized to kill living pathogens, or left unsterilized. To these different types of soil (sterilized or not, 0, 11, 28, 42, or 48 years of invasion), they planted 1) 1 hogweed seedling, 2) a mix of native species seed, or 3) 1 hogweed seedling and the mix of native species together. They then looked at how well the hogweed seedlings survived.

Results from the observational data showing changes in native productivity and richness,
and hogweed cover as a function of time since initial invasion. (Dostal et al. 2013)

Hogweed showed decreases in biomass as the length
 of invasion history in the soil increased, but
 only if the soil was not sterilized. (Dostal et al. 2013) 

Hogweed, as expected, had very negative effects on the native species in these sites: on average, hogweed invasion decreased native species richness by ~10 species, and similarly decreased native biomass. These two sets of experiments however, showed clearly that as hogweed invasion age increased, hogweed cover declined. Further, native species richness and biomass increased once invasions were more than 28 years old. The common garden experiment suggested that this might be due to hogweed-specific soil pathogen accumulation through time. Non-sterilized soil from sites with longer histories of invasion had a significantly more negative effect on hogweed biomass than the sterilized soil. This suggests that living components of the soil -presumably pathogens - differed between soils with different invasion histories. Directly quantifying or identifying soil pathogens would be the obvious and important next stage.

Dostal et al. (2013) suggest that for these sites in the Czech Republic, hogweed dieback due to increased specialist pathogen load will prove key for native species recovery. They make it clear that this is not the same as advocating for a lack of response to the invasion. Ignoring established sites is providing a source for seed for new sites, puts rare native species at risk, and may leave management concerns such as declining ecosystem functions untouched. The other issue is that density dependent, stabilizing processes like increases in specialist pathogens, may lead to boom and bust cycles – initial rapid invasion might be followed by declining invasive populations as specialist enemies increase, but declining invasive populations would lead to declines in specialist enemies, and increased invasive pressures could start anew. Such a situation wouldn’t lead to a general decline in invasive species, but rather a new (non-equilibrium) state for the community.

The evolution of evolution, LEGO in the lab and other Science-y links

My week is coming to an early end as I head off to some friends' wedding tomorrow, so in lieu of another post, here are some interesting science links from around the internet this week :)

This infographic explores how thinking about evolution has changed since Darwin. It shows pretty clearly the circuitous path that science takes, the way ideas converge and diverge, and ultimately become more nuanced and complicated.

A theoretical physicist blogger answers the question "should you write a science blog?". She mentions the basic, but undeniably key points - do you have time? do you really have time? do you like writing? I also like her advice: "don't be afraid of your readers".

Mental illness can be exacerbated or first show up during grad school. Even in liberal academia, talking about mental health issues can be a bit taboo, something that doesn't help anyone. A blog post from Nash Turley considers the issues and implications.

Another serious issue, related to issues of gender in science: an article in the Economist presents evidence that women authors tend to be less cited than male authors, and this was in part due to less self-citation by women.

Also, LEGO now has its first female scientist character, and with her short hair, goggles, lab coat and gloves, she's a great lab safety role model too ;)

Of course, LEGO has many other science-related applications :)

Edit - the link about blogging was initially incorrect, should be correct now.

Studying Frankenstein: what can we learn from novel ecosystems?

There's been some discussion going around ecolog about an article telling the ecological story of Ascension Island. I should note that the original article is not a great example of science writing; it tries to create conflict that doesn’t exist and lacks a reasonable understanding of ecological theory. There are a couple linked chapters/publications about Ascension Island that make better additions to the story though (1, 2).

Ascension Island is one of those tiny islands first visited by Europeans in the 1600s. Like many young, small, isolated islands (1200 mi to the next nearest island), it was highly depauperate (~25-30 species of plants). Like many such islands, once humans became regular visitors, new species began to make their to way Ascension. The Brits and their love of cultivating and homogenizing particularly altered the island, and they systematically introduced species calculated to provide ecosystem services, aesthetic value, and food.

As a result, Ascension Island changed strikingly – once an island with lowland deserts and a rocky, barren mountainside, the mountain is today known as Green Mountain. The originally depauperate mountain is now lush with three different vegetation zones, a large variety of plants including “banana, ginger, juniper, raspberry, coffee, ferns, fig trees, Cape Yews, and Norfolk Island pines”, and a complex cloud forest. The original article presents this as some inexplicable outcome, but frankly it seems in keeping with existing ecological ideas. Under island biogeography, if you decrease the distance from an island to the mainland (including via human-aided dispersal), diversity should increase. Given the massive number of species that were introduced, and the coddling they received to aid their establishment, heightened diversity is hardly a surprise. And though the original article suggests that shared evolutionary history is necessary for complex ecosystems, coevolution is hardly a requirement for a functioning ecosystem to develop. Species may be able to coexist despite lacking a shared history--niches may not be filled as tightly as in a long-established, coevolved community, but invasive species research in general should have taught us that novel species combinations can easily occur. Secondly, many of the introduced species on the island are from the same part of the world and likely do share evolutionary history.

The mountain before and after. From Catling & Stroud.

from Hobbs et al. 2006

I hadn't given much thought before to the concept of “novel ecosystems” and it has received little attention from the ecological literature (excepting the odd papers, and much more attention from a conservation and management angle). Ascension is a particularly striking example of how human modification leads to ecosystems which are entirely different from anything that has ever been present on the planet. Novel ecosystems have been defined in a number of ways. Generally, they are synthetic ecosystems that include conditions and combinations of organisms never before in existence, and do not depend on human maintenance to persist (as agriculture fields would). Novel ecosystems may be considered to be the outcome of abandonment of human managed systems or else the degradation of existing systems through human activities and invasion (figure). Of course there are incredibly few ecosystems that aren’t affected in some way by human activities (especially in this age of intentional and unintentional human-mediated species introductions), but it is the truly unique ones that are particularly interesting.

There are at least two ways to approach novel ecosystems. One approach is parallel with invasive species and conservation research, and in fact these research areas overlap a fair amount. This is the way in which most research on novel ecosystems seems to be framed. Novel ecosystems carry many of the same issues about making value judgments as invasive species research, and issues of management and whether novel ecosystems can or should be returned to their original state dominate. For example, the conflict between maintaining alpha (island) and gamma (global) diversity exists on Ascension Island– modern, invaded Ascension Island provides greater diversity and ecosystem functioning (erosion control, food, temperature moderation, habitat) than the original barren landscape. But the original endemic species, not surprisingly, have gone extinct or are increasingly at risk.

But focusing solely on these difficult value-laden questions seems to have been at the cost of exploring the value of novel ecosystems as a study system. The most interesting examples of novel ecosystems are not simply modified or invaded ecosystems, but ecosystems that truly never existed before. Like post-shale dump landscapes in Scotland, where the refuse from mining is now host to unique grasslands that act as refugia for locally rare species; or the San Francisco Bay, which now is utterly unrecognizable compared to historical descriptions due to heavy invasion; or urban ecosystems with their unique habitats and issues; or even the habitat and connectivity created by stone fences which now occur on most continents. The questions here aren't always about invasion and management, but instead focus on what the new community looks like. How do novel communities assemble, what processes dominate (mass effects, environmental filtering, competition, predation, etc, etc)? How does ecosystem function relate to the community that assembles? Most BEF research after all, is focused on more traditional ecosystems. What leads to stability in a novel ecosystem, or are they stable at all? They can function is an example of highly unfortunate but also highly informative ‘natural’ experiments for ecologists. But at the moment, if you search for "novel ecosystems" on Google Scholar, the title words are "management", "conservation", "restoration" or "invasion". Actually, there probably are ecologists doing work on novel ecosystems from a purely ecological perspective, but this work gets grouped with  disturbance, invasion, and urban ecology: it just remains to consider them in a more unified fashion. If the conversation remains focused only on the conservation issues (as the discussion on ecolog seemed to shift to rapidly), it just seems like we're limiting ourselves a little.