Dr. Gliddon: Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland, London Centre for Nanotechnology, University College London,London, United Kingdom What first drew you to your field of research? I was drawn to
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Note: this is the second of a series of posts in which you’ll get a glimpse into the important work that PLOS ONE authors are performing. Today we’re showcasing Yvonne Fondufe-Mittendorf from the department of
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The pygmy blue whale, cousin to the more well-known Antarctic blue whale, has an enigmatic history. Pygmy blue whales dwell in vast expanses of the Indian and southern Pacific oceans, and are a highly mobile species. The species was identified in 1966—although it’s likely to have been confused with its cousin the “true” blue whale prior to 1966—so it’s only in recent years that we’ve been able to catch glimpses of these elusive cetaceans during their migrations to and from breeding and feeding grounds. The researchers of a recent PLOS ONE paper tested out a new method of tracking these whales: satellite telemetry (described below). Using this method, the researchers mapped the migration of pygmy blue whales as they moved from the coast of Australia to the waters of Indonesia. We caught up with author Virginia Andrews-Goff to get some additional details on what it’s like to track these tiny giants.
How did you become interested in pygmy blue whales, and how did you get involved in mapping their migratory movements?
This research was carried out by the Australian Marine Mammal Centre, a national research centre focused on understanding, protecting and conserving whales, dolphins, seals, and dugongs in the Australian region. The work we carry out aims to provide scientific research and advice that underpins Australia’s marine mammal conservation and policy initiatives. We, therefore, have a keen interest in all whales that migrate through Australian waters including pygmy blue, right and humpback whales.
Pygmy blue whales are of particular interest, however, as so little is known in regard to their movements and population status. Large scale movements of whales are particularly hard to study and what we do know about pygmy blue whales we have mainly learnt from examining whaling records. Fortunately, pygmy blue whales were targeted by the whaling industry for only a very short period of time in the late 1950s and early 1960s just prior to the IWC banning the hunting of all blue whales in 1966.
What are the challenges of better understanding whale migration in general?
Large-scale, long-term whale movements are challenging to study as it is impractical to do so by direct observation. Therefore, we need to use devices, such as satellite tags, that can be attached to the whale to provide real-time location information.
What is satellite telemetry and how did it enable your findings?
In this case, satellite telemetry refers to the use of a satellite-linked tag attached to the whale. This tag communicates with the Argos satellite system when the antenna breaks the surface of the water. A location can then be determined when multiple Argos satellites receive the tag’s transmissions. We then receive this location data in almost real time via the Argos website, which allows us to track the movement of the tagged whale.
Based on your tracking, you found that the pygmy blue whales traveled from the west coast of Australia north to breeding grounds in Indonesia. Can you give readers a sense of why they travel this route?
Generally, whales migrate between productive feeding grounds (at high latitudes) in the summer to warmer breeding grounds (at low latitudes) during the winter. The exact reason for this general pattern is unclear, though quite a few theories exist, including to avoid predators, to assist the thermoregulatory ability of the calf, and to birth in relatively calm waters. Because of the timing of this migration, we believe these animals travel to Indonesian waters to calve. Usually it is assumed that whales fast outside of the summer when no longer located in the productive feeding grounds. Interestingly, these pygmy blue whales travel from productive feeding grounds off Western Australia to productive breeding grounds in Indonesia and therefore, probably have the opportunity to feed (and not fast) on the breeding grounds.
You’ve mentioned that pygmy blue whale migratory routes correspond with shipping routes. How does this interaction impact the whales?
Baleen whales (whales that use filters to feed instead of teeth) use sound for communication and to gain information about the environment they occupy. When pygmy blue whale movements correspond to shipping routes, there is potential for the noise generated by the ships to play some role in altering calling rates associated with social encounters and feeding.
Why is it important for us to better understand pygmy blue whale migration, and how does mapping their migratory movements help conservation efforts for this endangered animal?
Our coauthor, Trevor Branch, hypothesised in 2007 that pygmy blue whales occupying Australian waters traveled into Indonesian waters. However, prior to this study, we didn’t actually know that this was the case. As such, conservation efforts relevant to the pygmy blue whales that use Australian waters are required outside of Australian waters too. We can also now gain some understanding of risks within the pygmy blue whale migratory range, such as increased ambient noise from development, shipping, and fishing, and therefore assist in mitigating these risks.
What’s next for you and your research team?
A question mark still remains over the movements of the pygmy blue whales that utilise the Bonney Upwelling feeding grounds off southern Australia. Genetic evidence indicates mixing between the animals in the feeding areas of the Perth Canyon (the animals that were tagged in this study) and the Bonney Upwelling. This indicates the potential for individuals from the Bonney Upwelling to follow a similar migration route to those animals feeding in the Perth Canyon. However, it is also thought that Bonney Upwelling animals may utilise the subtropical convergence region south of Australia. We plan to collaborate on a research project that aims to tag the pygmy blue whales of the Bonney Upwelling and ascertain whether these animals move through the same areas and are therefore exposed to the same risks as the Perth Canyon animals.
Citation: Double MC, Andrews-Goff V, Jenner KCS, Jenner M-N, Laverick SM, et al. (2014) Migratory Movements of Pygmy Blue Whales (Balaenoptera musculus brevicauda) between Australia and Indonesia as Revealed by Satellite Telemetry. PLoS ONE 9(4): e93578. doi:10.1371/journal.pone.0093578
Image 1: IA19847 Blue pygmy whale
Photograph © Mike Double/Australian Antarctic Division
Image 2: IA19850 Blue pygmy whale
Photograph © Mike Double/Australian Antarctic Division
Image 3: pone.0093578
Image 4: IA19851 Blue pygmy whale off Western Australian coast near Perth, Western Australia, Australia Photograph © Mike Double/Australian Antarctic Division
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Although seaweed is the dominant habitat-forming organism along temperate coastlines, one of the major macroalgae of Australia, Phyllospora comosa, has disappeared over the last forty years from the urban shores around Sydney, Australia. Human activity is likely related to the degradation of these habitats in urbanized areas: During the 1970s and 1980s, humans discharged large amounts of sewage from nearby cities along surrounding coasts. Unfortunately, despite significant improvements in water quality around Sydney since, Phyllospora has not returned. To test whether Phyllospora can ever be restored in reefs where it was once abundant, authors of a recent PLOS ONE paper transplanted Phyllospora into two reefs in the Sydney area. In this interview, corresponding author Dr. Alexandra Campbell from the University of New South Wales elaborates on the group’s research and the impact of these ‘missing underwater forests’:
You’ve said that “seaweeds are the ‘trees’ of the ocean”. Can you tell us a little more about your study organism, Phyllospora, and explain its importance for coastal ecosystems around Australia?
Phyllospora comosa (known locally as ‘crayweed’) grows up to 2.5 m in length and forms dense, shallow forests along the south-eastern coastline of Australia, from near Port Macquarie in New South Wales, around Tasmania to Robe in South Australia. Individuals appear to persist on reefs for around 2 years and are reproductive year round.
How do these ecosystems change with the reduction of seaweed forests?
Large, canopy-forming macroalgae provide structural complexity, food and habitat for coastal marine ecosystems and other marine organisms. When these habitat-formers decline or disappear, the ecosystem loses its complexity, biodiversity decreases and many ecosystem services are also lost. Losing large seaweeds from temperate reefs has analogous ecosystem-level implications to losing corals from tropical reefs.
We’re interested in learning more about how you got involved in this research. Can you tell us how you became interested in studying Phyllospora?
For my doctorate, I studied how changing environmental conditions may disrupt relationships between seaweeds and microorganisms – which are abundant and ubiquitous in marine environments – potentially leading to climate-mediated diseases. During my PhD, my colleagues (Coleman et al.) published a paper describing the disappearance of crayweed from the urbanised coastline of Sydney and hypothesised that the cause was the high volume, low treatment, near shore sewage outfalls that used to flow directly on to some beaches and bays in the city. I wondered whether this pollution may have disrupted the relationship between Crayweed and its microbial associates and that’s how I got involved in the project.
Why is the loss of canopy-forming macroalgae difficult to study retrospectively and how has this informed your current study?
Once an organism has disappeared from an ecosystem, it can be difficult to piece together the processes that caused its demise, particularly if the disappearance occurred several decades ago and the ecosystem state shifted dramatically as a consequence. In our study, we hypothesized that poor water quality might have caused the decline of Phyllospora. There have been significant improvements in water quality in the region since the decline, but the species and ecosystems they used to support have failed to recover. To test whether the water quality has improved enough to allow recolonisation of this seaweed, we transplanted the seaweed back onto reefs where it was once abundant. The survival rates of transplanted seaweed were very good, suggesting that with a little help, this species may be able to recolonize Sydney’s reefs.
What were some of the difficulties you faced while conducting your research?
Moving hundreds of large seaweeds many kilometres from donor populations to the restoration sites was a big job. Thankfully, we received a great deal of help from many volunteers from the local community – mostly divers, with an interest in conserving and restoring the marine ecosystems they visit recreationally and value as a natural resource.
You’ve talked about Phyllospora ‘recruitment’ at one recipient site. Can you explain in greater detail what a ‘recruit’ is and how this is important for the success of a restoration site?
Phyllospora reproduces sexually, with gametes from male individuals fertilizing gametes from females, forming zygotes, which then attach themselves to the bottom (usually not very far from their parents) and grow into juvenile algae which we call ‘recruits’. In the context of restoration, the high level of recruitment (i.e. successful reproduction) we observed at our transplant site is very encouraging because it creates the possibility for the establishment of a self-sustaining population of Phyllospora at this site for the first time in many decades.
Why do seaweed forests receive less attention than other marine ecosystems, for example mangroves or coral reefs?
Most people don’t think about seaweeds very often. When they do, it’s usually because the sight, touch or smell of seaweed on the beach is annoying or offensive. Even the name “seaweed” conjures negative imagery so perhaps it’s a PR issue! Arguably, macroalgae have traditionally received less attention from marine ecologists than other marine ecosystems as well, with much more attention and funding going to coral reef research. With global patterns of declines of temperate, habitat-forming macroalgae, this needs to change and our understanding of the processes that affect seaweed populations needs to grow.
What would a successful restoration of underwater kelp forests mean for the ecosystem and for the local population?
It’s our hope that, by restoring habitat-forming macroalgae like Phyllospora, we will also enhance populations of other organisms that rely on this species for food or shelter. Detecting such follow-on benefits of our seaweed restoration program is the focus of ongoing research and our initial results are very encouraging.
You’ve mentioned that larger scale restoration would be a sound way of combating the grazing (herbivory) you saw. What is the next step forward for you?
Enhanced grazing may be another mechanism by which Phyllospora disappeared from these reefs (or perhaps why it’s failed to recover). The impacts of grazing we observed were site-specific, so further investigations in to why one place was so severely impacted by herbivores while the other was not, are needed. Our first step towards resolving this is to establish more numerous restoration patches of different sizes to see whether we can satiate the herbivores and whether smaller patches are more susceptible to grazing than larger patches.
For more PLOS ONE articles about the ‘trees of the ocean’, check out the way seaweed and coral interact in “Seaweed-Coral Interactions: Variance in Seaweed Allelopathy, Coral Susceptibility, and Potential Effects on Coral Resilience” and how ocean currents influence seaweed community organization in “The Footprint of Continental-Scale Ocean Currents on the Biogeography of Seaweeds”.
Citation: Campbell AH, Marzinelli EM, Vergés A, Coleman MA, Steinberg PD (2014) Towards Restoration of Missing Underwater Forests. PLoS ONE 9(1): e84106. doi:10.1371/journal.pone.0084106
Image: Adriana Vergés, co-author
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Circles of barren land, ranging from one to several feet in diameter, appear and disappear spontaneously in Namibian grasslands. The origins of these ‘fairy circles’ remain obscure, and have been attributed to causes ranging from the fantastic (the poisonous breath of a subterranean dragon) to those backed by more evidence, such as the work of a soil termite. A recent PLOS ONE paper suggests another possibility: Patterns that emerge during normal plant growth. Author Michael Cramer elaborates on the results of this study:
How did you become interested in studying the Namibian fairy circles, and are similar circles seen elsewhere?
It would be hard not to be intrigued by these mysterious barren circles on the edge of the spectacular Namibian sand sea! These circles are also reminiscent of soil mounds in other places, for example mima mounds in the US, “heuweltjies” in South Africa and “campos de murundus” in South America that have primarily been ascribed to faunal activity. Like fairy circles, these mounds may, however, represent a distinct product of patterns formed by vegetation. My co-author, Nichole Barger, became intrigued by both these phenomena while I was on sabbatical in her lab.
Many other scientific ideas have been proposed to explain the occurrence of these circles. What’s missing from these explanations?
Any explanation of fairy circles has to provide a plausible mechanism for regular spacing of these relatively large circles in the landscape. The most common explanation to date has been that termites cause the circles. While it is undoubtedly true that ants, termites and other fauna do occur in the circles and may play a role in maintenance of the circles, we suggest that inter-plant competition is the primary cause that drives circle formation. This places plant competition in focus as a possible mechanism for determining the shape, size and distribution of the circles.
What made you think the patterns could be formed by plant growth patterns themselves?
We stood on the shoulders of giants! Previous studies have alluded to vegetation patterning as a possible cause. Other researchers have also produced computer models to predict fairy circle occurrence and found plant growth may play a role. More generally, understanding of spatial patterns formed by plants and the realization that this emergent phenomenon is common in arid landscapes has increased recently. Several groups have produced mathematical models that explain the production of vegetation patterns (gaps, bands and spots) and show that increasing aridity can result in transition from one pattern to another.
We adopted two approaches. We used Google Earth to obtain images of sites across Namibia, analyzed these to determine circle morphological characteristics, and then combined the images with environmental data to predict the distribution of fairy circles. We performed ground surveys to measure circle morphology and collect soil samples. Soils were sampled at various depths and regular intervals inside and outside the circles and analyzed for water and nutrient contents.
What did you find?
We found that we could predict, with 95% accuracy, the distribution of fairy circles based on just three variables. Rainfall strongly determined their distribution, and differences in rainfall from year to year may thus explain why circles dynamically appear and disappear in this landscape. The patterns of moisture depletion across the circles are also consistent with plant roots foraging for water in the circle-soil. The size and density of the circles is inversely related to resource availability, indicating that bigger circles occur in drier areas and where soil nitrogen is lower.
Do the data in this study strengthen previous results or disprove any older explanations for the circles?
Our results corroborate previous results and extend them, but we have interpreted the results in a novel manner. Since our study was correlative, i.e: we correlated the occurrence of fairy circles with certain environmental conditions, it does not disprove existing hypotheses. Direct experiments that result in fairy circles being created or closing up are perhaps the only way to prove or disprove any of these ideas.
Circular grass rings do occur in many contexts. For example, Stipagrostis ciliata in the Negev and Muhlenbergia torreyi (ring muhly) in the US (e.g. New Mexico, Utah) form rings. The distinction is that these are much smaller (ca. < 1 – 2 m diameter) and less regularly spaced than fairy circles. Nevertheless, their origins may have some commonalities with fairy circles. The special circumstance that results in the spectacular Namibian fairy circles may be the fact that the soils are very sandy and homogenous.
More generally, the fairy circles represent an example of how patterns formed by growing plants can create heterogenous spaces in otherwise homogenous grassland. Differences in soil moisture or composition across the span of a fairy circle can provide habitat for both grasses and fauna that would otherwise not thrive in this arid environment.
Citation: Cramer MD, Barger NN (2013) Are Namibian “Fairy Circles” the Consequence of Self-Organizing Spatial Vegetation Patterning? PLoS ONE 8(8): e70876. doi:10.1371/journal.pone.0070876
Images: fairy circles by Vernon Swanepoel (top); images below from 10.1371/journal.pone.0070876
18,000 years ago, the remote Indonesian island of Flores was home to a population of tiny humans. They stood only about 3.5 feet tall on their large feet, and their skulls housed unusually small brains approximately the size of a grapefruit. The identity of these ‘hobbits’ has been hotly debated for years: Were they modern humans suffering a disease, or a new species, Homo floresiensis?
Biological anthropologist Karen Baab first studied a model of LB1, the only skull recovered from the site, at the American Museum of Natural History in 2005. In a recently published PLOS ONE study, she and other researchers compare this specimen to a range of other modern human and extinct hominin skulls to get closer to settling the identity of Homo floresiensis, or ‘Flores man’.
The origins of ‘Flores man’ have been debated for quite a while now. What are the possible origins that are being discussed, and why the uncertainty?
The primary debate has centered on whether LB1 (and possibly the other individuals found on Flores) represents a new species that descended from an extinct species of the genus Homo or whether it is instead a pathological modern Homo sapiens, i.e the same species as us. If the Flores remains do in fact represent a distinct species, then the next question is whether they descended from Homo erectus, a species that may be our direct ancestor, or an even more primitive species. The latter scenario implies an otherwise undocumented migration out of Africa.
What makes it so hard to settle the argument one way or the other?
One of the difficulties in settling this particular argument is that most studies have focused on one or the other of these ideas and compared the Flores remains to either fossil hominins or to pathological modern humans, each using a different set of features. This makes it challenging to compare the alternative hypotheses side-by-side.
What kind of diseases might have caused modern humans to have features similar to these ‘hobbits’?
The three that have been discussed most prominently (and the three we looked at) are microcephaly, endemic hypothyroidism (“cretinism”) and Laron Syndrome. Microcephaly is not a disease per se, but rather a symptom of many different disorders. It refers to having an abnormally small brain and therefore skull. “Cretins” suffer from a lack of thyroid hormone before and after birth, which leads to stunted growth and possibly a slight decrease in skull size. Laron Syndrome individuals produce growth hormone, but their bodies do not properly recognize it, again leading to stunted growth and other developmental issues.
Only a few specimens of this hominin have been found, and there’s only one known skull, from the specimen named LB1. Are there reasons why these specimens have not been discovered elsewhere?
If Homo floresiensis descended from Homo erectus, then their closest relative lived just “next door” on the nearby island of Java. In this case, the unique features of the Homo floresiensis species probably evolved in the isolated island environment of Flores. If, however, the ancestor was a more primitive species, and Homo floresiensis didn’t branch off from H.erectus, it is possible that they might have migrated earlier than known, and we could still find older sites in mainland Asia containing this ancestral species.
You compared the morphology of the LB1 skull to many hominin ancestors and modern human populations from around the world. What were some of the most striking similarities and differences?
The LB1 skull is very distinct from the typical modern human’s, as it has a lower, more elongated silhouette when viewed from the side, , greater width at the rear of the braincase, and a flatter frontal bone (the bone underlying the forehead) with a more pronounced brow ridge. Interestingly, these are some of the same features that distinguish archaic species like Homo erectus from modern humans.
Specimens of Laron Syndrome and “cretin” skulls from modern Homo sapiens presented large, round, globular braincases, which are very different from the smaller, lower and less rounded braincase of LB1. The microcephalic human skulls present a closer comparison to LB1, but still show clear distinctions from LB1 in much the same way that they differ from species like Homo erectus or Homo habilis.
Overall, the LB1 braincase is most similar in its overall shape to small-brained Homo erectus from Eurasia that are 1.8 million years old.
How does this analysis add to, or change, what we knew about Flores man?
This analysis provides a unique opportunity to evaluate these evolutionary and pathological hypotheses side-by-side based on the same criterion – of cranial shape similarity. The results support a stronger affiliation of LB1 with fossil Homo than with any of the proposed pathologies. This study also offers an improvement over previous assessments of the microcephaly hypothesis by using a more extensive sample that better captures the variability in this disorder.
Do these results conclusively settle the discussion? What other possibilities still exist for the origins of H. floresiensis?
While very little in paleoanthropology is ever “settled,” I do think this study represents an important step forward in terms of putting the pathological hypotheses to rest. The question that remains to be answered definitively is which species of archaic Homo is the most likely ancestor of Homo floresiensis – Homo erectus or an earlier and more primitive species of Homo?
Citation: Baab KL, McNulty KP, Harvati K (2013) Homo floresiensis Contextualized: A Geometric Morphometric Comparative Analysis of Fossil and Pathological Human Samples. PLoS ONE 8(7): e69119. doi:10.1371/journal.pone.0069119
From rainforests to rocky glaciers, the life of an ecosystem is rooted in the balance of nutrients in its soil. Shifting levels of soil nitrogen (N) and phosphorus (P) define how ecosystems evolve, and understanding the dynamics of these key nutrients can help ecologists identify crucial factors to help mitigate climate change.
A new model to understand N and P dynamics over different time scales was described in the PLOS ONE paper, “Nitrogen and Phosphorus Limitation over Long-term Ecosystem Development in Terrestrial Ecosystems”. Recently awarded the Ecological Society of America’s prize for an outstanding theoretical ecology paper, the study determines whether N or P are more likely to limit the productivity of ecosystems over short, intermediate and long timescales. Author Duncan Menge explains the background and results of their study:
How do N and P levels change with the age of an ecosystem like a rainforest?
A good question. Levels of both N and P are very low in very young ecosystems (which typically have rocky soils; see picture above), higher in intermediate-aged ecosystems (see picture), and often lower in old ecosystems. How N levels change relative to P, though, is a trickier subject. The best-studied sites show relatively low N in younger ecosystems and relatively high N in older ecosystems, but there are some places that show opposing trends.
Prior to your research, how did theoretical models assess the impact of these two nutrients on ecosystem dynamics?
Prior to our work there were a series of conceptual developments, which I will call “the classic model,” but there was no previous mathematical model of N and P dynamics during long-term ecosystem development. The classic model states that ecosystems should progress from N deficiency in younger ecosystems to P deficiency in older ecosystems, as is seen on the best-studied sites. According to the classic model, this happens because of the differences in where N and P come from. P is present in most rocks, whereas N is not, so P inputs are largely controlled by the weathering of rocks. Consequently, very young ecosystems have large P inputs, whereas very old ecosystems have small P inputs. On the other hand, N comes primarily from rain, so N inputs don’t necessarily depend on ecosystem age.
There are a number of missing elements that jumped out as potentially important. First, the input side of the story isn’t as simple as “P comes from rocks, N comes from rain.” P also comes from dust that is blown in from upwind, whereas N can also come from organisms like soybean or alder that “fix” N from the air. Second, N and P losses from ecosystems should be as important as inputs in determining N and P levels, but these weren’t the focus of the classic model. These facts have been known for a long time in the scientific community, but no one had looked at what their implications might be for ecosystem development.
What was your new model and how did it cover these aspects?
Our model is novel for a couple of reasons. First, we considered a broader set of N and P input and loss dynamics than the classic model, which made for a richer set of possible ecosystem trajectories. Second, the type of mathematical analysis we did was unlike anything previous researchers had done in this particular field, and made it possible to pin down the types of conditions that might lead to different soil conditions.
What were some of the key data accounted for in your model that were overlooked in previous analyses?
Aside from the input and loss dynamics mentioned above, one piece of data we keyed in on was that microbes in the soil have an easier time accessing P than N in dead plant material. Again, this “preferential P mineralization” is something that has been known for a long time, but we thought that the effects of this quirk might not be fully appreciated.
What were the main findings of your analyses?
In addition to the classic “N limitation to P limitation” path, our model shows that many other trajectories are feasible. For example, if dust deposition is high and N-fixing organisms are abundant in young ecosystems (as they often are), an ecosystem might start out P limited and end N limited. One of the more surprising findings was that the levels of N and P in soil organic matter (mostly dead plant material) don’t necessarily correspond to N versus P limitation in an intuitive way.
What are some of the practical applications of this model- for example, for developmental activities in rainforests, or human activities planned in other ecosystems?
Whether N or P has a greater effect in an ecosystem has important implications for many environmental issues. The most important application is enhancing our climate models. Excess N can be transformed into a greenhouse gas, whereas P cannot. So, a better understanding of nutrient levels will improve predictions about the extent of climate change.
Citation: Menge DNL, Hedin LO, Pacala SW (2012) Nitrogen and Phosphorus Limitation over Long-Term Ecosystem Development in Terrestrial Ecosystems. PLoS ONE 7(8): e42045. doi:10.1371/journal.pone.0042045
Photos by Duncan Menge:
top: the rocky soil of a very young ecosystem, Franz Josef glacier in New Zealand. The rainforests in the valley formed by the Franz Josef glacier are some of the best studied ecosystem development sites in the world.
below: a rainforest on 500 year old soil near the Franz Josef glacier.