Homing in on the micro range

I’ve always been fascinated by geography. As a child, I memorized the heights of mountains, the populations of cities, and the areas encompassed by various states and countries. I can still recite from memory many of these numbers – at least based on the 1960 Rand McNally World Atlas. Part of my fondness for geography is no doubt based on my brain’s ability to recall numbers but very little else.

Most geographic ecologists are fond of numbers, exploring numerical questions such as how many organisms or species are there in a given area, or how large an area does a particular species occupy? They then look for factors that influence the distribution and abundance of species or groups of species. Given that biologists estimate there may be up to 100 million species, geographic ecologists have their work cut out for them.

As it turns out, most geographic ecologists have worked on plants, animals or fungi, while relatively few have worked on bacteria and archaeans (a very diverse group of microorganisms that is ancestral to eukaryotes).

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Two petri plates with pigmented Actinobacteria. Credit: Mallory Choudoir.

Until recently, bacteria and archaeans were challenging subjects because they were so small and difficult to tell apart. But now, molecular/microbial biology techniques allow us to distinguish between closely related bacteria based on the sequence of bases (adenine, cytosine, guanine, and uracil) in their ribosomal RNA. Bacteria which are identical in more than 97% of their base sequence are described as being in the same phylotype, which is roughly analogous to being in the same species.

As a postdoctoral researcher working in Noah Fierer’s laboratory with several other researchers, Mallory Choudoir wanted to understand the geographic ecology of microorganisms. To do so, they and their collaborators collected dust samples from the trim above an exterior door at 1065 locations across the United States (USA).

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Dr. Val McKenzie collects a dust sample from the top of a door sill. Credit: Dr. Noah Fierer.

The researchers sequenced the ribosomal RNA from each sample to determine the bacterial and archaeal diversity at each location. Overall they identified 74,134 gene sequence phyloypes in these samples – that took some work.

On average, each phylotype was found at 70 sites across the USA, but there was enormous variation. By mapping the phylotypes at each of the 1065 locations, the researchers were able to estimate the range size of each phylotyope. They discovered a highly skewed distribution of range sizes, with most phylotypes having relatively small ranges, while only a very few had large ranges (see the graph below). As it turns out, we observe this pattern when analyzing range sizes of plant and animal species as well.

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Mean geographic range (Area of occupancy) for each phylotype in the study.  The y-axis (Density) indicates the probability that a given phylotype will occupy a range of a particular size (if you draw a straight line down from the peak to the x-axis, you will note that most phylotypes had an AOO of less than 3000 km2

Taxonomists use the term phylum (plural phyla) to indicate a broad grouping of similar organisms. Just to give you a feel for how broad a phylum is, humans and fish belong to the same phylum. Some microbial phyla had much larger geographic ranges than others. Interestingly, it was not always the case that the phylum with the greatest phylotype diversity had the largest range. For example, phylum Chrenarchaeota had the greatest median geographic range (see the graph below), but ranked only 19 (out of 50 phyla) in number of phylotypes (remember that a phylotype is kind of like a species in this study).

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Box plots showing range size distribution for individual phyla. Middle black line within each box is the median value; box edges are the 25th and 75th percentile values (1st and 3rd quartiles).  Points are outlier phylotypes. Notice that the y-axis is logarithmic.

With this background, Choudoir and her colleagues were prepared to investigate whether there were any characteristics that might influence how large a range would be occupied by a particular phylotype. We could imagine, for example, that a phylotype able to withstand different types of environments would have a greater geographic range than a phylotype that was limited to living in thermal pools. Similarly, a phylotype that dispersed very effectively might have a greater geographic range than a poor disperser.

The researchers expected that aerobic microorganisms (that use oxygen for their metabolism) would have larger geographic ranges than nonaerobic microorganisms, which are actually poisoned by oxygen. The data below support this prediction quite nicely.

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Geographic range size in relation to oxygen tolerance.  In this graph, and the graphs below, the points have been jittered to the right and left of their bar for ease of viewing (otherwise even more of the points would be on top of each other).

Some bacterial species form spores that protect them against unfavorable environmental conditions. The researchers expected that spore-forming bacteria would have larger geographic ranges than non-spore-forming bacteria.

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Geographic range in relation to spore formation (left graph) and pigmentation (right graph).

Choudoir and her colleagues were surprised to discover exactly the opposite; the spore forming bacteria had, on average, slightly smaller geographic ranges. Choudoir and her colleagues also expected that phylotypes that are protected from harsh UV radiation by pigmentation would have larger geographic ranges than unpigmented phylotypes – this time the data confirmed their expectations.

The researchers identified several other factors associated with range size. For example, bacteria with more guanine and cytosine in their DNA or RNA tend to have larger geographic ranges. Some previous studies have shown that a higher proportion of guanine and cytosine is associated with greater thermal tolerance, which should translate to a greater geographic range. Choudoir and her colleagues also discovered that microorganisms with larger genomes (longer DNA or RNA sequences) also had larger ranges. They reason that larger genomes (thus more genes) should correspond to greater physiological versatility and the ability to survive variable environments.

This study opens up the door to further studies of microbial geographic ecology. Some patterns were expected, while others were surprising and beg for more research. Many of these microorganisms are important medically, ecologically or agriculturally, so there are very good reasons to figure out why they live where they do, and how they get from one place to another.

note: the paper that describes this research is from the journal Ecology. The reference is Choudoir, M. J., Barberán, A., Menninger, H. L., Dunn, R. R. and Fierer, N. (2018), Variation in range size and dispersal capabilities of microbial taxa. Ecology, 99: 322–334. doi:10.1002/ecy.2094. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2017 by the Ecological Society of America. All rights reserved.

“Notes from Underground” – cicadas as living rain gauges

Given recent discussions between Donald Trump and Kim Jong-un about whose button is bigger, many of us with entomological leanings have revisited the question of what insects are most likely to dominate a post-nuclear world. Cicadas have a developmental life history that predisposes them to survival in the long term because some species in the eastern United States spend many subterranean years as juveniles (nymphs), feeding on the xylem sap within plants’ root systems. Magicicada nymphs live underground for 13 or 17 years, depending on the species, before digging out en masse, undergoing one final molt, and then going about the adult business of reproduction. This life history of spending many years underground followed by a mass emergence has not evolved to avoid nuclear holocausts while underground, but rather to synchronize emergence of billions of animals. Mass emergence causes predator satiation, an anti-predator adaptation in which predators are gastronomically overwhelmed by the number of prey items, so even if they eat only cicadas and nothing else, they still are able to consume only a small fraction of the cicada population.

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Mass Magicicada emergence picturing recently-emerged winged adults, and the smaller lighter-colored exuviae (exoskeletons) that are shed during emergence. Credit: Arthur D. Guilani.

Less well-known are the protoperiodical cicadas (subfamily Tettigadinae) of the western United States that are abundant in some years, and may be entirely absent in others. Jeffrey Cole has studied cicada courtship songs for many years, and during his 2003 field season noted that localities that had previously been devoid of cicadas now (in 2003) hosted huge numbers of six or seven different species. He returned to those sites every year and high diversity and abundance reappeared in 2008 and 2014. This flexible periodicity contrasted with their eastern Magicicada cousins, and he wanted to know what stimulated mass emergence.

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Protoperiodical cicadas studied by Chatfield-Taylor and Cole.  Okanagana cruentifera (top) and Clidophleps wrighti (bottom). Credit Jeffrey A. Cole.

Cole and his graduate student, Will Chatfield-Taylor, considered two hypotheses that might explain protoperiodicity in southern California (where they focused their efforts). The first hypothesis is that cicada emergence is triggered by heavy rains generated by El Niño Southern Oscillation (ENSO), a large-scale atmospheric system characterized by high sea temperature and low barometric pressure over the eastern Pacific Ocean. ENSO has a variable periodicity of 4.9 years, which roughly corresponds to the timing Cole observed while doing fieldwork. The second hypothesis recognized that nymphs must accumulate a set amount of xylem sap from their host plants to complete development. Sap availability depends on precipitation, and this accumulation takes several years in arid habitats. So while ENSO may hasten the process, the key to emergence is a threshold amount of precipitation over a several year timespan.

Working together, the researchers were able to identify seven protoperiodical species by downloading museum specimen data (including where and when each individual was collected) from two databases (iDigBio and SCAN). They also used data from several large museum collections, which gave them evidence of protoperiodical cicada emergences back to 1909. Based on these data, Chatfield-Taylor and Cole constructed a map of where these protoperiodical cicadas emerge.

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Maps of five emergence localities discussed in this study.

The researchers tested the hypothesis that protoperiodical cicada emergences follow heavy rains triggered by ENSO by going through their dataset to see if there was a correlation between ENSO years and mass cicada emergences. Of 20 mass cicada emergences since 1918, only five coincided with ENSO events, which is approximately what would be expected with a random association between mass emergences and ENSO. Scratch hypothesis 1.

Let’s look at the second hypothesis. The researchers needed reliable precipitation data between years for which they had good evidence that there were mass emergences of their seven species. Using a statistical model, they discovered that 1181 mm was a threshold for mass emergences, and that three years was the minimum emergence interval regardless of precipitation. Only after 1181 mm of rain fell since the last mass emergence, summed over at least three years, would a new mass emergence be triggered.

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Cumulative precipitation over seven time periods preceding cicada emergence.

The nice feature of this model is that it makes predictions about the future. For example, the last emergence occurred in the Devil’s punchbowl vicinity in 2014. Since then that area has averaged 182.2 mm of precipitation per year. If those drought conditions continue, the next mass emergence will occur in 2021 at that locality, which is longer than its historical average. Only time will tell. Hopefully Mr. Trump and Mr. Jong-un will be able to keep their fingers off of their respective buttons until then.

note: the paper that describes this research is from the journal Ecology. The reference is Chatfield-Taylor, W. and Cole, J. A. (2017), Living rain gauges: cumulative precipitation explains the emergence schedules of California protoperiodical cicadas. Ecology, 98: 2521–2527. doi:10.1002/ecy.1980. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2017 by the Ecological Society of America. All rights reserved.

 

Predators and livestock – “stayin’ alive.”

President Donald Trump was elected on a platform that included building a great wall whose purpose was to keep out unwanted intruders from the south, and that would be paid for (apparently magically) by these same intruders.  The idea of building a great wall has been around for a long time; the Great Wall of China was constructed over a time period of almost two thousand years to keep out unwanted intruders (this time from the north). Not surprisingly, the cost of that Great Wall was not borne by the unwanted intruders. More recently, in the 1880s, the government of Australia constructed a 5500 km fence designed to keep unwanted dingoes away from sheep that pasture in southeastern Australia. As Lily van Eeden describes, the Australian government spends about $10 million dollars per year to maintain the fence but there are almost no data to compare livestock losses on either side of the fence. Thus she and her colleagues decided to look at what was being done globally to evaluate the effectiveness of different methods of protecting livestock.

DingoFencePeter Woodard

The Dingo fence across southeastern Australia. Credit Peter Woodard.

The researchers grouped livestock protection approaches into five different categories: lethal control, livestock guardian animals such as dogs, llamas and alpacas, fencing, shepherding and deterrents. Lethal control includes using poison baits and systematic culling of populations of top predators. Deterrents include aversive conditioning of problem predators, chemical, auditory or visual repellents, and protection devices such as livestock protection collars.

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A guardian dog emerges from the midst of its flock in Bulgaria. Credit: Sider Sedefchev.

Van Eeden and her colleagues then did a meta-analysis to see which approach worked best. You can check out my blog from Aug. 2, 2017 (“Meta-analysis measures multiple mycorrhizal benefits to plants”) for a more detailed discussion of meta-analyses. Very briefly a meta-analysis is a systematic analysis of data collected by many other researchers. This is challenging because each study uses slightly different techniques and has different levels of rigor. For this meta-analysis, van Eeden and her colleagues used only two types of studies. One type is a before/after design, in which researchers kept data on livestock loss before the mitigation treatment as well as after. The second type is a control-impact design, in which there was a control group set aside, which did not receive the mitigation treatment. Each study also needed sample sizes (number of herds and/or number of years), means and standard deviations, and had to be run for at least two months to be used in the meta-analysis.

The researchers searched several databases (Web of Science, SCOPUS and European Commission LIFE project), Google Scholar, and also used more informal sources, to collect a total of more than 3300 records. However, after imposing the requirements for types of experimental design and data output, only 40 studies remained for the meta-analysis. Based on these data, all five mitigation approaches reduced predation on livestock. The effect size in the figure below compares livestock loss with the treatment to livestock loss without the treatment, so that a negative value indicates that the treatment is associated with reduced livestock loss. The researchers conclude that all five approaches are somewhat effective, but the large confidence intervals (the whiskers in the graph) make it difficult to unequivocally recommend one approach over another. The effectiveness of lethal control was particularly variable (hence the huge confidence interval), as three studies showed an increase in livestock loss associated with lethal control.

van EedenFig2

Mean effect size (Hedges’ d) and confidence intervals for five methods used to mitigate conflict between predators and livestock.  More negative effect size indicates a more effective treatment. Numbers in parentheses are number of studies used for calculating mean effect size.

Finding that non-lethal management is as effective (or possibly more effective) than lethal control tells us that we should probably be very careful about intentionally killing large carnivores, since, in addition to being cool animals that deserve a right to exist, they also perform some important ecosystem services. For example, in Australia, there are probably more dingoes northwest of the fence than there are south of the fence, so exclusion may  be working. However there is some evidence that there are also more kangaroos and rabbits south of the fence, which could be an unintended consequence of fewer predatory dingoes. Kangaroos and rabbits eat lots of grass, so keeping dingoes away could ultimately be harming the sheep populations. Dingoes may also kill or compete with invasive foxes and feral cats, which have both been shown to drive native species to extinction, so excluding dingoes may increase foxes and cats, threatening native species.  Van Eeden and her colleagues argue that different mitigation approaches work in different contexts, but that we desperately need evidence in the form of standardized evaluative studies to understand which approach is most suitable in a particular context.

van Eeden Fig.3

Context-specific approach to managing the co-exstence of predators and livestock.

In all contexts, cultural and economic factors interact in mitigating conflict between humans and carnivores. The dingo is officially labeled as a wild dog, which invaded Australia relatively recently (about 4000 years ago), so the public perception is that this species has a limited historical role. Other cultures may have a different view of their predators. For example, the Lion Guardian project in Kenya, which trains and supports community members to protect lions, has successfully built tolerance for lions by incorporating Maasai community cultural values and belief systems.

To use a phrase that President Trump recently forbade the Centers for Disease Control to use in their reports, our decisions about predator mitigation should be “evidence-based.” We need more controlled studies that address the success of different mitigation approaches in particular contexts. We also must understand the costs of removing predators from an ecosystem, as predator removal can initiate a cascade of unintended consequences.

note: the paper that describes this research is from the journal Conservation Biology. The reference is van Eeden, L. M., Crowther, M. S., Dickman, C. R., Macdonald, D. W., Ripple, W. J., Ritchie, E. G. and Newsome, T. M. (2018), Managing conflict between large carnivores and livestock. Conservation Biology, 32: 26–34. doi:10.1111/cobi.12959. Thanks to the Society for Conservation Biology for allowing me to use figures from the paper. Copyright © 2018 by the Society for Conservation Biology. All rights reserved.

Prey populations: the only thing to fear is fear itself

In reference to the Great Depression, Franklin Delano Roosevelt is famously quoted as stating during his 1933 inaugural speech “the only thing we have to fear is fear itself.” Roosevelt was no biologist, but his words could equally apply to a different type of depression – the decline of animal populations that can be caused by fear.

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Roosevelt’s inauguration in 1933. Credit: Architect of the Capitol.

Ecologists have long known that predators can depress prey populations by killing substantial numbers of their prey. But only in the past two decades or so have they realized that predators can, simply by their presence, cause prey populations to go into decline. There are many different ways this can happen, but, in general, a predation threat sensed by a prey organism can interfere with its feeding behavior, causing it to grow more slowly, or to starve to death. As one example, elk populations declined after wolves were introduced to Yellowstone National Park. There are many factors associated with this decline, but one factor is fear of predators causes elk to spend more time scanning and less time foraging. Also, elk tend to stay away from wolf hotspots, which are often places with good elk forage.

Liana Zanette recognized that ecologists had not considered whether predator presence can cause bird or mammal parents to reduce the amount of provisioning they provide to dependent offspring, thereby reducing offspring growth and survival, and slowing down population growth. For many years, she and her colleagues have studied the Song Sparrow, Melospiza melodia, on several small Gulf Islands in British Columbia, Canada. In an early study, she showed that playbacks of predator calls reduced parental provisioning by 26%, resulting in a 40% reduction in the estimated number of nestlings that fledged (left the nest). But, as she points out, Song Sparrow parents provision their offspring for many days after fledging; she wondered whether continued perception of a predation threat during this later time period further decreased offspring survival and ultimately population growth.

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The Song Sparrow, Melospiza melodia. Credit: Free Software Foundation.

Zanette’s student, Blair Dudeck, did much of the fieldwork for this study. The researchers captured nestlings six days after hatching , weighed and banded them, and fit them with tiny radio collars. They then recaptured and weighed the nestlings within a few hours of fledging (at about 12 days post-hatching) to assess nestling growth rates.

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Banded sparrow nestling with radio antenna trailing from below its wing. Credit: Marek C. Allen.

Three days after the birds fledged, Dudeck radio-tracked them, and surrounded them with three speakers approximately 8 meters from where they perched. For one hour, each youngster listened to recordings of calls made by predators such as ravens or hawks, followed, after a brief rest period, by one hour of calls made by non-predators such as geese or woodpeckers (or vice-versa). During the playbacks, Dudeck observed the birds to record how often the parents visited and fed their offspring, and whether offspring behavior changed in association with predator calls. This included recording all of the offspring begging calls.

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Blair Dudeck simultaneously uses a tracking device to locate Song Sparrows and a recorder mounted to his head to record their begging calls. Credit: Marek C. Allen.

Fear had a major impact on parental behavior. Parents reduced food provisioning vists by 37% when predator calls were played in comparison to when non-predator calls were played. They also fed offspring fewer times per visit, which resulted in 44% fewer meals in association with predator calls.

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Mean number of parental provisioning visits (in one hour) in relation to whether predator (red) or non-predator (blue) calls were played. Error bars are 1 SE.

Hearing predator calls had no effect on offspring behavior – they continued to beg for food at a high rate, and did not attempt to hide.

Some parents were much more scared than others – in fact, some parents were not scared at all. The researchers measured parental fearfulness by subtracting the number of provisioning visits by parents during predator calls from the number of visits during non-predator calls. A more positive number indicated a more fearful parent (a negative number represents a parent who fed more in the presence of predator calls). The researchers discovered that more fearful parents tended to have offspring that were in poorer condition at day 6 and at fledging.

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Offspring weight on day 6 (open circles) and at fledging (solid circles) in relation to parental fearfulness.  Higher positive numbers on x-axis indicate increasingly fearful parents.

Importantly, more fearful parents tended to have offspring that died at an earlier age. Based on this finding, the researchers created a statistical model that compared survival of offspring that heard predator playbacks throughout late-development with survival of offspring that heard non-predator playbacks during the same time period. They estimated a 24% reduction in survival. Combined with their previous study on playbacks during early development, the researchers estimate that hearing predator playbacks throughout early and late development would reduce offspring survival by an amazing 53%.

This “fear itself” phenomenon can extend to other trophic levels in a food web. For example recent research by Zanette and a different group of researchers showed that playbacks of large carnivore vocalizations dramatically reduced foraging by raccoons on their major prey, red rock crabs. When these carnivore playbacks were continued for a month, red rock crab populations increased sharply. This increase in crab population size was followed by a decline of the crab’s major competitor – the staghorn sculpin, and the crab’s favorite food, a Littorina periwinkle. Thus “fear itself” can cascade through the food web, affecting multiple trophic levels in important ways that ecologists are now beginning to understand.

note: the paper that describes this research is from the journal Ecology. The reference is Dudeck, B. P., Clinchy, M., Allen, M. C. and Zanette, L. Y. (2018), Fear affects parental care, which predicts juvenile survival and exacerbates the total cost of fear on demography. Ecology, 99: 127–135. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2018 by the Ecological Society of America. All rights reserved.

Successful scavengers

Scavengers have a bad reputation. They reputedly eat foul smelly stuff, and are too lazy or incompetent to track down prey on their own, depending on “noble” beasts such as lions to kill prey, and then sneaking a few bites when the successful hunters are not looking (or after they’ve stuffed themselves). Of course the reality is that scavenging is simply one way that animals make a living. Many different species, including lions, will scavenge if given the opportunity, and from a human perspective, scavengers provide several important ecosystem services. As one example described by Kelsey Turner and her colleagues, ranchers in parts of Asia gave diclofenac, a non-steroidal anti-inflammatory drug, to their cattle, which had the unintended consequence of killing much of the vulture community. Losing vultures from the scavenging community increased the prevalence of rotting carcasses, which caused feral dog and rat populations to skyrocket, resulting in a sharp increase of human rabies cases in India. The take-home message is that we need to understand what factors influence scavenging behavior and scavenging success.

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Golden eagle overwintering in South Carolina scavenges a pig carcass in a clearcut. Credit: Kelsey Turner.

Turner and her colleagues were particularly interested in whether the size of a carcass, the habitat in which an animal dies, and the time of year, influence scavenging dynamics.   The researchers varied carcass size by using three different species: rats (small), rabbits (medium) and pigs (large). Habitats were clearcuts, mature hardwood, immature pine, and mature pine forest. Time of year was divided into two seasons: warm (May – September) and cool (December – March). I should point out that the cool season was mild by many standards, as the research was conducted at the Savannah River Site in South Carolina, with a mean winter temperature of about 10 ° C.

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Map of Savannah River Site showing the study sites and diverse habitats.

The researchers collected data by laying down carcasses of varying size in each of the habitats in both summer and winter. Each carcass was observed by a remote sensing camera that captured the scavenging events, allowing the researchers to identify the species of each scavenger and how long it took for the carcass to be detected and consumed.

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Two coyotes captured by a remote sensing camera scavenging a pig carcass on a rainy day. Credit: Kelsey Turner.

Scavengers discovered 88.5% of the carcasses placed during the cool season, but only 65.4% of carcasses placed during the warm season. Carcass size was also important, with only 53.9% of rats detected, in contrast to 78.5% of rabbits and 97.8% of pigs detected. But habitat interacted with these general findings: for example scavengers consumed all (23) rabbits in clearcuts, but only about 70% of rabbits placed in the other three habitats.

Detection time also varied with carcass size; in general scavengers found pigs more readily than rats or rabbits. As the graphs below show, this relationship was quite complex. Pigs were detected much more quickly than the smaller carcasses in clearcuts, and somewhat more quickly in mature pine. Additionally, this difference between pigs and the other species is stronger in the warm season (left graph) than in the cool season (right graph). In fact, there is no difference in detection time of pigs, rabbits and rats placed in mature pine during the cool season.

EcologyFig1Turner

Natural log of mean detection time (in hours) of rat, rabbit and pig carcasses in warm season (left) and cool season (right) in different habitats.  CC = clearcut, HW = mature hardwood, IP = immature pine, MP = mature pine.

Not surprisingly pigs tended to persist longer (before being totally consumed) than the other two species. More strikingly, persistence time for all three species was much greater in the cool season than in the warm season.

EcologyFig3Turner

Natural log of mean carcass persistence time (in hours) of rat, rabbit and pig carcasses during the cool and warm seasons.

Turner and her colleagues identified 19 different scavenger species; turkey vultures, coyotes, black vultures, Virginia opossums, raccoons and wild pigs were the most frequent. The first scavengers to detect pig carcasses were usually turkey vultures (76.0%) or coyotes (17.3%). An average of 2.8 different species scavenged at pig carcasses, in contrast to 1.5 at rabbit carcasses and 1.04 at rat carcasses. As you might imagine, most scavengers made short work of rat carcasses, so there was not much opportunity for other individuals or species to move in. Carcasses that persisted longer generally had a greater diversity of scavengers; for example, carcasses scavenged by 1, 2 or 3 species persisted, on average, for 90.5 hours, while those scavenged by 4, 5 or 6 species persisted, on average for 216.5 hours.

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A flock of turkey vultures in a clearcut surround and scavenge a pig carcass. Credit: Kelsey Turner.

Early ecologists viewed feeding relationships within an ecological community as a linear process in which plants extract nutrients from soils and calories from the air, which they pass onto herbivores and then to carnivores, with considerable energy being lost in each transfer. Now, we use a food web perspective, which considers the essential contributions of scavengers and decomposers (among others) to these feeding relationships. Carcasses decompose much more quickly during the warm season, returning calories and nutrients to lower levels of the food web. Microbial decomposers are, in essence, competing with vertebrates for carcasses, and being metabolically more active in warm months, are able to extract a greater portion of the resources from the carcass than they can during the winter. Slow decomposition in winter allows longer carcass persistence, leading to a greater number and greater diversity of scavengers. As a bonus for those who believe in human primacy, these same scavengers help to create a cleaner and healthier world.

note: the paper that describes this research is from the journal Ecology. The reference is Turner, K. L., Abernethy, E. F., Conner, L. M., Rhodes, O. E. and Beasley, J. C. (2017), Abiotic and biotic factors modulate carrion fate and vertebrate scavenging communities. Ecology, 98: 2413–2424. doi:10.1002/ecy.1930. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2017 by the Ecological Society of America. All rights reserved.

Treefall gaps deliver diversity

When John Terborgh began research at Cocha Cashu Biological Station in Peru back in 1974, he probably did not expect to still be working there 43 years later, doing research and publishing papers about the astounding species diversity in its tropical floodplain rainforest.

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John Terborgh leans against a fallen tree that has created a gap in the forest canopy. Credit: Lisa Davenport.

One contributor to species diversity in tropical forests is treefall gaps, which form when a mature tree falls down, opening up a gap in the overhead canopy. The most obvious change associated with treefall gaps is an increase in light that reaches the canopy floor. In comparison to the closed canopy, treefall gaps may be dryer, warmer, have increased plant transpiration rates, and may host many different species that colonize the new environment.

Treefallgap Irina Skinner

Small treefall gap in a dense rainforest. Credit: Irina Skinner

While it’s clear that gaps influence the physical environment of the forest floor, it is not clear how a changed physical environment translates to biological diversity of the treefall gap community. Comparing treefall gaps to closed canopy communities, Terborgh and his colleagues explored this relationship.

First the researchers asked whether the seed rain into tree gap communities is different from the seed rain into closed canopy communities. Seed rain describes the types and abundance of seeds that are dispersed into communities. Usually seeds are blown into communities by the wind, or enter attached to the bodies or excrement of animals. Alternatively, some seeds are autochorous – self-dispersing, in some cases aided by a change in fruit shape that causes seeds to be ejected explosively.

To do this analysis Terborgh and his colleagues needed a systematic way to measure seed rain. The researchers set up a regularly-spaced grid of small containers (seed traps) that collected a portion of the seeds that entered the community. They also needed a way to describe whether the canopy was closed, somewhat open, or very open as in a treefall gap. For each seed trap they calculated a canopy cover index (CCI), which measured the amount of vegetation found at different levels directly above the traps. A value of 0 indicated no vegetation (a completely open canopy), while a value of 6 indicated dense vegetation at all levels (a completely closed canopy).

As the graphs below indicate, there were some dramatic differences between gaps and canopies. Note that the x-axis has been log-transformed so CCI = 1 transforms to a log(CCI) = 0, and a CCI = 6 transforms to log(CCI) = 0.778. All four major groups of animal seed dispersers dispersed many more seeds into closed canopy forest than into treefall gaps. The relationship between seed abundance and canopy cover was strikingly linear for primates and small arboreal animals. This makes sense, as these animals tend to sit on trees, and spread seeds either through defecation of already eaten fruit, or by eating fruits and inadvertently spilling some seeds in the process. So very few trees in treefall gaps translates to many fewer seeds in treefall gaps, with most (76%) being blown in by the wind.

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The log abundance of potentially viable seeds (PV seeds on y-axes) collected in seed traps in relation to the log (canopy cover index) for six different types of seed dispersal agents/mechanisms.

Terborgh and his colleagues realized that differences in seed dispersal could profoundly influence the number and types of plants that were recruited into the population. Despite the scarcity of animals in tree fall gaps, most of the saplings (79%) that recruited into gaps were animal dispersed, whereas wind-dispersed species made up only 1% of the saplings.

Sapling species diversity was greater under a closed canopy.

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Sapling species diversity (measured as log(Fisher’s alpha)) in relation to canopy cover (measured as log (canopy cover index)).

Though species diversity was lower in tree fall gaps in comparison to the closed canopy, species composition (the types of species found there) was very different in treefall gaps. There were many species that recruited only under gaps, and were never found under a closed canopy. Interestingly, there is good evidence that the small treefall gaps in this study recruited a different set of tree species than do larger treefall gaps, which tend to recruit species that do best under conditions of very bright sunlight. Thus the researchers conclude that treefall gaps, small and large, offer a wide range of environmental conditions not found in the closed canopy,  that ultimately help to promote astoundingly high tropical forest tree diversity.

note: the paper that describes this research is from the journal Ecology. The reference is Terborgh, J., Huanca Nuñez, N., Alvarez Loayza, P. and Cornejo Valverde, F. (2017), Gaps contribute tree diversity to a tropical floodplain forest. Ecology, 98: 2895–2903. doi:10.1002/ecy.1991. Thanks to the Ecological Society of America for allowing me to use figures from the paper. Copyright © 2017 by the Ecological Society of America. All rights reserved.

Blinded by the light: victims of the night

In late October, the municipality of Buenavista del Norte on the Canary Island of Tenerife, celebrates the day of the Virgin of Los Remedios, including, among other features, a big light display. As a child, Airam Rodríguez noticed that many shearwaters would also drop in (literally) for the festivities, attracted by the bright lights, but unable, in many cases, to get back in the air. Many of these shearwaters died from a variety of causes, including the impact of flying into the ground, dehydration, predation and poaching. As an adult, Rodríguez collaborated with researchers around the world to evaluate the scope of light-induced shorebird fallout.

short-tailed-shearwater-fledgling-grounded-by-lights-photo-airam-rodrc3adguez.png

Fallout victim: grounded Short-tailed Shearwater. Credit: Airam Rodríguez

The researchers began their work by searching a science citation index – the Web of Science – for articles on light-induced seabird mortality. They used references from these articles to find additional articles. In addition, they used the internet and social media to find programs in which citizens are encouraged to report grounded birds, and contacted people associated with these programs to get qualitative and quantitative data.

Rodríguez and his colleagues discovered light induced seabird fatality on 47 islands, three continental locations and across all of the world’s oceans. Of 115 species of burrow-nesting petrels, 56 have been reported as grounded by light. Several other groups of birds, including puffins, auklet and eiders also suffer from light-induced fallout, and it is very likely that more species are unreported.

RodriguezFig1

Numbers of reported grounded seabird fledglings across the globe.  Circle size = numbers of birds  reported. Numbers = number of species affected. Circle color = IUCN (endangerment) category for each species as follows: CR = critically endangered, EN = endangered, VU = vulnerable, NT = near threatened, LC = least concern.

Of deep concern is that 24 species are globally threatened. In addition, fallout has been reported at sea, induced by lights used for fisheries and by lights on oil platforms. All of the studies of light-induced fatalities on land documented the highest mortality in fledglings that are grounded during their first flights from their nests toward the ocean.

RodriguezFig2

Numbers of species of threatened seabirds that were rescued across the globe.  Numbers were not available for species with ? symbol.

Researchers don’t know why birds are attracted to lights. Perhaps birds view lights as a source of food; for example some species eat bioluminescent prey. Alternatively, as cavity-nesting birds, the only light these chicks see is from their burrow entrance, particularly when their parents bring in food, so the fledglings might confuse light with a food source. Lastly, artificial lights might override any celestial light cues the birds normally use for navigation, confusing them and causing them to crash to the ground. Supporting this hypothesis, seabirds generally don’t crash into lights, which might be expected if they mistook a light for bioluminescent prey.

Cory's shearwater fledgling at their nest at Tenerife Canary Islands. Photo by Beneharo Rodríguez

Fledgling Cory’s Shearwater first sees the light of day after emerging from its burrow at Arona on southern Tenerife Island. Credit: Beneharo Rodríguez

So what can be done about this problem? Accurate data are hard to come by, as many estimates of fallout-induced mortality come from relatively untrained volunteers, who are less likely to report dead birds. As one example, on Kauai, surveys from a general public rescue program for Newell’s Shearwaters identified 7.7% mortality, whereas later systematic surveys by trained researchers indicated 43% mortality. In some rescue operations, birds are banded and released, which, in theory, allows researchers to estimate the survival rate of rescue birds, but, in practice, these data are usually insufficient for accurate estimates

Rodríguez and his colleagues recommend a multipronged approach to combat seabird fallout. Individuals grounded by artificial lights can be rescued so they don’t succumb to the common causes of death – dehydration, predation and vehicle collision. In many cases the general public takes birds to designated rescue stations, where they are cared for until judged to be ready to release. The first rescue program was set up on Kauai in 1978; since then, people working for 16 rescue programs have released over 40,000 birds.

Release of a grounded shearwater. Photo Nazaret Carrasco (1)

Beneharo Rodríguez releases a Cory’s Shearwater from a cliff at Buenavista del Norte on Tenerife Island. Credit: Nazaret Carrasco.

The birds would be best served if humans behaved in ways that minimized fallout. Researchers need to learn more about why birds are attracted to artificial lights so engineers can develop outside lights that don’t attract them. Existing lights can be turned off when not needed, and dimmed when they are essential. Special accommodation can be made for unusual cases; for example in Cilaos, Reunion, Indian Ocean, streetlights are turned off during the fledging period of Barau’s Petrel. Lights can also be shielded so they illuminate an area for humans, but minimize the light visible to birds. Degraded nesting and breeding habitat can be restored to help compensate for birds that are lost to fallout. Lastly, conservation efforts should benefit the local economies so that residents will be more likely to support conservation initiatives, such as reduced evening lighting, that they might otherwise oppose.

note: the paper that describes this research is from the journal Conservation Biology. The reference is Rodríguez, A., Holmes, N. D., Ryan, P. G., Wilson, K.-J., Faulquier, L., Murillo, Y., Raine, A. F., Penniman, J. F., Neves, V., Rodríguez, B., Negro, J. J., Chiaradia, A., Dann, P., Anderson, T., Metzger, B., Shirai, M., Deppe, L., Wheeler, J., Hodum, P., Gouveia, C., Carmo, V., Carreira, G. P., Delgado-Alburqueque, L., Guerra-Correa, C., Couzi, F.-X., Travers, M. and Corre, M. L. (2017), Seabird mortality induced by land-based artificial lights. Conservation Biology, 31: 986–1001. Thanks to the Society for Conservation Biology for allowing me to use figures from the paper. Copyright © 2017 by the Society for Conservation Biology. All rights reserved.

River restoration responses

The Lippe River in Germany has been subjected to many decades of channelization, deepening, floodplain drainage, straightening and consequent shortening, with one result being that the modern Lippe is 20% shorter than it was two centuries ago. Beginning in 1996, conservation managers began reversing this trend by widening the river, raising the level of the river bed, constructing small islands within the river and terminating floodplain drainage operations over a stretch of 3.3 km. As a result of these activities, a small portion of the river looks much like it did 200 years ago.

rivrestfig1

A section of the Lippe River before (left) and after (right) restoration.

Over a 21-year period, researchers from Arbeitsgemeinschaft Biologischer Umweltschutz have conducted systematic surveys of fish communities at the restored and unrestored sections of the river. Researchers sampled the fish community with electrofishing – inputting a direct electrical current into the river – which causes the fish to swim towards the boat where they are easily collected with nets, identified by species, and returned unharmed into the river. A data set over this length of time in association with a restoration project is very unusual; oftentimes (in part due to funding issues) only one survey is conducted to assess the fish community response to river restoration.

About eight years ago, while a postdoctoral researcher at Senckenberg Research Institute in Frankfurt, Germany, Stephan Stoll was asked to analyze some river restoration outcomes, and, as he describes, “became hooked to the topic.” To evaluate the response of the Lippe River fish community to restoration, a group of researchers headed by Stephanie Höckendorff, a Master’s student with Stoll, first asked a very simple question – how did fish abundance and species richness (the number of fish species) compare in the restored and unrestored regions of the river.

The graph below shows several striking trends. Abundance peaked about 2-3 years after restoration, declined sharply the next year, and recovered in subsequent years to about three times the abundance found in unrestored sections. Importantly, abundance varied extensively year-to-year. For example, if you had done only one survey in 2000, you would have erroneously concluded that restoration had no effect, which is why the researchers emphasize the importance of collecting data over a long stretch of time.

rivrest2a

Abundance of fish in restored (Rest-gray curve) and unrestored (Cont-black curve) sections of the Lippe River.  The gray vertical bar indicates the start of the restoration project in 1997.

Species richness increased sharply, but did not reach its peak until nine years after restoration. Again, there was extensive year-to-year variation in species richness.

rivrest2b

Fish species richness in restored (Rest-gray curve) and unrestored (Cont-black curve) sections of the Lippe River.  The gray vertical bar indicates the start of the restoration project in 1997.

Höckendorff and her colleagues were intrigued by this delay in species richness, and turned their attention to understanding what types of species benefited most from the restoration. Their analyses indicated that colonizing species, such as common minnows and three-spined sticklebacks, tended to have short life spans, early female maturity, several spawning events per year and a fusiform body shape – a body that is roughly cylindrical and tapers at both ends. Interestingly, some of the most successful colonizers took quite a long time to get well-established within the community.

Minnow

Common minnows, Phoxinus phoxinus. Credit: Carlo Morelli (Etrusko25)

Stickleback

The three-spined stickleback, Gasterosteus aculeatus. Credit: Ron Offermans

The restored habitat was highly dynamic, experiencing periodic flooding and the formation of temporary shallow bays and shifting sandbanks. These types of habitats tend to select for minnows, sticklebacks and other opportunistic species that are attracted to periodic disturbances. These opportunistic species were quick to move in, and continued to increase in abundance over time. Importantly, several rare and endangered species also colonized the restored habitat. However, large, deep-bodied, slow maturing and long-lived species did not benefit (at least over the 17 years of the survey), as these types of species are generally favored in less dynamic habitats, which are more stable and uniform.

Overall, these findings demonstrate the benefits of river restoration to the fish communities they harbor. But some species are more likely to benefit than others, and the time-scale over which recolonization occurs is highly variable. Surveys must be repeated over a long time-scale to tell conservation managers whether their restoration efforts are successful, and how they might change their future river restoration efforts.

note: the paper that describes this research is from the journal Conservation Biology. The reference is Höckendorff, S., Tonkin, J. D., Haase, P., Bunzel-Drüke, M., Zimball, O., Scharf, M. and Stoll, S. (2017), Characterizing fish responses to a river restoration over 21 years based on species’ traits. Conservation Biology, 31: 1098–1108. doi:10.1111/cobi.12908. Thanks to the Society for Conservation Biology for allowing me to use figures from the paper. Copyright © 2017 by the Society for Conservation Biology. All rights reserved.

Seagrass scourge: when nutrient enrichment reaches the tipping point

Sean Connell has watched as south Australia has lost vast expanses of kelp forest and seagrasses over the past years. One of the primary culprits associated with loss of seagrass meadows is excessive nutrients, particularly nitrogen, which enters the ecosystem with runoff, and causes an increase in algal epiphytes (epiphytes are small plants that grow on other plants). Epiphytes can negatively affect seagrass by blocking sunlight needed for photosynthesis, and indirectly, by increasing the rate of cellular respiration within the ecosystem, thus using up oxygen needed by seagrass for metabolic processes.

DolphinConnell

Two dolphins swim above a bed of seagrass off the south Australian coast.

Connell and his colleagues noticed that seagrass loss was often sudden; a large seagrass meadow would appear to be in good shape, and then it would abruptly disappear. They suggested that there might be a threshold effect in nutrient levels that seagrasses can tolerate; that these systems function well until a certain threshold in nutrient levels is crossed, above which there is an abrupt loss of seagrasses. They tested this hypothesis by subjecting plots of the seagrass Amphibolis antarctica to seven different concentrations of dissolved inorganic nitrogen (DIN) over a 10 month period, and monitored the abundance of epiphytes and seagrass over that timespan.

The meadows were about two km offshore from Lady Bay, Fleurieu Penninsula, Australia, in about 5 meters of water. Different amounts of nitrogen fertilizer were wrapped in nylon bags (for slow continuous release of DIN) and staked to the ocean floor. Amphibolis antarctica grows by producing new leaves at the top of each leaf cluster, but at the same time it drops old leaves. Leaf turnover, the researchers’ measure of growth, is simply new leaf production minus old leaf drop. The researchers tied on a small nylon cable at known locations on selected plants, noted how many leaves were above and below each tie at the beginning of the experiment, and recounted leaf number 10 months later. Finally, the researchers measured epiphyte growth by microscopically viewing a sample of seagrass leaves, and counting the number seagrass leaf cells that were covered by epiphytes.

Seagrass growth was relatively unaffected by all tested DIN levels.

ConnellFigA

Leaf production per day in relation to concentration of DIN.

However, leaf drop showed a strong threshold effect; leaf drop rates increased sharply between 0.13 – 0.15 mg/L of DIN.

ConnellFigB

Leaf drop per day in relation to concentration of DIN.

Putting these two graphs together, you can see (below) that leaf turnover switched from positive to negative at 0.13 – 0.15 mg/L of DIN. Negative leaf turnover translates to a sudden loss of seagrass at that threshold. At least in this system, at this location, 0.13 – 0.15 mg/L of DIN is the tipping point, beyond which the seagrass system suddenly goes into decline.

ConnellFig1

Leaf turnover per day (left y-axis and red data), and Epiphyte cover (% – right y-axis and green data), in relation to concentration of dissolved inorganic nitrogen.

The graph also shows that the tipping point coincides with an epiphyte cover of approximately 60%. It is possible that increased epiphyte cover may reduce seagrass photosynthetic rates (particularly in lower leaves), so that leaf turnover suddenly shifts into the negative zone, but the study was not designed to identify the underlying mechanism.

Seagrass meadows perform important ecosystem services, such as absorbing excess nutrients from the sediment, and providing habitat and food for a diverse group of grazers and indirectly, for their consumers. Thus seagrass conservation is vital. The danger here is that moderate levels of nutrients do not appear to have much effect on seagrass populations, but there is an abrupt shift to seagrass loss once the nutrient threshold is crossed. This makes the system very difficult to manage, because the loss occurs without warning. Australian ecologists have repeatedly failed to restore lost seagrass meadows, as simply reducing nutrient levels does not reverse the process. Thus anticipating seagrass loss before it happens is the most viable management solution for this critical ecosystem.

note: the paper that describes this research is from the journal Conservation Biology. The reference is Connell, S. D., Fernandes, M., Burnell, O. W., Doubleday, Z. A., Griffin, K. J., Irving, A. D., Leung, J. Y.S., Owen, S., Russell, B. D. and Falkenberg, L. J. (2017), Testing for thresholds of ecosystem collapse in seagrass meadows. Conservation Biology, 31: 1196–1201. doi:10.1111/cobi.12951. Thanks to the Society for Conservation Biology for allowing me to use figures from the paper. Copyright © 2017 by the Society for Conservation Biology. All rights reserved.