Summer Reading (Part 2)

Last week I wrote about my favorite new papers on mountains and phenology after a summer of scientific reading. In the second half of my top ten list, I’m highlighting some plant mysteries and best practices of 2018. 

“Plant mysteries” is a label that I’m using to lump together three plant papers that I can’t stop thinking about. They cover some of my favorite methodological quirks — historical field notes, herbarium digitization, citizen science — and two genera that I think are cool — Sibbaldia and Erythronium. The mysteries range from: Is this still here? to Why is this here in two colors?  to Can I get this specimen to tell me what else grew here? without much thematic overlap, but all three papers tell gripping stories. If nothing else, they share a strong natural history foundation and well-executed scientific writing that made for lovely hammock-reading.

“Best practices” are just that — descriptions of how we can improve our science as individuals and collectively. We can design better spreadsheets for our data and we can support gender equity in our scientific societies. I strongly recommend that all ecologists read up on both. 

Plant Mysteries

I didn’t particularly notice [trophy collecting/associated taxa/pollen color polymorphism] before, but now I can’t not see it…

1. Sperduto, D.D., Jones, M.T. and Willey, L.L., 2018. Decline of Sibbaldia procumbens (Rosaceae) on Mount Washington, White Mountains, NH, USA. Rhodora, 120 (981), pp.65-75.

I love this deep dive into the history of snowbank community alpine plant that occurs in exactly one ravine in New England (though it’s globally widespread across Northern Hemisphere arctic-alpine habitats). Over the past four decades, surveys in Tuckerman’s Ravine have documented a continuous decline in the abundance of creeping sibbaldia, and recently researchers have been unable to find it at all. This would make creeping sibbaldia the first documented extirpation of an alpine vascular plant in New England. Dr. Daniel Sperduto and coauthors revisit the photographs and notes from contemporary surveys and find that mountain alders are encroaching on the creeping sibbaldia’s snowbank habitats. These notes also include anecdotes of local disturbances like turf slumping at the sites where creeping sibbaldia used to be found. In herbaria across New England, Sperduto and coauthors discovered sheets covered with dozens of specimens — this “trophy collection activity” in the 19th century led them to calculate that “there are more than three times as many plants with roots at the seven herbaria examined than the maximum number of plants counted in the field within the last 100 years.” I am obviously partial to New England alpine plants, and I got to see Sperduto present this research as a part of an engaging plenary session at the Northeast Alpine Stewardship Gathering in April, so you could write this off as a niche interest. Despite this, I see creeping sibbaldia as a lens for considering the universal mysteries of population decline and extirpation, and the challenges of tying extirpation to concrete cause-and-effect stories. 

2. Pearson, K.D., 2018. Rapid enhancement of biodiversity occurrence records using unconventional specimen data. Biodiversity and Conservation, pp.1-12.

Leveraging herbarium data for plant research is so hot right now. But what if you could squeeze even more information from a specimen label? For example, many collectors note “associated taxa” along with the date and location of collection. The associated taxa are plants that were seen nearby, but not collected — a kind of ghostly palimpsest of the community that grew around the chosen specimen. Herbaria across the globe have spent the past decades digitizing specimens and uploading photographs of their pressed plants. In this process, the associated taxa on specimen labels are often stored in a ‘habitat’ database field. In this impressive single-author paper, Dr. Kaitlin Pearson extracts the associated taxa data from Florida State University’s Robert K. Godfrey Herbarium database with elegant code that can recognize abbreviated binomial names and identify misspellings. She then compared the county-level distributions of the associated taxa database with their known county-level distribution from floras and herbarium specimens. Incredibly “the cleaned associated taxon dataset contained 247 new county records for 217 Florida plant species when compared to the Atlas of Florida Plants.” There are plenty of caveats: the associated taxa can’t be evaluated for misidentification the way a specimen can, and lists of associated taxa are obviously subject to the same spatial biases as herbarium specimens. But this is clearly a clever study with a beautifully simple conclusion: “broadening our knowledge of species distributions and improving data- and specimen-collection practices may be as simple as examining the data we already have.” 

3. Austen, E.J., Lin, S.Y. and Forrest, J.R., 2018. On the ecological significance of pollen color: a case study in American trout lily (Erythronium americanum). Ecology, 99(4), pp.926-937.

Did you read Gelman and Hill’s Data Analysis Using Regression and Multilevel/Hierarchical Modelsin a seminar and think, this seems like an amazing resource but I’m an ecologist and examples about school children watching Sesame Street or election outcomes and incumbency for US congressional election races just don’t resonate with me? The ecological and evolutionary mystery of red/yellow pollen polymorphism is super interesting in its own right and Dr. Emily Austen and coauthors thoroughly attack this question. For me — and I’ve admitted here before that I am the kind of learner who benefits from repetition  — Austen’s statistical methods are the star. Austen demonstrates glm best practices and brings stunningly clear plant ecology examples to the Gelman and Hill framework. I would probably teach this paper in a field botany course (trout lilies are charismatic! look at this fun map of pollen color polymorphism!), but I would absolutely prefer to assign it in a statistical methods course, especially as a supplement/set of alternative exercises to Gelman and Hill. 

Best Practices

Do this…

1. Potvin, D.A., Burdfield-Steel, E., Potvin, J.M. and Heap, S.M., 2018. Diversity begets diversity: A global perspective on gender equality in scientific society leadership. PloS one, 13(5), p.e0197280.

Gender equality in biology dramatically decreases as you look up the ladder in academia — compare the gender breakdown in the population of graduate students to tenured professors and gender disparity is stark. Leadership in our field is still heavily male skewed. Dr. Dominique Potvin and her coauthors asked, is this true in scientific societies too? Scientific societies are generally more open than academic departments, and there is more transparency in the process of electing governing boards and leadership positions. Potvin and coauthors leveraged these traits to ask: what is the role of scientific societies in rectifying gender inequity? why are some societies better than others at promoting women in leadership? After considering 202 societies in the zoological sciences, they found that the culture of the society — the age of the society age, size of its board and whether or not a it had an outward commitment or statement of equality — was the best predictor of equality in the gender ratio of society boards and leadership positions. This “outward commitment or statement of equality” covered anything published on the society website — a statement, committee, or other form of affirmative action program — that “implies that the society is dedicated to increasing diversity or improving gender equality.” Of the 202 societies they studied, only 39 (19.3%) had one of these visible commitments to equality. Whether societies with high proportions of female board members were more likely to draft and publish these statements, or whether societies that invested time and energy in producing such commitments attracted more women to leadership positions is a bit of a chicken-and-egg riddle. Societies looking to reflect on their own state of gender equality can take advantage of the resource presented in Table 6: “Health checklist for scientific societies aiming for gender equality.” Assessing gender equality is kind of a low hanging fruit — and the authors encourage societies to reflect on intersectionality and race, age, ethnicity, sexuality, religion and income level as well. Basically, if a scientific society is struggling to support white women in 2018, there’s an excellent chance it is failing its brown, LGTBQ, and first-generation members to a much greater extent.

2. Broman, K.W. and Woo, K.H., 2018. Data organization in spreadsheets. The American Statistician, 72(1), pp. 2-10.

If I could send a paper in a time machine, I would immediately launch Broman and Woo’s set of principles for spreadsheet data entry and storage back to 2009, when I started my master’s project. Reading through this list of best practices made me realize how many lessons I learned the hard way — how many times have I violated the commandments to “be consistent”, “choose good names for things”, or “do not use font color or highlighting as data”? Way too many! Eventually, I pulled it together and developed a data entry system of spreadsheets that mostly conforms to the rules outlined in this paper. But, if I’d read this first, I would have skipped a lot of heartache and saved a lot of time. This is an invaluable resource for students as they prepare for field seasons and dissertation projects. Thank you Broman and Woo, for putting these simple rules together in one place with intuitive and memorable examples! 

Happy Fall Reading! 

National Parks are for the Birds

Happy National Parks week!While I tend to plan trips around plants — Thuja plicata in Olympic National Park, Lathyrus japonicas at Cape Cod National Seashore — I understand the draw of non-botanical Park residents: the iconic bison in Yellowstone, the wolves and moose of Isle Royale, the bald eagles cruising the coast of Acadia. 

Birds are among the most beloved park wildlife, and people — regular visitors, rangers and researchers alike — have been studying birds in National Parks for decades. Bird watchers are among the most consistent and prolific citizen scientists and their observations from National Parks to backyards comprise some of the largest and oldest community-based science research in the country. The most famous datasets of this kind are the Christmas Bird Count and the Breeding Bird Survey. These two datasets — covering a huge spatial area, a long species list, and over three decades of observations — allowed the National Park Service and the National Audubon Society to project bird responses to climate change across the National Park System.

Imagine you are standing in a National Park (I always imagine I am standing in Acadia). Take a moment to identify the avifauna — aka the birds — in this park. Now, zoom into the future, sometimes between 2041 and 2070. What birds are in your National Park now? Has your species list changed? Grown? Shrunk? Park managers, researchers, and bird watchers would all love to know the results from this time traveling exercise. Now, thanks to Dr. Joanna Wu and colleagues, we have these projections available! In a recent PLoS ONE paper, Wu and coauthors use the Christmas Bird Count and Breeding Bird Survey to model climate suitability for over 500 bird species. Then, they zoom into the future and look around at the projected climatic changes in 274 National Park. From this perspective in the future, they write a new species list for each park: which birds are disappearing, and which new colonizers are expected to move in. They find that most parks are likely to become more bird-y — potential colonizations will exceed extirpations, especially in the winter. 

The models of summer and winter distributions were trained on two big, old citizen science projects — the Breeding Bird Survey and the Christmas Bird Count. I asked Wu if it was coincidence that this research was grounded in community-based science, since both Audubon and the National Park Service depend on the general public for support. She writes, “these data sets were the only ones done with survey rigor at a large enough of a spatial scale to allow us to map out bird occupancy across the entire North America. It was certainly meaningful for Audubon as the compilers of the Christmas Bird Count data to rely on our community science products in a scientific study.” This shared enthusiasm between Audubon and the community of birders is reflected in the beautiful website that presents Wu's findings to the public: you can watch species turnover, click on specific parks, and look at national trends.And it’s not just that birds are charismatic fauna with huge fan bases that are obsessed with making lists (I’m looking at you, birdwatchers). Wu notes, “birds are important ecological indicators because they travel much larger distances on an annual basis (as a whole) than plants or mammals, and may thus be able to track climate better than other taxa.” So, when Wu and her colleagues project changes in bird communities at the National Parks, they are looking at the frontline of ecological changes under anthropogenic climate change.

“Though plants and mammals are shifting too, birds are indicators as they’re likely to respond first and more drastically. Of course this leads to a potential mismatch in resource availability as plants, insects, etc. respond at a different rate to climate change, leading to unforeseeable consequences.” 

Finally, I asked Wu what we can do if we live and/or work outside of a National Park. Unfortunately, Acadia is not actually home, and I wanted to know how my actual backyard fit into the bigger picture here. “Our research does show that birds are going to be on the move and the corridors between parks are important to support this change. State parks, wildlife sanctuaries, and even back yards are going to be increasingly important places for birds moving to new areas in light of climate change. One of the things we can do is planting native plants to provide resources for birds as they face unprecedented change to the climates and habitats they evolved in in the coming decades.” 

Enjoy National Park Week! Happy birding! 

Reference:

Wu JX, Wilsey CB, Taylor L, Schuurman GW (2018) Projected avifaunal responses to climate change across the U.S. National Park System. PLoS ONE 13(3): e0190557. https://doi. org/10.1371/journal.pone.0190557

Science Communication, Simple Words, and Story Telling at ESA 2016

A guest post from PLOS Ecology Reporting Fellow, Caitlin McDonough, on research from the Ecological Society of America Scientific Meeting in Ft. Lauderdale, Florida, August 7-11, 2016.

On Tuesday afternoon at the Ecological Society of America 2016 Conference in Ft. Lauderdale, FL, amid the many Latin species names and varied sub-discipline jargon, it was possible to stumble upon a session of talks about blue flyers, spring pretty flowers, God’s creatures, and animals with six legs and no bone in their back. The audience fell in love with black back wood hitters, cheered for flying friends with six legs and four wings that like sweet things and help plants with sex and was touched by the sentiment that the land had memory made up of things in the dirtand much of the memory was lost. 

This was the Up Goer Five Ignite Session, where seven brave scientists took on the challenge made famous by xkcd comic author Randall Munroe and his Thing Explainer book and presented their research using only the 1,000 most common words in the English language, originating from Munroe’s eponymous example. In the ESA session, the phylogeny of grassland plants was reduced to grasses, grasssish, smells fresh, sun flowers, fixers, and roses and climate change was described as the whole earth surface is getting more and more hot. The presenters approached their talks with a high level of creativity and humor, and the audience responded with enthusiasm, empathy, and #UpGoESA tweets.

Rebecca Barak opened the session with a high-energy summary of grassland restoration research. Her talk featured the poetic land memory line and the hilariously simplified grass phylogeny, as well as the explanation that one piece of equipment used to study seeds was the special machine that doctors use to look inside of you.

Nick Haddad asked Can I light a fire to save those damn butter flies? With surprising dexterity he wove the story of Icarus and Daedalus into his research on fire adaptation and complex species interactions. Here, we noticed how difficult it is to mark temporal change and population dynamics of a butterfly species with only the 1,000 most common words: over five tens of years the numbers of these plants have gone down to zero. The stark phrasing that people may need to kill these animals to save them was very powerful in this pared down vocabulary.

Margaret Lowman may have smuggled in a few extra words, but her talk about working with priests in Ethiopia to save sacred forests (birds eye view of trees: in the center is a round house called a church) was a refreshing reminder that there are whole communities that ecologists traditionally neglect to engage with, and these have the potential to be fruitful partnerships.

David Inouye shared research from his field site (or where he spends his time playing while not teaching) and explained phenology models by asking the audience Can we guess when that will happen? His talk featured the memorably phrased description of his Colorado field site location as the place where people over 21 can buy grass to get high. Samuel Cowell regaled us with tales of the nesting behavior of blue flyers — their propensity for stealing some wood hitter homes, but also their territorial protection of other wood hitter homes, ultimately summarizing their complex interactions as blue flyers are bad and good to the wood hitters.

Jeff Atkins’s visuals — drawings commissioned from his and his colleagues’ children — strongly resonated with the audience. Pairing crayons and construction paper with the big green stuff and the small green stuff, in the mountains and the not so flat ground was a brilliant take on the simplified vocabulary.

Finally, Elizabeth Waring closed the session with her comparison of Old Green Things and New Green Things. The crowd loved her terms for nitrogen deposition (extra ground food to make green things for humans grow harder faster stronger) and greenhouse experiments (grown in a hot box, I changed how hot the grass got).

Science communication, language, and accessibility were at the center of the post-presentations discussion. Across all of the talks, the most memorable and successful Up Goer Five phrases didn’t just substitute simple words for scientific jargon, they were emotional and evocative compositions. Distilling one’s science into the 1,000 most common words was described as an opportunity to influence the connotation of common (but not top 1,000 words common) phrases with thoughtful word choice. The direct vocabulary has a sharp impact. As one audience member noted, this was not just an exercise in how good are you at using a thesaurus — the speakers found ways to be poetic, expressive, and clear.

Restricting word choice to the 1000 most common words highlights how few of our common words are ecological terms. In a way, this highlights the difficulty of science communication with the general public: our vocabularies do not always intersect. Meg Lowman wondered aloud if we could add 125 of “our words” back to the common vernacular. The loss of nature words from the Oxford Children’s Dictionary and our vocabulary in general has been noted. Is this a crusade for ecologists? What are the 125 words that we most miss? And what can we do to reintroduce these into words so that the next generation of Up Goer Five ecologists has the ability to say “trees”? 

Great story telling was not limited to the Up Goer Five session. At the Wednesday night Special Session “Engaging with the Wider World True Tales Told Live” four ecologists were given the whole range of the English language to speak to their experiences in diverse forms of engagement. During his tale Matthew Williamson confessed to fellow story-teller and ESA President Monica Turner that years ago, in a punk rock phase, he had joined her field team as kid with a Mohawk and a bad attitude. The narratives tracked births, deaths, career changes, and community building; they reflected on intersections of creativity, courage and advocacy. There were funny moments — Monica Turner admitted “I am not Stephen Colbert!” — and deeply poignant personal stories. In beautifully crafted prose, Annaliese Hettinger described the joy, isolation, and exhaustion she found in finishing her Ph.D. within a year of the birth of her son, while caring for her dying mother who, decades before, had defended her own Ph.D. when Annaliese was an infant. There was a real sense of craving in the audience as we watched these ecologists talking about science communication. We want more examples of successful science communication, and more opportunities to practice these skills ourselves. These opportunities are at ESA; among our ranks are excellent science communicators, our meetings feature multiple workshops focused on diverse engagement opportunities, and the Up Goer Five audience passionately embraced the idea of an annual Ignite Session. Hopefully this is an areas where we can continue to build and grow. 

Caitlin McDonough MacKenzie is a PhD candidate in the Primack Lab in the Biology Department at Boston University. She spends her field seasons in Acadia National Park, Maine studying leaf out and flowering phenology and patterns of historical species loss across plant communities. Her field methods include three ridge transects that are conveniently located adjacent to beautiful running trails and carriage roads. Away from Acadia’s granite ridges, she’s interested in underutilized sources of historical ecology data including herbarium specimens, field notebooks, photographs, and old floras; the potential for citizen science in phenology research; and the intersection of science and policy.  (Follow Caitlin on Twitter @CaitlinInMaine)

Leveraging the Power of Biodiversity Specimen Data for Ecological Research

A guest post from PLOS Ecology Reporting Fellow, Caitlin McDonough, on research from the Ecological Society of America Scientific Meeting in Ft. Lauderdale, Florida, August 7-11, 2016.

Leveraging the Power of Biodiversity Specimen Data for Ecological Research at ESA 2016 While ecologists spend their graduate days troubleshooting code, writing manuscripts, and fighting with dataloggers, they often trace their roots back to a love of natural history--an acknowledgement of a childhood curiosity sparked by museums, camping trips, and backyard bug collections. This curiosity ties us ecologists to a long line of scientists, taxonomists, and collectors; we imagine that we could have sailed on the Beagle, or climbed Chimborazo, or that we would have happily canoed the wild Allagash River to botanize with Kate Furbish. On Wednesday morning, a group of 21st century ecologists presented a modern twist on these natural history dreams, with research in collaboration with these taxonomists, botanists, and collectors of the past. (A video of the session will be posted here.) 

iDigBio (Integrated Digitized Biocollections) organized this session, which brought together a diverse array of ecologists who have leveraged the power of biodiversity specimen data to approach 21st century problems in taxonomy, conservation biology, and climate change research. Each project relied on some form of biodiversity specimen data — from herbarium specimens to insect collections to marine collections — for applications ranging from restoration ecology to unraveling cryptic speciation, or creating species distribution models to tracking patterns in phenology. Recent efforts to digitize biological specimen data have sparked a renaissance in their use — pressed plants and pinned bees that once sat neglected in a dusty corner are now accessible to researchers thousands of miles away. In many cases, the 19th century collectors would likely recognize these research goals as they too were interested in species distributions,  recorded phenological events, and made observations about interactions between herbivores and plants. But, Thoreau did not geotag his field notes, and Linneaus might be surprised to find his herbarium specimen available as a jpeg. The importance of making biodiversity specimen data digitally accessible was clear from the start of the session.

Pamela Soltis noted that there are over 1,600 natural history collections in the U.S. with somewhere between one and two billion specimens. But iDigBio estimates that only 10% of biodiversity specimens are digitized. Throughout the session, presenters noted both the benefits of accessing the digitized data and the challenges of working with taxa and trophic levels that were underrepresented in the digital specimen world. Katja Seltmann lamented the lack of digitized parisitoids collections, and called out a bias towards plants and pollinators. Joan Meiners, who uses digital natural history collection specimens to investigate native bee conservation, showed a graphic of the low proportion of digitized bee specimens at major U.S. insect collections. The next speaker, Francois Michonneau, topped both of their complaints with an example of a historic sea cucumber collection that had been preserved in pieces, the equivalent of an ornithologist placing a beak and talons in a glass bottle and calling it a bird collection.  It is clear that the biodiversity specimens that are digitized are inspiring new research. Emily Meineke shared the origin story of her herbaria research: her project began in her kitchen. While flipping through old specimen data online during a procrastination jag, she noticed herbivory damage captured in one of Linnaeus’ specimens. With a little more digging, she found evidence of herbivory in many specimens — leaf mines, chewing damage, and galls — as well as actual insects preserved in the old leaves. Another example of unintentional data captured in herbarium specimens is Amanda Gallinat’s fruit phenology study. She found over 3,000 specimens comprising 55 species in seven major New England herbaria that contained mature fruit pressed among the plant material. Just as Meineke realized that herbaria offer unprecedented opportunities to understand what factors drive herbivory rates across large spatial and temporal scales, Gallinat was able to assess patterns in fruiting across native and invasive species at a regional scale from the 19th century to the present. Meineke has begun surveying for herbivory damage in the Harvard University Herbarium collection, but she is also working to make this a citizen science project called Bite Marks in the Zooniverse. Soon everyone will have the opportunity to look at herbivory damage while procrastinating in their kitchens! 

In addition to the diverse research that has emerged from digitized biological specimens, this session provided some practical advice for all ecologists. Pamela Soltis presented Charlotte Germain-Aubrey’s project “Using museum data for species distribution modeling: The case of plants in Florida” and provided a thoughtful behind-the-scenes look at the building of a maximum entropy model. She deliberately explored the process behind decisions about climate data (e.g. average climate vs. climate data from the year of collection for each specimen), the area in which the model trains, smoothing response curves, and the number of background points. François Michonneau closed his talk with a great overview of his best practices for instituting data quality checks in R code workflow. While these skills are typically missing from our training, he stressed the importance of building a culture of documentation and replication, recommending courses from datacarpentry.org. Katelin Pearson showed that the collector community — a group that is regularly in the field, well-trained to recognize patterns and norms, and communicate with other experts — currently lacks the protocols and the semantics to document outliers in a consistent, meaningful way. This community has great potential to detect outliers in phenology, distribution, ecology, behavior, morphology, but at the present there is no direct feed between the collectors and ecologists who are tracking changes or outliers.

Finally, Libby Ellwood closed the session with an overview of iDigBio’s citizen science projects to engage the public in the work of digitizing the many, many biological specimens that are not yet a part of the digital record. 

Caitlin McDonough MacKenzie is a PhD candidate in the Primack Lab in the Biology Department at Boston University. She spends her field seasons in Acadia National Park, Maine studying leaf out and flowering phenology and patterns of historical species loss across plant communities. Her field methods include three ridge transects that are conveniently located adjacent to beautiful running trails and carriage roads. Away from Acadia’s granite ridges, she’s interested in underutilized sources of historical ecology data including herbarium specimens, field notebooks, photographs, and old floras; the potential for citizen science in phenology research; and the intersection of science and policy.  (Follow Caitlin on Twitter @CaitlinInMaine)