Folks in the lab are pursuing a number of different innovative projects right now, ranging from understanding how environment contributes to the evolution of new species in the Tropics to how water moves through landscapes. What is interesting is how many of those innovative projects are leaning on very classic methods - we are measuring soil texture, quantifying stem anatomical traits, and counting stomata. Looking forward to seeing the results! 

​How do we know that what we observe at one location holds true at another?
 
For the past three years, my collaborators and I have been studying the spatial patterns in stable isotopes of water as they move through forest ecosystems. My hope was that looking at variations in space would reveal something variations in time cannot – the application of stable isotopes water to ecohydrology has long been focused on repeatedly sampling the same location. The first three papers are now a matter of public record, largely thanks to the efforts of Scott Allen, Sabine Braun, James Kirchner and Rolf Siegwolf, with a few more papers on the way.
 
I had hoped that we would gain some fundamental insights into process. For instance, can sampling spatial variation in soil water isotopes tell us more about how soil characteristics contribute to variation? However, what has captured my attention is very different:
 
-Many applications of stable isotopes of water benefit from spatially and temporally explicit estimations of precipitation inputs. Interpolated maps of precipitation isotopes have become a fundamental tool. In a paper published in Geophysical Research Letters, Scott Allen develops a method using sine curve functions to describe the temporal patterns in precipitation isotopes across the entirety of Switzerland, then maps each of the three sine curve parameters (amplitude, phase, and offset). Each parameter contains compelling information: amplitude describes the strength of the seasonal cycle, phase describes the timing of the peak values, and offset describes the mean values. Beyond the many existing applications of precipitation “isoscapes,” I cannot wait to see how the community uses this new information.
 
-For a long time, we have been using variation in stable isotopes of water in the soil and comparing it to stable isotopes of water in plants as a means of inferring something about the depth of plant water uptake. In a paper in Hydrology and Earth Systems Sciences (currently in open review), Scott Allen develops a new index of plant source water that I believe much more accurately reflects what we are measuring – the seasonal origin of the water being taken up by plants. This approach is agnostic to the current debate about the methodological concerns of soil water isotope extraction. Moreover, I am hoping that it will reframe and advance the field in new directions. This is not to say that the results of the study– over 900 trees at 182 sites across the entirety of the country of Switzerland –are not incredibly compelling in and of themselves….
 
-At the beginning of this post, I posed a question. How do we know that what we observe at one location holds true at another? How do we know that the soil water isotopes sampled in one location are similar to those 5 m distant, 50 m distant, or 500 m distant. This is of critical import because we frequently use soil water isotopes sampled at one location as the foundation for inferring the depth of root water uptake among any number of neighboring trees. On average, studies have sampled 4 replicate individuals of 3 different plant species and matched them with 3 replicate soil profiles (n = 76 studies from 2010-2016; Evaristo & McDonnell, 2017). We hope that those 3 soil profiles are representative. In a study I led in the journal Ecohydrology, we demonstrate that accurately characterizing the spatial variation (both lateral and vertical) in soil water isotopes requires considerable sampling. Our simulations show that due to tremendous variability, inferences of root water uptake using two-end member mixing models (or really most of the methods reviewed in the compelling paper by Rothfuss and Javaux 2017) cannot be interpreted with confidence at our temperate forest site. We will have to hold ourselves accountable for this while interpreting research carried out to date and in designing new research in the future.
 
As always, I invite your comments and feedback. Many thanks to all of the individuals who have contributed to this research, the funding agencies that have made it possible, and the reviewers and the handling editors who have helped us effectively communicate it. 

In collaboration with Christian Ammendola from the incomparable 42Matters (Zurich, Switzerland), I recently presented at a poster on the citizen science ecosystem at the annual meeting of the AAAS. This work builds on my longstanding interest in the role of technology in facilitating informal science learning. The abstract follows below, but I'll reduce this to just a single sentence: 

There has been an incredible growth in mobile apps to facilitate citizen science, but most are unused and subsequently abandoned by the developers. 

Abstract: Citizen science has become an increasingly popular means of engaging the public in the collection of scientific data. In parallel, scientists are creating mobile platforms to facilitate their citizen science projects. Such mobile apps hold the potential to significantly increase our capacity to do scientific research, as well as our ability to provide informal science education to broad audiences. However, our understanding of the development, use, and efficacy of mobile applications for citizen science remains limited. How do we know what apps are available and how they are being engaged?  We used web crawlers to search for citizen science mobile applications on the Android and iOS platforms. We used a number of different keywords to capture all possible applications and then reviewed each one to ensure it met criteria for inclusion. We identified 138 unique citizen science mobile applications, including 48 common to both platforms. The median range of downloads for applications on the Android platform was 500-1000, indicating that very few experience widespread adoption. We also observed that more than 70% of the applications have not been updated for more than a year. This raises interesting questions regarding the return on the investment in developing these apps. As such, we searched for peer-reviewed science or science education literature associated with each application and found articles relating to only 15% of them to date. At this time, it appears that very few mobile citizen science applications are resulting in published data and that little is known about how those applications affect public engagement in science. However, of those applications with widespread adoption, analysis of the text of user reviews indicated that participants liked facilitating science, appreciated application functionality, and were engaging applications to seek scientific information. While such results are promising, there is clearly a critical need for the community to study how we engage technology for citizen science and science education, as well as translate these findings into best practices that can inform how we invest our resources in the future.  

We are soliciting for the first of two postdoctoral research associates who will drive the research for a new NSF Dimensions of Biodiversity grant. Dr. Jennifer Funk and I will advertise the second position in the coming months. 

DESCRIPTION: The Ecology and Evolutionary Biology Department (https://www.eeb.ucsc.edu/) at the University of California, Santa Cruz (UCSC) invites applications for the position of Postdoctoral Scholar under the direction of Associate Professor Kathleen Kay under a five-year NSF Dimensions of Biodiversity grant (“Biotic and abiotic drivers of Neotropical plant speciation”). The scholar will investigate the phylogeny, population genomics, and quantitative genetics of the spiral gingers (monocot genus Costus). The project is a collaboration among PIs Kathleen Kay (UCSC), Jennifer Funk (Chapman University), Carlos Garcia-Robledo (University of Connecticut), Santiago Ramirez (UC Davis) and Dena Grossenbacher (Cal Poly SLO) to uncover patterns and mechanisms of speciation in a recent, rapid radiation throughout Central and South America. The first years will be focused on phylogenetics and population genomics, whereas later years will be focused on QTL mapping and field testing of key traits and loci involved in adaptive divergence and reproductive isolation. Primary responsibilities include experimental design, coordinating and conducting sequence data collection, managing and analyzing large datasets, mentoring undergraduate and graduate students, coordinating research collaborators, and contributing to the dissemination of results through manuscripts, presentations, public outreach, and agency reports. Applicants with the following preferred qualifications are strongly encouraged to apply: experience generating and analyzing next gen sequence data from non-model plants, excellent bioinformatics skills, a strong interest in plant speciation and adaptation, and a track record of publishing in leading journals. The position requires excellent time management and written/oral communication skills. The scholar will be based at UCSC, with opportunities for lab exchanges and fieldwork in Costa Rica and Panama. More information on the Kay Lab can be found at https://kay.eeb.ucsc.edu/
 
ACADEMIC TITLE AND SALARY: Postdoctoral Scholar. Minimum annual salary of $48,216, commensurate with qualifications and experience. Minimum annual salary rates are made based on the individual’s Experience Level, which is determined by the number of months of postdoctoral service at any institution. See current salary scale for Postdoctoral Titles athttps://apo.ucsc.edu/compensation/salary-scales/index.html
 
BASIC QUALIFICATIONS: Ph.D. or foreign equivalent in Biology or related field, as well as a minimum of two years experience in phylogenetic and/or population genetic laboratory research.
 
POSITION AVAILABLE: April 1, 2018. Start date could be as late as October 1, 2018. Ph.D. must be in hand at time of the initial appointment.
 
MAXIMUM DURATION OF SERVICE IN A POSTDOCTORAL TITLE: Postdoctoral Scholar appointments are full-time; the initial appointment is for two years, with the possibility of reappointment. Reappointment will be contingent upon positive performance review and availability of funding. The total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at any institution. Under limited circumstances, an exception to this limit may be considered, not to exceed a sixth year.
 
APPLICATION REQUIREMENTS: Applications should be emailed to Kathleen Kay kmkay@ucsc.edu. All documents and materials must be submitted as PDFs. Please refer to Position # EEB Postdoctoral Scholar-18T in all correspondence. Informal inquiries may be sent to kmkay@ucsc.edu
 
Documents/Materials:
​Cover letter describing past research experience and qualifications for this position (required)
Current curriculum vitae (required)
A list of three references that includes their contact information (required)
Up to three copies of published manuscripts-submitted as separate pdfs (required)

There is a new version (1.3) of Plant-O-Matic available on the iTunes store. The update focuses on the user experience, including two new key features:

• The ability to view a list of plant species from your own location, or choose a location from a map interface. 
• A detailed page for each plant species in the list. This includes improvements to the photos of the species and access to text describing it drawn from Wikipedia. 

​
These are modest changes a long time coming, but my hope is that they significantly improve the user experience.

​As we reported in our open access description of the methods underlying Plant-O-Matic, much of the information we make available to support the identification of the 88,000 species in the database is currently quite limited. This most recent update has revealed once again just how much of this information is missing; we have a lot of work to do in order to collate the available data and even more to do to fill the gaps where no data exists. We’re excited about the challenge. ​

I am excited to be joining the faculty in the Department of Biological Sciences in the Schmid College of Science and Technology at Chapman University in fall 2017. In addition to teaching and research, I will also direct the Grand Challenges Initiative, a new program empowering undergraduates in the sciences with the interdisciplinary critical thinking and problem-solving skills that they need to solve problems of global importance.
 
The university is really a gem – I could not be more impressed by the administration, the faculty, and the students –and is engaging in some truly innovative initatives. Campus is beautiful and we have a brand new science and technology building coming online in 2018. There is a lot to be excited about.
 
In the near-term, I am happy to serve as a host for postdoctoral research associates and visiting scientists, please feel free to reach out if you are interested. 

Leaf drip tips are one of those features of tropical rain forests that always draws the eye. Walking through the forest during a hard rain, it just seems so obvious that drip tips- long narrow tips on the end of the leaves -must be associated with....drip. 
​

In a new paper published in New Phytologist, my collaborators and I explore drip tips in the larger context of traits associated with leaf wettability. Plants in tropical rain forests frequently get wet. Wet leaf surfaces are considered bad for plant function. For instance, wet leaves have long been associated with increasing pathogen establishment and growth, decreasing rates of photosynthesis, and leaching nutrients out of the leaf. Drip tips are thought to increase the rate at which leaves dry by funneling water off of the leaf surface. 

The problem with this idea is that no one can really find any evidence that it works.

We demonstrate that drip tips do not vary with rainfall, but rather with temperature. The warmer the forest, the higher the proportion of species with drip tips. In fact, we also demonstrate that leaf water repellency, a trait that describes the hydrophobicity of the leaf surface, also does not vary with rainfall. The most hydrophobic leaves appear to occur in cold and dry environments, rather than warm wet environments where it would be beneficial to be hydrophobic.

What does all this mean? One possibility is that wet environments simply do not impair plant function as much as we might imagine. A second possibility is that we are measuring the wrong traits. 

As far as drip tips are concerned, the best evidence I can find suggests that they may simply be a function of leaf development - the formation of a long central vein followed by expansion of the remainder of the leaf.

Maybe it's time to stop calling them drip tips...

Goldsmith, G.R., L.P. Bentley, A. Shenkin, N. Salinas-Revilla, B. Blonder, R.E. Martin, R. Castro-Ccossco, P. Chambi-Porroa, S. Diaz, B.J. Enquist, G.P. Asner, & Y. Malhi. In Press Variation in leaf wettability traits along a tropical montane elevation gradient. New Phytologist DOI: 10.1111/nph.14121​

​As part of a series of plant gas exchange measurements I have been making in collaboration with Rolf Siegwolf and Lucas Cernusak, we have estimated boundary layer conductance in the Walz gas exchange system that we are using. As a contribution for the common good, I thought I would make those estimates available.
 
The estimates are made for a Walz 3010GWK gas exchange chamber with and without their new elbow flange. We measured conductance to water vapor as the evaporative flux from a saturated piece of filter paper cut into the shape of a poplar leaf with different fan speeds. To do so, we cut two pieces of filter paper, made a thin slit in one, and inserted the thermocouple between the two pieces in the leaf cuvette.
 
The results show that the new flange makes an overwhelming difference in removing the boundary layer and increasing conductance. There are modest differences in leaf size, but this is largely due to the difficulty of keeping the smaller leaf saturated at high fan speeds. Overall, these estimates may be lower than those made in other systems, particularly in comparison to smaller leaf cuvettes, but the result is still a very low resistance.
 
If you have questions or would like access to the raw data, please do not hesitate to contact me. 

​I have not thought much about how I dry my hands, beyond knowing that doing so is important for hygiene.
 
A new paper in the Journal of Applied Microbiology demonstrates that not all methods are created equal. And the differences are not what you might expect. Rather, they have to do with the extent to which bacteria and viruses become airborne based on the method- paper towel, warm air dryer or jet air dryer –that you use. The authors demonstrate that the jet air dryer they use results in a much higher concentration of bacteria in the air than other methods. This bacteria persists up to 1 meter away from the dryer in the air for about 10-15 minutes. The paper has some notable and surprising issues with statistical replication (there is spatial and temporal autocorrelation in the data and t-tests are incorrectly applied) that detracts from its credibility, but the data largely speak for themselves.
 
The implication of the study is that it is not in our best public health interest to use jet air dryers given their potential for disease transmission. There is now a critical need for additional studies with added realism – does replacing paper towel with jet air dryers in an entire university increase disease transmission?
 
I was excited by the advent of jet air dryers, particularly given the ecological implications of using paper towel, but this will certainly warrant our attention on a hot crowded planet. 
 
Kimmitt PJ & KF Redway. 2016. Evaluation of the potential for virus dispersal during hand drying: a comparison of three methods. Journal of Applied Microbiology 120:478-486.