Location: Hegg Lake WMA. Start year: 2011. Echinacea pallida is a species of Echinacea that is not native to Minnesota. It was mistakenly introduced to our study area during a restoration of Hegg Lake WMA. Since 2011, Team Echinacea has visited the pallida restoration, taken flowering phenology, and collected demography on the non-native plant. We have decapitated all flowering E. pallida each year to avoid cross-pollination with the local Echinacea angustifolia. Each year, we record the number of heads on each plant and the number of rosettes, collect precise GPS points for each individual, and cut off all the heads before they produce fruits. This year, we cut E. pallida heads off on June 28th. Overall, we found and shot 224 flowering E. pallida plants, and 824 heads in total, averaging 3.7 heads per plant. These non-native plants were hearty with an average rosette count of 8 rosettes and an individual with a maximum of 65 rosettes! We did not take phenology data on E. pallida this year.
You can find more information about E. pallida flowering phenology and previous flog posts on the background page for the experiment.
Location: near exPt8. Start year: Crossing in 2011, planting in 2012Experimental plot 6 was the first E. angustifolia x E. pallida hybrid plot planted by Team Echinacea. A total of 66 Echinacea hybrids were originally planted. All individuals have E. angustifolia dams and E. pallida sires. In 2022, we visited exPt06 on June 27th visited 28 positions and found 18 living plants. No plants have flowered in this plot yet.
You can find more information about experimental plot 6 and previous flog posts about it on the background page for the experiment.
Location: Hegg Lake WMA. Start year: Crossing in 2012, planting in 2013. Experimental plot 7 is the second E. pallida x E. angustifolia plot. It contains conspecific crosses of each species as well as reciprocal hybrids, totaling 294 individuals. This summer, we visited 215 positions, and of these plants, only 119 plants were still alive. When measuring, we put pollen exclusion bags over every flowering head. There were 28 flowering plants this year, which is the most flowering plants in this plot to-date. From these 28 flowering plants, we harvested 28 heads. We have not yet used the pedigree data to see what number of these plants are hybrids or not.
You can find more information about experimental plot 7 and previous flog posts about it on the background page for the experiment.
Location: Hegg Lake WMA. Start year: 2014. Experimental plot 9 is a hybrid plot, but, unlike the other two hybrid plots, we do not have a perfect pedigree of the plants. That is because the E. angustifolia and E. pallida maternal plants used to generate seedlings for exPt9 were open-pollinated. We need to do paternity analysis to find the true hybrid nature of these crosses (assuming there are any hybrids). There were originally 745 seedlings planted in exPt9. We searched at 361 positions and found 247 living plants in 2022. When measuring, we placed pollen exclusion bags over every flowering head. Of these individuals, 49 were flowering. We harvested 109 heads from this plot!
You can find out more information about experimental plot 9 and flog posts mentioning the experiment on the background page for the experiment.
Data collected for exp679: For all three plots, we collected flowering status, rosette count, leaf length, head count and head height. All measuring data can be found in the cgdata repository (~/cgdata/summer2022/measureGood). Measuring data should be uploaded to SQL database eventually, but it is not currently there for 2022. For experimental plots 7 and 9, we also took phenology data periodically through the summer starting on June 24th and ending on August 5th, which can be found in the cgdata repository (~cgdata/summer2022/p79phenology).
Data collected for E. pallida demography: Demography data, head counts, rosette counts, GPS points shot for each E. pallida. Find demo and surv records aiisummer2022 repository. GPS coordinates can be found in demap.
In late summer 2021, we began collecting data in remnant patches of prairie to quantify fire effects on the reproduction of Big Bluestem (Andropogon gerardii). In summer 2022, we revisited the same 378 random points across 27 remnant patches and counted the number of flowering Andropogon culms rooted within 1 m of the random point. Across the 378 plots, we counted 2442 culms. The highest density we observed was 197 culms in one plot at Loeffler Corner West, which beats our record from last year, 163 culms at KJs.
We also collected seed heads from all culms within 1 m of the random points to x-ray and quantify seed set. We initially visited random points on September 8, but some of the Andropogon was not ready to harvest, so we returned a few days later. We finished harvesting on September 19. In the lab, Elif has been developing a cleaning and x-ray protocol for Andropogon. Stay tuned for more details!
Manogya harvests Andropogon at Loeffler Corner West
Start year: 2021
Location: Patches of remnant prairie in and around Solem Township, MN
Data collected: Field datasheets are located in Dropbox: ~burnRems\remAndro\fieldData2022\remAndro2022DataSheet.scanned.pdf. We still need to do data entry.
Samples or specimens collected: Seed heads collected during summer 2022 are currently in the seed dryer but will reside in Jared’s office. These samples will be cleaned, processed, and x-rayed to quantify seed set.
Products: Stay tuned!
You can read more about the Andropogon fire and flowering in remnants experiment, as well as links to prior flog entries about this experiment, on the background page for this experiment.
In summer 2021, Team Echinacea collected data on 70 Green Milkweed (Asclepias viridiflora) plants across 8 patches of remnant prairie in our study area in western MN. During summer 2022, we revisited these same individuals and found 58 additional plants. We collected demographic data on all 128 plants and harvested 52 seed pods. We will score ovules to quantify what proportion contain embryos, grow seedlings, and sow seed in western MN to propagate this species.
In addition to our reproductive and demographic work, we began collaborating with Mary Ashley and her group at the University of Illinois at Chicago to learn more about the genetic structure and mating patterns of green milkweed in fragmented prairie remnants. We collected tissue samples from 100 plants in the field. Mary’s research group is now extracting DNA and genotyping plants.
Start year: 2021
Location: Remnant patches of prairie in and around Solem Township, MN
Overlaps with:
Data collected: Spatial, demographic, and seed data are housed in the remav Bitbucket repository
Samples or specimens collected:
Seeds: 2022 harvest has been cleaned, counted, randomized, and X-rayed but still needs to be classified.
Tissue samples: tissue samples are at UIC
Products: Stay tuned!
You can read more about the Asclepias viridiflora demography, as well as links to prior flog entries about this experiment, on the background page for this experiment.
In summers 2018 and 2019, I mapped and collected leaf tissue from all individuals in the study areas and harvested seedheads from a subset of Echinacea individuals at populations in the NW corner of the study area (populations: ALF, EELR, KJ, NWLF, GC, SGC, NGC, KJ, NNWLF) to map pollen movement (see Reproductive Fitness in Remnants). To analyze patterns of gene flow, I will assess how individuals’ location and timing of flowering influence their reproductive success and distance of pollen movement. I am currently wrapping up genotyping the DNA from the leaf tissue samples and a subset of the seeds I collected. This summer, the team measured the 3-year-old seedlings from the gene flow study that are planted in exPt10. I did not do additional field work for this project this year.
A flowering Echinacea angustifolia
Start year: 2018
Location: Roadsides, railroad rights of way, and nature preserves in and around Solem Township, MN
Data collected: exPt10 measure data is in the cgdata repo.
Products: I presented a poster based on the locations and flowering phenology of individuals from summer 2018 at the International Pollinator Conference in Davis, CA this summer. The poster is linked here: https://echinaceaproject.org/international-pollinator-conference/.
In 2021, Team Echinacea established 76 transects (each 4 m long) across 32 patches of remnant prairie in the study area. We planted seeds in one randomly selected segment per transect in fall 2021 but germination trials in the lab and seedling searches in the remnants during summer 2022 revealed that we had used a bad batch of seed 🙁 In fall 2022, we repeated seed addition experiment using seed harvested in summer 2022. Jared harvested Echinacea seed heads from Nice Island and Hutching’s hills. High seed predation from Hutchings left us with 155 heads from Nice Island. Stuart, Lindsey, and Alex sowed seed within randomly selected segments in November 2022. For fall 2022, we added 12 seedling transects (beng, fern, hutch, torge) and eliminated transects at two disturbed sites with the goal of maximizing variation in fire history across the study area. We sowed seed in 84 transects across 36 remnant prairie patches in 2022.
Start year: 2021
Location: 36 patches of remnant prairie in and around Solem Township, MN
You can read more about the Fire and seedling fitness in remnants experiment, as well as links to prior flog entries about this experiment, on the background page for this experiment.
In summer 2022, I continued the interremnant crosses experiment to understand how the distance between plants in space and their timing of flowering influences the fitness of their offspring. This experiment builds on my study of gene flow and pollen movement in the remnants, asking the question of how pollen movement patterns affect offspring establishment and fitness. If plants that are located close together or flower at the same time are closely related, their offspring might be more closely related and inbred, and have lower fitness than plants that are far apart and/or flower more asynchronously. In other words, if distance in space or time is correlated with relatedness, we’d expect mating between more distant or asynchronous individuals to result in more fit offspring.
To test this hypothesis, I performed crosses between plants across a range of spatial isolation (within the same population, in adjacent populations, and in far-apart populations) in 2020. With the team’s help, I also kept track of the individuals’ flowering time to assess whether reproductive synchrony is associated with reduced offspring fitness, suggesting that individuals that flower at the same time are more closely related.
In 2021, I repeated the same hand crossing methods to assess the fitness consequences of outcrossing on 44 focal plants. However, instead of planting the offspring from these crosses as seeds, I germinated them in the growth chamber and transferred sprouts to a plug tray.
In spring 2022, with help from the team, I planted the seedlings as plugs into ExPt1. I measured the seedlings throughout the summer.
Lindsey digs a hole for an Echinacea plugA baby Echinacea!Amy plants Echinacea in ExPt1 after the burn
To learn more about Amy’s project, check out this video created by 2021 RET participant Alex Wicker.
Start year: 2020
Location: On27, SGC, GC, NGC, EELR, KJ, NNWLF, NWLF, LF
Data collected: Style shriveling and seed set and weight from crosses, start and end date of flowering, coordinates of all individuals in the populations listed above. Leaf count and height of seedlings at three points during the summer (two weeks after planting, mid-summer, and late summer).
Beginning in summer 2021, we have been studying fire effects on Liatris aspera across patches of remnant prairie in Solem Township, MN. Six of these remnants burned in spring of 2021, and five remnants burned in spring 2022. During 2022, we expanded our efforts and collected data at five additional (smaller sites). The (absurdly) high density of flowering Liatris during summer 2022 led us to establish 1 meter wide, randomly placed transects in many sites. Despite our efforts and stated goal of not mapping as many Liatris as we did in summer 2021 (when we mapped 2400+ flowering plants across 23 remnant patches), we managed to overshoot our 2021 counts by at least 33%. Yes, we mapped well over 3200 flowering Liatris during summer 2022 with but a single functioning GPS… We harvested seed from 291 randomly selected Liatris.
Start year: 2021
Location: 28 patches of remnant prairie in and around Solem Township, MN
Overlaps with: Foolishness and shenanigans
Data collected: Demographic and spatial data housed in the remla Bitbucket repo
Samples or specimens collected: Harvested seed heads have been dried and are located in Jared’s office. These need to be inventoried, cleaned, randomized, scored for seed predation, X-rayed, and classified.
Products: Stay tuned!
You can read more about the Liatris fire and flowering project, as well as links to prior flog entries about this experiment, on the background page for this experiment.
In 2022, we collected data on the timing of flowering for 1373 flowering plants (2291 flowering heads) in 23 remnant patches. We identify each plant with a numbered tag affixed to the base and give each head a colored twist tie, so that each head has a unique tag/twist-tie combination, or “head ID”, under which we store all phenology data. We monitor the flowering status of all flowering plants in the remnants, visiting at least once every three days (usually every two days) until all heads are done flowering to obtain start and end dates of flowering. In most remnants, we monitor the phenology of all flowering Echinacea. In 2022, record high flowering led us to sub-sample from select sites (namely alf, nwlf, lfe, lfw, lce, and lcw) and exclude some sites (e.g., ri, aa, and a large chunk of alf).
Linking this detailed phenology data with information about seed production will help us understand how the timing of reproduction influences pollination and reproductive fitness. Additionally, we are excited to investigate whether fire synchronizes flowering in remnant populations. Eight of the populations in which we collected phenology data were burned during spring 2022.
Start year: 1996
Location: Roadsides, railroad rights of way, and nature preserves in and around Solem Township, MN
Data collected: We managed the data in the R project ‘aiisummer2022′ and will add the records to the database of previous years’ remnant phenology records. The 2022 phenology data set needs to be cleaned and prepared for integration with phenology data from previous years and is still located in the aiisummer2022 repo.
Products: Stay tuned!
You can read more about the Flowering phenology in remnants project, as well as links to prior flog entries about this experiment, on the background page for this experiment.
After a foolhardy effort to single-handedly census every flowering Lilium philadelphicum across Solem Township in 2021 and threatening the global supply of orange pin flags in the process, Jared came to his senses and focused on Echinacea in summer 2022… oh who are we kidding, Jared mapped a bunch of lilies in summer 2022. Rather than census flowering plants, Jared established seven 60 x 40 meter plots across sites with varying burn histories and mapped all flowering plants within those study plots (N = 361 flowering individuals). Pods were harvested from 23 plants.
Echinacea who?
Start year: 2021
Location: Remnant patches of prairie in and around Solem Township, MN
Overlaps with: Sleep
Data collected: Spatial and demographic data housed in the remlp Bitbucket repository
Samples or specimens collected: Pods/seed collected during summer 2022 currently reside in Jared’s office. These seeds need to be cleaned, counted, and scored for seed set.
Products: Stay tuned!
You can read more about the Lilium fire and flowering project, as well as links to prior flog entries about this experiment, on the background page for this experiment.
Prescribed burns increase the flowering rates of Echinacea angustifolia, but what aspect of fire induces flowering? Researchers have proposed many factors, including light, heat, nutrients, decreased competition, and smoke. Applications of liquid smoke increase germination rates in many plant species, but very few studies have tested the impacts of smoke on flowering. Our smoke experiment investigates whether liquid smoke will increase flowering rates of E. angustifolia. Many members of Team Echinacea have proposed this experiment in previous years, most recently Amy and Scott in 2019. However, this is the first year of installing the experiment in the field.
Applying the smoke treatments to a flowering Echinacea!
On July 29th, Alex and I visited the Hutchings property and recorded demographic data on 100 Echinacea plants that Scott and Amy had mapped in 2019. After further discussing methods and sample size with Jared and Stuart, we revisited the Hutching’s property to find additional plants. On September 20th and 22nd, Alex, Manogya, and I mapped and recorded demographic data for 205 more plants using the GPS.
We applied the first half of the smoke treatments on October 27th and 28th, and you can read more about that trip here. We applied liquid smoke to 110 plants, exactly half basal plants and half flowering plants for a balanced experiment. We used 11 different concentrations of smoke in our applications. We plan on conducting the second half of the experiment with an additional 110 plants in the spring.
Data collected: Methods, datasheets, and treatment groups can be found in Dropbox at ~/dropbox/burnRems/smokeExPt1. All smoke demographic data collected in summer of 2022 can be found in the aiisummer2022 repo at ~/aiisummer2022/smokeExpt/smokeExpt2022DemoData.csv. This includes coordinates, flowering status, rosette count, and head count for 305 plants. Demographic data will be collected on the plants once they flower in the summer of 2023. The stake file for smoke plants can be found in Dropbox at ~Dropbox\geospatialDataBackup2022\stakeFiles2022\stakeSmokePlants.csv
Samples or specimens collected: None at the moment
Products: None…yet!
Click here to read more about the smoke experiment!
