Looking for more community science opportunities? Improve forecasts by becoming a volunteer weather observer!
Join volunteers across the U.S., Canada, and the Bahamas who report precipitation online to ensure measurements of snow, rain and hail are available for your area.
This March, the Community Collaborative Rain, Hail and Snow Network (CoCoRaHS) is recruiting volunteer weather observers as part of their “March Madness” campaign, a nationwide competition to see which state can recruit the most volunteers.
All you need to do is sign up, attend a free online training course, grab a high-quality rain gauge, and you’re ready to start measuring precipitation in your backyard.
The data you provide will help improve weather forecasting models, forecasts of river stages and flood levels on local waterways, and will inform National Weather Service thunderstorm and flash flood warnings. For more information on CoCoRaHS, contact email@example.com.
Interested in exploring additional community science opportunities? Just around the corner is Citizen Science Month, April 2023. Find other ways to get involved with locally driven or online science projects on the SciStarter Event Page. Who knows what you’ll discover!
February #SuperSnap goes to these white-tailed deer fawns spotted in Columbia County! A female deer, also known as a doe, will give birth to her young in May or June and will typically only have 1 fawn the first year of mating. In subsequent years, she will likely give birth to 2 fawns, and in rare occasions up to 3 or 4! White-tailed deer have special adaptations and behaviors to help the young survive from predators. For instance, the young have a reddish-brown coat color with small white spots, which helps them blend in with forested areas. Additionally, the doe will only visit their young 3-4 times a day to avoid leading predators to their location!
A huge thanks to Zooniverse participant @charleysangel for this #SuperSnap nomination.
Continue classifying photos on Zooniverse and sharing your favorites with #SuperSnap – your submission might just be next month’s featured photo! Check out all the nominations by searching “#SuperSnap” on the Snapshot Wisconsin Talk boards.
A Volunteer Explores The Data Dashboard
The following piece was written by OAS Communications Coordinator Ryan Bower for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
This edition of the Snapshot newsletter is focused on a new Snapshot Wisconsin product, the Data Dashboard. The Data Dashboard is an interactive tool that let’s the public explore the data that Snapshot has collected in a new and exciting way. This dashboard marks an important step towards Snapshot’s goal of making its data more accessible to the volunteers who helped collect it, as well as the public more broadly.
You can learn more about the development of the dashboard, as well as what features are currently available on it, in this edition of the Snapshot newsletter, or you can check out the dashboard for yourself at https://widnr-snapshotwisconsin.shinyapps.io/DataDashboard/.
Snapshot Wisconsin released its new data visualization tool to the public today. The tool is called the Data Dashboard and is a major step towards bringing the project full circle. The Data Dashboard offers volunteers and the public a new way to engage directly with this data, letting people choose which data they want to visualize.
At launch, the data for 18 animal species is available to explore, including how active species are during different times of the day and year and how the species are spatially distributed across the state. Data can be viewed for specific counties or statewide, and the data from maps and graphs can even be downloaded to share with others.
Christine Anhalt-Depies, project coordinator for Snapshot Wisconsin, described the intention and purpose of the dashboard. “The purpose of the dashboard is to close the loop – to make sure that people who are involved in collecting data have an opportunity to see the outputs of their work,” said Anhalt-Depies. “This first iteration of the dashboard is focused on giving the public a chance to explore data they’ve helped to generate.”
Exploring The Data Dashboard With A Volunteer
One of the best features of the Data Dashboard is that it lets people explore the wildlife in our state at their pace. The dashboard is open ended and can be explored in whatever order you want, but sometimes a guide is nice to follow along with. A member of the Snapshot team virtually sat down with a long-term Snapshot volunteer on Skype and let them explore the Data Dashboard.
Tim Sprain has been a volunteer with Snapshot Wisconsin for nearly 3 years. He hosts three Snapshot cameras in three separate counties. Sprain is a middle school teacher and uses Snapshot in his classroom to describe biology concepts in an interactive way. Sprain shared his screen with Sarah Cameron, a member of the Snapshot team and head of the educator engagement side of Snapshot. Here are some of the highlights from the discussion between Sprain and Cameron.
The Map Of Wisconsin – Counties and Ecological Landscapes
While Sprain was getting set up to share his screen, Cameron said, “One thing I like to remember when talking about the dashboard is the fact that we were literally sitting in a room at the DNR office about two years back, brainstorming how we can share the data that the volunteers were collecting back with them. We had this grand idea of a dashboard but had no idea how we were going to accomplish it. It’s been really exciting to see the progress over the years and have a product now that we can give back to our volunteers – something they can connect to.”
Sprain agreed and added, “A lot of times, people don’t have the knowledge or resources to understand what animals are in their backyard. I see this dashboard as a huge resource to educate them. My goal [as an educator] is to be a catalyst for experiential learning, and Snapshot Wisconsin is all about making sure people get a chance to be involved.”
“Years ago,” continued Sprain, “[DNR staff] pointed me towards what the DNR offers to families and students other than hunting, fishing and trapping, and I’ve kept up on the email updates that the DNR sends out. When Snapshot Wisconsin came onboard, it was a natural fit.” Sprain finished loading the Data Dashboard on his computer and was ready to explore the dashboard. Sprain started with the map of Wisconsin (on the left side of the dashboard). The map shows how many of the trail cameras in a given area have captured the selected species. The map can be broken into counties or ecological landscapes, such as the Northern highlands or Southwest savanna.
Sprain said, “I’m excited to share the map of Wisconsin with my students, because it has ecological landscapes. It will help them understand how humans and animals use different landscapes and that animals have adaptations to suit the habitat in their landscape. Habitats are the most important piece towards maintaining our rich diversity of animals and flora in the state, which is an indication of our health as humans. This awareness can help build the understanding that we are all in this together. It’s also cool that you have the ecological zones because ecological borders are more real [to wildlife] than county lines.”
Sprain hovered over the three counties he has cameras in and started clicking on different species. Sprain mentioned how he has had to use a different approach this year to incorporating Snapshot into his teaching, since Sprain’s school district is starting virtually. Sprain explained, “In a normal year, [my class and I] would take a trip in the first week of school. I take them to a forested park and ask them what they notice. The kids ask me questions [about the plant and animals they see], and I introduce Snapshot Wisconsin by showing the trail camera pictures. I ask again, ‘What is this,’ or ‘What do you see now?’”
“Often times students will recognize a deer, but they get confused when they see a coyote, fox or wolf,” said Sprain. Sprain recalled a special moment of discovery he had with his students. “When they saw a fisher, it was just the most wonderful moment of learning. They didn’t know what a fisher is, but [to them] it looked sort of like a wolverine. They couldn’t quite figure it out.” Sprain used this moment to teach his students something new about fishers. “Now, they feel this connection to knowing something that they didn’t know before about this mysterious creature living in their bluffs.”
Sprain hovered over La Crosse county specifically, since that is where the camera that saw the fisher was located. Sprain was excited to discover that there was only one camera out of 13 in the county that had seen a fisher. It was his camera.
Cameron added, “It will be really cool to share with your students that the data they helped collect got that one point out of 13 in La Crosse county. I’m also glad you mentioned fisher, because that wasn’t there [until recently.]” Fisher, as well as four other species, was added to the dashboard in response to the feedback volunteers gave during a soft launch to trail camera hosts.
Sprain joked, “You should have seen the look on the landowner when I shared the [fisher discovery] with the family. They were dumbfounded. They didn’t even know what a fisher was!”
“Oh, that’s so funny,” said Cameron. “That was one of our early and exciting findings of the project, realizing that fishers were a lot farther south in the state than we expected. We’ve had a lot of people come to us and say, ‘Wow I caught a fisher on my property! I didn’t know they were down here.’”
Why Species Were Included Or Excluded
Sprain moved on from the map and started looking more closely at the Species list next to the map. There are 18 species currently available on the dashboard – some common species and some rare like wolf and elk.
“Students always ask after all the carnivores, as well as ones that are unique like porcupine,” said Sprain. “I love that porcupine is on the list! The kids love porcupine.” Between his three cameras and a few annual field trips, Sprain’s class gets to see quite a few of our Wisconsin species. “We don’t have any wolves on our cameras yet, but I see [on the dashboard] that other cameras have picked them up in my counties… so they are there.”
Sprain and Cameron continued to discuss different animals that his students like seeing, and the conversation turned towards species that weren’t included on the species list, namely beaver.
Cameron directed Sprain to look under the species list at the blue text about missing species. Cameron said, “We thought that would be a question that would come up quite a bit, so this popup provides some extra information [on why some species were included and other excluded.]”
This popup explains the main criteria to be included on the dashboard, having a 95% accuracy rate. An accuracy rate is a measure of how often volunteers correctly classify a given species. If photos of a species are classified correctly at least 95% of the time, then that species was added to the dashboard. There is also a table with every species that Snapshot volunteers can classify, such as the partial table below. Each species on the list has an accuracy rate and explanation if it wasn’t included.
Anhalt-Depies jumped back into the conversation and said, “For species with low accuracy, we will eventually be able to provide an expert review of that species’ photos, such as badger with an accuracy of .624 [which is below the .95 or 95% cutoff]. We will be reviewing those photos and including them in a later version of the dashboard.”
The Snapshot team knows there are some classification errors in the data, but anything with an accuracy above .95 is acceptable for this purpose. Sprain ask Anhalt-Depies about the two cameras in Milwaukee county with snowshoe hare detections, and Anhalt-Depies explained that those are likely misclassified and within the 5% of the time the data was incorrect.
Sprain replied, “I like that there is a discussion of accuracy and human error. Science is not perfection, but to see these [accuracy rate] numbers… now I understand why a species wasn’t included.”
Sprain and Cameron each commented on how impressed they were overall with the accuracy of Snapshot volunteers. Cameron said, “One thing I encourage for volunteers who want to help increase their accuracy is to involve others. You [Sprain] mentioned that your students work together to classify photos. My dad calls me basically every time he checks his camera to verify that a photo is an opossum… or a racoon. Just having a couple eyes on the photos increases accuracy but also makes it a more enjoyable experience working with others.”
Sprain jumped in and added, “That is what it is all about, a social network of citizens contributing to science! Working together for a much bigger purpose but also feeling great about seeing the wilderness and ecology in the state of Wisconsin – that is the goal.”
Visualizing Animal Activity and Detection Rates
Soon, Sprain had moved on to the next section of the dashboard, the graph of animal activity. The graph, located on the right side of the dashboard, plots how many times a species has been seen at each hour of the day or each month of the year, depending on which option you choose.
“I like that you can see activity by hour or month,” said Sprain. Sprain started making connections between activity patterns he observed and known behavior of those species. Bears, for example, become more active during the spring and summer months yet are rarely seen during the winter. “I’ll ask my students the question, why are they so active during certain months? Some students think it is a difference in population size, instead of a behavioral difference like preparing for hibernation or reproduction. I get a lot of giggles in the seventh-grade classroom, but the question is very relevant to teaching animal ecology and biology.”
The graph can also be adjusted to show which hours of the day a species is more active. The dashboard shows that sandhill crane, for example, are mainly active during the day but are most active between 10:00am-1:00pm. Bird watchers could increase their chance of spotting one by using the dashboard to find its peak activity times. The same could apply to any of the 18 species shown on the dashboard.
The second tab of the activity chart shows detection rates. Initially set to show the top five species detected state-wide, the detection rate chart can show much more than you may expect. If the selected species isn’t among the top five species, it will appear as a sixth bar on the chart. Additionally, individual counties can be selected to show the data for both the state and selected county. Using these features together, Sprain was able to discover that bobcat, elk, porcupine, and wolf were detected slightly more often in Jackson county, where one of his cameras is located.
Overcoming Insufficient Data
Three counties don’t show species data and are labelled as insufficient data. These counties have less than five cameras. If enough data isn’t being pulled from cameras in a county, then the dashboard doesn’t make a lot of sense. For example, let’s say you live in a county with only one camera. If a rare species like the whooping crane walks across that camera, then that species now has a 100% detection rate (one camera out of one camera) in that county. The dashboard would give off the impression that whooping cranes were extremely common in that county, when the species is actually quite rare. This is why Snapshot requires a minimum of five cameras per county before the dashboard will show data for it. If you live in a county that is labeled as Insufficient Data, then consider hosting a camera or encouraging others to host one. There are a lot of opportunities, not only on private lands, but also on public lands to host Snapshot cameras.
Cameron said, “There are a lot of ways to get involved, no matter where you are or whether you have access to land. Snapshot is a really unique project in that there are so many ways to get involved. You could host a trail camera, classify photos online or just participate in some of the educator resources. There is a lot to explore and to offer!”
Even if you are just interested in learning about wildlife in the state, you can help out Snapshot by giving them feedback on the dashboard. There is a survey at the bottom of the dashboard for anyone, not just volunteers, to offer ideas for future versions of the dashboard. After all, the Data Dashboard is designed to help Snapshot come full circle, so they want to hear from you. While not every idea can be implemented, the major themes in the survey responses impact what the team focuses on moving forward.
Cameron reiterated, “The data dashboard isn’t just for Snapshot volunteers. It is for anyone interested in Wisconsin wildlife. Snapshot and the Data Dashboard are special because they wouldn’t be possible without our trail camera hosts and folks classifying online.”
Let’s Discover Our Wildlife Together
Snapshot’s slogan, “Let’s Discover Our Wildlife Together,” isn’t a mistake. Snapshot is a project about people (from Wisconsin and across the globe) working together to monitor our wildlife. “While we know so much about Wisconsin wildlife, there is still so much we don’t know,” said Cameron. “Having tools like this dashboard help us fill in those gaps and get a more complete picture of what is really happening in Wisconsin.”
Sprain added, “[The dashboard lets] each citizen take away a piece of Wisconsin culture and have it become a part of their life. There is no denying the presence of these animals on the cameras. That is the power of this data.”
Whatever your motivation for wanting to see Wisconsin wildlife, check out Snapshot Wisconsin’s Data Dashboard. Version 1.0 is now available to the public.
Lastly, Anhalt-Depies offered Snapshot’s hope for the future of the dashboard. “We are now at a point where the project has really good coverage across the state. Our hope is that, as the dashboard evolves, it becomes a powerful tool for decision makers,” so keep an eye out for what is available in future versions of the dashboard!
You can visit the Data Dashboard at https://widnr-snapshotwisconsin.shinyapps.io/DataDashboard/.
Connections Across Volunteer Opportunities: An Interview with Al
The following piece was written for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
Like many of our state’s residents, Snapshot Wisconsin trail camera host, Al from Marinette County, wears many hats when it comes to his involvement in Wisconsin wildlife. “I’ve been interested in wildlife since childhood, and I’ve been deer hunting for 50 years.” Al shared in an interview with the Snapshot Wisconsin staff, “[Volunteering with Wisconsin DNR] is one way for me to give back a little something, by being on committees or participating in research projects.” Al’s background meant that he was no stranger to trail cameras when he enrolled in the project, which holds true for many of Snapshot Wisconsin’s volunteers.
Back when the Snapshot Wisconsin project was only enrolling volunteers in a subset of counties, Al signed on to the waitlist for Marinette County and received one of the very first cameras deployed in northeastern Wisconsin. Al joked that if you can think of a species, it has passed in front of his trail camera. His site is frequented by many deer and bear but also joined by a larger variety including bobcats, skunks, porcupines, and more. In fact, one of his favorite memories involved spotting a sow and her two cubs as he approached his camera for a routine check.
In addition to monitoring a trail camera in Marinette County, Al has served on his local County Deer Advisory Council since the program’s inception in 2014, where he is currently the hunt/conservation club representative. Al’s history as a co-chair for the Northeastern Wisconsin Rocky Mountain Elk Foundation made him a perfect selection for this seat. In the same year that Al joined the Marinette County CDAC, he also decided to enroll his 400 acres of land in the Deer Management Assistance Program.
Just as wildlife serves as a connection between Wisconsin residents, Al is able to see the connection between the different programs that he volunteers his time for. Monitoring both a Snapshot Wisconsin trail camera and being a member of his local CDAC means that his data is making a full circle back to him, especially regarding fawn-to-doe ratios. Al shared, “Our CDAC pays close attention to all the deer metrics and is especially interested in fawn-to-doe ratios.”
Two Gray Fox Captured on Camera
Snapshot Saturdays are a weekly feature on the Wisconsin Department of Natural Resource’s Facebook page. Give them a Like to keep up with recent DNR news and to view the weekly Snapshot Saturdays.
The 29th of February is a rare and special occasion. Another rare and special occasion is capturing a stellar photo of the sly, nocturnal gray fox on a Snapshot Wisconsin trail camera.
Look closely to catch not just one, but two gray fox captured on camera by an Outagamie County volunteer!
Did you know you can view and classify photos collected from Snapshot Wisconsin cameras across the state at www.SnapshotWisconsin.org?
Maps of the Zooniverse
The following piece was written by OAS Communications Coordinator AnnaKathryn Kruger for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
The opportunity to classify photos of wildlife from across Wisconsin draws a diverse array of individuals to our Zooniverse page. Some volunteers are trail camera hosts themselves and enjoy classifying photos from other camera sites. Zooniverse also offers this opportunity to those who are unable to host a camera but still wish to participate in the project.
The maps here were created using Google Analytics data, which can anonymously record information about users who access a webpage, such as their nearest city. This data shows us that Snapshot Wisconsin reaches an audience far beyond Wisconsin, and even beyond the United States! In total, volunteers from 696 cities across 41 countries have interacted with the Snapshot Wisconsin Zooniverse page since 2016. 190 of those cities are in Wisconsin.
Each dot represents just one city, regardless of the number of individuals who accessed the site in that location. For example, the dot for the city of Madison could represent thousands of users. Zooming in on Wisconsin, we see that many dots are centered around the most populous areas, such as Madison, Milwaukee, Minneapolis and Chicago. This pattern can be attributed to the fact that these areas also host the highest concentration of suburbs.
Regardless of the volunteer’s location, each classification we receive is important to the success of Snapshot Wisconsin.
Evaluating Project Participation Through Zooniverse
The following piece was written by OAS Communications Coordinator AnnaKathryn Kruger for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
One of the easiest ways to participate in Snapshot Wisconsin is by classifying photos through a website called Zooniverse. Zooniverse is a crowdsourcing service that is accessible to anyone, anywhere, and the site has hosted Snapshot Wisconsin since 2016. Snapshot Wisconsin’s most prolific Zooniverse volunteer has contributed over 65,000 classifications to the project’s dataset. To date, 1.9 million trail camera photos have been processed through Zooniverse, and more than 7,500 different individuals have registered to participate.
Zooniverse volunteers play a pivotal role in Snapshot Wisconsin. Analyzing volunteer participation gives staff a better idea of how to effectively engage volunteers and can also offer researchers a look at how patterns in participation relate to the overall quality of the data acquired from the platform.
In the interest of exploring a quantitative assessment of volunteer participation in Snapshot Wisconsin through Zooniverse, researchers conducted a Latent Profile Analysis (LPA) of our volunteers. LPA can be used to organize a given sample size of people into groups based on observable variables, such as user activity over time. Through this, researchers were able to ascertain how many different groups of people exist in the sample, which individuals belong to which group, and what characteristics are unique to each group. This allowed researchers to hone in on specific patterns in user engagement.
Researchers identified measurable variables unique to each volunteer and their activity on Zooniverse between November 2017 and February 2019. These included the number of days each volunteer was active, time elapsed between active days, and the amount of time volunteers spent on the site on active days. From this, researchers parsed volunteers into three profiles: temporary, intermittent and persistent.
Temporary volunteers are those who exhibited rigorous participation, but only for a short period of time. Intermittent are those characterized by the significant amount of time elapsed between a relatively small number of active days. Persistent are those who demonstrated high levels of activity across the entire period examined.
Measures of accuracy specific to each group revealed that temporary volunteers demonstrate lower accuracy in their classifications compared to intermittent volunteers. Though intermittent volunteers tended to allow more time to go by between active days, the consistent practice ultimately made their classifications more accurate.
In this instance, we may turn to an old adage: practice makes perfect. It comes as no surprise that practice and accuracy are correlated, and that volunteers become better at classifying photos with more time spent doing so. In the graphic on the right, all four photos are of porcupines, though they are of varying degrees of difficulty when it comes to classification. Though classifying photos like these may be tricky at first, over time certain characteristics begin to stand out more readily – a porcupine may be identified by their lumbering gait, or the way that their quills appear from different angles and in different light. The more frequently one sees these traits, the easier they become to identify. Volunteers who participate at any level, whether temporary, intermittent, or persistent, are of great value to the project, and the more time spent on Zooniverse, the more likely that the classifications assigned to each photo are accurate.
Citizen science is an integral part of the Snapshot Wisconsin project, and is in fact core to its mission, which is to rally the knowledge and resources of citizens across Wisconsin and throughout the world to build a comprehensive and highly accurate portrait of Wisconsin wildlife. No two Zooniverse volunteers are quite the same, and each individual informs our understanding of how citizen science can be utilized effectively in research. No matter how one chooses to participate, participation alone brings us closer to our goal.
We hope you take some time to chill with those who are deer to you. Warm wishes from all of us at the Snapshot Wisconsin team!
Exploring the Plant Side of Citizen Science
In the state of Wisconsin, we are lucky to have so many people who take interest in our natural resources. From the Snapshot Wisconsin project here at the Department of Natural Resources, to university professors conducting environmental research, to individual Wisconsinites, there’s no shortage of people who care.
Before I started working with the Snapshot Wisconsin team, I was fortunate enough to participate in another research project. The goal of the project was to look more closely at the impact that white-tailed deer have on Wisconsin forests when they browse on (or “eat”) sapling trees. My job was to use the Twig-Age method to help collect data across several forest patches in Southern Wisconsin, as well as to build a website to share this new method of data collection with other volunteers who wanted to participate in the research.
The Twig-Age method involves looking at a tree sapling, measuring its height, and counting the terminal bud scale scars along two of its branches. Terminal bud scale scars are what’s left behind on the twig when a bud falls off naturally during the growing process. Picture marking a child’s height on the wall each year. The more bud scale scars a twig has, the longer a twig has been able to grow without being browsed by a deer. We took hundreds of data points in order to paint a picture of what sort of browsing impacts deer were having on these forests.
While I was doing this field work, I found myself surprised by how many different species of trees we have in our forests. Usually when I walk through the woods, I don’t take the time to notice all the different plants around me. I notice the birds and the squirrels, but the plants have always been more of a beautiful backdrop. This research project gave me a stronger appreciation for the diverse vegetation that we have in our forests. I had time to get down at eye-level with these saplings and really look at them. It was like playing the part of a historian by recording the age of their twigs and whether or not a deer had eaten from them before. Each data point collected was a personal interview with a tiny tree.
By the end of the summer we created Our Wisconsin Understory, a citizen science project for monitoring deer impacts. The goal is to collect as much data as possible and to hopefully expand data points across the state. Anyone interested in learning more about the Twig-Age method and collecting data for the project can do so at the Our Wisconsin Understory website.
How It Feels to Discover a Rare Species on Camera
On Friday, April 12th, Snapshot Wisconsin volunteer John came across something extraordinary. After making routine checks of his elk cameras in Black River Falls, he headed home to upload his photos. During the standard process of review and classification, one photo in particular stood out amongst the sea of deer and turkeys. John recognized it immediately. “That’s a big white crane with a red head!” he exclaimed. “Woah, this is a whooping crane!”
John knew how rare they are, having only seen them at the International Crane Foundation in Baraboo. That was 30 years ago, when his kids were young. John wanted to verify his discovery before sharing his excitement with the Snapshot team. “I went to my smartphone to verify that I was seeing the correct animal, and I said, ‘Yup, that’s a whooping crane!’” Sure enough, not only had John captured a rare species, but he had photographed the first whooping crane in the history of Snapshot Wisconsin.
He couldn’t believe how spectacular the image was. “It was a beautiful photo! It was at 8 in the morning, and it must have just landed. It had its wings up – it looked like it was dancing in front of the camera! I thought wow, what a perfect picture.”
John has been involved in the project for one and a half years, and currently maintains five cameras in the Black River Falls elk reintroduction area. John’s passion for the outdoors and interest in Wisconsin elk motivated him to become a Snapshot Wisconsin volunteer after retirement. “I like to get out into new locations and explore. It’s kind of a spiritual experience for me to be in the outdoors.” He also appreciates the opportunity to stay active. “I get a little exercise. I don’t like to be on a treadmill, I would rather be walking in the woods and seeing things. [Snapshot Wisconsin] is a good fit for me.”
When asked about his favorite part of participating in Snapshot Wisconsin, John shared that he enjoys being in the woods, seeing the wildlife and exploring new areas. He also welcomes the challenge of finding his camera sites. “Navigation is challenging,” he explained, “finding a camera based on a certain grid coordinate is kind of exciting.”
Capturing the memorable photo of the whooping crane has only added to John’s experience as a volunteer. “I’m glad I got an animal that was interesting. I have gotten bear, wolves, and bobcats [and] of course a lot of deer and turkey. But the whooping crane was kind of the icing on the cake. I am looking forward to getting other interesting animals.”
John also recognizes how this whooping crane sighting is significant in terms of the conservation of this endangered species. When asked what it means to him to be a part of this crane’s story, John said, “It’s kind of interesting. I think my job is kind of small but sometimes it ends up being a big production. It shows how small the world is and how everybody can make a difference no matter what they do.”