Source: UNIV OF WISCONSIN submitted to NRP
WIBEE 2.0: AN INNOVATIVE APP-BASED CITIZEN SCIENCE DECISION SUPPORT SYSTEM FOR CROP POLLINATION
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1029826
Grant No.
2023-67013-39066
Cumulative Award Amt.
$749,832.00
Proposal No.
2022-08484
Multistate No.
(N/A)
Project Start Date
Feb 1, 2023
Project End Date
Jan 31, 2026
Grant Year
2023
Program Code
[A1113]- Pollinator Health: Research and Application
Recipient Organization
UNIV OF WISCONSIN
21 N PARK ST STE 6401
MADISON,WI 53715-1218
Performing Department
Entomology
Non Technical Summary
Bees and other pollinators play a vital role in both natural and agricultural settings providing the pollination services needed to produce many of the fruits and vegetables we eat. Many farmers use managed honey bees to pollinate their crops but wild bees are also excellent crop pollinators. With recent shortages of honey bees and declines in wild bees, farmers wonder if they can rely on wild bees alone to pollinate their crops. But little is known about farm-scale wild bee activity and few tools exist to help farmers make decisions about their pollination management. In this project, we will work with growers and agricultural professionals to develop a pollination management tool that provides crop-specific pollination recommendations, building on our existing WiBee: The Wisconsin Wild Bee App (pronounced "wee-bee", https://pollinators.wisc.edu/wibee), a simple smart-phone enabled tool that allows rapid, standardized observations of pollinator visits to flowers.To do this project, we will work closely with our grower and industry collaborators in three of Wisconsin's principal pollinator-dependent specialty crops: apples, cranberries, and squashes. Since these crops bloom at different times of the growing season when bee activity may vary, we will develop crop-specific observation protocols to accurately estimate the rate that bees visit each crop (objective 1). We will then take measurements in each crop to see how bee visitation rate relates to pollination outcomes such as the number of grains of pollen deposited on each flower by different groups of pollinators. Pollen deposition is a good predictor of fruit set and yield and is a direct result of pollinator visits. Together, these pieces of information will help us establish a Pollination Service Index (objective 2) which provides an estimated level of pollination that is being delivered by different pollinators on a farm. Ultimately, we will incorporate the information we gather in this project into a new and improved WiBee 2.0 app that can help farmers and crop professionals decide if they should use honey bees for pollination or if the wild bees are sufficient (objective 3). Coupled with traditional and digital outreach, training materials, we will work to make this tool useful for pollination management and how integrates with other crop-management decisions such as pest control.
Animal Health Component
30%
Research Effort Categories
Basic
10%
Applied
30%
Developmental
60%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
2053010107010%
1363085107025%
2051110107015%
2051121107015%
2051429107015%
2053110208020%
Goals / Objectives
With growing concerns about pollinator declines, fruit and vegetable growers want to know if they can rely on wild bees alone to pollinate their crops. However, we lack sufficient data at the farm-scale to assess this question and there are few tools available for growers to assist them in making pollinator-based decisions on their farms. In this integrated research and extension project, we propose to work with growers and agricultural professionals to develop an innovative pollination management tool that provides crop-specific pollination recommendations, building on the WiBee app, a simple smart-phone enabled tool that allows standardized observations of pollinator visitation to flowers.Our project has three objectives:Refine WiBee-based sampling protocols to accurately estimate bee visitation in apple, cranberry, and squash.Assess the relationship between bee visitation rate and crop pollination in apple, cranberry, and squash.Design, build, test and implement WiBee 2.0 as a pollinator/pollination decision-support system for growers of pollinator-dependent crops.Within Objective 1, we willDevelop crop-specific protocols for bee visitation and flower densityWithin Objective 2, we willMeasure single visit pollen deposition and calculate a pollination indexValidate indices of pollination with crop outcomesWithin Objective 3, we willWork with growers and crop professionals to develop and refine the decision support tool to address needs.Incorporate data/knowledge from Obj. 1 and 2 into the WiBee platformIncorporate pesticide risk information into WiBee 2.0Create and disseminate extension materials to inform pollination management and use of WiBee 2.0Together, this work will create an innovative, science-based tool for growers to inform their pollination management practices. We will work closely with our grower and industry collaborators in three of Wisconsin's principal pollinator-dependent specialty crops to ensure that our final tool is useful and effective. This project will help understand and improve agronomic outcomes, farm management, and pollinator conservation.
Project Methods
This project is organized into three interrelated objectives. Objective 1 will refine our WiBee protocol to be appropriate for each cropping system in our study, apples, cranberries, and squashes. The WiBee platform, when used by crop scouts, growers, or anyone else interested in monitoring pollinators, will generate bee visitation data (pollinator "supply"). In Objective 2, we calculate the average community-weighted pollinator demand of each crop for maximal pollination of a flower (pollinator "demand"). We will do this by first documenting the flower-visiting community using WiBee and then conducting experiments that will establish the number of visits per flower for different morpho groups of pollinators needed for full flower pollination. We will also validate the pollination service predictions with measurements of fruit set, seed number, and fruit weight. For Objective 3, we will work with growers and crop professionals to integrate the pollination information into an easy-to-use platform that will provide real-time information on the degree to which crop flowers are achieving full pollination.Obj. 1: Refine WiBee-based protocols to accurately estimate bee visitation in apple, cranberry, and squash.Activity 1: Develop crop-specific protocols for bee visitation and flower densityWith the help of crop professionals (growers, crop scouts, technical service providers) and our own crews, we will perform an extensive set of repeated surveys during peak bloom for apple, cranberry, and cucurbits (pumpkins and squashes) to better characterize the variation in pollinator visitation rates at a given survey location. From these data, we can determine optimal survey design to minimize variance in visitation rate with the least amount of effort, i.e., fewest number of samples at a site (Fijen and Kleijn 2017).We will also survey crop flower density for establishing bee visits per flower. From these we will similarly establish the optimal floral sampling design protocol, ie., the number of quadrats needed to minimize variance in the sample set.Obj. 2: Assess the relationship between bee visitation rate and crop pollination in apple, cranberry and squash.To translate WiBee visitation data into management-relevant output we need to understand how the community of pollinators active on flowers at a local farm level are contributing to the pollination needs of the flower and how that pollinator activity is related to crop outcomes. Here we measure pollination efficiency (single-visit pollen deposition, e.g, Ne'eman et al. 2009, King et al. 2022) by pollinator morpho group, calculate indices of pollination services, and associate these indices to crop outcomes. Although many studies already exist measuring single-visit pollen deposition to crop plants, we include this pieces in our study in order to match the resolution of the pollen deposition data with the morpho groups (e.g., large dark bees, small dark bees) used in the citizen science app.Activity 1: Measure single visit pollen deposition and calculate a pollination index-We will visit field sites throughout the flowering period of each crop: apple (late April/early May), cranberry (late June/early July), and squashes (July) to measure the pollination efficiency of different pollinator morpho groups (e.g., bumble bees, small dark bees, honey bees). Crop-specific single visit deposition protocols will be followed according to the literature (apple, Park et al. 2016; cranberry, Cane and Schiffhauer 2003; pumpkin, Artz and Nault 2011, Peterson et al. 2014). From these morpho group specific single visit pollen deposition values, we can calculate crop-specific, morpho-type weighted visitation needed for full pollination. Using this data in combination with data from Obj.1 and the literature, we will calculate a pollination services index, Pi, which provides an estimate of pollination success at a specific farm.Activity 2: Validate indices of pollination with crop outcomes-In order to validate the pollination service index (Pi), we will collect data on several key measures of pollination success in our focal crops including fruit set, seed number per fruit, and fruit weight as a proxy for yield (where possible). The specific metrics will vary by crop as some metrics are more relevant to management decisions in one crop than another.Obj. 3: Design, build, test and implement WiBee 2.0 as a pollinator/pollination decision-support system (DSS) for growers of pollinator-dependent crops-In Obj. 3, we will create WiBee "2.0" as a grower-specific Decision Support System (DSS) to provide a simple-to-use interface for pollinator sampling and rapid assessment of the degree to which crop pollination needs are being met. This mobile platform will also include access to other information regarding how commonly used crop management practices, such as integrated pest management strategies or pesticide use, can influence insect pollinators.Activity 1: Work with growers and crop professionals to develop and refine the decision support tool to address needs.In the first year of the project, we will hold small workshops and panels with growers and other crop professionals at winter meetings to identify ways in which pollinator/pollination information can be useful and integrated into crop management decisions. We will also hold demonstrations of the tools and ask for formal (surveys) and informal feedback on the functionality of the DSS and how it can be improved. Working with growers in an iterative fashion over the project will help understand the opportunities and limitations of the DSS. Annual meetings with our advisory board and with selected interested users will allow us to make this DSS responsive and relevant to the community of growers.Activity 2: Incorporate data/knowledge from Obj. 1 and 2 into the WiBee platform-Updates to the current WiBee platform will result in a grower-focused WiBee 2.0 system that incorporates the lessons from Obj. 1 (determine sampling protocol for select crops) and Obj. 2 (determine minimum pollinator visitation rate for fruit set). Survey data will be summarized and compared against the pollinator thresholds established in Obj. 2. The Results screen will offer information on how to interpret the outputs.Activity 3: Incorporate pesticide risk information into WiBee 2.0-We will create a crop-specific Pesticide Risk Assessment Guide for apple, cranberry, and squashes to complement and inform pollination management decisions. These documents will be created using guidelines for standard pest management practices in each crop and focus on the chemical products used before, during, and after bloom when crop pollinators are active in the local area. This will show information about the risk to bees and offer alternatives or suggestions for minimizing risk.Activity 4: Create and disseminate extension materials to inform pollination management and use of WiBee 2.0-Key to the success of WiBee 2.0 will be training growers and crop advisors how to use and interpret the tools. To accomplish this, we will create high quality training materials in the form of videos, web content, and PDF tutorials. These materials will be freely available on our website and should be applicable to regions outside of Wisconsin as well.Progress evaluation planProject progress will be evaluated on an annual basis by our Project Team and Advisory Board. Milestones for each project activity will be assessed for completion. Surveys will be taken at grower meetings to assess changes in knowledge and action as a result of our project activities.

Progress 02/01/24 to 01/31/25

Outputs
Target Audience:The target audience for this project is growers of specialty fruit crops who depend on insect pollination for agricultural production, crop scouts and other agricultural professionals who provide services for the agricultural community, and academic researchers interested in how to bridge science to practice through translational extension work aided by decision-support tools. During this reporting period, we have convened our stakeholder advisory team once after the second field season to provide an update on the second summer of work, to offer a preview of third year activities, and to obtain feedback on the process. The stakeholder advisory group includes fruit crop growers and agricultural professionals. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?In the second year of the project, we hired a field crew including two undergraduates, one recent college graduate, and a high school intern. Our international graduate student, Sumikshya KC from Nepal completed her first field season and will compile the results into her MS thesis. Sumikshya presented a poster at the Annual Meeting of the Entomological Society of America in Pheonix, AZ in Nov. 2024. How have the results been disseminated to communities of interest?In addition to the presentation at the Annual ESA conference for Entomological professional studies, we have been actively promoting the WiBee citizen science platform to a broad community through outreach events, trainings and a WiBee newsletter. The newsletter goes out to 1600+ subscribers on an approximately quarterly basis. In this reporting period, our group gave 6 WiBee-related talks to approximately 300 attendees. Garden and Green Living Expo, "WiBee: The Wisconsin Wild Bee App", Madison, WI, February 2025. Midwest Honey Bee Expo, "Where should I put my honey bees? Exploring variation in pesticide contamination, nutritional quality, and diversity of pollen collected by honey bees in Wisconsin landscapes", Waukesha, WI, January 2025 Growing Wisconsin Conference, "Estimating the contribution of wild bees to crop pollination using WiBee, a grower-based app", Hannah Gaines Day and Peter Werts, Wisconsin Dells, WI, January 2025. Entomological Society of America Annual Meeting, "Community-driven pollinator conservation: a case study using No Mow May and the WiBee app", Phoenix, AZ, November 2024. Food and Farm Exploration Center Ag After Hours, "Good Guys, Bad Guys: Protecting pollinators in production agriculture", Plover, WI, June 2024. Sun Prairie Now Mow May Initiative, "10 Actions You Can Take This Year to Help Pollinators", Cindy Burtley, Rose Daily, and Hannah Gaines Day, Sun Prairie Public Library, April 2024. What do you plan to do during the next reporting period to accomplish the goals?In the third year of the project, we will collect the final data needed for objectives 1 and 2. We will work with our collaborators to create management-relevant materials to incorporate into the WiBee app. Finally, we will work with our developer to make updates to the app to address the concerns of our grower community.

Impacts
What was accomplished under these goals? With growing concerns about pollinator declines, fruit and vegetable growers want to know if they can rely on wild bees alone to pollinate their crops. However, we lack sufficient data at the farm-scale to assess this question and there are few tools available for growers to assist them in making pollinator-based decisions on their farms. In this integrated research and extension project, we propose to work with growers and agricultural professionals to develop an innovative pollination management tool that provides crop-specific pollination recommendations, building on the WiBee app, a simple smartphone enabled tool that allows standardized observations of pollinator visitation to flowers. This tool will ultimately benefit farmers of pollinator-dependent crops by providing them with an evidence-based tool for making pollination management decisions. We anticipate that the tool will mainly be used by growers and crop professionals hired to advise growers on crop management. In the second year of this project, we continued collecting data to address objective 1 and making updates and improvements to the functionality of the WiBee app that is used for making pollinator observations. For objective 1 (refining protocols), our research crew, including 3 summer technicians, one high school intern, and 1 graduate student, along with our collaborating crop professionals collected a total of 2,015 five-minute WiBee surveys (168 hours of observation time). This included 688 surveys on apple flowers from 13 farms, 807 surveys on cranberry flowers from 11 farms, and 520 surveys on pumpkin flowers from 7 farms. Once again, honey bees were the most common visitors in apples (68% of visits) and cranberries (79% of visits) but not in pumpkins (only 12% of visits). Wild bees were observed in all crops and were the dominant visitor in pumpkins (79% of visits, primarily the squash bee Eucera (Peponapis) pruinosa). Interestingly, overall visitation rate was much lower in 2024 compared to 2023 in apple and cranberry (57% and 44% decrease respectively) but not in pumpkin (243% increase). This change was driven mainly by changes in honey bee activity and could be related to the drought conditions experienced in 2023. Objective 2 (determining pollination-crop outcomes) was a major focus in the second year of the project and is the focal project for the graduate student on the grant. In 2024, we collected two main types of data at one farm for each crop, single visit pollen deposition and fruit set. Single visit pollen deposition is a measure of how much insects are contributing to pollination in a single visit to a single flower. The field protocol involves putting mesh bags around closed flower buds until the flowers open, then removing the bag and waiting until a single insect has visited the flower. The flower is then brought back to the lab and the total number of grains of pollen are counted. We collected data on 86 single visits in apple, 80 single visits in cranberry, and 53 single visits in pumpkin. In addition, we collected open controls that measure the total amount of pollen deposited in a full day along with the associated closed controls to account for any pollen movement not attributed to an insect. By combining the visitation data collected in objective 1 with the single visit pollen deposition data in objective 2, we will be able to calculate how much pollen we expect should be deposited in a full day. To validate these calculations, we can compare the calculated numbers to the open control data as well as the fruit set data which is a proxy for pollination success. Ultimately, we plan to use this data to calculate an Index of Pollination Success which will help growers understand whether wild bees are providing sufficient pollination services to their farm or not. Objective 3 relates to developing grower-specific features in WiBee and management-relevant materials within and associated with the WiBee app. This will be a focus in the third year of the project. Over the past year we have maintained an open line of communication with our collaborators about the functionality of the app and have worked with our developer to implement updates and improvements in the app. The most recent updates in the current version of WiBee (1.56) allow the users to organize surveys by user group (e.g., research team) and survey location (e.g., farm) and then filter surveys by date, habitat type, plant, location/site, and surveyor. These improvements will give growers a quick and easy way to summarize the pollinator activity on their farm. During the second year of the project, we continued to collect baseline data that we will need in order to develop grower-relevant thresholds of pollination for our focal crops. We also worked closely with our research crew and collaborators to improve the app in order to make it more user friendly and relevant to growers. We now have two years of data that we will use to develop crop-specific protocols (obj. 1) and one year of data to build our pollination index which relates pollinator activity to crop outcomes (obj. 2).

Publications


    Progress 02/01/23 to 01/31/24

    Outputs
    Target Audience:The target audience for this project is growers of specialty fruit crops who depend on insect pollination for agricultural production, crop scouts and other agricultural professionals who provide services for the agricultural community, and academic researchers interested in how to bridge science to practice through translational extension work aided by decision-support tools. During this reporting period, we have convened our stakeholder advisory team twice, once during the initiation of the project to lay out the objectives and plan of work, and to ask for advice on decision-making processes by agricultural professionals and how our research and extension project can contribute to their work. We met a second time with the advisory team after the first field season to provide an update on the first summer of work, to offer a preview of second year activities, and to obtain feedback on the process. The stakeholder advisory group includes fruit crop growers and agricultural professionals. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?In the first year of the project, we hired an all-female field crew including three undergraduates and one recent first-generation college graduate. We also recruited an international graduate student, Sumikshya KC from Nepal to be part of the project. She will be obtaining her MS degree in the Entomology program at the University of Wisconsin. She is being mentored by Drs. Claudio Gratton and Hannah Gaines-Day. How have the results been disseminated to communities of interest?We have been actively promoting the WiBee citizen science platform to a diverse set of communities through outreach events, trainings and a WiBee newsletter. The newsletter goes out to 1600+ subscribers on an approximately quarterly basis. In this reporting period, our group gave 5 WiBee-related talks to approximately 100 attendees. What do you plan to do during the next reporting period to accomplish the goals?In the second year of the project, we will continue collecting data for objective 1 and expand our data collection for objective 2 which will be spearheaded by our new graduate student. We will continue to listen to feedback from our collaborators and implement changes to improve the user experience with the app.

    Impacts
    What was accomplished under these goals? In the first year of this project, we focused on collecting data to address objective 1 as well as making improvements to the functionality of the WiBee app that will be used for pollinator visitation observations. For objective 1 (refining protocols), our research crew including 4 summer technicians along with our collaborating crop professionals collected 1,875 five-minute WiBee surveys including 383 from apple, 903 from cranberry, and 589 from pumpkin. From these data, we found variation in the dominant pollinator visitor to these crops, with honeybees being the dominant pollinators in apple (79% of visitors) and cranberry (84% of visitors) but not in pumpkin (only 7% of visitors). Wild bees were observed in all crops, and they were dominant in pumpkins (primarily the squash bee Peponapis pruinosa). With the abundant observation information collected using WiBee, we were able to develop visitation activity curves during a day, which we found to be different across crops: peak visitation rate in apples was averaged a high of ~7 bees/minute at 2pm, 13 bees/minute at 10am for cranberry, and 1 bee/minute at 6 am for pumpkins. Objective 2 was a minor focus in the first year of the study. We collected data in each cropping system related to pollination and yield outcomes (e.g., fruit set, yield) that we can then relate to the visitation rates seen in our WiBee surveys. This objective will be a main focus for the second year of the project. Objective 3 relates to developing a grower-specific version of the WiBee tool. Throughout the first year of the project, we received feedback from our own crew and crop professional collaborators on ways to improve the user experience with the WiBee app. We have worked with our developer to implement these updates and will continue to make updates as the project progresses. Over the course of the first year of our project, we began to build the baseline data set that we need in order to develop grower-relevant thresholds of pollination levels for our cropping systems. Since we want the WiBee tool to be a useful and accessible tool for growers and crop professionals, we worked closely with our collaborators to modify our app and create protocols that are functional and usable by growers and crop professionals. We have one year of data that will be used to develop the crop-specific sampling protocols that will eventually contribute to the pollination recommendations for fruit crops.

    Publications