Source: UNIV OF NORTH DAKOTA submitted to
MANAGING A SUSTAINABLE LANDSCAPE TO SUPPORT POLLINATION AND OTHER ECOSYSTEM SERVICES IN THE NORTHERN PLAINS: AN INTEGRATED ECONOMIC, SPATIAL
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
NEW
Funding Source
Reporting Frequency
Annual
Accession No.
1005776
Grant No.
2015-67020-23175
Project No.
ND.W-2014-06849
Proposal No.
2014-06849
Multistate No.
(N/A)
Program Code
A1451
Project Start Date
Feb 15, 2015
Project End Date
Feb 14, 2018
Grant Year
2015
Project Director
Zheng, H.
Recipient Organization
UNIV OF NORTH DAKOTA
(N/A)
GRAND FORKS,ND 58201
Performing Department
Earth System Science and Polic
Non Technical Summary
The overall goal is to assess the impact on honey bee health and mortality, pollination services, and multiple Northern Plain ecosystem services such as carbon storage, biodiversity, and wildlife habitat of economic land-use decisions driven by the crop market, agricultural policy, and conservation programs. We will test the following hypotheses: 1) recent land use changes in the NP have induced changes in landscape suitability for commercial-scale apiary sites and negatively influenced honey bee health and rates of mortality; 2) without additional incentives provided by conservational programs, continued changes in land-use patterns in the NP will result in deterioration of multiple ecosystem services and be unable to sustain honey bee colonies sufficient to meet the needs of the national agricultural industry; 3) alternative management schemes and policy instruments designed to benefit pollination services can generate extra values from other ecosystem services, and total economic values can balance the costs of implementing the conservation policy. We propose to: 1) Apply a geospatial model to identify landscape suitability for commercial-scale apiary sites; 2) Develop a spatially explicit economic model of land use and management practices based on landowner decision-making incorporating market and policy conditions; 3) Conduct a broad-scale field study to determine the influence of habitat quality on colony survival and provision of pollination services; 4) Quantify changes in pollinator habitat and other ecosystem services, carbon storage, biodiversity, and wildlife habitats, under alternative landuse change scenarios driven by market and policies; 5) Integrate the spatial, economic, and ecological factors and evaluate effects of different land-use scenarios on generating private returns to landowners and beekeepers, and social benefits including national commercial pollination and other ecosystem services; and 6) Identify incentives and other policies needed to induce "honey bee-friendly" land-use and management practices. The outcome from this interdisciplinary approach can help to determine better practices in managing agricultural landscapes for pollination function within the matrix of more conventional cropland and develop land-management protocols targeting for both economic efficiency and environmental sustainability
Animal Health Component
100%
Research Effort Categories
Basic
(N/A)
Applied
100%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1310120106025%
1360330107025%
3140120203025%
6050199301025%
Goals / Objectives
The overall goal of this research is to assess the impact on honey bee health and mortality, pollination services, and other related ecosystem services such as carbon storage, soil retention, and wildlife habitat of economic land use decisions driven by the crop market, agricultural policy and conservation programs.We will test the following hypotheses: 1) the recent land use changes in the Northern Plains has induced changes in landscape suitability for large apiary sites, and in turn impacted the honey bee health and mortality; 2) without additional incentives provided by conservational programs, the current land use patterns in the region driven by market will result in deterioration of multiple ecosystem services and unsustain the honey bee population to support national agricultural production; 3) alternative management schemes and policy instruments designed to benefit pollination services can generate extra values from other ecosystem services and total economic value can balance the cost of implementing the conservation policy.
Project Methods
We will use an integrated spatial, economic, and ecological approach with collaboration across different fields including biology, ecology, economics, and geography. We propose efforts to: 1) develop a geospatial model to identify landscape suitability for large apiary sites;2) develop a spatially explicit economic land-use model incorporating market and policy conditions that reflect landowner optimal decision-making on land use and management practices such as pesticide application;3) conduct a broad-scale field study to determine the influence of habitat quality on colony survival and provision of pollination services;4) use InVEST models to quantify changes in pollinator habitat and other related ecosystem services such as carbon storage, biodiversity, and wildlife habitats under alternative land-use change scenarios driven by market and policies;5) integrate the spatial, economic, and ecological factors and evaluate effects of different land-use scenarios on generating private returns to landowners and beekeepers, and social benefits including national pollination and other ecosystem services;6) identify the extra level of incentives and other policy alternatives needed to induce "honey bee-friendly" land-use and management practices.7) evaluate the full cost and benefit generated by conservation policy targeting pollination services as well as the extra benefits generated by other ecosystem services.

Progress 02/15/15 to 02/14/16

Outputs
Target Audience: Nothing Reported Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?The project partially supported three M.S. students (Daniel Dixon, Ning Li, Yeqian Xu) majoring in Earth System Science and Policy Civil to develop spatial analytical tools to quantify the impacts of land uses and pesticides application on commercial apiary sites. The project also employed 6 high school students for collecting/detecting actual used apiary sites image data from google earth with basic training and education on ecosystem services and google earth image data collection technics. How have the results been disseminated to communities of interest?Dixon, D., H. Zheng, and C. Otto (2017). "Merging insecticide useand land use change to model threats to honey beesin North Dakota" Poster Presentation, in University of North Dakota Graduate Research Symposium, March 2017, Grand Forks, North Dakota What do you plan to do during the next reporting period to accomplish the goals?1) Finalize the statistical analysis on land use and presence of apiary sites. 2) Develop the spatial explicit modeling approach to quantify the threats from pesticides application on apiary sites. 3) Finalize the modeling integrations to evaluate the impacts of land use and managements on apiary sites under various hypothetical scenarios

Impacts
What was accomplished under these goals? Over the past year, the team has conducted the following activities: 1) using geospatial and statistical tools to identify the relationship between landscape suitability and presence of registered or actual utilized apiary sites; 2) using multiple spatial and pesticides application data sets to quantify the two major threats to honey bees: loss quality forage and exposure to harmful insecticides; 3) Developing a spatially explicit economic model of land use and management practices based on landowner decision-making incorporating market and policy conditions; 4) Integrating the results from the statistical model and land use model to evaluate the landscape suitability and carrying capacity for supporting commercial-scale apiary site under various policy scenarios; 5) continuing with the annual effort in collecting field data to analyze and determine the influence of habitat quality on colony survival and provision of pollination service; 6) Imagery data collection efforts have been made using google earth engine by either human-eye detection and machine deep learning technology.

Publications