Matthew Lange
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CEO and Chief Science Officer
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About
Matthew Lange is the CEO and Chief Science Officer at the International Center for Food Ontology Operability Data and Semantics (IC-FOODS) in the United States. His research areas include food systems informatics, biodiversity, and the nutritional vocabulary necessary for sustainable practices in regional food systems. Recent publications highlight topics such as the integration of human wellbeing into conservation assessments and the establishment of a comprehensive milk oligosaccharide database.
Recent Grants
Grant: Close
NSF Convergence Accelerator Track J-Phase 2: Network Of User-engaged Researchers building Interdisciplinary Scientific infrastructures for Healthy food (NOURISH)
Open Date: 2024-01-01
Close Date: 2025-12-01
Grant: Open
The Growing GRASS & Climate-Smart Value-Added U.S.Commodity Markets Project (GrowingGRASSProject)
Open Date: 2023-10-01
Close Date: 2028-09-01
Grant: Open
Alliance to Catalyze Transition Incentives through Open Networks for Climate-Smart Agriculture (ACTION)
Open Date: 2023-10-01
Close Date: 2028-09-01
Grant: Close
NSF Convergence Accelerator Track J: Network Of User-engaged Researchers building Interdisciplinary Scientific infrastructures for Healthy food (NOURISH)
Open Date: 2022-12-15
Close Date: 2024-11-30
Grant: Close
NSF Convergence Accelerator Track J: Network Of User-engaged Researchers building Interdisciplinary Scientific infrastructures for Healthy food (NOURISH)
Open Date: 2022-11-01
Close Date: 2023-10-01
Articles (7)
Year:
2023
Year:
2023
Year:
2023
Systematic land use planning to address environmental impacts does not typically include human health and wellbeing as explicit inputs. We tested the effects of including issues related to human health, ecosystem services, and community wellbeing on the outputs of a standard land use planning process which is primarily focused on environmental variables. We consulted regional stakeholders to identify the health issues that have environmental links in the Sacramento, California region and to identify potential indicators and datasets that can be used to assess and track these issues. Marxan planning software was used to identify efficient land use patterns to maximize both ecological conservation and human health outcomes. Outputs from five planning scenarios were compared and contrasted, resulting in a spatially explicit series of tradeoffs across the scenarios. Total area required to meet imputed goals ranged from 10.4% to 13.4% of the total region, showing somewhat less efficiency in meeting biodiversity goals when health outcomes are included. Additionally, we found 4.8% of residential areas had high greening needs, but this varied significantly across the six counties. The work provides an example of how integrative assessment can help inform management decisions or stakeholder negotiations potentially leading to better management of the production landscapes in food systems.
Year:
2023
Year:
2022
Year:
2022
Year:
2020
Collaborators (8)
Thomas P. Tomich
University of California
Magalie Weber
Institut National de Recherche pour l'Agriculture l'Alimentation et l'Environnement
daniela barile
Professor
University of California, Davis
Patrick Huber
University of California, Davis
Song Gao
Associate Professor
University of Wisconsin-Madison
Danielle Lemay
University of California, Davis
Han-Wei Shen
Ohio State University
Ayaz Hyder
Assistant Professor
Ohio State University
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