Matthew Lange

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CEO and Chief Science Officer

International Center for Food Ontology Operability Data and Semantics (IC-FOODS)
Country flagUnited States

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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

UNITED STATES
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Magalie Weber

Institut National de Recherche pour l'Agriculture l'Alimentation et l'Environnement

FRANCE
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daniela barile

Professor

University of California, Davis

UNITED STATES
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Patrick Huber

University of California, Davis

UNITED STATES
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Song Gao

Associate Professor

University of Wisconsin-Madison

UNITED STATES
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Danielle Lemay

University of California, Davis

UNITED STATES
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Han-Wei Shen

Ohio State University

UNITED STATES
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Ayaz Hyder

Assistant Professor

Ohio State University

UNITED STATES
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