Major

Environmental Science

Anticipated Graduation Year

2025

Access Type

Open Access

Abstract

Global change impacts diverse ecosystems in ways that can be context-dependent, where ecological relationships depend on context. Despite independent studies capturing context-dependent impacts, a global understanding of patterns of context-dependence is lacking. As part of a wider effort by the Women of Color in Ecology and Evolutionary Biology (WOCinEEB) Global-Change subgroup, we report on an ongoing systematic literature review that examines context-dependent effects of global change, such as climate-change and biodiversity loss, within marine (66 articles) and agroecological ecosystems (71 articles). We aim to systematize data to uncover geographic patterns, stressor-specific impacts, and degree of context dependence across different ecosystems.

Community Partners

Women of Color in Ecology and Evolutionary Biology (WOCinEEB)

Faculty Mentors & Instructors

Dra.Marlene Brito-Millán

Supported By

Dr. Yaamini Venkataraman (Woods Hole Oceanographic Institution), Dr.Chandra Jack (Clark University), Graduate Student Samia Riaz (Clark University)

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Patterns of Context-dependent Global Change in Agroecology and Marine Neritic and Benthic Ecosystems - A Systematic Review

Global change impacts diverse ecosystems in ways that can be context-dependent, where ecological relationships depend on context. Despite independent studies capturing context-dependent impacts, a global understanding of patterns of context-dependence is lacking. As part of a wider effort by the Women of Color in Ecology and Evolutionary Biology (WOCinEEB) Global-Change subgroup, we report on an ongoing systematic literature review that examines context-dependent effects of global change, such as climate-change and biodiversity loss, within marine (66 articles) and agroecological ecosystems (71 articles). We aim to systematize data to uncover geographic patterns, stressor-specific impacts, and degree of context dependence across different ecosystems.