Is our understanding of aquatic ecosystems sufficient to quantify ecologically driven climate feedbacks?
Year: 2024
Type: article
Abstract: The Earth functions as an integrated system-its current habitability to complex life is an emergent property dependent on interactions among biological, chemical, and physical components. As global warming affects ecosystem structure and function, so too will the biosphere affect climate by altering atmospheric gas composition and planetary albedo. Constraining these ecosystem-climate feedbacks is essential to accurately predict future change and develop mitigation strategies; however, the interplay among ecosystem processes complicates the assessment of their impact. Here, we explore the state-of-knowledge on how ecological and biological processes (e.g., competition, trophic interactions, metabolism, and adaptation) affect the directionality and magnitude of feedbacks between ecosystems and climate, using illustrative examples from the aquatic sphere. We argue that, despite ample evidence for the likely significance of many, our present understanding of the combinatorial effects of ecosystem dynamics precludes the robust quantification of most ecologically driven climate feedbacks. Constraining these effects must be prioritized within the ecological sciences for only by studying the biosphere as both subject and arbiter of global climate can we develop a sufficiently holistic view of the Earth system to accurately predict Earth's future and unravel its past.
Source: Global Change Biology
DOI: 10.1111/gcb.17351
Institutions: Rutgers, The State University of New Jersey, TU Bergakademie Freiberg, New England Aquarium, Harvard University, Victoria University of Wellington, National Oceanic and Atmospheric Administration, NOAA Office of Habitat Conservation, University of New Hampshire, University of Connecticut, University of New England, University of Copenhagen
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
Estimated APC paid: $4,330
Funder: National Science Foundation
OpenAlex ID: W4399323345
