Seagrass ecosystem recovery: Experimental removal and synthesis of disturbance studies DOI Creative Commons
Spencer J. Tassone, Carolyn J. Ewers Lewis, Karen J. McGlathery

et al.

Limnology and Oceanography, Journal Year: 2024, Volume and Issue: 69(7), P. 1593 - 1605

Published: June 27, 2024

Abstract Net global losses of seagrasses have accelerated efforts to understand recovery from disturbances. Stressors causing disturbances (e.g., storms, heatwaves, boating) vary temporally and spatially within meadows potentially affecting recovery. To test differential recovery, we conducted a removal experiment at sites that differed in thermal stress for temperate seagrass ( Zostera marina ). We also synthesized prior studies assess general patterns. Seagrass shoots were removed 28.3 m 2 plots edge central meadow South Bay, Virginia, USA. hypothesized faster where greater oceanic exchange reduces stress. Contrary our hypothesis was most rapid the matching control site shoot density 24 months. Recovery incomplete estimated require 158 Differences likely due storm‐driven sediment erosion sites. Based on data studies, which primarily monospecific , recover across broad range conditions with positive, nonlinear relationship between disturbance area time. Our indicates position affects susceptibility length Linking this finding literature synthesis suggests increased attention spatial context will contribute better understanding variation rates.

Language: Английский

Eelgrass meadow response to heat stress. I. Temperature threshold for ecosystem production derived from in situ aquatic eddy covariance measurements DOI Creative Commons

AC Berger,

Peter Berg

Marine Ecology Progress Series, Journal Year: 2024, Volume and Issue: 736, P. 35 - 46

Published: April 16, 2024

As seagrass meadows are increasingly threatened by warming oceans and extreme heating events, it is critical that we enhance our understanding of their ecosystem response to heat stress. This study relied on extensive database hourly eelgrass Zostera marina metabolism determine, for the first time, temperature stress threshold (T th ) Z . under naturally varying in situ conditions. Eelgrass was measured using aquatic eddy covariance technique a 20 km 2 meadow at Virginia Coast Reserve (USA). We constructed fitted non-linear multivariate model identify 28.6°C as above which substantial negative effects net photosynthesis occur. On average, daytime oxygen fluxes decreased 50% afternoons when T exceeded, shifted daily from metabolic balance heterotrophy therefore loss carbon. highlights vulnerability future projections.

Language: Английский

Citations

4
Seagrass ecosystem recovery: Experimental removal and synthesis of disturbance studies DOI Creative Commons
Spencer J. Tassone, Carolyn J. Ewers Lewis, Karen J. McGlathery

et al.

Limnology and Oceanography, Journal Year: 2024, Volume and Issue: 69(7), P. 1593 - 1605

Published: June 27, 2024

Abstract Net global losses of seagrasses have accelerated efforts to understand recovery from disturbances. Stressors causing disturbances (e.g., storms, heatwaves, boating) vary temporally and spatially within meadows potentially affecting recovery. To test differential recovery, we conducted a removal experiment at sites that differed in thermal stress for temperate seagrass ( Zostera marina ). We also synthesized prior studies assess general patterns. Seagrass shoots were removed 28.3 m 2 plots edge central meadow South Bay, Virginia, USA. hypothesized faster where greater oceanic exchange reduces stress. Contrary our hypothesis was most rapid the matching control site shoot density 24 months. Recovery incomplete estimated require 158 Differences likely due storm‐driven sediment erosion sites. Based on data studies, which primarily monospecific , recover across broad range conditions with positive, nonlinear relationship between disturbance area time. Our indicates position affects susceptibility length Linking this finding literature synthesis suggests increased attention spatial context will contribute better understanding variation rates.

Language: Английский

Citations

2