Life Sciences Commons^™

Guidelines For Model Adaptation: A Study Of The Transferability Of A General Seagrass Ecosystem Dynamic Bayesian Networks Model, Paula Sobenko Hatum, Kathryn Mcmahon, Kerrie Mengersen, Paul Pao Yen Wu

Research outputs 2022 to 2026

In general, it is not feasible to collect enough empirical data to capture the entire range of processes that define a complex system, either intrinsically or when viewing the system from a different geographical or temporal perspective. In this context, an alternative approach is to consider model transferability, which is the act of translating a model built for one environment to another less well-known situation. Model transferability and adaptability may be extremely beneficial—approaches that aid in the reuse and adaption of models, particularly for sites with limited data, would benefit from widespread model uptake. Besides the reduced effort required to …

Seagrass Blue Carbon Stocks And Sequestration Rates In The Colombian Caribbean, Oscar Serrano, Diana I. Gómez-López, Laura Sánchez-Valencia, Andres Acosta-Chaparro, Raul Navas-Camacho, Juan González-Corredor, Cristian Salinas, Pere Masque, Cesar A. Bernal, Núria Marbà

Research outputs 2014 to 2021

Seagrass ecosystems rank amongst the most efficient natural carbon sinks on earth, sequestering CO2 through photosynthesis and storing organic carbon (Corg) underneath their soils for millennia and thereby, mitigating climate change. However, estimates of Corg stocks and accumulation rates in seagrass meadows (blue carbon) are restricted to few regions, and further information on spatial variability is required to derive robust global estimates. Here we studied soil Corg stocks and accumulation rates in seagrass meadows across the Colombian Caribbean. We estimated that Thalassia testudinum meadows store 241 ± 118 Mg Corg ha−1 (mean ± SD) in the top 1 m-thick soils, …

What Lies Beneath: Predicting Seagrass Below-Ground Biomass From Above-Ground Biomass, Environmental Conditions And Seagrass Community Composition, C. J. Collier, L. M. Langlois, Kathryn M. Mcmahon, J. Udy, M. Rasheed, E. Lawrence, A. B. Carter, M. W. Fraser, L. J. Mckenzie

Research outputs 2014 to 2021

© 2020 Seagrass condition, resilience and ecosystem services are affected by the below-ground tissues (BGr) but these are rarely monitored. In this study we compiled historical data across northern Australia to investigate biomass allocation strategies in 13 tropical seagrass species. There was sufficient data to undertake statistical analysis for five species: Cymodocea serrulata, Halophila ovalis, Halodule uninervis, Thalassia hemprichii, and Zostera muelleri. The response of below-ground biomass (BGr) to above-ground biomass (AGr) and other environmental and seagrass community composition predictor variables were assessed using Generalized Linear Models. Environmental data included: region, season, sediment type, water depth, proximity to land-based sources …

Top 30 Cm Soil C Org Stocks, Isotopic C Org Signature (13dc) And Fine Sediment Content (Silt And Clay %) Estimated In Soil Cores Sampled In Seagrass Meadows Around Australia [Dataset], Ines Mazarrasa, Paul Lavery, Carlos M. Duarte, Anna Lafratta, Catherine E. Lovelock, Peter I. Macreadie, Jimena Samper-Villarreal, Cristian Salinas, Christian Sanders, Stacey Trevathan-Tackett, Mary Young, Andy Steven, Oscar Serrano

Research Datasets

This database contains data on top 30 cm soil biogeochemical properties from soil cores (minimum length of 30 cm) sampled in seagrass (n=201 cores) and adjacent unvegetated patches (n=39) around Australia.

Average biogeochemical properties per core along with information about type of environment, biotic characteristics and environmental conditions.

In particular, the variables included in sheet 1 are:

- Core ID (column A): core code

- Location (column B): name of the region of the sampling site.

- Latitude / Longitude (columns C, D): latitude and longitude

- Bioregion (column E): classified the sampling sites according to …

The Movement Ecology Of Seagrasses, Kathryn Mcmahon, Kor-Jent Van Dijk, Leonardo Ruiz-Montoya, Gary A. Kendrick, Siegfried L. Krauss, Michelle Waycott, Jennifer Verduin, Ryan Lowe, John Statton, Eloise Brown, Carlos Duarte

Research outputs 2014 to 2021

A movement ecology framework is applied to enhance our understanding of the causes, mechanisms and consequences of movement in seagrasses: marine, clonal, flowering plants. Four life-history stages of seagrasses can move: pollen, sexual propagules, vegetative fragments and the spread of individuals through clonal growth. Movement occurs on the water surface, in the water column, on or in the sediment, via animal vectors and through spreading clones. A capacity for long-distance dispersal and demographic connectivity over multiple timeframes is the novel feature of the movement ecology of seagrasses with significant evolutionary and ecological consequences. The space–time movement footprint of different life-history …