Academic Journal

Predicting seagrass decline due to cumulative stressors

التفاصيل البيبلوغرافية
العنوان: Predicting seagrass decline due to cumulative stressors
المؤلفون: Adams, Matthew, Koh, Edwin J. Y., Vilas, Maria, Collier, Catherine, Lambert, Victoria, Sisson, Scott, Quiroz, Matias, Mcdonald-Madden, Eve, McKenzie, Len J., O'Brien, Kate
المصدر: Environmental Modelling and Software
بيانات النشر: Elsevier BV
سنة النشر: 2020
المجموعة: Queensland University of Technology: QUT ePrints
مصطلحات موضوعية: cumulative stress, dynamic model, ecological forecasting, seagrass, Sequential Monte Carlo sampling, variational inference
الوصف: Seagrass ecosystems are increasingly subjected to multiple interacting stressors, making the consequent trajectories difficult to predict. Here, we present a new process-based model of seagrass decline in response to cumulative light and temperature stress. The model is calibrated to laboratory datasets for Great Barrier Reef seagrasses using Bayesian inference. Our model, which is fit to both physiological and morphological data, supports the hypothesis that physiological carbon loss rate controls the shoot density decline rate of seagrasses. The model predicts the time to complete shoot loss, and a new, generalisable, cumulative stress index that indicates the potential seagrass shoot density decline based on the time period of cumulative stress. All model predictions include uncertainty estimates based on uncertainty in the model fit to the data. The calibrated model is packaged into a computer program that can forecast the potential declines of seagrasses due to cumulative light and temperature stress.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
Relation: https://eprints.qut.edu.au/200104/1/Adams_et_al_2020_EMS.pdf; Adams, Matthew, Koh, Edwin J. Y., Vilas, Maria, Collier, Catherine, Lambert, Victoria, Sisson, Scott, Quiroz, Matias, Mcdonald-Madden, Eve, McKenzie, Len J., & O'Brien, Kate (2020) Predicting seagrass decline due to cumulative stressors. Environmental Modelling and Software, 130, Article number: 104717.; https://eprints.qut.edu.au/200104/; Institute for Future Environments; Science & Engineering Faculty; Centre for Tropical Crops and Biocommodities
الاتاحة: https://eprints.qut.edu.au/200104/
Rights: free_to_read ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; 2020 Elsevier Ltd ; This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
رقم الانضمام: edsbas.5EF5CDE4
قاعدة البيانات: BASE