Improving Predictions of Salt Marsh Evolution Through Better Integration of Data and Models
| Autor: | Patricia L. Wiberg, Sergio Fagherazzi, Matthew L. Kirwan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Conservation of Natural Resources
Marsh geography.geographical_feature_category 010504 meteorology & atmospheric sciences business.industry Climate Change Environmental resource management Climate change Models Theoretical 010502 geochemistry & geophysics Oceanography 01 natural sciences Geography Sea level rise Wetlands Salt marsh Threatened species Humans Ecosystem business Forecasting 0105 earth and related environmental sciences |
| Zdroj: | Annual Review of Marine Science. 12:389-413 |
| ISSN: | 1941-0611 1941-1405 |
| DOI: | 10.1146/annurev-marine-010419-010610 |
| Popis: | Salt marshes are recognized as valuable resources that are threatened by climate change and human activities. Better management and planning for these ecosystems will depend on understanding which marshes are most vulnerable, what is driving their change, and what their future trajectory is likely to be. Both observations and models have provided inconsistent answers to these questions, likely in part because of comparisons among sites and/or models that differ significantly in their characteristics and processes. Some of these differences almost certainly arise from processes that are not fully accounted for in marsh morphodynamic models. Here, we review distinguishing properties of marshes, important processes missing from many morphodynamic models, and key measurements missing from many observational studies. We then suggest some comparisons between models and observations that will provide critical tests and insights to improve our ability to forecast future change in these coastal landscapes. |
| Databáze: | OpenAIRE |
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