Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference
To study the impact of the Deepwater Horizon oil spill on photosynthesis of coastal salt marsh plants in Mississippi, we developed a hierarchical Bayesian (HB) model based on field measurements collected from July 2010 to November 2011. We sampled three locations in Davis Bayou, Mississippi (30.375°...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2012-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/7/4/045302 |
| _version_ | 1797748436372553728 |
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| author | Wei Wu Patrick D Biber Mark S Peterson Chongfeng Gong |
| author_facet | Wei Wu Patrick D Biber Mark S Peterson Chongfeng Gong |
| author_sort | Wei Wu |
| collection | DOAJ |
| description | To study the impact of the Deepwater Horizon oil spill on photosynthesis of coastal salt marsh plants in Mississippi, we developed a hierarchical Bayesian (HB) model based on field measurements collected from July 2010 to November 2011. We sampled three locations in Davis Bayou, Mississippi (30.375°N, 88.790°W) representative of a range of oil spill impacts. Measured photosynthesis was negative (respiration only) at the heavily oiled location in July 2010 only, and rates started to increase by August 2010. Photosynthesis at the medium oiling location was lower than at the control location in July 2010 and it continued to decrease in September 2010. During winter 2010–2011, the contrast between the control and the two impacted locations was not as obvious as in the growing season of 2010. Photosynthesis increased through spring 2011 at the three locations and decreased starting with October at the control location and a month earlier (September) at the impacted locations. Using the field data, we developed an HB model. The model simulations agreed well with the measured photosynthesis, capturing most of the variability of the measured data. On the basis of the posteriors of the parameters, we found that air temperature and photosynthetic active radiation positively influenced photosynthesis whereas the leaf stress level negatively affected photosynthesis. The photosynthesis rates at the heavily impacted location had recovered to the status of the control location about 140 days after the initial impact, while the impact at the medium impact location was never severe enough to make photosynthesis significantly lower than that at the control location over the study period. The uncertainty in modeling photosynthesis rates mainly came from the individual and micro-site scales, and to a lesser extent from the leaf scale. |
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| format | Article |
| id | doaj.art-8dd382ad97904a81a7863d82e9c9fcda |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T16:04:44Z |
| publishDate | 2012-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-8dd382ad97904a81a7863d82e9c9fcda2023-08-09T14:24:48ZengIOP PublishingEnvironmental Research Letters1748-93262012-01-017404530210.1088/1748-9326/7/4/045302Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inferenceWei Wu0Patrick D Biber1Mark S Peterson2Chongfeng Gong3Department of Coastal Sciences, The University of Southern Mississippi , 703 East Beach Drive, Ocean Springs, MS 39564, USADepartment of Coastal Sciences, The University of Southern Mississippi , 703 East Beach Drive, Ocean Springs, MS 39564, USADepartment of Coastal Sciences, The University of Southern Mississippi , 703 East Beach Drive, Ocean Springs, MS 39564, USADepartment of Coastal Sciences, The University of Southern Mississippi , 703 East Beach Drive, Ocean Springs, MS 39564, USATo study the impact of the Deepwater Horizon oil spill on photosynthesis of coastal salt marsh plants in Mississippi, we developed a hierarchical Bayesian (HB) model based on field measurements collected from July 2010 to November 2011. We sampled three locations in Davis Bayou, Mississippi (30.375°N, 88.790°W) representative of a range of oil spill impacts. Measured photosynthesis was negative (respiration only) at the heavily oiled location in July 2010 only, and rates started to increase by August 2010. Photosynthesis at the medium oiling location was lower than at the control location in July 2010 and it continued to decrease in September 2010. During winter 2010–2011, the contrast between the control and the two impacted locations was not as obvious as in the growing season of 2010. Photosynthesis increased through spring 2011 at the three locations and decreased starting with October at the control location and a month earlier (September) at the impacted locations. Using the field data, we developed an HB model. The model simulations agreed well with the measured photosynthesis, capturing most of the variability of the measured data. On the basis of the posteriors of the parameters, we found that air temperature and photosynthetic active radiation positively influenced photosynthesis whereas the leaf stress level negatively affected photosynthesis. The photosynthesis rates at the heavily impacted location had recovered to the status of the control location about 140 days after the initial impact, while the impact at the medium impact location was never severe enough to make photosynthesis significantly lower than that at the control location over the study period. The uncertainty in modeling photosynthesis rates mainly came from the individual and micro-site scales, and to a lesser extent from the leaf scale.https://doi.org/10.1088/1748-9326/7/4/045302Deepwater Horizon oil spillphotosynthesissalt marshhierarchical Bayesian modelsmulti-scale |
| spellingShingle | Wei Wu Patrick D Biber Mark S Peterson Chongfeng Gong Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference Environmental Research Letters Deepwater Horizon oil spill photosynthesis salt marsh hierarchical Bayesian models multi-scale |
| title | Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference |
| title_full | Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference |
| title_fullStr | Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference |
| title_full_unstemmed | Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference |
| title_short | Modeling photosynthesis of Spartina alterniflora (smooth cordgrass) impacted by the Deepwater Horizon oil spill using Bayesian inference |
| title_sort | modeling photosynthesis of spartina alterniflora smooth cordgrass impacted by the deepwater horizon oil spill using bayesian inference |
| topic | Deepwater Horizon oil spill photosynthesis salt marsh hierarchical Bayesian models multi-scale |
| url | https://doi.org/10.1088/1748-9326/7/4/045302 |
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