Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models
Like coral reefs around the world, the reefs of the United Arab Emirates (UAE) are facing global climate change and associated threats. The coasts and islands that flank Abu Dhabi host an important number of corals that should be the focus of conservation actions. Well-designed conservation and mana...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2020
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| الوصول للمادة أونلاين: | http://hdl.handle.net/20.500.12458/433 |
| الوسوم: |
إضافة وسم
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| _version_ | 1857415064877793280 |
|---|---|
| author | Ben Romdhane, Haifa |
| author2 | Bugla, Ibrahim Perry, Richard J.O. Ghedira, Hosni Ouarda, Taha B. M. J. Rajan, Anbiah Marpu, Prashanth Reddy |
| author2_role | author author author author author author |
| author_facet | Ben Romdhane, Haifa Bugla, Ibrahim Perry, Richard J.O. Ghedira, Hosni Ouarda, Taha B. M. J. Rajan, Anbiah Marpu, Prashanth Reddy |
| author_role | author |
| dc.creator.none.fl_str_mv | Ben Romdhane, Haifa Bugla, Ibrahim Perry, Richard J.O. Ghedira, Hosni Ouarda, Taha B. M. J. Rajan, Anbiah Marpu, Prashanth Reddy |
| dc.date.none.fl_str_mv | 2020-09-22T06:30:26Z 2020-09-22T06:30:26Z 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Ecological Indicators, vol 112, 2020, pp 1-22 1470160X http://hdl.handle.net/20.500.12458/433 10.1016/j.ecolind.2019.106050 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Ecological Indicators 112 1 22 |
| dc.title.none.fl_str_mv | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | Like coral reefs around the world, the reefs of the United Arab Emirates (UAE) are facing global climate change and associated threats. The coasts and islands that flank Abu Dhabi host an important number of corals that should be the focus of conservation actions. Well-designed conservation and management plans require efficient monitoring systems that include understanding coral reef patterns. To understand some of these patterns; coral cover data, satellite-derived and in-situ water quality parameters from nine key reef environments in the UAE from 2011 to 2014 to model coral patterns were used. The objectives were to model coral patterns and realistically predict coral damage intensity with changing environmental variables. Coral damage cover models were defined and estimated for the coral damage cover. Effects of environmental factors were estimated, and predictions of coral damage intensity were presented with changing factors. Main findings, based on the studied data, showed that nutrient enrichment, a proxy for anthropogenic pressure, and salinity are the most influential factors to induce coral damage in UAE waters. Furthermore, results demonstrated that the probability of severe damage increases with decreasing water oxygenation and with increasing temperature, light, salinity, acidity and nutrient levels. The defined and estimated predictions accounted for corals’ behavioural aspects, across individual reefs and over time. This approach is more appropriate than estimation predictions that just account for historic trends. Nevertheless, there are, probably, many components within the model framework that can be expanded and/or improved as more information become available. An extended dataset will enable a means to independently validate the defined models and test other modelling approaches. Continually increasing the insitu and remote sensing data sizes, spatially and temporally, defines a long-term priority. |
| id | sorbonner_d7928d90b20a08f33df6b6e2a9ee3328 |
| identifier_str_mv | Ecological Indicators, vol 112, 2020, pp 1-22 1470160X 10.1016/j.ecolind.2019.106050 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/433 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit modelsBen Romdhane, HaifaBugla, IbrahimPerry, Richard J.O.Ghedira, HosniOuarda, Taha B. M. J.Rajan, AnbiahMarpu, Prashanth ReddyLike coral reefs around the world, the reefs of the United Arab Emirates (UAE) are facing global climate change and associated threats. The coasts and islands that flank Abu Dhabi host an important number of corals that should be the focus of conservation actions. Well-designed conservation and management plans require efficient monitoring systems that include understanding coral reef patterns. To understand some of these patterns; coral cover data, satellite-derived and in-situ water quality parameters from nine key reef environments in the UAE from 2011 to 2014 to model coral patterns were used. The objectives were to model coral patterns and realistically predict coral damage intensity with changing environmental variables. Coral damage cover models were defined and estimated for the coral damage cover. Effects of environmental factors were estimated, and predictions of coral damage intensity were presented with changing factors. Main findings, based on the studied data, showed that nutrient enrichment, a proxy for anthropogenic pressure, and salinity are the most influential factors to induce coral damage in UAE waters. Furthermore, results demonstrated that the probability of severe damage increases with decreasing water oxygenation and with increasing temperature, light, salinity, acidity and nutrient levels. The defined and estimated predictions accounted for corals’ behavioural aspects, across individual reefs and over time. This approach is more appropriate than estimation predictions that just account for historic trends. Nevertheless, there are, probably, many components within the model framework that can be expanded and/or improved as more information become available. An extended dataset will enable a means to independently validate the defined models and test other modelling approaches. Continually increasing the insitu and remote sensing data sizes, spatially and temporally, defines a long-term priority.2020-09-22T06:30:26Z2020-09-22T06:30:26Z2020Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdfEcological Indicators, vol 112, 2020, pp 1-221470160Xhttp://hdl.handle.net/20.500.12458/43310.1016/j.ecolind.2019.106050enEcological Indicators112122oai:depot.sorbonne.ae:20.500.12458/4332023-12-05T09:47:58Z |
| spellingShingle | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models Ben Romdhane, Haifa |
| title | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| title_full | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| title_fullStr | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| title_full_unstemmed | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| title_short | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| title_sort | Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models |
| url | http://hdl.handle.net/20.500.12458/433 |