globalchange  > 气候变化与战略
DOI: 10.1016/j.ecolind.2019.106050
论文题名:
Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models
作者: Ben-Romdhane H.; Ouarda T.B.M.J.; Marpu P.; Rajan A.; Bugla I.; Perry R.J.O.; Ghedira H.
刊名: Ecological Indicators
ISSN: 1470160X
出版年: 2020
卷: 112
语种: 英语
英文关键词: Coral reef patterns ; Multinomial logit ; Panel data analysis ; Probit models ; United Arab Emirates
Scopus关键词: Climate change ; Data handling ; Forecasting ; Information analysis ; Nutrients ; Remote sensing ; Statistical tests ; Water quality ; Coral reef ; Multinomial Logit ; Panel data analysis ; Probit models ; United Arab Emirates ; Reefs ; climate change ; climate effect ; conservation planning ; coral reef ; environmental disturbance ; global climate ; historical record ; light effect ; logit analysis ; oxygenation ; panel data ; satellite data ; temperature effect ; Abu Dhabi [United Arab Emirates] ; United Arab Emirates ; Anthozoa
英文摘要: 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 in-situ and remote sensing data sizes, spatially and temporally, defines a long-term priority. © 2019 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158273
Appears in Collections:气候变化与战略

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作者单位: Khalifa University, Masdar Campus, Abu Dhabi, United Arab Emirates; INRS-ETE, National Institute of Scientific Research, Quebec City, Canada; Environment Agency-Abu Dhabi, Abu Dhabi, United Arab Emirates

Recommended Citation:
Ben-Romdhane H.,Ouarda T.B.M.J.,Marpu P.,et al. Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models[J]. Ecological Indicators,2020-01-01,112
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