کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7470350 1485131 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing interactions of multiple stressors when data are limited: A Bayesian belief network applied to coral reefs
ترجمه فارسی عنوان
ارزیابی تعاملات تنش گران چندگانه زمانی که داده ها محدود می شوند: یک شبکه اعتقاد بر بیس در مورد صخره های مرجانی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست علوم زیست محیطی (عمومی)
چکیده انگلیسی
Bayesian belief networks are finding increasing application in adaptive ecosystem management where data are limited and uncertainty is high. The combined effect of multiple stressors is one area where considerable uncertainty exists. Our study area, the Great Barrier Reef is simultaneously data-rich - concerning the physical and biological environment - and data-poor - concerning the effects of interacting stressors. We used a formal expert-elicitation process to obtain estimates of outcomes associated with a variety of scenarios that combined stressors both within and outside the control of local managers. There was much stronger consensus about certain stressor effects - such as between temperature anomalies and bleaching - than others, such as the relationship between water quality and coral cover. In general, the expert outlook for the Great Barrier Reef is pessimistic, with the potential for climate change effects potentially to overshadow the effects of local management actions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Global Environmental Change - Volume 27, July 2014, Pages 64-72
نویسندگان
, , ,