Quantifying ecosystem responses to environmental and human pressures in the marine ecosystem off the west coast of Vancouver Island
文献类型: 外文期刊
第一作者: Boldt, Jennifer L.
作者: Boldt, Jennifer L.;Fu, Caihong;Perry, R. Ian;Hazen, Elliott L.;Hunsicker, Mary E.;Shan, Xiujuan
作者机构:
关键词: Ecosystem indicators; Marine ecosystems; Reference points; Northeast Pacific; Nonlinear response; Multi-model approach
期刊名称:ECOLOGICAL INDICATORS ( 影响因子:4.958; 五年影响因子:5.846 )
ISSN: 1470-160X
年卷期: 2021 年 132 卷
页码:
收录情况: SCI
摘要: One necessity of ecosystem based management is an understanding of the shape and functional forms of ecosystem responses to environmental and human pressures. Both nonlinear and linear relationships may provide leading indicators of ecosystem change and inform reference points for ecosystem approaches to management. The objectives of this study were to 1) determine functional forms of pressure-response relationships, 2) identify non-linear relationships, and 3) quantify potentially relevant management thresholds for the west coast of Vancouver Island marine ecosystem in British Columbia, Canada. To do this, a multi-model approach was applied to mechanistically linked indicators of pressures and responses. Both single pressure-response and multivariate relationships were examined. Results indicate that 1) nonlinear and linear relationships were not prevalent with the percentage of occurrence (6-12%) similar to other regions, 2) ecological responses (both linear and nonlinear) were more commonly associated with environmental pressures than human pressures, 3) gradient forest analysis generally produced similar results as single pressure-response models and identified additional nonlinearities, 4) dynamic factor analyses (DFA) reduced the numerous pressure and response indicator to a few trends, however, the process may have resulted in a loss of information, and 5) possibly due to this loss of information, gradient forest and single pressure-response analyses on DFA trends produced different results. Quantifying how pressures affect ecosystem components can provide advanced knowledge about changes in ecosystem productivity, structure, and function which can inform science advice and management strategies. Mechanistically linked pressure-response relationships should be explored further with multi-model ensembles to better inform ecosystem-based and climate-ready approaches to marine management.
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