Interactions between global and local stressors of ecosystems determine management effectiveness in cumulative impact mapping

被引:113
作者
Brown, Christopher J. [1 ,2 ]
Saunders, Megan I. [2 ]
Possingham, Hugh P. [1 ,3 ]
Richardson, Anthony J. [4 ,5 ]
机构
[1] Univ Queensland, Sch Biol Sci, St Lucia, Qld 4072, Australia
[2] Univ Queensland, Global Change Inst, St Lucia, Qld 4072, Australia
[3] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Ascot SL5 7PY, Berks, England
[4] Ecosci Precinct, Climate Adaptat Flagship, CSIRO Marine & Atmospher Res, Dutton Park, Qld 4102, Australia
[5] Univ Queensland, Sch Math & Phys, Ctr Applicat Nat Resource Math, St Lucia, Qld 4067, Australia
基金
澳大利亚研究理事会;
关键词
biodiversity prioritization; Antagonistic threats; seagrass; ecosystem stress mapping; multiple stressors; synergistic threats; threat mapping; CLIMATE-CHANGE; WATER-QUALITY; OCEAN ACIDIFICATION; SEAGRASS; RESILIENCE; HEALTH; LIGHT; RISK;
D O I
10.1111/ddi.12159
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Aim Cumulative impact maps are used to identify the spatial distribution of multiple human impacts to species and ecosystems. Impacts can be caused by local stressors which can be managed, such as eutrophication, and by global stressors that cannot be managed, such as climate change. Cumulative impact maps typically assume that there are no interactive effects between stressors on biodiversity. However, the benefits of managing the ecosystem are affected by interactions between stressors. Our aim was to determine whether the assumption of no interactions in impact maps leads to incorrect identification of sites for management. Location General, Australasia. Methods We used the additive effects model to incorporate the effects of interactions into an interactive impact map. Seagrass meadows in Australasia threatened by a local stressor, nutrient inputs, and a global stressor, warming, were used as a case study. The reduction in the impact index was quantified for reductions in the nutrient stressor. We examined the outcomes for three scenarios: no interactions, antagonistic interactions or synergistic interactions. Results Cumulative impact maps imply that reducing a local stressor will give equivalent reductions in the impact index everywhere, regardless of spatial variability in a global stressor. We show that reductions in the impact index were greatest in refuges from warming if there was an antagonistic interaction between stressors, and greatest in areas of high warming stress if there was a synergistic interaction. Reducing the nutrient stressor in refuges from warming always reduced the impact index, regardless of the interaction. Main conclusions Interactions between local and global stressors should be considered when using cumulative impact maps to identify sites where management of a local stressor will provide the greatest impact reduction. If the interaction type is unknown, impact maps can be used to identify refuges from global stressors, as sites for management.
引用
收藏
页码:538 / 546
页数:9
相关论文
共 47 条
[1]   Joint analysis of stressors and ecosystem services to enhance restoration effectiveness [J].
Allan, J. David ;
McIntyre, Peter B. ;
Smith, Sigrid D. P. ;
Halpern, Benjamin S. ;
Boyer, Gregory L. ;
Buchsbaum, Andy ;
Burton, G. A., Jr. ;
Campbell, Linda M. ;
Chadderton, W. Lindsay ;
Ciborowski, Jan J. H. ;
Doran, Patrick J. ;
Eder, Tim ;
Infante, Dana M. ;
Johnson, Lucinda B. ;
Joseph, Christine A. ;
Marino, Adrienne L. ;
Prusevich, Alexander ;
Read, Jennifer G. ;
Rose, Joan B. ;
Rutherford, Edward S. ;
Sowa, Scott P. ;
Steinman, Alan D. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (01) :372-377
[2]   Bleaching, energetics, and coral mortality risk: Effects of temperature, light, and sediment regime [J].
Anthony, Kenneth R. N. ;
Connolly, Sean R. ;
Hoegh-Guldberg, Ove .
LIMNOLOGY AND OCEANOGRAPHY, 2007, 52 (02) :716-726
[3]   Cumulative impact mapping: Advances, relevance and limitations to marine management and conservation, using Canada's Pacific waters as a case study [J].
Ban, Natalie C. ;
Alidina, Hussein M. ;
Ardron, Jeff A. .
MARINE POLICY, 2010, 34 (05) :876-886
[4]   A model-based approach to determine the long-term effects of multiple interacting stressors on coral reefs [J].
Blackwood, Julie C. ;
Hastings, Alan ;
Mumby, Peter J. .
ECOLOGICAL APPLICATIONS, 2011, 21 (07) :2722-2733
[5]  
Brown C. J., 2013, PLOS ONE, V8
[6]   Quantitative approaches in climate change ecology [J].
Brown, Christopher J. ;
Schoeman, David S. ;
Sydeman, William J. ;
Brander, Keith ;
Buckley, Lauren B. ;
Burrows, Michael ;
Duarte, Carlos M. ;
Moore, Pippa J. ;
Pandolfi, John M. ;
Poloczanska, Elvira ;
Venables, William ;
Richardson, Anthony J. .
GLOBAL CHANGE BIOLOGY, 2011, 17 (12) :3697-3713
[7]   Seagrasses and eutrophication [J].
Burkholder, JoAnn M. ;
Tomasko, David A. ;
Touchette, Brant W. .
JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY, 2007, 350 (1-2) :46-72
[8]   Modeling the effects of climate change on eelgrass stability and resilience: future scenarios and leading indicators of collapse [J].
Carr, Joel A. ;
D'Odorico, Paolo ;
McGlathery, Karen J. ;
Wiberg, Patricia L. .
MARINE ECOLOGY PROGRESS SERIES, 2012, 448 :289-301
[9]   Thermal tolerance of two seagrass species at contrasting light levels: Implications for future distribution in the Great Barrier Reef [J].
Collier, Catherine J. ;
Uthicke, Sven ;
Waycott, Michelle .
LIMNOLOGY AND OCEANOGRAPHY, 2011, 56 (06) :2200-2210
[10]   Interactive and cumulative effects of multiple human stressors in marine systems [J].
Crain, Caitlin Mullan ;
Kroeker, Kristy ;
Halpern, Benjamin S. .
ECOLOGY LETTERS, 2008, 11 (12) :1304-1315