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

Brown, Christopher J., Saunders, Megan I., Possingham, Hugh P. and Richardson, Anthony J. (2014) Interactions between global and local stressors of ecosystems determine management effectiveness in cumulative impact mapping. Diversity and Distributions, 20 5: 538-546. doi:10.1111/ddi.12159

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Author Brown, Christopher J.
Saunders, Megan I.
Possingham, Hugh P.
Richardson, Anthony J.
Title Interactions between global and local stressors of ecosystems determine management effectiveness in cumulative impact mapping
Journal name Diversity and Distributions   Check publisher's open access policy
ISSN 1366-9516
1472-4642
Publication date 2014
Year available 2013
Sub-type Article (original research)
DOI 10.1111/ddi.12159
Open Access Status File (Author Post-print)
Volume 20
Issue 5
Start page 538
End page 546
Total pages 9
Place of publication Wiley-Blackwell
Publisher Oxford, United Kingdom
Collection year 2014
Language eng
Formatted abstract
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. 
Keyword Antagonistic threats
Biodiversity prioritization
Ecosystem stress mapping
Multiple stressors
Seagrass
Synergistic threats
Threat mapping
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 29 Apr 2014, 01:41:13 EST by System User on behalf of Global Change Institute