Opportunity cost of ad hoc marine reserve design decisions: an example from South Australia

Stewart, Romola; Noyce, T.; Possingham, Hugh P.

doi:10.3354/meps253025

Cited by 133 publications

(113 citation statements)

References 37 publications

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“…By selecting the smallest area of reserves using an optimization algorithm, the opportunity conservation cost would be generally lower, but this approach will depend on the distribution of other potential economic activities (63). For instance, an evaluation of fisheries values could provide a feasible first cut at calculating those costs.…”

Section: Resultsmentioning

confidence: 99%

Global distribution and conservation of marine mammals

Pompa

Ehrlich

Ceballos

2011

Proc. Natl. Acad. Sci. U.S.A.

156

123

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The undersigned authors note the following: "We wish to bring to your attention an issue regarding our PNAS publication referenced above. Although we cite our earlier PNAS publication (see ref. Figs. 2 and 3 display the UWHBs for Hb β-subunit (pdb.1bz0, chain B) and human cellular prion protein (pdb.1qm0) (12)(13)(14). Within the natural interactive context of the Hb subunit, the UWHBs signal crucial binding regions (24): UWHBs (90, 94), (90, 95) are associated with the β-FG corner involved in the quaternary α1β2 interface; UWHB (5, 9) is adjacent to Glu-6 which in sickle cell anemia mutates to Val-6 and is located at the Val-6-(Phe-85, Leu-88) interface in the deoxyHbS fiber."The following text in the section titled 'Toward a Structural Diagnosis' on page 6449 of our text is similar to the text beginning in the last paragraph on page 2392 in ref. 23:The distribution of proteins according to their average extent of hydrogen bond wrapping and their spatial concentration of structural defects is shown in Fig. 5 (see also ref. 23). The sample of 2,811 PDB proteins is large enough to define a reliable abundance distribution with an inflection point at ρ = 6.20. The integration of the distribution over a ρ-interval gives the fraction of proteins whose ρ lies within that range. Of the 2,811 proteins examined, 2,572 have ρ > 6.20, and none of them is known to yield amyloid aggregation under physiological conditions entailing partial retention of structure. Strikingly, relatively few disease-related amyloidogenic proteins are known in the sparsely populated, underwrapped 3.5 < ρ < 6.20 range, with the cellular prion proteins located at the extreme of the spectrum (3.53 < ρ < 3.72)....The range of H-bond wrapping 3.5 < ρ < 4.6 of 20 sampled PDB membrane proteins has been included in Fig. 5 for comparison. As expected, such proteins do not have the stringent H-bond packing requirements of soluble proteins for their H bonds at the lipid interface. Thus, this comparison becomes suggestive in terms of elucidating the driving factor for aggregation in soluble proteins: Although the UWHB constitutes a structural defect in a soluble protein because of its vulnerability to water attack, it is not a structural defect in a membrane protein. The exposure of the polar amide and carbonyl of the unbound state to a nonpolar phase is thermodynamically unfavorable (22). The virtually identical ρ value for human prion and outer-membrane protein A (Fig. 5) is revealing in this regard.Furthermore, all known amyloidogenic proteins that occur naturally in complexed form have sufficient H-bond wrapping within their respective complexes (ρ value near 6.2). Their amyloidogenic propensity appears only under conditions in which the protein is dissociated from the complex (compare Fig. 5). This finding is corroborated by the following computation. If an intramolecular hydrogen bond is underwrapped within the isolated protein molecule but located at an interface upon complexation, then to determine its extent of wrapping within the complex, we take ...

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Section: Resultsmentioning

confidence: 99%

Global distribution and conservation of marine mammals

Pompa

Ehrlich

Ceballos

2011

Proc. Natl. Acad. Sci. U.S.A.

156

123

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“…This is an unusual response of Marxan, contradicting the linear responses to increasing spatial reserve exigencies when enhancing the importance of reserve clustering. Stewart, Noyce & Possingham (2003) found a nested pattern with increasing representation, however in our example the focal catchment differed when increasing the CP. The reason for this is that Degebe River has a larger catchment overall.…”

Section: Discussionmentioning

confidence: 74%

Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

et al. 2010

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Summary 1. Freshwater conservation has received less attention than its terrestrial or marine counterparts. Given the accelerated rate of change and intensive human use that freshwater ecosystems are submitted to, it is urgent to focus more attention on fresh waters. Existing conservation planning tools – such as Marxan – need to be modified to account for the special nature of these systems. Connectivity plays a key role in freshwater ecosystems. Threats are mediated along river corridors, and the condition of the entire catchment influences river biodiversity downstream. This needs to be considered in conservation planning. 2. The probabilities of occurrence of nine native freshwater fish species in a Mediterranean river basin, obtained from Multivariate Adaptive Regression Splines‐ Generalized Linear Model (MARS‐GLM) models, were used as features to develop spatial conservation priorities. The priorities accounted for complementarity and spatial design issues. 3. To deal with the connected nature of rivers, we modified Marxan’s boundary length penalty, avoiding the selection of isolated planning units and forcing the inclusion of closer upstream areas. We introduced ‘virtual boundaries’ between non‐headwater stream segments and added distance‐weighted penalties to the overall connectivity cost (CP) when stream segments upstream of the selected planning units are not selected. 4. This approach to prioritising connectivity is concordant with ecological theory, as it considers the natural and roughly exponential decay of upstream influences with distance. It accounts for the natural capacity of rivers to mitigate impacts when designing reserves. When connectivity was not emphasised, Marxan prioritised natural corridors for longitudinal movements. In contrast, whole sub‐basins were prioritised when connectivity was emphasised. Changing the relative emphasis on connectivity substantially changed the spatial prioritisation; our conservation investment could move from one basin to another. 5. Our novel approach to dealing with directional connectivity enables managers of freshwater systems to set ecologically meaningful spatial conservation priorities.

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“…Some basic applications of these maps are to aid in decisions on where to permit new activities, where to monitor climate change impacts, and as a catalog of data for the region. The site-specific cumulative impact scores can be factored into other spatial decision-making tools, such as MARXAN (Stewart et al 2003), to include an optimal number of low or high impact sites in specific management subregions. While ecological effects are central to management decision-making, many other topics come into play, such as economics, governance, and cultural values.…”

Section: Integration With Management Plansmentioning

confidence: 99%

A map of human impacts to a “pristine” coral reef ecosystem, the Papahānaumokuākea Marine National Monument

et al. 2009

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Effective and comprehensive regional-scale marine conservation requires fine-grained data on the spatial patterns of threats and their overlap. To address this need for the Papahānaumokuākea Marine National Monument (Monument) in Hawaii, USA, spatial data on 14 recent anthropogenic threats specific to this region were gathered or created, including alien species, bottom fishing, lobster trap fishing, ship-based pollution, ship strike risks, marine debris, research diving, research equipment installation, research wildlife sacrifice, and several anthropogenic climate change threats i.e., increase in ultraviolet (UV) radiation, seawater acidification, the number of warm ocean temperature anomalies relevant to disease outbreaks and coral bleaching, and sea level rise. These data were combined with habitat maps and expert judgment on the vulnerability of different habitat types in the Monument to estimate spatial patterns of current cumulative impact at 1 ha (0.01 km 2 ) resolution. Cumulative impact was greatest for shallow reef areas and peaked at Maro Reef, where 13 of the 14 threats overlapped in places. Ocean temperature variation associated with disease outbreaks was found to have the highest predicted impact overall, followed closely by other climate-related threats, none of which have easily tractable management solutions at the regional scale. High impact threats most tractable to regional management relate to ship traffic. Sensitivity analyses show that the results are robust to both data availability and quality. Managers can use these maps to (1) inform management and surveillance priorities based on the ranking of threats and their distributions, (2) guide permitting decisions based on cumulative impacts, and (3) choose areas to monitor for climate change effects. Furthermore, this regional analysis can serve as a case study for managers elsewhere interested in assessing and mapping region-specific cumulative human impacts.

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Opportunity cost of ad hoc marine reserve design decisions: an example from South Australia

Cited by 133 publications

References 37 publications

Global distribution and conservation of marine mammals

Global distribution and conservation of marine mammals

Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

A map of human impacts to a “pristine” coral reef ecosystem, the Papahānaumokuākea Marine National Monument

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