Trends in environmental and resource management point to a more collaborative, integrated and regional approach, discussed in terms of concepts such as ecosystem management and collaborative planning. Such an approach has the potential to address some of the shortfalls previously encountered in environmental management and nature conservation, and has been the focus of considerable discussion in the literature. While a number of efforts are underway, there remains a need to identify how a regional approach can best be undertaken in practice. This research assessed the Yellowstone to Yukon Conservation Initiative (Y2Y), a recent regional conservation initiative in western North America, which has been the focus of considerable attention in the conservation community. This research assessed the strengths and limitations of the Yellowstone to Yukon Conservation Initiative in terms of its contribution to regional conservation planning, aiming to gain an understanding of implications for similar regional conservation efforts. Literature relating to regional conservation was examined to derive principles for effective regional conservation planning, as a basis for comparison with Y2Y. Drawing from needs of ecosystem management, collaborative planning, and related concepts, criteria were developed to assess the formative stages of a regional approach, emphasising capacity building measures and preconditions for success. In order to assess the strengths and limitations of Y2Y at a regional scale, this research attempted to obtain an understanding of how the Y2Y initiative was perceived by multiple stakeholders in regional conservation, as a basis for interpreting multi-stakeholder involvement and buy-in. A series of semi-structured interviews were conducted with a diverse range of individuals involved (directly and indirectly) in conservation planning, in two communities in the Y2Y region, Canmore and Crowsnest Pass, Alberta. These communities were selected to provide a degree of representation of areas within the Alberta portion of the Y2Y region. Perceptions of successes and obstacles of the initiative were compared with the criteria for effective regional conservation planning. Findings pointed to three recurring themes that influenced the initiative's ability to meet the criteria. These were the need to address both ecological and social components of conservation, the need to include diverse participants, and the need to operate at regional and local scales. These themes are consistent with limitations of traditional conservation and management practices critiqued in the literature, and suggest some substantial obstacles for employing a truly collaborative regional approach to conservation. Reflecting on the findings revealed that the Y2Y initiative was primarily understood as a vision. The Y2Y vision is one that has garnered a great deal of support and momentum, although there is a need to progress beyond the vision to address its potential and apply the ideals it puts forward. Recommendations of this study for Y2Y and similar initiatives included the need to build partnerships with more diverse groups, and the need for the Y2Y vision to be promoted in terms of some tangible, more specific goals. This study identified a need for biophysical, social science, and stakeholder information needs to be assessed and prioritised at the start of an initiative. Additionally, a vision was recognised as an effective rallying point from which to develop a regional conservation planning initiative.

Trends in environmental and resource management point to a more collaborative, integrated and regional approach, discussed in terms of concepts such as ecosystem management and collaborative planning. Such an approach has the potential to address some of the shortfalls previously encountered in environmental management and nature conservation, and has been the focus of considerable discussion in the literature. While a number of efforts are underway, there remains a need to identify how a regional approach can best be undertaken in practice. This research assessed the Yellowstone to Yukon Conservation Initiative (Y2Y), a recent regional conservation initiative in western North America, which has been the focus of considerable attention in the conservation community. This research assessed the strengths and limitations of the Yellowstone to Yukon Conservation Initiative in terms of its contribution to regional conservation planning, aiming to gain an understanding of implications for similar regional conservation efforts. Literature relating to regional conservation was examined to derive principles for effective regional conservation planning, as a basis for comparison with Y2Y. Drawing from needs of ecosystem management, collaborative planning, and related concepts, criteria were developed to assess the formative stages of a regional approach, emphasising capacity building measures and preconditions for success. In order to assess the strengths and limitations of Y2Y at a regional scale, this research attempted to obtain an understanding of how the Y2Y initiative was perceived by multiple stakeholders in regional conservation, as a basis for interpreting multi-stakeholder involvement and buy-in. A series of semi-structured interviews were conducted with a diverse range of individuals involved (directly and indirectly) in conservation planning, in two communities in the Y2Y region, Canmore and Crowsnest Pass, Alberta. These communities were selected to provide a degree of representation of areas within the Alberta portion of the Y2Y region. Perceptions of successes and obstacles of the initiative were compared with the criteria for effective regional conservation planning. Findings pointed to three recurring themes that influenced the initiative's ability to meet the criteria. These were the need to address both ecological and social components of conservation, the need to include diverse participants, and the need to operate at regional and local scales. These themes are consistent with limitations of traditional conservation and management practices critiqued in the literature, and suggest some substantial obstacles for employing a truly collaborative regional approach to conservation. Reflecting on the findings revealed that the Y2Y initiative was primarily understood as a vision. The Y2Y vision is one that has garnered a great deal of support and momentum, although there is a need to progress beyond the vision to address its potential and apply the ideals it puts forward. Recommendations of this study for Y2Y and similar initiatives included the need to build partnerships with more diverse groups, and the need for the Y2Y vision to be promoted in terms of some tangible, more specific goals. This study identified a need for biophysical, social science, and stakeholder information needs to be assessed and prioritised at the start of an initiative. Additionally, a vision was recognised as an effective rallying point from which to develop a regional conservation planning initiative.

<p>Amazonia contains the largest remaining tracts of undisturbed tropical forest on earth, and is thus critical to international nature conservation and carbon sequestration efforts. Amazonian forests are notoriously difficult to study, however, due to their species richness and inaccessibility. This has limited efforts to produce the accurate, high-resolution biodiversity maps needed for conservation and development. The aims of the research described here were to identify efficient solutions to the problems of tropical forest inventory; to use these methods to identify floristic patterns and their causes in western Amazonia; and propose new means to map floristic patterns in these forests.</p><p> Using tree inventories in the vicinity of Iquitos, Peru, I and a colleague systematically evaluated methods for rapid tropical forest inventory. Of these, inventory of particular taxonomic groups, or taxonomic scope inventory, was the most efficient, and was able to capture a majority of the pattern observed by traditional inventory techniques with one-fifth to one-twentieth the number of stems and species. Based on the success of this approach, I and colleagues specifically evaluated two plant groups, the Pteridophytes (ferns and fern allies) and the Melastomataceae (a family of shrubs and small trees), for use in rapid inventory. Floristic patterns based on inventories from either group were significantly associated with those based on the tree flora, and inventories of Pteridophytes in particular were in most cases able to capture the majority of floristic patterns identified by tree inventories. These findings indicate that Pteridophyte and Melastomataceae inventories are useful tools for rapid tropical forest inventory.</p><p> Using Pteridophyte and Melastomataceae inventories from 138 sites in northwestern Amazonia, combined with satellite data and soil sampling, I and colleagues studied the causes of vegetation patterns in western Amazonian forests. On the basis of these data, we identified a floristic discontinuity of at least 300km in northern Peru, corresponding to a 15-fold difference in soil cation concentrations and an erosion-generated geological boundary. On the basis of this finding, we assembled continent-scale satellite image mosaics, and used these to search for additional discontinuities in western Amazonia. These mosaics indicate a floristic and geological discontinuity of at least 1500km western Brasil, driven by similar erosional processes identified in our study area. We suggest that this represents a chemical and ecological boundary between western and central Amazonia.</p><p> Using a second network of 52 pteridophyte and soil inventories in northwestern Amazonia, we further studied the role of geology in generating floristic pattern. Consistent with earlier findings, we found that two widespread geological formations in western Amazonia differ eight-fold difference in soil cation concentrations and in a majority of their species. Difference in elevation, used as a surrogate for geological formation, furthermore explained up to one-third of the variation in plant species composition between these formations. Significant correlations between elevation, and cation concentrations and soil texture, confirmed that differences in species composition between these formations are driven by differences in soil properties. On the basis of these findings, we were able to use SRTM elevation data to accurately model species composition throughout our study area.</p><p> I argue that Amazonian forests are partitioned into large-area units on the basis of geological formations and their edaphic properties. This finding has implications for both the ecology and evolution of these forests, and suggests that conservation strategies be implemented on a region-by-region basis. Fortunately, the methods described here provide a means for generating accurate and detailed maps of floristic patterns in these vast and remote forests.</p> / Dissertation

This research explored the role of science and civil society environmental organizations in conservation planning, using a case study of Ontario’s Long Point region. Science is a dynamic field that is constantly adapting and evolving and is increasingly relied on as a basis for decision-making in conservation planning, policy and management. The role of civil society in conservation planning has also grown and organizations that operate outside of government now play an important role in acquiring land, conducting monitoring activities, and promoting local stewardship. Considering the activities of these organizations, and the underlying science that informs them, is essential given the increasing prevalence of this type of work and the increasing ability of civil society organizations to affect conservation planning outcomes. Through a literature review, document analysis, and semi-structured interviews, this research considered how characterizations of science, applications of science, and recent trends in science have influenced conservation plans, policies, and actions in the Long Point region. The results illustrate how different forms of information were considered and applied when prioritizing, justifying, and implementing conservation projects and provide a location-specific example of how the modern features of conservation planning and management are influencing environmental outcomes. Specifically, the results suggest how place-based knowledge can potentially be disseminated through policy and planning initiatives and also suggest how different forms of information may interact to influence overall project credibility. These findings have implications for both planning theory and practice by contributing to our understanding of the role of science in shaping conservation practices, the role of civil society in driving conservation innovation, and the importance of local knowledge in supporting effective conservation actions. / Thesis (Master, Urban & Regional Planning) -- Queen's University, 2010-07-05 20:55:39.924

No description available.

Abstract The world is losing its biodiversity at an alarming rate and many agencies are committing to considerable investment in global conservation. Given the enormity of environmental issues, the funding available to managers is insufficient. Managers must make decisions about how to act within the bounds of this limited funding. Conservation decision-making is also limited by a lack of knowledge about the systems we are trying to conserve. Much of the information required for effective conservation is uncertain. In this thesis I focus on practical ways of approaching the immense predicament of how to make good conservation decisions in the face of these two limitations. In chapter two I provide both an optimal framework and analytic rule of thumb for allocating limited funding among subpopulations of a threatened species. My results show that the number of subpopulations we can effectively manage is driven by the economic constraints placed on management and the risk of extinction of the species we are trying to protect. We discover that it is rarely optimal to manage all the remaining isolated subpopulations of a threatened species. This highlights the importance of a triage approach to the management of subpopulations of a threatened species under the current climate of limited funding, leading us to coin the term ‘subpopulation triage’. One key area of uncertainty that links directly with how we allocate resources for conservation is uncertainty in the impact of our management actions on the systems we are trying to protect (the impact-investment curve). This relationship often drives the outcomes of our decision-making frameworks. In chapter three I investigate how uncertainty in the impact-investment curve, assumed in chapter two, alters our optimal management decision. Again, I find that limited conservation finances are a major limiting factor in the robustness of a strategy to our incomplete understanding. I discover that ‘subpopulation triage’ can be a natural consequence of robust decision-making. Uncertainty is not, however, always beyond our control. We can reduce it by diverting funding from management to collect data on our systems. This entails monitoring costs that must also be considered when making optimal conservation decisions. There are a number of reasons why we could monitor; to reduce our uncertainty in the status of threatened species where management is driven by species status; to aid learning about a component of the system we are managing; for both initial surveillance and adaptive approaches; and to report on the performances of conservation action to stakeholders. In chapter four I assess the benefit of initial surveillance to gain information on biodiversity value before we acquire a land parcel for the reserve network. The risk here is that the land parcel may be removed from the market during surveying. I describe both an optimal method, using stochastic dynamic programming (SDP), and a simple rule of thumb, for how to make such decisions. The solutions to this problem illustrate how optimal conservation is necessarily dynamic and that immediate implementation of a conservation plan may not always yield the best conservation outcome. Learning does not always need to take place in the absence of management. In chapter five I investigate adaptive learning for a threatened species where we must discriminate between multiple hypotheses of how the system works by implementing different management actions. We find that the optimal action depends on our belief in each model being the true model of our system, the benefit from each action under each model, and the number of sites available to implement an active adaptive strategy. In chapter six I investigate when one should learn about the state of the system through monitoring when management is state-dependent. Here our management of subpopulations of a threatened species is based on whether these subpopulations persist. I ask when should we survey or manage a subpopulation, and when, if ever, should we do nothing in a subpopulation of a threatened species. I find that management actions should not only be driven by the return on investment gained by managing a subpopulation but also by our certainty of the persistence of a subpopulation. This is the first work to show a direct trade-off between return on investment from conservation action and reduced uncertainty. One key evaluation method currently adopted worldwide is the use of ‘State of the Environment’ reporting. In chapter seven I assess the flaws of ‘State of the Environment’ reporting, the current method adopted worldwide for evaluating conservation policy. I show the positive biases inherent in such reporting and provide a new metric for reporting on conservation performance that is simple, transparent and provides an unbiased report on performance in reaching conservation objectives. I show that without honest reporting of conservation gains – and losses – we limit our ability to assess where we are in terms of conservation progress. Overall my thesis shows the need for managers to consider a triage approach to threatened species management, not as a process of giving up, but as a tool for ensuring species persistence in light of the urgency of most conservation requirements and the realities of financial and knowledge limitations. Indeed if conservation is a field dedicated to the protection of biodiversity then those responsible for decision-making––politicians, scientists and environmental managers––must use whatever approach gives the best outcome for the environment. Under current limitations, triage is often a necessity not an option.

The goal of biodiversity conservation has been described as the conservation of diversity at three levels: ecosystem, species and genetic diversity. Developing a representative system of marine protected areas is considered an effective way to achieve this goal in the marine environment. The growing concern associated with threats to the marine environment has resulted in an increased demand for marine reserves (i.e. no-take areas) that conserve representative and adequate examples of biodiversity. Often, the decisions about where to locate reserves must be made in the absence of detailed information on the patterns of distribution of the biota. Alternative approaches are required that include defining habitats as surrogates for biodiversity. The development of biodiversity surrogates at fine-scales (i.e. habitats) will have an increasingly important role in the identification of sites that will contribute to a representative system of marine protected areas. This is because it will increase the likelihood that the system will adequately achieve biodiversity objectives by ensuring protection of a greater range of habitats and species. Surrogate measures of biodiversity enable decisions about where to locate marine reserves to be made more reliably in the absence of detailed data on the distribution of species. There is concern, however, about the reliability of surrogate measures to represent biotic diversity and the use of such measures in the design of marine reserve systems. Currently, surrogate measures are most often based on broad-scale (100s to 1000s of kilometres) bioregional frameworks that define general categories (sandy beach, rocky shore) for intertidal systems. These broad-scale categories are inadequate when making decisions about conservation priorities at the local level (10s to 100s of metres). This study provides an explanation of an intertidal shoreline habitat surrogate (i.e. shoreline types) used to describe 24,216 kilometres of Queensland’s coastline. The protective status of shoreline types was evaluated to assist with designing a representative system of intertidal marine protected areas. The shoreline types derived using physical properties of the shoreline were used as a surrogate for intertidal biodiversity to assist with the identification of sites for inclusion in a candidate system of intertidal marine reserves for 17,463 kilometres of the mainland coast of Queensland, Australia. This represents the first systematic approach, on essentially one-dimensional data, using fine-scale (10s to 100s of metres) intertidal habitats to identify a system of marine reserves for such a large length of coast. A range of solutions would provide for the protection of a representative example of shoreline types in Queensland. Shoreline types were used as a surrogate for intertidal biodiversity (i.e. habitats, microhabitats) to assist with the identification of sites to be included in a representative system of marine reserves in south east Queensland. The use of local-scale shoreline types increased the likelihood that sites identified for conservation achieved representation goals for the mosaic of habitats and microhabitats, and therefore the associated biodiversity present on rocky shores, than that provided by the existing marine reserve protection in south east Queensland. These results indicate that using broad-scale surrogate measures (rocky shore, sandy beach) for biodiversity (habitats, microhabitats and species) are likely to result in poor representation of fine-scale habitats and microhabitats, and therefore intertidal assemblages in marine reserves. When additional fine-scale data were added to reserve selection the summed irreplaceability of 24% (for spatial extent of habitats), and 29% (for presence/absence of microhabitats) of rocky shore sites increased above zero, where a value close to one means a site is necessary, for inclusion in a reserve system, to meet conservation targets. The use of finer-scale physical data to support marine reserve design is more likely to result in the selection of reserves that achieve representation at habitat and microhabitat levels, increasing the likelihood that conservation goals will be achieved. The design and planning of marine and terrestrial protected areas systems should not be undertaken independently of each other because it is likely to lead to inadequate representation of intertidal habitats in either system. The development of reserve systems specially designed to protect intertidal habitats should be integrated into the design of terrestrial and marine protected area systems. Marine reserve networks are a necessary and effective tool for conserving marine biodiversity. They also have an important role in the governance of oceans and the sustainable management of marine resources. The translation of marine reserve network theory into practice is a challenge for conservation practitioners. Barriers to implementing marine reserves include varying levels of political will and agency support and leadership, poorly coordinated marine conservation policy, inconsistencies with the use of legislation, polarised views and opposition from some stakeholders, and difficulties with defining and mapping conservation features. The future success of marine reserve network implementation will become increasingly dependent on: increasing political commitment and agency leadership to remove conflicts within and between government agencies involved in site identification and selection; greater involvement and collaboration with stakeholders; and the provision of resources to define and map conservation features. Key elements of translating marine reserve theory into implementation of a network of marine reserves are discussed based on approaches used successfully in New Zealand and New South Wales (Australia).

A systematic approach to planning, decision-making and management has become best-practice in conservation over the past two of decades. The field of ‘systematic conservation planning’ is concerned with identifying cost-effective places and actions to protect biological diversity. Past research has focused on static assessments. However, given the fact that biological diversity and processes that threaten its persistence vary in space and time, conservation assessments might need to be made in a dynamic context. In addition, we must explicitly account for the trade-offs associated with implementing conservation actions and investing in improved knowledge and learning to reduce uncertainty on where, how and when to act. The aim of this thesis was to develop novel approaches for accounting for both ecosystem dynamics and uncertainty in conservation planning. Ecosystems are generally treated as static in conservation planning despite many being spatially and temporally dynamic. For example, pelagic marine ecosystems are quite dynamic because ecological processes, such as eddies, that produce resources that many species depend on can be erratic. In chapter two we explored the issue of developing a system of fixed protected areas that consider the physical and biological dynamics typical of the pelagic realm. The approach was to maximize the representation of key fisheries species and species of conservation concern due to significant declines in their abundance, within a network of protected areas. We also ensured that protected area design reflected system dynamics and this was achieved by representing key oceanographic process (such as upwellings and eddies), and biological processes (such as the abundance of small pelagic fish) in protected areas. To account for the variability where these processes occur, we used time series data to find both predictable areas and anomalies, assuming that their past location was somewhat reflective of their future locations. Implementing conservation actions that are fixed in space and time are probably not the most effective strategy in ecosystems that are dynamic. This is because of the movements of particular species. For example, many species have distributions and abundances that change seasonally and might only require temporary management in particular areas. In chapter three, we tested the utility of three approaches to implementing fisheries closures to reduce bycatch in the South African Longline Fishery; 1) time closures, 2) permanent spatial closures and 3) episodic spatial closures. In chapter three, we identified these closures using an existing database containing catch and bycatch data from 1998 to 2005. There was variation where and when different species were caught as bycatch, and it was determined seasonal area closures were the best strategy. This was because it achieved the same conservation objectives for bycatch species as the other types of closures, but impacted less on the long-lining industry. While this result is intuitive, it demonstrated quantitatively, how much more effective moveable management can be. Decisions on where conservation actions are implemented are always based on incomplete knowledge about biological diversity. It is generally assumed that gathering more data is a good investment for conservation planning. However, data can take time and incur costs to collect and given habitat loss, there are both costs and benefits associated with different levels of investments in knowledge versus conservation implementation. In chapter four, the aim was to determine the return on investment from spending different amounts on survey data before undertaking a program of implementing new protected areas. We found that, after an investment of only US$100,000, there was little increase in the effectiveness of conservation actions, despite the full species dataset costing at least 25 times that amount. Surveying can take time because of expertise limitations, logistics and funding shortfalls. Biological diversity may be lost while data collection occurs conversely, not collecting enough data can lead to erroneous decisions. Additionally, resources spent on learning may be better spent on other actions. In chapter five, in a series of retrospective simulations, we compared the impact of spending different amounts of time collecting biological data prior to the implementation of new protected areas. The aim was to find the optimal survey period given the trade-off between gaining knowledge to improve conservation decisions while there is concurrent loss of habitat. We discovered that surveying beyond two years rarely increased the effectiveness of conservation decisions, despite a substantial increase in the knowledge of species distributions. Often there are choices between different actions and uncertainty as to which are the most effective. In chapter six, we discuss how the principles of adaptive management might be applied to conservation planning. Improving future management decisions through learning should be viewed as essential in all conservation plans but such learning is often included as a minor step, or is completely ignored. In this chapter we provide a brief overview of an adaptive framework for conservation planning and ideas for future research.

A systematic approach to planning, decision-making and management has become best-practice in conservation over the past two of decades. The field of ‘systematic conservation planning’ is concerned with identifying cost-effective places and actions to protect biological diversity. Past research has focused on static assessments. However, given the fact that biological diversity and processes that threaten its persistence vary in space and time, conservation assessments might need to be made in a dynamic context. In addition, we must explicitly account for the trade-offs associated with implementing conservation actions and investing in improved knowledge and learning to reduce uncertainty on where, how and when to act. The aim of this thesis was to develop novel approaches for accounting for both ecosystem dynamics and uncertainty in conservation planning. Ecosystems are generally treated as static in conservation planning despite many being spatially and temporally dynamic. For example, pelagic marine ecosystems are quite dynamic because ecological processes, such as eddies, that produce resources that many species depend on can be erratic. In chapter two we explored the issue of developing a system of fixed protected areas that consider the physical and biological dynamics typical of the pelagic realm. The approach was to maximize the representation of key fisheries species and species of conservation concern due to significant declines in their abundance, within a network of protected areas. We also ensured that protected area design reflected system dynamics and this was achieved by representing key oceanographic process (such as upwellings and eddies), and biological processes (such as the abundance of small pelagic fish) in protected areas. To account for the variability where these processes occur, we used time series data to find both predictable areas and anomalies, assuming that their past location was somewhat reflective of their future locations. Implementing conservation actions that are fixed in space and time are probably not the most effective strategy in ecosystems that are dynamic. This is because of the movements of particular species. For example, many species have distributions and abundances that change seasonally and might only require temporary management in particular areas. In chapter three, we tested the utility of three approaches to implementing fisheries closures to reduce bycatch in the South African Longline Fishery; 1) time closures, 2) permanent spatial closures and 3) episodic spatial closures. In chapter three, we identified these closures using an existing database containing catch and bycatch data from 1998 to 2005. There was variation where and when different species were caught as bycatch, and it was determined seasonal area closures were the best strategy. This was because it achieved the same conservation objectives for bycatch species as the other types of closures, but impacted less on the long-lining industry. While this result is intuitive, it demonstrated quantitatively, how much more effective moveable management can be. Decisions on where conservation actions are implemented are always based on incomplete knowledge about biological diversity. It is generally assumed that gathering more data is a good investment for conservation planning. However, data can take time and incur costs to collect and given habitat loss, there are both costs and benefits associated with different levels of investments in knowledge versus conservation implementation. In chapter four, the aim was to determine the return on investment from spending different amounts on survey data before undertaking a program of implementing new protected areas. We found that, after an investment of only US$100,000, there was little increase in the effectiveness of conservation actions, despite the full species dataset costing at least 25 times that amount. Surveying can take time because of expertise limitations, logistics and funding shortfalls. Biological diversity may be lost while data collection occurs conversely, not collecting enough data can lead to erroneous decisions. Additionally, resources spent on learning may be better spent on other actions. In chapter five, in a series of retrospective simulations, we compared the impact of spending different amounts of time collecting biological data prior to the implementation of new protected areas. The aim was to find the optimal survey period given the trade-off between gaining knowledge to improve conservation decisions while there is concurrent loss of habitat. We discovered that surveying beyond two years rarely increased the effectiveness of conservation decisions, despite a substantial increase in the knowledge of species distributions. Often there are choices between different actions and uncertainty as to which are the most effective. In chapter six, we discuss how the principles of adaptive management might be applied to conservation planning. Improving future management decisions through learning should be viewed as essential in all conservation plans but such learning is often included as a minor step, or is completely ignored. In this chapter we provide a brief overview of an adaptive framework for conservation planning and ideas for future research.

Since the first reserve selection algorithm was developed in the early 1980s, systematic approaches to reserve design have attracted widespread support due to their ability to identify repeatable and efficient solutions to conservation planning problems. Yet there has been limited application of these methods to the problem of designing reserve systems for biodiversity conservation in the marine environment. In my dissertation research, I apply systematic methods to examine four fundamental issues in marine reserve system design. These issues consider how conservation planning outcomes are influenced when design constraints such as spatial compactness, efficiency, economic costs and incremental reserve establishment are formulated as part of the reserve design problem. First, I consider the trade-offs between spatial design and cost efficiency. In particular, I examine how well marine reserve systems can satisfy the design requirement to minimise the degree of fragmentation whilst minimising reserve system cost. In this case cost refers to the number of sites required to achieve biodiversity conservation objectives. The second issue is the inefficiency of ad hoc marine reserve system design. In terrestrial systems, ad hoc reserve design has been shown to produce inefficient reserve systems, limiting opportunities to achieve conservation targets. I examine how efficiently South Australia’s existing marine reserves contribute to quantitative conservation targets and introduce a new measure of irreplaceability. This metric reflects the potential value of a site’s contribution to reservation goals, by assessing whether a site is selected more than could be expected from chance alone. Sites selected as often as would be expected by chance, fail to contribute to the design of efficient marine reserve systems and represent an opportunity cost. The third issue addresses the demands on reserve systems to achieve both conservation and socio-economic objectives. Options for the design of marine reserve systems, which achieve better economic outcomes for commercial users without compromising conservation targets, are examined using a cost function that serves to make trade–offs early in the design process. The fourth issue is one of shifting targets and incremental reserve design. The problem was most recently highlighted with the rezoning of the Great Barrier Reef Marine Park, where the amount of no-take areas increased from 5% to over 30% but the original zoning arrangements were left in place. The consequence this has on the efficiency of the final marine reserve system is examined when different starting targets are used as the base. Each issue is examined by formulating planning scenarios using data for South Australia’s state waters as a case study. The marine reserve systems are configured using the mathematical optimisation program MARXAN to examine the complex trade-offs of conservation planning problems. The program offers the flexibility to incorporate new approaches and developing theory in marine conservation into the formal statement of the reserve design problem. The results offer some important insights for the future of marine reserve system design. These include 1) efficient representation of biodiversity is only part of the reserve design problem, with small increases in reserve system cost reported as a trade-off for more spatially compact marine reserve systems, 2) despite spanning less than 4% of South Australian state waters, the existing ad hoc marine reserves presented considerable opportunity costs that did not improve even when conservation targets were increased. Hence ad hoc reserve selection is likely to constrain effective conservation of marine biodiversity by compromising the ability to select more suitable sites, 3) integrating conservation and socio-economic objectives presents opportunities to design representative, efficient and practical marine reserve systems that minimise potential loss to commercial users with only small increases to the areal extent of the reserve system and 4) incrementally changing target levels of reservation has a minor affect on the efficiency of the final reserve system, though is likely to influence which planning units are in the final reserve system.