Strategic Adaptive Management Research Articles

A Strategic Plan for Introducing, Implementing, Managing, and Monitoring an Urban Extension Platform

Florida's Strategic Plan for Extension in Metropolitan Regions reflects an adaptive management approach to the state's urban Extension mission within the context of establishing essential elements, performance indicators, key outcomes, and suggested alternatives for action. Extension leadership has adopted the strategic plan, and implementation efforts are under way. The successful future of urban Extension in Florida lies in fully embracing and monitoring the plan and recommendations therein. In this article, we describe the course of developing the strategic plan, which included the use of a modified Delphi process and a strategic adaptive management format. We encourage others to adapt our methods to develop plans to meet their specific needs and desired outcomes.

A Watershed Integrity Definition and Assessment Approach to Support Strategic Management of Watersheds

Watersheds are spatially explicit landscape units that contain a range of interacting physical, ecological and social attributes. They are social–ecological systems that provide a range of ecosystem services valued by the society. Their ability to provide these services depends, in part, on the degree to which they are impaired by human-related activity. An array of indicators is used by natural resource managers, both private and government, to assess watersheds and their sub-components. Often these assessments are performed in comparison with a reference condition. However, assessments can be hampered because natural settings of many systems differ from those sites used to characterize reference conditions. Additionally, given the ubiquity of human-related alterations across landscapes (e.g. atmospheric deposition of anthropogenically derived nitrogen), truly unaltered conditions for most, if not all, watersheds cannot be described. Definitions of ‘integrity’ have been developed for river ecosystems, but mainly at the reach or site scale and usually for particular species, such as fish or macroinvertebrates. These scales are inappropriate for defining integrity at the watershed scale. In addition, current assessments of endpoints do not indicate the source of impairment. Our definition of watershed ‘integrity’ is the capacity of a watershed to support and maintain the full range of ecological processes and functions essential to the sustainability of biodiversity and of the watershed resources and services provided to society. To operationalize this definition as an assessment tool, we identify key functions of unimpaired watersheds. This approach can then be used to model and map watershed integrity by incorporating risk factors (human-related alterations or stressors) that have been explicitly shown to interfere with and degrade key functions in watersheds. An advantage of this approach is that the index can be readily deconstructed to identify factors influencing index scores, thereby directly supporting the strategic adaptive management of individual components that contribute to watershed integrity. Moreover, the approach can be iteratively applied and improved as new data and information become available. © 2015 The Authors. River Research and Applications published by John Wiley & Sons Ltd.

Co-defining program success: Identifying objectives and indicators for a livestock damage compensation scheme at Kruger National Park, South Africa

Wildlife damage compensation schemes have been used worldwide as a mechanism to mitigate human–wildlife conflicts. These have had mixed success due to a number of factors, including a lack of shared understanding of the problem and how to monitor and evaluate effectiveness. The long history of damage-causing animals (DCAs) which exit the Kruger National Park (KNP), South Africa, inflicting damage on persons and property, increasing risk of disease transfer between wildlife and livestock, and seriously undermining the livelihoods of local communities, remains a contentious issue. As a partial response and within a strategic adaptive management framework, the park and its larger governing body, SANParks, have negotiated a wildlife damage compensation scheme with local communities, which entails financial retribution given to farmers who have previously lost livestock to DCAs originating from the park. A corollary scheme will see compensation paid to valid claims commencing from 2014. Here we present findings of a novel study undertaken with KNP staff, livestock farmers, and others to co-identify potential indicators of an objective-based participatory monitoring and evaluation program for the scheme. Based on a multi-method approach, a wide array of goals and objectives were articulated for the scheme. In addition, 88 program indicators were generated as potential measures to monitor change. This suite of indicators is both qualitative and quantitative in nature and, if adopted in whole or in part, would enlist the involvement of a broad range of stakeholders. The first step at consolidating these indicators are presented, and are based on information sources, methodological tools, and institutions responsible for monitoring.

Integrative learning for practicing adaptive resource management

Adaptive resource management is a learning-by-doing approach to natural resource management. Its effective practice involves the activation, completion, and regeneration of the management cycle while working toward achieving a flexible set of collaboratively identified objectives. This iterative process requires application of single-, double-, and triple-loop learning, to strategically modify inputs, outputs, assumptions, and hypotheses linked to improving policies, management strategies, and actions, along with transforming governance. Obtaining an appropriate balance between these three modes of learning has been difficult to achieve in practice and building capacity in this area can be achieved through an emphasis on reflexive learning, by employing adaptive feedback systems. A heuristic reflexive learning framework for adaptive resource management is presented in this manuscript. It is built on the conceptual pillars of the following: stakeholder driven adaptive feedback systems; strategic adaptive management (SAM); and hierarchy theory. The SAM Reflexive Learning Framework (SRLF) emphasizes the types, roles, and transfer of information within a reflexive learning context. Its adaptive feedback systems enhance the facilitation of single-, double-, and triple-loop learning. Focus on the reflexive learning process is further fostered by streamlining objectives within and across all governance levels; incorporating multiple interlinked adaptive management cycles; having learning as an ongoing, nested process; recognizing when and where to employ the three-modes of learning; distinguishing initiating conditions for this learning; and contemplating practitioner mandates for this learning across governance levels. The SRLF is a key enabler for implementing the management cycle, and thereby translating the theory of adaptive resource management into practice. It promotes the heuristics of adaptive management within a cohesive framework and its deployment guides adaptive resource management within and beyond typical single-loop learning, across all governance levels.

Toward More Effective Benefit Sharing in South African National Parks

More examples of positive and negative outcomes of community-based conservation initiatives aimed at benefit sharing are surfacing globally, and there is increasing interest in who wins and who loses at multiple scales. However, the term “benefit sharing” is not well defined in the context of protected areas, hindering the effective implementation thereof. We define benefit sharing as the process of making informed and fair trade-offs between social, economic, and ecological costs and benefits within and between stakeholder groups, and between stakeholders and the natural environment. We explore identifying appropriate benefits in certain contexts and monitoring benefit sharing initiatives using relevant qualitative and quantitative indicators. Finally, we use an illustrative case study of mopane worm harvesting from the Kruger National Park in South Africa to explore how benefit sharing as defined in the article can be implemented using a strategic adaptive management approach during the planning, assessment, and reporting phases.

The development of a tourism research framework by South African National Parks to inform management

Tourism is critical source of financing for conservation in Africa. South African National Parks (SANParks) raises in excess of 80% of their own funds through tourism revenue. SANParks has a culture of co-learning between scientists and conservation managers through a process known as strategic adaptive management (SAM). Despite the critical role that tourism plays in SANParks, it has, until recently, not been formally incorporated in the SAM process. Moreover, SANParks recently adopted a new responsible tourism policy to guide the development and management of tourism across all national parks. The new policy calls for tourism that supports biodiversity conservation, is environmentally efficient and socially responsible. In 2011, SANParks initiated a tourism research programme to support the incorporation of tourism in SAM and to provide enabling information for the implementation of the responsible tourism policy. This article summarised the development of the tourism research programme in SANParks and its key research themes. Conservation implications: An active tourism research programme that integrates science and management is necessary for tourism to play a stronger role in delivering outcomes for conservation, neighbouring communities and broader society.

The spread and maturation of strategic adaptive management within and beyond South African national parks

Freitag, S., H. Biggs, and C. Breen. 2014. The spread and maturation of strategic adaptive management within and beyond South African national parks. Ecology and Society 19(3): 25. https://doi.org/10.5751/ES-06338-190325

Savanna woody vegetation classification – now in 3‐D

AbstractQuestionThe co‐existence of woody plants and grasses characterize savannas, with the horizontal and vertical spatial arrangement of trees creating a heterogeneous biotic environment. To understand the influence of biogeophysical drivers on the spatial patterns of 3‐D structure of woody vegetation, these patterns need to be explained over large areas to capture the context. Is there a spatially explicit, ecologically meaningful way to capture the patterns and context of 3‐D woody vegetation structure?LocationClassification development and testing sites: landscapes in Bushbuckridge Municipality, Sabi Sand Wildtuin and Kruger National Park, Mpumalanga province, north‐east South Africa.MethodsThe aforementioned structural classification approach requires appropriate 3‐D and spatially explicit remote sensing data. A LiDAR‐based canopy height model (CHM) and volumetric pixel (voxel) data from the Carnegie Airborne Observatory Alpha system were used to create the structural classification. First, we segmented theCHMimages using multi‐threshold and multi‐resolution image segmentation techniques, and classified the image segments into four height classes, namely shrub (1–3 m), low tree (3–6 m), high tree (6–10 m) or tall tree (>10 m). A hierarchicala prioriapproach was used to develop classification criteria. The following metrics were calculated for 0.25‐ha grid cells based on the cover and spatial arrangement of the four height classes: canopy cover, sub‐canopy cover, canopy layers, Simpson's diversity index and cohesion. Top of canopy vegetation was classified using each metric at the 0.25‐ha scale, with canopy cover being the primary classification metric. Subsequently, individual layers identified within the canopy were classified using the voxel data. We use a code system for describing classes to ensure standardization between different regions; a more traditional naming system may be used in addition for interpretation.ConclusionThis system provides a more comprehensive classification of the horizontal and vertical structural diversity of savannas compared to the traditional vegetation classification systems. The description of multi‐layers within the canopy should allow for a sensitive change detection method. The classification can be used in many current focus areas, including habitat suitability mapping for biodiversity conservation, strategic adaptive management and monitoring land‐cover change.

Using flow guilds of freshwater fish in an adaptive management framework to simplify environmental flow delivery for semi‐arid riverine systems

AbstractFreshwater rivers have been substantially altered by development and flow regulation. Altered hydrological regimes have affected a range of biota, but impacts are often most obvious on freshwater fish. Flow largely influences the range of physical habitat available to fish at various life history stages. Biological rhythms are therefore often linked to flow and optimized so that opportunities for spawning, growth and dispersal are synchronized. Assuming that flow therefore becomes the main factor which structures freshwater fish communities, the use of species specific biological information should be able to inform adaptive flow delivery strategies from the river reach to catchment scale. A test of this assertion was performed as a case study of native fish within the Edward‐Wakool River system (New South Wales, Australia). Fish within the system were assigned to one of four groups based on biological similarity. Aspects of reproductive and movement ecology were then reviewed to generate optimal flow release strategies for each group. Life expectancy and hydrological constraints were then investigated and used to develop a possible 10‐year flow delivery program that could generate ecological outcomes within a strategic adaptive management framework that considered potential impacts on third parties. The approach could be used to develop flow characteristics to benefit biota in any watercourse provided enough data are available to link potential outcomes with flow delivery.

Principles for the monitoring and evaluation of wetland extent, condition and function in Australia

The monitoring of resource condition is receiving renewed attention across several levels of government in Australia. This interest is linked to substantial investment in environmental remediation and aquatic ecosystem restoration in particular. In this context, it is timely to consider principles which ought to guide the development and implementation of monitoring programmes for wetland ecosystems. A framework is established which places monitoring in the context of the strategic adaptive management of wetlands. This framework requires there has to be clear goals for the extent and condition of the resource, with these goals being defined within thresholds of acceptable variability. Qualitative and, where possible, quantitative conceptual models linking management interventions to management goals should be the basis of indicator selection and assessment. The intensity of sampling ought to be informed by pilot surveys of statistical power in relation to the thresholds of acceptable variability identified within the management plan.

History, rationale, and lessons learned: Thresholds of potential concern in Kruger National Park river adaptive management

The Kruger National Park’s (KNP) adopted system of management, called Strategic Adaptive Management (SAM), originated during the Kruger National Park Rivers Research Programme (KNPRRP) of the 1990s. An important concept in SAM is the thresholds of potential concern (TPCs), representing end-points in a continuum of change. TPCs within the KNP SAM system guide management if or when reached, ‘red-flagging’ possible negative biodiversity impacts and catalysing consideration of management options. TPC-related monitoring generates the strategic information for ongoing evaluation, learning and adaptation within SAM. Post- KNPRRP, although river flow and water quality TPCs have been implemented partly, those designed to detect undesirable changes in biodiversity have not been implemented, until recently. This paper describes the history, rationale, application and ongoing developments associated with the KNP river TPCs over the last decade, providing some key lessons for organisations utilising SAM. The paper concludes with an overview of new thinking and future directions envisaged for the KNP river TPCs, as part of the KNP SAM system. Conservation implications: This paper documents important concepts of strategic adaptive management associated with the KNP river systems. Understanding, related to the rationale and justification for use and development or refinement of the thresholds of potential concern, lays an important foundation for ongoing work in managing these rivers adaptively.

Advances and challenges in the implementation of strategic adaptive management beyond the Kruger National Park – Making linkages between science and biodiversity management

South African National Parks (SANParks) makes use of strategic adaptive management (SAM) to achieve its primary mandate of biodiversity conservation. This involves an iterative adaptive planning, management and review cycle to ensure appropriate alignment of stakeholder values with conservation objectives, to address the uncertainty inherent in complex social– economic–ecological systems and to learn explicitly whilst doing so. Adaptive management is recognised as the most logical framework for continuous improvement in natural resource management; nevertheless, several challenges in its implementation remain. This paper outlined these challenges and the various modifications to SANParks’ adaptive planning and management process that have emerged during its development. We demonstrated how the establishment of a regular Science–Management Forum provides opportunities for social colearning amongst resource managers and scientists of a particular park, whilst providing other positive spin-offs that mature the SAM process across the organisation. We discussed the use of particular conceptual constructs that clarify the link between monitoring, management requirements and operational endpoints, providing the context within which Thresholds of Potential Concern (TPCs) should be set, prioritised and measured. The evolution of the TPC concept was also discussed in the context of its use by other organisations, whilst recognising its current limitations within SANParks. Finally, we discussed remaining implementation challenges and uncertainties, and suggested a way forward for SAM.Conservation implications: This paper outlined practical methods of implementing SAM in conservation areas, beyond what has already been learnt within, and documented for, the Kruger National Park. It also highlighted several implementation challenges that prove useful to other conservation agencies planning to adopt this approach to managing complex ecosystems.

Taking stock after a decade: Does the ‘thresholds of potential concern’ concept need a socio-ecological revamp?

The concept of thresholds of potential concern (TPCs) as implemented for the last decade in strategic adaptive management in South African National Parks (SANParks), has proved workable in practice in a number of instances, but in others appears beset by conceptual and practical limitations or barriers. Three common challenges relate to (1) situations where there is uncertainty about whether and where real thresholds exist, (2) whether and how preferences and other social constructs, as opposed to what were seen as objective biophysical variables only, can be used for TPCs and (3) whether it is admissible to adjust TPCs to allow for variations in societal behaviour, in particular rate of management response. All three challenges arise in the face of TPC objectivity implied by the original definition, and in the light of the original view that TPCs be set some distance prior to a presumed ecological threshold. This paper suggests that the three challenges can be partly or largely dealt with by the use of a wider socio-ecological view, rather than seeing TPCs in isolation or as being only biophysical. Also, while detection of abrupt changes is helpful, it makes little practical difference if some TPCs happen to describe linear processes. The very decision to intervene can induce an abrupt change. Once a wider socio-ecological approach is employed, it becomes necessary for the user to specify the particular usage envisaged for the TPC, for instance, whether it is considered a preference and whether that preference is believed in any way to be related to an ecological threshold. In all cases, it is recommended that some form of explicit representation of the socio- ecological view is constructed – we suggest a cause-and-effect diagram (and give an example generated through a thought experiment) which describes presumed relationships in the subsystem of interest. This provides a broader systemic context and a shared understanding, and has implications for considering scenarios and management alternatives. For practical reasons, from the several states and processes in such a subsystem, only a few links can be chosen on which to base particular TPCs. If we have understood the subsystem well enough, these few links, at each of which a TPC is developed, will act as diagnostic points at which we can monitor the performance of the subsystem adequately. A broadened definition of a TPC is presented, supporting this approach.Conservation implications: The concept of thresholds (initially ecological thresholds) has started influencing conservation management practice, a commonly-used formulation for management decision-making being the threshold of potential concern (TPC). Practical TPC usage can often be improved by moving away from its initially pure ecological outlook, rather framing understanding through an interlinked socio-ecological view.

From numbers to ecosystems and biodiversity: A mechanistic approach to monitoring

Diverse political, cultural and biological needs epitomise the contrasting demands impacting on the mandate of the South African National Parks (SANParks) to maintain biological diversity. Systems-based approaches and strategic adaptive management (learn by doing) enable SANParks to accommodate these demands. However, such a management strategy creates new information needs, which require an appropriate analytical approach. We use conceptual links between objectives, indicators, mechanisms and modulators to identify key concerns in the context of and related to management objectives. Although our suggested monitoring designs are based mostly on defined or predicted underlying mechanisms of a concern, SANParks requires inventory monitoring to evaluate its key mandate. We therefore propose a predictive inventory approach based on species assemblages related to habitat preferences. Inventories alone may not always adequately serve unpacking of mechanisms: in some cases population size needs to be estimated to meet the information needs of management strategies, but actual population sizes may indirectly affect how the species impact on other values. In addition, ecosystem objectives require multivariate assessments of key communities, which can be used in trend analysis. SANParks therefore needs to know how to detect and define trends efficiently, which, in turn, requires precision of measures of variables. Conservation implications: Current research needs with regard to monitoring should focus on defining designs to yield optimal precision whilst taking methodology, survey trade-offs and analytical approaches into account. Use of these directives and research will guide monitoring during evaluation of SANParks objectives at various scales.

River management under transformation: The emergence of strategic adaptive management of river systems in the Kruger National Park

Protected areas such as the Kruger National Park (KNP) face many management challenges, of which ensuring a healthy flow of rivers into the park is one of the most important. Although previous management policies isolated the KNP from its neighbours, this position has changed as the KNP seeks to negotiate a respected ‘place’ for water and conservation in a competitive environment. A major catalyst for this re-orientation has been the response from the KNP to the growing water crisis where its position needed to be seen within the wider catchment and policy context in South Africa. This paper presents an overview of the transforming management practices of the KNP in a changing political, socio-economic and environmental context, through the lens of water resources. We show that the KNP management model moved beyond inward-looking, isolationist policies to adopt responsivity to major change factors. The new approach was applied first in the sphere of river management in the KNP after which it spread to other domains such as fire and game management. It explicitly incorporates an experimental–reflexive orientation and considers management as a process of learningby- doing. This paper strives to review the transformation since the onset of explicit adaptive management of these rivers. The development of a new stewardship, based on a stakeholdercentred vision and on learning-focused management, has been a main achievement for the KNP. A closer partnership between researchers, managers and field staff, supported with buyin and co-learning, has led to a management framework based on a clear vision informed by stakeholder involvement, an objectives hierarchy, a scoping of management options, a monitoring system and a reflective evaluation process with feedback loops. Although developed through a focus on rivers, the framework can be embraced for the management of ecosystems as a whole.Conservation implications: The explicit adoption of strategic adaptive management for the rivers entering the KNP has had considerable implications not only with regard to management practice within the park, but also for the relationships with neighbours. This has also meant setting and implementing new goals and priorities with managers and staff.

Implementing invasive species management in an adaptive management framework

Adaptive management theory has attracted substantial interest in recent years, in natural resource management in general and also for invasive alien species management. However, whilst many theoretical and conceptual advances have been made, documented cases of practical applications are rare. Coupling invasive species management components with adaptive feedback processes is not without challenges, requiring a substantial change in the thinking and practice of all those involved. Drawing on a decade of experience in South African National Parks, we suggest an approach to implementing adaptive management for controlling invasive alien species. Whilst efforts have been made to advance components of the overall management strategy, the absence of a framework for decision making and feedback mechanisms, inflexibility in the system and shortcomings in the governance structure are all identified as barriers to learning and knowledge integration for the purposes of effective invasive alien species management. The framework provided here, encompassing documents, committees and processes, is aimed at addressing these shortcomings.Conservation implication: Adaptive management theory offers a robust tool for managing inherently complex systems. Its practical application, however, requires distilling the theory into useable functions. We offer a framework to advance implementation of strategic adaptive management for the control of invasive alien species using experiences gained from South African National Parks.

The development and application of strategic adaptive management within South African National Parks

CITATION: Roux, D. J. & Foxcroft, L. C. 2011. The development and application of strategic adaptive management within South African national parks. Koedoe, 53(2):a1049, doi:10.4102/koedoe.v53i2.1049.

Science support within the South African National Parks adaptive management framework

‘Behind all good science is good science support.’ Implementing a successful strategic adaptive management (SAM) framework requires an effective science support structure. This structure must be effective in all areas of data management, starting with data collection and ending with the dissemination of knowledge, to facilitate timeous management decisions and associated actions. Accordingly, South African National Parks has embraced the use of various technologies to enable the effective implementation of a functional support structure. This paper described these technologies and discussed how they benefit the implementation of the SAM framework.Conservation implications: The importance of functional support structures in science and conservation management is frequently undervalued in a system where emphasis is placed on scientific products. In order to promote research and facilitate analysis, sound data management practices are essential to integrating knowledge into an organisation’s institutional memory.

Strategic Adaptive Management in freshwater protected areas and their rivers

Aquatic ecosystems are connected over large spatial scales, have varied drivers, strong and often conflicting societal interests and interacting management processes. Many of the world’s protected areas (>100,000, ∼12% of land) include freshwater ecosystems, some specifically declared for freshwater protection, but often supplied by rivers outside their protected boundaries. Such complex socio-ecological systems have considerable challenges. We report on Strategic Adaptive Management (SAM), a management framework that should be implemented, irrespective of resourcing, in protected areas of any river system, ranging from heavily managed or regulated through to pristine rivers. We briefly outline the four stages of the SAM process for aquatic protected areas and present three case studies from South Africa and Australia in different stages of SAM implementation. Progress is incremental, reflecting gaps, problems, and socio-ecological dynamism. Real-world implementation usually means such management is passive although experimentation with environmental flows remains possible. While maturity in SAM is incremental over years or decades, it can and should be applied even if environmental problems are urgent and contentious. The stages of SAM should produce an agreed vision and/or mission among stakeholders, with an appropriate hierarchy of objectives that determines indicators to be measured, allowing ongoing reflection, learning and adaptation. There is no panacea for achieving aquatic conservation, but Strategic Adaptive Management offers hope with its interlinked processes for navigating complexity and learning. SAM in freshwater conservation is progressing because of the imperative for sustainability, history of interaction between scientists and managers and the need for transdisciplinary governance of rivers.

Developing thresholds of potential concern for invasive alien species: Hypotheses and concepts

The Kruger National Park (KNP) has developed and refined a system of management called ‘strategic adaptive management’ (SAM), which rests on the concept of ‘threshold of potential concern’ (TPC). TPCs represent end-points in a continuum of change. When thresholds are reached – at which point concerns of negative impacts on biodiversity are raised – management options are explicitly considered and implemented. This paper describes the TPCs developed for monitoring and managing invasive alien species (IAS). More importantly, however, it describes the conceptual understanding, principles and hypotheses adopted as the foundations for setting these TPCs. In accordance with adaptive management practices, the TPCs will be revised as the ecological and conceptual understanding of invasions grows and information is gained through research in the KNP and elsewhere.Conservation implication: In accepting that species and systems are variable, and that flux is inevitable and desirable, these TPCs developed for invasive alien species specifi cally, provide end points against which monitoring can be assessed. Once a threshold is reached, the cause of the threshold being exceeded is examined and management interventions recommended.