Michael Drescher

Toward rigorous use of expert knowledge in ecological research

Practicing ecologists who excel at their work (“experts”) hold a wealth of knowledge. This knowledge offers a wide range of opportunities for application in ecological research and natural resource decision-making. While experts are often consulted ad-hoc, their contributions are not widely acknowledged. These informal applications of expert knowledge lead to concerns about a lack of transparency and repeatability, causing distrust of this knowledge source in the scientific community. Here, we address these concerns with an exploration of the diversity of expert knowledge and of rigorous methods in its use. The effective use of expert knowledge hinges on an awareness of the spectrum of experts and their expertise, which varies by breadth of perspective and critical assessment. Also, experts express their knowledge in different forms depending on the degree of contextualization with other information. Careful matching of experts to application is therefore essential and has to go beyond a simple fitting of the expert to the knowledge domain. The standards for the collection and use of expert knowledge should be as rigorous as for empirical data. This involves knowing when it is appropriate to use expert knowledge and how to identify and select suitable experts. Further, it requires a careful plan for the collection, analysis and validation of the knowledge. The knowledge held by expert practitioners is too valuable to be ignored. But only when thorough methods are applied, can the application of expert knowledge be as valid as the use of empirical data. The responsibility for the effective and rigorous use of expert knowledge lies with the researchers.

What Is It like to Take Care of the Land? toward an Understanding of Private Land Conservation

Abstract Land conversion for agriculture, residential developments and infrastructure expansion is one of the main problems in environmental conservation. Government policies for public lands alone are unlikely to stem these dynamics. It is increasingly recognized that private land conservation is an essential part of environmental protection and especially properties of non-farm, private landowners are interesting for conservation purposes. However, non-farm, private landowners are less likely to respond to traditional motivators for environmental conservation and little is known about the conservation attitudes and values of this group. To gain a better understanding of private land conservation, the current study explored the relationships of 13 non-farm, private landowners with their land and its natural environment. Interpretive Phenomenological Analysis was used as the approach because of its practical ability to reveal how personal contexts and experiences shape these relationships and how personal meaning is created. The results indicate that private landowners can have strong, affective relationships with their land that are associated with childhood histories of rural living and the enjoyment of natural spaces. These relationships increase quality of life, give a sense of belonging, and motivate a desire to protect the land against environmental degradation. The present private landowners expressed a well-developed conservation ethic. However, future conservation approaches for these properties are less clear, but might be achieved through conservation easement programs.

Comparing two sets of forest cover change knowledge used in forest landscape management planning

Forecasts of future resource states are central to resource management planning. Many simulation models and planning tools are used to produce such forecasts and apply knowledge of resource change dynamics as key input. Consistency among knowledge sources is therefore important to avoid knowledge ambiguity and uncertainty in resource forecasts and management plan outcomes. Using Ontarios boreal forest landscape as a case study, this paper examined two knowledge sources of forest resource change, practitioner expertise and research studies, commonly applied in plans and policies for large forest landscapes. The two knowledge sources were quantitatively compared by constructing networks of forest cover change for both sources and determining their agreement in structure and transition times. Some networks agreed well, indicating little knowledge ambiguity and comparatively low uncertainty if they were used to forecast forest landscapes. Other networks showed low agreement, thus indicating higher knowledge ambiguity and a dilemma of choice for forest landscape planners who may have to select from these knowledge sets. It is suggested that knowledge disagreements may be widespread in knowledge-driven management planning of many natural resource types and their causes similar. These disagreements signal areas of knowledge uncertainty, where resource planners must address resulting uncertainty of management outcomes and research should focus on improving resource change knowledge.

Eliciting Expert Knowledge of Forest Succession Using an Innovative Software Tool

Professionals add a wealth of experiential knowledge to the application of scientific data and the implementation of procedures in many fields of work. In the forestry sector, expert knowledge is used in developing strategic plans for forest management, including large-scale land-use planning to manage the timber supply (OMNR 2010), or for conservation planning (McNay et al. 2005, 2006). Tactical applications of expert knowledge in forestry include landscape mapping (Walton and Meidinger 2006) and forest management operations (Willoughby and Thomson 2004; Bone et al. 2007). Despite the common use of expert knowledge in forestry applications, this use is neither formal nor rigorous, and the knowledge is often implicit and latent, with unknown characteristics and reliability.

Implementing wildlife-management strategies into road infrastructure in southern Ontario: a critical success factors approach

Wildlife-road conflict has profound negative impacts on both wildlife populations and society. Despite a long-held understanding of this problem, in most regions the wildlife-management strategies (WMS) available to mitigate this conflict are still relatively underutilized. This study examines the implementation of these strategies into road infrastructure, using Southern Ontario as a case study, in order to develop an understanding of what leads to successful WMS implementation. The project management concept of critical success factors was applied and interviews with project decision-makers and key stakeholders were conducted. Nine factors were identified and a comparison between a ‘smooth’ and ‘rough’ project is used to illustrate the cumulative effects that these factors, and their interrelationships, have on project implementation success. Practitioners can use these findings to evaluate WMS projects based on likelihood of success and allocate resources accordingly, ultimately leading to increased chances of implementation and overall benefit to conservation and society.

A systematic review of transparency in the methods of expert knowledge use

The use of expert knowledge (EK) as an alternative to empirical data is increasing in the ecological disciplines in response to the growing need for rapid decisions that are embraced by local communities and implemented under strong resource constraints. Despite this increasing use, the validity of EK as a data source is still questioned by some who label it as biased or unreliable. Transparency in the methods applied in the use of EK allows confirmation of methodological rigour and study repeatability; key steps towards promoting the acceptance of EK as a valid data source. However, the practiced levels of methodological transparency in EK use are currently unknown in the ecological disciplines. To fill this knowledge gap, we performed a systematic review of transparency in methods applied in the use of EK, focusing on research in forest ecology and management as a case study. Covering the period from 1990 to 2016, we identified 296 publications that employed EK, which were assessed for their reporting on 15 methodological criteria of EK use. Our results indicate that transparency in the use of EK is generally very low, with only three out of 15 methodological criteria addressed in more than 50% of publications. Nevertheless, overall reporting on EK methods, and the reporting of four individual methodological criteria, were positively affected by publication year, suggesting that researchers increasingly recognize the importance of transparency in the use of EK methods. Synthesis and applications. Given the growing use of expert knowledge (EK) in the ecological disciplines, there is an urgent need to further its acceptance as a valid data source. To achieve this goal, researchers need to be more diligent in following best practices and reporting on EK methods. We therefore present a proposed set of guidelines for the reporting of EK methods. However, journal editors and reviewers also can play an important role in reaching this goal by requiring authors to transparently report on EK methods, just as they would expect for the use of empirical data.

The practice and promise of private land conservation

In many countries around the globe, private freehold lands cover large areas. Conservation on these private lands, next to statutory protected areas, promises to play a critical role in efforts for reaching internationally agreed environmental protection targets. Lying at the heart of an emerging land system science, in which ecology, economics, geography, psychology, and other social sciences interact, private land conservation is reflecting the intertwined and multiscalar processes of our rapidly transforming world. Situated at this disciplinary meeting point, private land conservation invites a great breadth of approaches and cross-disciplinary work that offer deep insights into social and environmental change, often from surprising angles. Although many questions remain in private land conservation, we can now build on a large body of recent high-quality studies as we push this field forward in both research and practice. The Special Feature “Private Land Conservation Landowner Motives, Policies, and Outcomes of Conservation Measures in Unprotected Landscapes” brings together contributions that explore the diversity of recent advances in private land conservation science. As an introduction to this Special Feature, first we are reviewing recent dynamics in important social-ecological drivers with bearing on private land conservation science. We go on to introduce the individual contributions to this Special Feature and then examine common themes as they are emerging from these papers, including the need for flexibility in conservation approaches, pursuit of community cobenefits of conservation, increasing consideration of environmental justice questions, and acknowledgment of the importance of social psychology in shaping private land conservation. We conclude with identification of knowledge gaps and recommendations for future research, as we advance from diagnostics to normative work in private land conservation science.

Modelling the Spread of European Buckthorn in the Region of Waterloo

Established invasive species, such as European buckthorn (Rhamnus cathartica), pose a challenging problem for land managers who must decide when and how to control them. In order to make an informed decision land managers need to be able to predict the spread of these invasive species at local scales and without the need for excessive sampling. Our approach uses a hybrid model, combining habitat suitability and the presence of the invasive in neighbouring cells to predict the probability of a cell being invaded over time. A generalized linear mixed-effects model was used to create a habitat suitability model and a spread model. The habitat suitability model predicts the presence of buckthorn based on environmental characteristics and the results are used in the spread model. The spread model indicates that the invasion of buckthorn is influenced by the suitability of habitat and the presence of buckthorn in neighbouring cells. The success of the spread model suggests that this approach can be used to create a spatiotemporally explicit model with limited sampling effort.

Perpetual private land conservation: the case for outdoor recreation and functional leisure

As natural areas, agricultural lands, and open spaces continue to be developed at unprecedented rates, it is important for land conservation professionals to understand the individuals who might play a role in permanently protecting these lands and their ecological services. Many factors have been shown to influence land protection decisions among private owners, including land-use activities, demographic characteristics, and environmental intention and behavior. With the hypothesis that individuals already involved in land conservation programs would be candidates for permanent protection, we set out to model conservation easement decisions within a group of participants in southern Indianas Classified Forest and Wildlands Program (ICFWP). We used a mailed questionnaire to survey 500 landowners, garnering 308 responses, about their interest in conservation easements. Our results indicated significant positive relationships between interest in conservation easements with variables representing perception of landscape change, outdoor recreation behavior as an adult, and environmental organization membership. By better understanding the ways these factors promote permanent land-use decisions, land conservation professionals can better allocate limited resources through strategic investments in targeting and outreach.

Exploring Expert Knowledge of Forest Succession: An Assessment of Uncertainty and a Comparison with Empirical Data

Landscape-scale forest succession models are often used to simulate forest dynamics, and the results of these simulations are used to forecast future forest states. Such forecasts are frequently the basis for strategic decisions about forest management policy and planning. However, large gaps in empirical data stemming from insufficient sampling of the landscapes or poorly understood processes often make it difficult to design and apply the models (Kangas and Leskinen 2005). In consequence, expert knowledge is often used to supplement empirical data during the design and application of the models (e.g., Forbis et al. 2006), though its use remains mostly implicit or inadequately explained by researchers.