Université du Québec en Outaouais

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

This article highlights the characteristics of articles on project success published between 1986 and 2004 in the Project Management Journal (PMJ) and the International Journal of Project Management (IJPM). The analysis covers references, concepts like project management success, project success, success criteria, and success factors; features of the samples, data collection, and analysis techniques used; and professional disciplines. The results show that research on project success is characterized by diversity except in epistemological and methodological perspectives. The article suggests a shift to project, portfolio, and program success and concludes with a discussion on the traditional state of the research, criticizes its assumptions, and offers alternative metaphors and recommendations for future research.

Neurotransmitter receptors support the propagation of signals in the human brain. How receptor systems are situated within macro-scale neuroanatomy and how they shape emergent function remain poorly understood, and there exists no comprehensive atlas of receptors. Here we collate positron emission tomography data from more than 1,200 healthy individuals to construct a whole-brain three-dimensional normative atlas of 19 receptors and transporters across nine different neurotransmitter systems. We found that receptor profiles align with structural connectivity and mediate function, including neurophysiological oscillatory dynamics and resting-state hemodynamic functional connectivity. Using the Neurosynth cognitive atlas, we uncovered a topographic gradient of overlapping receptor distributions that separates extrinsic and intrinsic psychological processes. Finally, we found both expected and novel associations between receptor distributions and cortical abnormality patterns across 13 disorders. We replicated all findings in an independently collected autoradiography dataset. This work demonstrates how chemoarchitecture shapes brain structure and function, providing a new direction for studying multi-scale brain organization.

The present series of studies sought to develop and conceptually validate a taxonomy of reasons that give rise to academic amotivation and to investigate its social antecedents and academic consequences. In Study 1 (N = 351), an exploratory factor analysis offered preliminary support for an academic amotivation taxonomy comprising four dimensions: ability beliefs, effort beliefs, characteristics of the task, and value placed on the task. In Study 2 (N = 349), the proposed taxonomy was further corroborated through 1st- and 2nd-order confirmatory factor analyses, and its discriminant validity and construct validity were documented. Study 3 (N = 741) offered evidence for a model of the relationships among social support (from parents, teachers, and friends), amotivation, and academic outcomes (e.g., achievement, academic self-esteem, intention to drop out). Results are considered in terms of an increased conceptual understanding of academic amotivation, and implications for curricula and interventions are discussed.

Set on its current course thirty years ago by Herbert Simon’s notions of bounded rationality and sequential stages, the research literature of organizational decision making is claimed in this paper to have suffered from three major limitations labeled reification, dehumanization, and isolation. In particular, it has been stuck along a continuum between the cerebral rationality of the stage theories at one end and the apparent irrationality of the theory of organized anarchies at the other. This paper seeks to open up decision making in three respects. First, the concept of “decision” is opened up to the ambiguities that surround the relationship between commitment and action. Second, the decision maker is opened up to history and experience, to affect and inspiration, and especially to the critical role of insight in transcending the bounds of cerebral rationality. Third, the process of decision making is opened up to a host of dynamic linkages, so that isolated traces of single decisions come to be seen as interwoven networks of issues. The paper concludes with a plea to open up research itself to the development of richer theory on these important processes.

The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved to be not rich enough for seizing the ever-growing complexity and heterogeneity of the modern systems in the field. Traditional machine learning solutions assume the existence of (cloud-based) central entities that are in charge of processing the data. Nonetheless, the difficulty of accessing private data, together with the high cost of transmitting raw data to the central entity gave rise to a decentralized machine learning approach called Federated Learning. The main idea of federated learning is to perform an on-device collaborative training of a single machine learning model without having to share the raw training data with any third-party entity. Although few survey articles on federated learning already exist in the literature, the motivation of this survey stems from three essential observations. The first one is the lack of a fine-grained multi-level classification of the federated learning literature, where the existing surveys base their classification on only one criterion or aspect. The second observation is that the existing surveys focus only on some common challenges, but disregard other essential aspects such as reliable client selection, resource management and training service pricing. The third observation is the lack of explicit and straightforward directives for researchers to help them design future federated learning solutions that overcome the state-of-the-art research gaps. To address these points, we first provide a comprehensive tutorial on federated learning and its associated concepts, technologies and learning approaches. We then survey and highlight the applications and future directions of federated learning in the domain of communication and networking. Thereafter, we design a three-level classification scheme that first categorizes the federated learning literature based on the high-level challenge that they tackle. Then, we classify each high-level challenge into a set of specific low-level challenges to foster a better understanding of the topic. Finally, we provide, within each low-level challenge, a fine-grained classification based on the technique used to address this particular challenge. For each category of high-level challenges, we provide a set of desirable criteria and future research directions that are aimed to help the research community design innovative and efficient future solutions. To the best of our knowledge, our survey is the most comprehensive in terms of challenges and techniques it covers and the most fine-grained in terms of the multi-level classification scheme it presents.

BACKGROUND: Technology is ever evolving, with more and more diverse activities becoming possible on screen-based devices. However, participating in a heavy screen-based lifestyle may come at a cost. Our hypothesis was that problematic social media use increased the prevalence of mental health outcomes. OBJECTIVE: This study seeks to systematically examine problematic social media use in youth and its association with symptoms of depression, anxiety, and stress. METHODS: A systematic search was conducted to identify studies in adolescents and young adults, using the databases Engineering Village, Psycinfo, Pubmed, and Web of Science. A total of 18 studies were identified, with a total of 9269 participants in our review and included in the meta-analysis. RESULTS: Our metaregression shows moderate but statistically significant correlations between problematic social media use and depression (r=0.273, P<.001), anxiety (r=0.348, P<.001), and stress (r=0.313, P<.001). We did not find evidence of heterogeneity of these summary correlations by age, gender, or year of publication. CONCLUSIONS: This study provides further evidence of the association between problematic social media use and negative mental health among adolescents and young adults and supports future research to focus on the underlying mechanisms of problematic use of social media. TRIAL REGISTRATION: PROSPERO CRD42021222309; https://tinyurl.com/2p9y4bjx.

Summary Industrial forestry typically leads to a simplified forest structure and altered species composition. Retention of trees at harvest was introduced about 25 years ago to mitigate negative impacts on biodiversity, mainly from clearcutting, and is now widely practiced in boreal and temperate regions. Despite numerous studies on response of flora and fauna to retention, no comprehensive review has summarized its effects on biodiversity in comparison to clearcuts as well as un‐harvested forests. Using a systematic review protocol, we completed a meta‐analysis of 78 studies including 944 comparisons of biodiversity between retention cuts and either clearcuts or un‐harvested forests, with the main objective of assessing whether retention forestry helps, at least in the short term, to moderate the negative effects of clearcutting on flora and fauna. Retention cuts supported higher richness and a greater abundance of forest species than clearcuts as well as higher richness and abundance of open‐habitat species than un‐harvested forests. For all species taken together (i.e. forest species, open‐habitat species, generalist species and unclassified species), richness was higher in retention cuts than in clearcuts. Retention cuts had negative impacts on some species compared to un‐harvested forest, indicating that certain forest‐interior species may not survive in retention cuts. Similarly, retention cuts were less suitable for some open‐habitat species compared with clearcuts. Positive effects of retention cuts on richness of forest species increased with proportion of retained trees and time since harvest, but there were not enough data to analyse possible threshold effects, that is, levels at which effects on biodiversity diminish. Spatial arrangement of the trees (aggregated vs. dispersed) had no effect on either forest species or open‐habitat species, although limited data may have hindered our capacity to identify responses. Results for different comparisons were largely consistent among taxonomic groups for forest and open‐habitat species, respectively. Synthesis and applications . Our meta‐analysis provides support for wider use of retention forestry since it moderates negative harvesting impacts on biodiversity. Hence, it is a promising approach for integrating biodiversity conservation and production forestry, although identifying optimal solutions between these two goals may need further attention. Nevertheless, retention forestry will not substitute for conservation actions targeting certain highly specialized species associated with forest‐interior or open‐habitat conditions.

The second edition of Cognitive Behavioral Treatment for Generalized Anxiety Disorder is an essential read for all clinicians, researchers, and anyone who wants to learn about how cognitive behavioral therapy (CBT) can be applied to treatment for generalized anxiety disorder. Building on the idea that intolerance of uncertainty keeps people with generalized anxiety disorder (GAD) stuck in repeated cycles of excessive worry, anxiety, and avoidance, this revised and updated edition lays out the essentials of GAD assessment and diagnosis, step-by-step illustrations of CBT treatment, and questionnaires and monitoring forms that can be used in assessment, treatment, and research. Readerswill come away from the book with a clear sense of how to: design powerful, individualized behavioral experiments targeting the fear of uncertainty; help clients discover and re-evaluate their beliefs about the usefulness of worry; encourage clients to view worry-provoking problems as challenges to be met, rather than threats; use written exposure to help clients confront lingering worries and core fears

Abstract As of 2020, the world has an estimated 290 million ha of planted forests and this number is continuously increasing. Of these, 131 million ha are monospecific planted forests under intensive management. Although monospecific planted forests are important in providing timber, they harbor less biodiversity and are potentially more susceptible to disturbances than natural or diverse planted forests. Here, we point out the increasing scientific evidence for increased resilience and ecosystem service provision of functionally and species diverse planted forests (hereafter referred to as diverse planted forests) compared to monospecific ones. Furthermore, we propose five concrete steps to foster the adoption of diverse planted forests: (1) improve awareness of benefits and practical options of diverse planted forests among land‐owners, managers, and investors; (2) incentivize tree species diversity in public funding of afforestation and programs to diversify current maladapted planted forests of low diversity; (3) develop new wood‐based products that can be derived from many different tree species not yet in use; (4) invest in research to assess landscape benefits of diverse planted forests for functional connectivity and resilience to global‐change threats; and (5) improve the evidence base on diverse planted forests, in particular in currently under‐represented regions, where new options could be tested.

A systematic review of autism spectrum disorder and substance use and abuse was conducted based on the Preferred Reporting Items for Systematic Review and Meta-Analysis protocol guidelines (an internationally recognized standardized methodological framework for conducting systematic review). The objectives of the review were to update and extend findings reported by Arnevik and Helverschou’s review of the autism spectrum disorder and substance use literature by (1) evaluating study quality via the Mixed-Methods Appraisal Tool; (2) examining autism spectrum disorder and substance abuse diagnostic measures; (3) reporting on the prevalence of co-occurring autism spectrum disorder and substance abuse; and (4) identifying risk, protective, and positive treatment factors. Twenty-six studies on substance use and abuse in autism spectrum disorder were identified through a search of MEDLINE, PsycINFO and Google Scholar. Average study quality score was 75.4%. Prevalence rates of substance abuse among samples with autism spectrum disorder ranged from 1.3% to 36%, but due to variability in sample characteristics and diagnostic measures, a general prevalence rate could not be established. Risk and protective factors, recognized in the general population, such as familial substance abuse and comorbid externalizing disorders, and factors, which may be more likely to occur in individuals with autism spectrum disorder compared to the general population, such as few social resources (i.e. sense of social belonging, breadth of social support networks, and level of social capital) and low sensation-seeking, were identified. One intervention study was identified; however, methodological limitations preclude any conclusion regarding positive treatment factors at this time. More research, using standardized measures and comparable samples, is needed to understand risk and protective factors and to determine the prevalence of co-occurring substance abuse and autism spectrum disorder. Lay Abstract Symptoms characteristic of autism spectrum disorder were initially believed to protect individuals with autism spectrum disorder from developing substance abuse. However, recent studies suggest that up to 36% of individuals with autism spectrum disorder may have a co-occurring issue with substance abuse. In addition, substance abuse may worsen the difficulties with daily functioning some individuals with autism spectrum disorder experience. It is important to understand occurrence rates, and risk, protective and positive treatment factors of co-occurring autism spectrum disorder and substance abuse in order to promote the best possible support for this special population. This review aimed to find and synthesize evidence regarding risk, protective and treatment factors, and determine a general prevalence rate of co-occurring autism spectrum disorder and substance abuse from all studies on substance use and abuse in individuals with autism spectrum disorder. The review also aimed to assess study quality and identify a diagnostic measure for substance abuse in individuals with autism spectrum disorder. Twenty-six studies on substance use and abuse in autism spectrum disorder were included in the review. The rates of substance abuse among those with autism spectrum disorder identified by included studies ranged from 1.3% to 36%, but due to large differences in study methods, a general prevalence rate could not be determined. Risk and protective factors, recognized in the general population, such as familial substance abuse and co-occurring mental health issues, and factors which may be more likely to occur in individuals with autism spectrum disorder, such as limited social resources and low sensation-seeking, were identified. No diagnostic measures specific to individuals with autism spectrum disorder and substance abuse were identified. This review identified only one exploratory study on an adapted intervention for co-occurring autism spectrum disorder and substance abuse. However, there were many methodological challenges in this study that limit the conclusions that can be drawn from the data. More research, using consistent methods, is needed to understand risk and protective factors and to determine the prevalence of substance abuse among individuals with autism spectrum disorder. The potential for co-occurring autism spectrum disorder and substance abuse should be considered by professional working in both autism spectrum disorder and substance abuse services, as finding suggests substance abuse is possible among individuals with autism spectrum disorder and may occur more frequently than previously believed. In addition, autism spectrum disorder and substance abuse service providers should be sensitive to specific risk and protective factors identified by the review that may impact substance abuse course and outcomes.

Background People with social anxiety disorder (SAD) fear social interactions and may be reluctant to seek treatments involving exposure to social situations. Social exposure conducted in virtual reality (VR), embedded in individual cognitive–behavioural therapy (CBT), could be an answer. Aims To show that conducting VR exposure in CBT for SAD is effective and is more practical for therapists than conducting exposure in vivo. Method Participants were randomly assigned to either VR exposure ( n = 17), in vivo exposure ( n = 22) or waiting list ( n = 20). Participants in the active arms received individual CBT for 14 weekly sessions and outcome was assessed with questionnaires and a behaviour avoidance test. (Trial registration number ISRCTN99747069.) Results Improvements were found on the primary (Liebowitz Social Anxiety Scale) and all five secondary outcome measures in both CBT groups compared with the waiting list. Conducting exposure in VR was more effective at post-treatment than in vivo on the primary outcome measure and on one secondary measure. Improvements were maintained at the 6-month follow-up. VR was significantly more practical for therapists than in vivo exposure. Conclusions Using VR can be advantageous over standard CBT as a potential solution for treatment avoidance and as an efficient, cost-effective and practical medium of exposure.

AIMS: This paper describes a concept analysis carried out to remove some of the ambiguity surrounding the conceptual meaning of perceived parental efficacy and to distinguish it from related concepts such as parental confidence and parental competence. BACKGROUND: Constructing parental efficacy is a crucial step for family members after the birth of their first child. For some authors, perceived parental efficacy is a motor for adequate parental practices. Confusion about the definition and measurement of this concept has hindered both psychology and nursing practice and research. Concept delineation and concept clarification are required in order to further the development of the concept of perceived parental efficacy. METHODS: A literature search using a variety of online databases yielded 113 articles between the years 1980 and 2000. The final sample (n=60) consisted of 30 articles from two disciplines: nursing and psychology. A content analysis of the literature was done using Rodger's evolutionary concept analysis method. FINDINGS: Content analysis of the literature yielded four contributors to perceived parental efficacy: positive enactive mastery experiences, vicarious experiences, verbal persuasion and an appropriate physiological and affective state. Perceived parental efficacy can thus be defined as 'beliefs or judgements a parent holds of their capabilities to organize and execute a set of tasks related to parenting a child'. CONCLUSION: This conceptual analysis has allowed perceived parental efficacy to be distinguished from parental confidence and parental competence. Both nursing and psychology research, practice and education will benefit from a more precise and delineated concept.

Social phobia is one of the most frequent mental disorders and is accessible to two forms of scientifically validated treatments: anti-depressant drugs and cognitive behavior therapies (CBT). In this last case, graded exposure to feared social situations is one of the fundamental therapeutic ingredients. Virtual reality technologies are an interesting alternative to the standard exposure in social phobia, especially since studies have shown its usefulness for the fear of public speaking. This paper reports a preliminary study in which a virtual reality therapy (VRT), based on exposure to virtual environments, was used to treat social phobia. The sample consisted of 36 participants diagnosed with social phobia assigned to either VRT or a group-CBT (control condition). The virtual environments used in the treatment recreate four situations dealing with social anxiety: performance, intimacy, scrutiny, and assertiveness. With the help of the therapist, the patient learns adapted cognitions and behaviors in order to reduce anxiety in the corresponding real situations. Both treatments lasted 12 weeks, and sessions were delivered according to a treatment manual. Results showed statistically and clinically significant improvement in both conditions. The effect-sizes comparing the efficacy of VRT to the control traditional group-CBT revealed that the differences between the two treatments are trivial.

BACKGROUND: The increasing awareness of the role of phyllosphere microbial communities in plant health calls for a greater understanding of their structure and dynamics in natural ecosystems. Since most knowledge of tree phyllosphere bacterial communities has been gathered in tropical forests, our goal was to characterize the community structure and assembly dynamics of phyllosphere epiphytic bacterial communities in temperate forests in Quebec, Canada. We targeted five dominant tree species: Acer saccharum, Acer rubrum, Betula papyrifera, Abies balsamea, and Picea glauca. We collected 180 samples of phyllosphere communities on these species at four natural forest sites, three times during the growing season. RESULTS: Host functional traits (i.e., wood density, leaf nitrogen content) and climate variables (summer mean temperature and precipitation) were strongly correlated with community structure. We highlight three key findings: (1) temperate tree species share a "core microbiome"; (2) significant evolutionary associations exist between groups of bacteria and host species; and (3) a greater part of the variation in phyllosphere bacterial community assembly is explained by host species identity (27 %) and species-site interaction (14 %), than by site (11 %) or time (1 %). CONCLUSIONS: We demonstrated that host species identity is a stronger driver of temperate tree phyllosphere bacterial communities than site or time. Our results suggest avenues for future studies on the influence of host functional traits on phyllosphere community functional biogeography across terrestrial biomes.

Human impacts on Earth’s ecosystems have greatly intensified in the last decades. This is reflected in unexpected disturbance events, as well as new and increasing socio-economic demands, all of which are affecting the resilience of forest ecosystems worldwide and the provision of important ecosystem services. This Anthropocene era is forcing us to reconsider past and current forest management and silvicultural practices, and search for new ones that are more flexible and better at dealing with the increasing uncertainty brought about by these accelerating and cumulative global changes. Here, we briefly review the focus and limitations of past and current forest management and silvicultural practices mainly as developed in Europe and North America. We then discuss some recent promising concepts, such as managing forests as complex adaptive systems, and approaches based on resilience, functional diversity, assisted migration and multi-species plantations, to propose a novel approach to integrate the functionality of species-traits into a functional complex network approach as a flexible and multi-scale way to manage forests for the Anthropocene. This approach takes into consideration the high level of uncertainty associated with future environmental and societal changes. It relies on the quantification and dynamic monitoring of functional diversity and complex network indices to manage forests as a functional complex network. Using this novel approach, the most efficient forest management and silvicultural practices can be determined, as well as where, at what scale, and at what intensity landscape-scale resistance, resilience and adaptive capacity of forests to global changes can be improved.

The true extent of school bullying among youth with autism spectrum disorders (ASD) remains an underexplored area. The purpose of this meta-analysis is to: (a) assess the proportion of school-aged youth with ASD involved in school bullying as perpetrators, victims or both; (b) examine whether the observed prevalence estimates vary when different sources of heterogeneity related to the participants' characteristics and to the assessment methods are considered; and (c) compare the risk of school bullying between youth with ASD and their typically developing (TD) peers. A systematic literature search was performed and 17 studies met the inclusion criteria. The resulting pooled prevalence estimate for general school bullying perpetration, victimization and both was 10%, 44%, and 16%, respectively. Pooled prevalence was also estimated for physical, verbal, and relational school victimization and was 33%, 50%, and 31%, respectively. Moreover, subgroup analyses showed significant variations in the pooled prevalence by geographic location, school setting, information source, type of measures, assessment time frame, and bullying frequency criterion. Finally, school-aged youth with ASD were found to be at greater risk of school victimization in general, as well as verbal bullying, than their TD peers. Autism Res 2016, 9: 601-615. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

The Health Promoting School (HPS) and Comprehensive School Health Program (CSHP) initiatives have been proposed as a means of going beyond some of the limitations associated with health promotion initiatives aimed at school-aged children. This involves moving beyond practices that rely mainly on classroom-based health education models, to a more comprehensive, integrated approach of health promotion that focuses both on child-youth attitudes and behaviors, and their environment. Despite the tremendous potential of these initiatives in terms of health and educational gains, only rarely are they actually put into practice. This article briefly reviews the features of these initiatives, as well as the extent of their implementation and current benefits. Against that backdrop, the authors identify some issues to consider and propose four conditions with a view to achieving broader practical application of these approaches. These issues, which are discussed from the standpoint of potential avenues of further study and courses of action, relate to the comprehensive, integrated nature of the intervention, the school/family/community partnership, political and financial support from policy makers, and, finally, evaluative research as a support to implementation.

Habitat loss fragments metacommunities, altering the movement of species between previously connected habitat patches. The consequences of habitat loss for ecosystem functioning depend, in part, on how these changes in connectivity alter the spatial insurance effects of biodiversity. Spatial insurance is the maintenance of biodiversity and stable ecosystem functioning in changing environments that occurs when species are able to move between local habitat patches in order to track conditions to which they are adapted. Spatial insurance requires a combination of species sorting dynamics, which allow species to disperse to habitats where they are productive, and mass effect dynamics, where dispersal allows species to persist in marginal habitats where environmental conditions do not support growth. Here we use a spatially explicit metacommunity model to show that the relative contribution of species sorting and mass effects to spatial insurance changes with the rate of dispersal. We then simulate different sequences of habitat loss by removing habitat patches based on their betweenness centrality (the degree to which a patch serves as a connection between other patches in the metacommunity). We demonstrate that the sequence of habitat loss has a large, non‐linear impact on diversity, ecosystem functioning and stability. Spatial insurance is lost because habitat fragmentation impedes species sorting, while promoting mass effects and dispersal limitation. We find that species sorting dynamics, and thus spatial insurance, are most robust to the removal of habitat patches with low betweenness centrality. These findings advance our understanding of how habitat connectivity facilitates the maintenance of biodiversity and ecosystem functioning, and may prove useful for the design of habitat networks.

Designing connected landscapes is among the most widespread strategies for achieving biodiversity conservation targets. The challenge lies in simultaneously satisfying the connectivity needs of multiple species at multiple spatial scales under uncertain climate and land-use change. To evaluate the contribution of remnant habitat fragments to the connectivity of regional habitat networks, we developed a method to integrate uncertainty in climate and land-use change projections with the latest developments in network-connectivity research and spatial, multipurpose conservation prioritization. We used land-use change simulations to explore robustness of species' habitat networks to alternative development scenarios. We applied our method to 14 vertebrate focal species of periurban Montreal, Canada. Accounting for connectivity in spatial prioritization strongly modified conservation priorities and the modified priorities were robust to uncertain climate change. Setting conservation priorities based on habitat quality and connectivity maintained a large proportion of the region's connectivity, despite anticipated habitat loss due to climate and land-use change. The application of connectivity criteria alongside habitat-quality criteria for protected-area design was efficient with respect to the amount of area that needs protection and did not necessarily amplify trade-offs among conservation criteria. Our approach and results are being applied in and around Montreal and are well suited to the design of ecological networks and green infrastructure for the conservation of biodiversity and ecosystem services in other regions, in particular regions around large cities, where connectivity is critically low.