Varying effects of connectivity and dispersal on interacting species dynamics

Salau, Kehinde R.; Schoon, Michael; Baggio, Jacopo A.; Janssen, Marco A.

doi:10.1016/j.ecolmodel.2012.04.028

Cited by 22 publications

(12 citation statements)

References 44 publications

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“…In particular, genetic approaches based on dispersal over multiple generations (e.g., Gilg andHilbish 2003, Palumbi 2003) integrate multiple dispersal events and thus cannot provide information on interannual variation in connectivity. Therefore, a combination of single-generation approaches of connectivity and other methods operating at different scales (e.g., genetic and hydrodynamic models) could provide a deeper understanding of metapopulation dynamics under fluctuating connectivity, particularly for population persistence, distribution, and species coexistence (Carson et al 2011, Salau et al 2012, Watson et al 2012, Snyder et al 2014. Our results are also consistent with those analyzing geochemical tags to determine connectivity on similar species (e.g., Carson et al 2010, Lopez-Duarte et al 2012, despite slight methodological differences in the quantification of certain processes (e.g., sampling period, post-settlement mortality; Le Corre et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Patterns and scales of connectivity: temporal stability and variation within a marine metapopulation

Corre

Johnson

Smith

et al. 2015

Ecology

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Because many marine invertebrates have a dispersive planktonic phase, the spatial scale of demographic, connectivity among local populations remains a key, but elusive, parameter driving population and metapopulation dynamics. However, temporal variation in the scale of connectivity remains largely undocumented, despite its recognized importance for predicting population responses to environmental changes. To assess the temporal stability of metapopulation connectivity, we conducted a large-scale survey of a blue mussel (Mytilus spp.) metapopulation for five years along a 100-km section of coastline of the Gaspé Peninsula, Québec, Canada. For each year, we estimated the scale of demographic coupling among 27-29 sites within our study region, using the spatial cross-covariance between adult abundance and recruit density across sites. Despite large interannual variability in overall recruit abundance, our analysis revealed stationary spatial distributions of adult and recruit abundance. More importantly, our analysis revealed a consistent demographic coupling among populations at a distance ranging from 12 to 24 km in all but one of the five years studied. The scale of connectivity in this system is thus temporally stable, but can occasionally show irregular fluctuations, and our results provide evidence in support of the integration of time-varying connectivity to marine metapopulation and reserve network theories.

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Section: Discussionmentioning

confidence: 99%

Patterns and scales of connectivity: temporal stability and variation within a marine metapopulation

Corre

Johnson

Smith

et al. 2015

Ecology

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“…4A and details in SI Appendix). Future work might create a dataset where habitat quality indicators are represented as different ecological edge values in an ecological network as done in some theoretical modeling studies (30,75). Additional advances should also incorporate multiple social and multiple ecological network relationships (58,(76)(77)(78)(79) into the analysis of scale mismatch.…”

Section: Discussionmentioning

confidence: 99%

Social–ecological network analysis of scale mismatches in estuary watershed restoration

Sayles

Baggio

2017

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

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173

116

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Resource management boundaries seldom align with environmental systems, which can lead to social and ecological problems. Mapping and analyzing how resource management organizations in different areas collaborate can provide vital information to help overcome such misalignment. Few quantitative approaches exist, however, to analyze social collaborations alongside environmental patterns, especially among local and regional organizations (i.e., in multilevel governance settings). This paper develops and applies such an approach using social-ecological network analysis (SENA), which considers relationships among and between social and ecological units. The framework and methods are shown using an estuary restoration case from Puget Sound, United States. Collaboration patterns and quality are analyzed among local and regional organizations working in hydrologically connected areas. These patterns are correlated with restoration practitioners' assessments of the productivity of their collaborations to inform network theories for natural resource governance. The SENA is also combined with existing ecological data to jointly consider social and ecological restoration concerns. Results show potentially problematic areas in nearshore environments, where collaboration networks measured by density (percentage of possible network connections) and productivity are weakest. Many areas also have high centralization (a few nodes hold the network together), making network cohesion dependent on key organizations. Although centralization and productivity are inversely related, no clear relationship between density and productivity is observed. This research can help practitioners to identify where governance capacity needs strengthening and jointly consider social and ecological concerns. It advances SENA by developing a multilevel approach to assess social-ecological (or social-environmental) misalignments, also known as scale mismatches.social-ecological fit | environmental governance | multilevel governance | social-ecological networks | environmental restoration planning M ore than a century ago, John Wesley Powell, second director of the US Geological Survey, advised politicians to align political borders with watersheds for successful resource management. His advice was ignored but continues to resonate (1). Spatial-scale mismatch, where the boundaries of governing organizations do not align with the environmental systems that they govern, often leads to failed or inefficient resource management (2-5).* For example, a small municipality cannot regulate upstream land use outside of its jurisdiction to protect water quality (7). Regional fisheries management may not respond to local stock variations or local fishermen's needs (2, 8).Organizations, both public and private, can overcome scale mismatches through collaboration and coordination (9-13). This network approach to governing is not without challenges but is often preferable to rescaling existing sociopolitical and jurisdictional boundaries, which might undermine other g...

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“…Connectivity as the structure and strength of information or resource flows in networks is highly context dependent though (Dakos et al 2015). In general, intermediate levels of connectivity are often considered better than the extremes of very high or very low levels (Salau et al 2012, Schoon et al 2014, Dakos et al 2015.…”

Section: Clustering Coefficientmentioning

confidence: 99%

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

Luthe¹,

Wyss²

2016

E&S

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Resilience to climate change in a cross-scale tourism governance context: a combined quantitativequalitative network analysis. Ecology and Society 21 (1) ABSTRACT. Social systems in mountain regions are exposed to a number of disturbances, such as climate change. Calls for conceptual and practical approaches on how to address climate change have been taken up in the literature. The resilience concept as a comprehensive theory-driven approach to address climate change has only recently increased in importance. Limited research has been undertaken concerning tourism and resilience from a network governance point of view. We analyze tourism supply chain networks with regard to resilience to climate change at the municipal governance scale of three Alpine villages. We compare these with a planned destination management organization (DMO) as a governance entity of the same three municipalities on the regional scale. Network measures are analyzed via a quantitative social network analysis (SNA) focusing on resilience from a tourism governance point of view. Results indicate higher resilience of the regional DMO because of a more flexible and diverse governance structure, more centralized steering of fast collective action, and improved innovative capacity, because of higher modularity and better core-periphery integration.Interpretations of quantitative results have been qualitatively validated by interviews and a workshop. We conclude that adaptation of tourism-dependent municipalities to gradual climate change should be dealt with at a regional governance scale and adaptation to sudden changes at a municipal scale. Overall, DMO building at a regional scale may enhance the resilience of tourism destinations, if the municipalities are well integrated.

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Varying effects of connectivity and dispersal on interacting species dynamics

Cited by 22 publications

References 44 publications

Patterns and scales of connectivity: temporal stability and variation within a marine metapopulation

Patterns and scales of connectivity: temporal stability and variation within a marine metapopulation

Social–ecological network analysis of scale mismatches in estuary watershed restoration

Resilience to climate change in a cross-scale tourism governance context: a combined quantitative-qualitative network analysis

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