Building Ecological Resilience in Highly Modified Landscapes

Beller, Erin E.; Spotswood, Erica N.; Robinson, A. H. W.; Anderson, Mark; Higgs, Eric; Hobbs, Richard J.; Suding, Katharine N.; Zavaleta, Erika S.; Grenier, J. Letitia; Grossinger, Robin M.

doi:10.1093/biosci/biy117

Cited by 42 publications

(34 citation statements)

References 21 publications

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“…This may have important consequences on the capacity of these forests to adapt following unexpected disturbances, as these two properties are key determinants of ecosystem resilience in the face of global change uncertainty (Elmqvist et al 2003, Mori et al 2013). Also, the capacity of these forests to rapidly recolonize and efficiently self‐reorganize might be hampered by potentially decreased functional connectivity, which is an additional key attribute contributing to resilience in such fragmented landscapes (Craven et al 2016, Beller et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Network analysis can guide resilience‐based management in forest landscapes under global change

Mina

Messier

Duveneck

et al. 2020

Ecological Applications

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Section: Discussionmentioning

confidence: 99%

Network analysis can guide resilience‐based management in forest landscapes under global change

Mina

Messier

Duveneck

et al. 2020

Ecological Applications

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“…Sometimes, the same underlying mechanisms can be responsible for both resistance and recovery, and rapid recovery can appear as resistance depending on the time window of measurement (Oliver et al, ). Therefore, using resilience as an umbrella term for resistance and recovery makes good sense and is increasingly widely used by others (Beller et al, ; Kohler et al, ). Specifically, the term resilience hereon refers to “the degree to which an ecosystem function can resist or recover rapidly from environmental perturbations, thereby maintaining function above a socially acceptable level” (Oliver et al, ).…”

Section: Introductionmentioning

confidence: 99%

Predicting resilience of ecosystem functioning from co‐varying species' responses to environmental change

Greenwell

Brereton

Day

et al. 2019

Ecology and Evolution

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Understanding how environmental change affects ecosystem function delivery is of primary importance for fundamental and applied ecology. Current approaches focus on single environmental driver effects on communities, mediated by individual response traits. Data limitations present constraints in scaling up this approach to predict the impacts of multivariate environmental change on ecosystem functioning.We present a more holistic approach to determine ecosystem function resilience, using long‐term monitoring data to analyze the aggregate impact of multiple historic environmental drivers on species' population dynamics. By assessing covariation in population dynamics between pairs of species, we identify which species respond most synchronously to environmental change and allocate species into “response guilds.” We then use “production functions” combining trait data to estimate the relative roles of species to ecosystem functions. We quantify the correlation between response guilds and production functions, assessing the resilience of ecosystem functioning to environmental change, with asynchronous dynamics of species in the same functional guild expected to lead to more stable ecosystem functioning.Testing this method using data for butterflies collected over four decades in the United Kingdom, we find three ecosystem functions (resource provisioning, wildflower pollination, and aesthetic cultural value) appear relatively robust, with functionally important species dispersed across response guilds, suggesting more stable ecosystem functioning. Additionally, by relating genetic distances to response guilds we assess the heritability of responses to environmental change. Our results suggest it may be feasible to infer population responses of butterflies to environmental change based on phylogeny—a useful insight for conservation management of rare species with limited population monitoring data.Our approach holds promise for overcoming the impasse in predicting the responses of ecosystem functions to environmental change. Quantifying co‐varying species' responses to multivariate environmental change should enable us to significantly advance our predictions of ecosystem function resilience and enable proactive ecosystem management.

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“…Interdisciplinarity and multi-model integration are essential, in part because the problem itself is so complex. It is anticipated that both robustness and resilience come at a cost of imposing severe constraints on the underlying architecture of a system, which substantially impacts the principles of the general design motifs found in many networks across scales of biological complexity (Beller et al, 2019). In addition, any accurate model must incorporate multi-scale robustness and resilience across multiple scales of size and time and include the dynamic nature of changes and stasis in the face of challenge.…”

Section: Solutionsmentioning

confidence: 99%

Toward a Universal Theoretical Framework to Understand Robustness and Resilience: From Cells to Systems

et al. 2021

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Research across a range of biological subdisciplines and scales, ranging from molecular to ecosystemic, provides ample evidence that living systems generally exhibit both a degree of resistance to disruption and an ability to recover following disturbance. Not only do mechanisms of robustness and resilience exist across and between systems, but those mechanisms exhibit ubiquitous and scalable commonalities in pattern and function. Mechanisms such as redundancy, plasticity, interconnectivity, and coordination of subunits appear to be crucial internal players in the determination of stability. Similarly, factors external to the system such as the amplitude, frequency, and predictability of disruptors, or the prevalence of key limiting resources, may constrain pathways of response. In the face of a rapidly changing environment, there is a pressing need to develop a common framework for describing, assessing, and predicting robustness and resilience within and across living systems.

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Building Ecological Resilience in Highly Modified Landscapes

Cited by 42 publications

References 21 publications

Network analysis can guide resilience‐based management in forest landscapes under global change

Network analysis can guide resilience‐based management in forest landscapes under global change

Predicting resilience of ecosystem functioning from co‐varying species' responses to environmental change

Toward a Universal Theoretical Framework to Understand Robustness and Resilience: From Cells to Systems

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