Understanding biological resilience, from genes to ecosystems

Thorogood, Rose; Mustonen, Ville; Aleixo, Alexandre Luis Padovan; Aphalo, Pedro J.; Asiegbu, Fred O.; Cabeza, Mar; Cairns, Johannes; Candolin, Ulrika; Cardoso, Pedro; Eronen, Jussi T.; Hällfors, Maria; Hovatta, Iiris; Juslén, Aino; Kovalchuk, Andriy; Kulmuni, Jonna; Kuula, Liisa; Mäkipää, Raisa; Ovaskainen, Otso; Pesonen, Anu‐Katriina; Primmer, Craig R.; Saastamoinen, Marjo; Schulman, Alan H.; Schulman, Leif; Strona, Giovanni; Vanhatalo, Jarno

doi:10.32942/osf.io/grpxa

Cited by 6 publications

(8 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Resilience of ecosystems is the result of events at multiple levels of biological organization ( Thorogood et al , 2020 , Preprint) of which here we consider the evolution and function of anticipatory plasticity in plants. We propose a conceptual model that links developmental biology and evolutionary ecology with the acquisition of information by the sensing of cues and signals.…”

Section: Introductionmentioning

confidence: 99%

Explaining pre-emptive acclimation by linking information to plant phenotype

Aphalo

Sadras

2021

Journal of Experimental Botany

Self Cite

View full text Add to dashboard Cite

We review mechanisms for preemptive acclimation in plants and propose a conceptual model linking developmental and evolutionary ecology with the acquisition of information through sensing of cues and signals. The idea is that plants acquire much of the information in the environment not from individual cues and signals but instead from their joint multivariate properties such as correlations. If molecular signalling has evolved to extract such information, the joint multivariate properties of the environment must be encoded in the genome, epigenome and phenome. We contend that multivariate complexity explains why extrapolating from experiments done in artificial contexts into natural or agricultural systems almost never works for characters under complex environmental regulation: biased relationships among the state variables both in time and space create a mismatch between the evolutionary history reflected in the genotype and the artificial growing conditions in which the phenotype is expressed. Our model can generate testable hypotheses bridging levels of organization. In this note we describe the model, its theoretical bases and discuss its implications. We illustrate the hypotheses that can be derived from the model in two cases of preemptive acclimation based on correlations in the environment: the shade avoidance response and acclimation to drought.

show abstract

Section: Introductionmentioning

confidence: 99%

Explaining pre-emptive acclimation by linking information to plant phenotype

Aphalo

Sadras

2021

Journal of Experimental Botany

Self Cite

View full text Add to dashboard Cite

show abstract

“…Effects at different levels of the same driver could be compared by using effect size estimates; this way, attenuation or exacerbation across the different levels could be assessed. This will permit improved understanding of effect propagation across the different levels and will allow us to identify sources of resilience to external drivers residing at the different levels (Thorogood et al, 2023). (iv) Detecting the first emergence of effects-Signals of global change may first emerge at levels other than the one at which they primarily act, depending on at which level of the hierarchy the signal of global change emerges from the noise (Gamelon et al, 2023).…”

Section: The Way Forwardmentioning

confidence: 99%

Factors of global change affecting plants act at different levels of the ecological hierarchy

Rillig,

Lehmann,

Orr

et al. 2023

The Plant Journal

View full text Add to dashboard Cite

SUMMARYPlants and ecosystems worldwide are exposed to a wide range of chemical, physical, and biological factors of global change, many of which act concurrently. As bringing order to the array of factors is required in order to generate an enhanced understanding of simultaneous impacts, classification schemes have been developed. One such classification scheme is dedicated to capturing the different targets of global change factors along the ecological hierarchy. We build on this pioneering work, and refine the conceptual framework in several ways, focusing on plants and terrestrial systems: (i) we more strictly define the target level of the hierarchy, such that every factor typically has just one target level, and not many; (ii) we include effects above the level of the community, that is, there are effects also at the ecosystem scale that cannot be reduced to any level below this; (iii) we introduce the level of the landscape to capture certain land use change effects while abandoning the level below the individual. We discuss how effects can propagate along the levels of the ecological hierarchy, upwards and downwards, presenting opportunities for explaining non‐additivity of effects of multiple factors. We hope that this updated conceptual framework will help inform the next generation of plant‐focused global change experiments, specifically aimed at non‐additivity of effects at the confluence of many factors.

show abstract

“…This then allows parasites to eventually reinvade (although some work suggests that it is variation in the parasite's virulence that determines long term success [128]. Second, insight into the component parts of GMT can better facilitate predictions about adaptive potential and interacting species' resilience to rapid environmental change [129][130][131][132]. However, there have been few attempts to test GMT with avian brood parasites and their hosts [114], despite them being a putative example in the theory's seminal publications [126,127].…”

Section: Avian Brood Parasitism As a Case Studymentioning

confidence: 99%

Beyond genes-for-behaviour: the potential for genomics to resolve questions in avian brood parasitism

Rönkä¹,

Eroukhmanoff²,

Kulmuni³

et al. 2022

Preprint

View full text Add to dashboard Cite

Brood parasite-host interactions are among the most easily observable and amenable natural laboratories of antagonistic coevolution, and as such have intrigued evolutionary biologists for decades. It is therefore surprising they have not been at the forefront of genomic studies on evolutionary adaptation. Here we review state-of-the-art molecular methods in studying avian brood parasitism, a model system in behavioural ecology. We highlight outstanding questions to bring examples of how genomic tools are not merely about ‘finding a gene for behaviour’, but can be used to study the causes and mechanisms of (co)evolutionary adaptation. In doing so, we promote behavioural and molecular ecologists to integrate Tinbergen’s questions into a collaborative, coherent science aiming to solve the mysteries of nature and apply current methodology into other model systems in behavioural ecology.

show abstract

Understanding biological resilience, from genes to ecosystems

Cited by 6 publications

References 88 publications

Explaining pre-emptive acclimation by linking information to plant phenotype

Explaining pre-emptive acclimation by linking information to plant phenotype

Factors of global change affecting plants act at different levels of the ecological hierarchy

Beyond genes-for-behaviour: the potential for genomics to resolve questions in avian brood parasitism

Contact Info

Product

Resources

About