Spatiotemporal variability in Swedish lake ecosystems

Studying ecosystem dynamics is critical to monitoring and managing linked systems of humans and nature. Due to the growth of tools and techniques for collecting data, information on the condition of these systems is more widely available. While there are a variety of approaches for mining and assess...

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Autores principales: Eason, Tarsha, Garmestani, Ahjond, Angeler, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936495/
https://www.ncbi.nlm.nih.gov/pubmed/35312714
http://dx.doi.org/10.1371/journal.pone.0265571
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author Eason, Tarsha
Garmestani, Ahjond
Angeler, David G.
author_facet Eason, Tarsha
Garmestani, Ahjond
Angeler, David G.
author_sort Eason, Tarsha
collection PubMed
description Studying ecosystem dynamics is critical to monitoring and managing linked systems of humans and nature. Due to the growth of tools and techniques for collecting data, information on the condition of these systems is more widely available. While there are a variety of approaches for mining and assessing data, there is a need for methods to detect latent characteristics in ecosystems linked to temporal and spatial patterns of change. Resilience-based approaches have been effective at not only identifying environmental change but also providing warning in advance of critical transitions in social-ecological systems (SES). In this study, we examine the usefulness of one such method, Fisher Information (FI) for spatiotemporal analysis. FI is used to assess patterns in data and has been established as an effective tool for capturing complex system dynamics to include regimes and regime shifts. We employed FI to assess the biophysical condition of eighty-five Swedish lakes from 1996–2018. Results showed that FI captured spatiotemporal changes in the Swedish lakes and identified distinct spatial patterns above and below the Limes Norrlandicus, a hard ecotone boundary which separates northern and southern ecoregions in Sweden. Further, it revealed that spatial variance changed approaching this boundary. Our results demonstrate the utility of this resilience-based approach for spatiotemporal and spatial regimes analyses linked to monitoring and managing critical watersheds and waterbodies impacted by accelerating environmental change.
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spelling pubmed-89364952022-03-22 Spatiotemporal variability in Swedish lake ecosystems Eason, Tarsha Garmestani, Ahjond Angeler, David G. PLoS One Research Article Studying ecosystem dynamics is critical to monitoring and managing linked systems of humans and nature. Due to the growth of tools and techniques for collecting data, information on the condition of these systems is more widely available. While there are a variety of approaches for mining and assessing data, there is a need for methods to detect latent characteristics in ecosystems linked to temporal and spatial patterns of change. Resilience-based approaches have been effective at not only identifying environmental change but also providing warning in advance of critical transitions in social-ecological systems (SES). In this study, we examine the usefulness of one such method, Fisher Information (FI) for spatiotemporal analysis. FI is used to assess patterns in data and has been established as an effective tool for capturing complex system dynamics to include regimes and regime shifts. We employed FI to assess the biophysical condition of eighty-five Swedish lakes from 1996–2018. Results showed that FI captured spatiotemporal changes in the Swedish lakes and identified distinct spatial patterns above and below the Limes Norrlandicus, a hard ecotone boundary which separates northern and southern ecoregions in Sweden. Further, it revealed that spatial variance changed approaching this boundary. Our results demonstrate the utility of this resilience-based approach for spatiotemporal and spatial regimes analyses linked to monitoring and managing critical watersheds and waterbodies impacted by accelerating environmental change. Public Library of Science 2022-03-21 /pmc/articles/PMC8936495/ /pubmed/35312714 http://dx.doi.org/10.1371/journal.pone.0265571 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Eason, Tarsha
Garmestani, Ahjond
Angeler, David G.
Spatiotemporal variability in Swedish lake ecosystems
title Spatiotemporal variability in Swedish lake ecosystems
title_full Spatiotemporal variability in Swedish lake ecosystems
title_fullStr Spatiotemporal variability in Swedish lake ecosystems
title_full_unstemmed Spatiotemporal variability in Swedish lake ecosystems
title_short Spatiotemporal variability in Swedish lake ecosystems
title_sort spatiotemporal variability in swedish lake ecosystems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936495/
https://www.ncbi.nlm.nih.gov/pubmed/35312714
http://dx.doi.org/10.1371/journal.pone.0265571
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