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Spatiotemporal variability in Swedish lake ecosystems

Eason, Tarsha and Garmestani, Ahjond and Angeler, David G. and Angeler, David and Angeler, David G. (2022). Spatiotemporal variability in Swedish lake ecosystems. PLoS ONE. 17 :3 , e0265571
[Research article]

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Abstract

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.

Authors/Creators:Eason, Tarsha and Garmestani, Ahjond and Angeler, David G. and Angeler, David and Angeler, David G.
Title:Spatiotemporal variability in Swedish lake ecosystems
Series Name/Journal:PLoS ONE
Year of publishing :2022
Volume:17
Number:3
Article number:e0265571
Number of Pages:20
Publisher:PUBLIC LIBRARY SCIENCE
ISSN:1932-6203
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Public Domain Dedication
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Oceanography, Hydrology, Water Resources
URN:NBN:urn:nbn:se:slu:epsilon-p-118049
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118049
Additional ID:
Type of IDID
DOI10.1371/journal.pone.0265571
Web of Science (WoS)000803647900001
ID Code:28675
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Aquatic Sciences and Assessment
Deposited By: SLUpub Connector
Deposited On:30 Aug 2022 14:21
Metadata Last Modified:30 Aug 2022 14:31

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