A multidimensional stability framework enhances interpretation and comparison of carbon cycling response to disturbance. Issue 11 (7th November 2021)

• Record Type: Journal Article
• Authors: Mathes, Kayla C.; Ju, Yang; Kleinke, Callie; Oldfield, Callie; Bohrer, Gil; Bond‐Lamberty, Ben; Vogel, Christoph S.; Dorheim, Kalyn; Gough, Christopher M.
• Is Part Of: Ecosphere. Volume 12:Issue 11(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-11-07
• Subjects: carbon -- disturbance -- ecosystem ecology -- forests -- resilience -- resistance -- stability -- synthesis; Ecology -- Periodicals; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecs2.3800
• Languages: English
• ISSNs: 2150-8925

Abstract

Abstract: The concept of stability is central to the study and sustainability of vital ecosystem goods and services as disturbances increase globally. While ecosystem ecologists, including carbon (C) cycling scientists, have long‐considered multiple dimensions of disturbance response, our discipline lacks an agreed‐upon analytical framework for characterizing multidimensional stability. Here, we advocate for the broader adoption of a standardized and normalized multidimensional stability framework for analyzing disturbance response. This framework includes four dimensions of stability: the degree of initial change in C fluxes (i.e., resistance ); rate (i.e., resilience ) and variability (i.e., temporal stability ) of return to pre‐disturbance C fluxes; and the extent of return to pre‐disturbance C fluxes (i.e., recovery ). Using this framework, we highlight findings not readily seen from analysis of absolute fluxes, including trade‐offs between initial and long‐term C flux responses to disturbance; different overall stability profiles among fluxes; and, using a pilot dataset, similar relative stability of net primary production following fire and insect disturbances. We conclude that ecosystem ecologists' embrace of a unifying multidimensional stability framework as a complement to approaches focused on absolute C fluxes could advance global change research by aiding in the novel interpretation, comprehensive synthesis, and improved forecasting of ecosystems' response to an increasing array of disturbances.