Monitoring resistance and resilience using carbon trajectories: Analysis of forest management-disturbance interactions.
Autor: | Davis TS; Forest & Rangeland Stewardship, Warner College of Natural Resources, Colorado State University, Fort Collins, Colorado, USA.; Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA., Meddens AJH; School of the Environment, College of Agricultural, Human, and Natural Resource Sciences, Washington State University, Pullman, Washington, USA., Stevens-Rumann CS; Forest & Rangeland Stewardship, Warner College of Natural Resources, Colorado State University, Fort Collins, Colorado, USA.; Colorado Forest Restoration Institute, Colorado State University, Fort Collins, Colorado, USA., Jansen VS; Forest, Rangeland, and Fire Sciences, College of Natural Resources, University of Idaho, Moscow, Idaho, USA., Sibold JS; Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA.; Anthropology and Geography, College of Liberal Arts, Colorado State University, Fort Collins, Colorado, USA., Battaglia MA; USDA Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado, USA. |
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Jazyk: | angličtina |
Zdroj: | Ecological applications : a publication of the Ecological Society of America [Ecol Appl] 2022 Dec; Vol. 32 (8), pp. e2704. Date of Electronic Publication: 2022 Aug 11. |
DOI: | 10.1002/eap.2704 |
Abstrakt: | A changing climate is altering ecosystem carbon dynamics with consequences for natural systems and human economies, but there are few tools available for land managers to meaningfully incorporate carbon trajectories into planning efforts. To address uncertainties wrought by rapidly changing conditions, many practitioners adopt resistance and resilience as ecosystem management goals, but these concepts have proven difficult to monitor across landscapes. Here, we address the growing need to understand and plan for ecosystem carbon with concepts of resistance and resilience. Using time series of carbon fixation (n = 103), we evaluate forest management treatments and their relative impacts on resistance and resilience in the context of an expansive and severe natural disturbance. Using subalpine spruce-fir forest with a known management history as a study system, we match metrics of ecosystem productivity (net primary production, g C m -2 year -1 ) with site-level forest structural measurements to evaluate (1) whether past management efforts impacted forest resistance and resilience during a spruce beetle (Dendroctonus rufipennis) outbreak, and (2) how forest structure and physiography contribute to anomalies in carbon trajectories. Our analyses have several important implications. First, we show that the framework we applied was robust for detecting forest treatment impacts on carbon trajectories, closely tracked changes in site-level biomass, and was supported by multiple evaluation methods converging on similar management effects on resistance and resilience. Second, we found that stand species composition, site productivity, and elevation predicted resistance, but resilience was only related to elevation and aspect. Our analyses demonstrate application of a practical approach for comparing forest treatments and isolating specific site and physiographic factors associated with resistance and resilience to biotic disturbance in a forest system, which can be used by managers to monitor and plan for both outcomes. More broadly, the approach we take here can be applied to many scenarios, which can facilitate integrated management and monitoring efforts. (© 2022 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.) |
Databáze: | MEDLINE |
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