دورية أكاديمية
Where can managers effectively resist climate-driven ecological transformation in pinyon-juniper woodlands of the US Southwest?
العنوان: | Where can managers effectively resist climate-driven ecological transformation in pinyon-juniper woodlands of the US Southwest? |
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المؤلفون: | Noel AR; US Geological Survey, Southwest Biological Science Center, Flagstaff, Arizona, USA.; Center for Adaptable Western Landscapes, Northern Arizona University, Flagstaff, Arizona, USA., Shriver RK; Department of Natural Resources and Environmental Sciences, University of Nevada-Reno, Reno, Nevada, USA., Crausbay SD; Conservation Science Partners, Truckee, California, USA., Bradford JB; US Geological Survey, Southwest Biological Science Center, Flagstaff, Arizona, USA.; Center for Adaptable Western Landscapes, Northern Arizona University, Flagstaff, Arizona, USA. |
المصدر: | Global change biology [Glob Chang Biol] 2023 Aug; Vol. 29 (15), pp. 4327-4341. Date of Electronic Publication: 2023 May 29. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Blackwell Pub Country of Publication: England NLM ID: 9888746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2486 (Electronic) Linking ISSN: 13541013 NLM ISO Abbreviation: Glob Chang Biol Subsets: MEDLINE |
أسماء مطبوعة: | Publication: Original Publication: Oxford, UK : Blackwell Science, 1995- |
مواضيع طبية MeSH: | Juniperus* , Pinus*, Ecosystem ; Forests ; Trees ; Climate Change |
مستخلص: | Pinyon-juniper (PJ) woodlands are an important component of dryland ecosystems across the US West and are potentially susceptible to ecological transformation. However, predicting woodland futures is complicated by species-specific strategies for persisting and reproducing under drought conditions, uncertainty in future climate, and limitations to inferring demographic rates from forest inventory data. Here, we leverage new demographic models to quantify how climate change is expected to alter population demographics in five PJ tree species in the US West and place our results in the context of a climate adaptation framework to resist, accept, or direct ecological transformation. Two of five study species, Pinus edulis and Juniperus monosperma, are projected to experience population declines, driven by both rising mortality and decreasing recruitment rates. These declines are reasonably consistent across various climate futures, and the magnitude of uncertainty in population growth due to future climate is less than uncertainty due to how demographic rates will respond to changing climate. We assess the effectiveness of management to reduce tree density and mitigate competition, and use the results to classify southwest woodlands into areas where transformation is (a) unlikely and can be passively resisted, (b) likely but may be resisted by active management, and (c) likely unavoidable, requiring managers to accept or direct the trajectory. Population declines are projected to promote ecological transformation in the warmer and drier PJ communities of the southwest, encompassing 37.1%-81.1% of our sites, depending on future climate scenarios. Less than 20% of sites expected to transform away from PJ have potential to retain existing tree composition by density reduction. Our results inform where this adaptation strategy could successfully resist ecological transformation in coming decades and allow for a portfolio design approach across the geographic range of PJ woodlands. (© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.) |
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معلومات مُعتمدة: | North Central Climate Adaptation Science Center |
فهرسة مساهمة: | Keywords: climate adaptation; climate change; dry forests and woodlands; ecological transformation; forest management; tree mortality; tree recruitment |
تواريخ الأحداث: | Date Created: 20230529 Date Completed: 20230706 Latest Revision: 20230831 |
رمز التحديث: | 20230901 |
DOI: | 10.1111/gcb.16756 |
PMID: | 37246831 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1365-2486 |
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DOI: | 10.1111/gcb.16756 |