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Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience.

التفاصيل البيبلوغرافية
العنوان: Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience.
المؤلفون: Blaszczak JR; Department of Natural Resources and Environmental Science, University of Nevada, Reno, Nevada, USA.; Flathead Lake Biological Station, University of Montana, Polson, Montana, USA., Yackulic CB; U.S. Geological Survey, Southwest Biological Science Center, Flagstaff, Arizona, USA., Shriver RK; Department of Natural Resources and Environmental Science, University of Nevada, Reno, Nevada, USA., Hall RO Jr; Flathead Lake Biological Station, University of Montana, Polson, Montana, USA.
المصدر: Ecology letters [Ecol Lett] 2023 Sep; Vol. 26 (9), pp. 1510-1522. Date of Electronic Publication: 2023 Jun 23.
نوع المنشور: Letter
اللغة: English
بيانات الدورية: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 101121949 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1461-0248 (Electronic) Linking ISSN: 1461023X NLM ISO Abbreviation: Ecol Lett Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford, UK : Blackwell Publishing
Original Publication: Oxford, UK : [Paris, France] : Blackwell Science ; Centre national de la recherche scientifique, c1998-
مواضيع طبية MeSH: Ecosystem* , Rivers*, Biomass ; Time Factors ; Carbon Cycle
مستخلص: Directly observing autotrophic biomass at ecologically relevant frequencies is difficult in many ecosystems, hampering our ability to predict productivity through time. Since disturbances can impart distinct reductions in river productivity through time by modifying underlying standing stocks of biomass, mechanistic models fit to productivity time series can infer underlying biomass dynamics. We incorporated biomass dynamics into a river ecosystem productivity model for six rivers to identify disturbance flow thresholds and understand the resilience of primary producers. The magnitude of flood necessary to disturb biomass and thereby reduce ecosystem productivity was consistently lower than the more commonly used disturbance flow threshold of the flood magnitude necessary to mobilize river bed sediment. The estimated daily maximum percent increase in biomass (a proxy for resilience) ranged from 5% to 42% across rivers. Our latent biomass model improves understanding of disturbance thresholds and recovery patterns of autotrophic biomass within river ecosystems.
(© 2023 John Wiley & Sons Ltd.)
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معلومات مُعتمدة: 1834679 Division of Environmental Biology; 2019528 Office of Integrative Activities
فهرسة مساهمة: Keywords: autotrophic biomass; disturbance ecology; gross primary productivity; population dynamics; resilience
تواريخ الأحداث: Date Created: 20230624 Date Completed: 20230901 Latest Revision: 20230901
رمز التحديث: 20230901
DOI: 10.1111/ele.14269
PMID: 37353910
قاعدة البيانات: MEDLINE
الوصف
تدمد:1461-0248
DOI:10.1111/ele.14269