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      Invasive‐dominated grasslands in Hawaiʻi are resilient to disturbance

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          Abstract

          Non‐native‐dominated landscapes may arise from invasion by competitive plant species, disturbance and invasion of early‐colonizing species, or some combination of these. Without knowing site history, however, it is difficult to predict how native or non‐native communities will reassemble after disturbance events. Given increasing disturbance levels across anthropogenically impacted landscapes, predictive understanding of these patterns is important. We asked how disturbance affected community assembly in six invaded habitat types common in dryland, grazed landscapes on Island of Hawai‘i. We mechanically disturbed 100 m 2 plots in six vegetation types dominated by one of four invasive perennial grasses ( Cenchrus ciliaris, Cenchrus clandestinus, Cenchrus setaceus, or Melinis repens), a native shrub ( Dodonaea viscosa), or a native perennial bunchgrass ( Eragrostis atropioides). We censused vegetation before disturbance and monitored woody plant colonization and herbaceous cover for 21 months following the disturbance, categorizing species as competitors, colonizers, or a combination, based on recovery patterns. In addition, we planted individuals of the native shrub and bunchgrass and monitored survival to overcome dispersal limitation of native species when exploring these patterns. We found that the dominant vegetation types showed variation in post‐disturbance syndrome, and that the variation in colonizer versus competitor syndrome occurred both between species, but also within species among different vegetation types. Although there were flushes of native shrub seedlings, these did not survive to 21 months within invaded habitats, probably due to regrowth by competitive invasive grasses. Similarly, survival of planted native individuals was related to the rate of regrowth by dominant species. Regardless of colonization/competitor syndrome, however, all dominant vegetation types were relatively resilient to change. Our results highlight that the altered post‐agricultural, invaded grassland landscapes in Hawaiʻi are stable states. More generally, they point to the importance of resident communities and their effects on species interactions and seed availability in shaping plant community response to disturbance.

          Abstract

          We ask whether most species in disturbed habitats fall into similar categories with respect to being strong competitors versus colonizers using a conceptual framework based on how species assemble into plots over time. Our study uses a replicated disturbance experiment, coupled with close tracking of plant cover and native seedlings, as well as a native outplanting experiment, across six dominant vegetation types, including native and invader‐dominated, in old pasture habitats in Hawaiʻi. Our results highlight that the altered states across formerly grazed landscapes in Hawaiʻi are stable to disturbance, and point to the importance of resident communities and their effects on species interactions and seed availability in shaping plant community response to disturbance.

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          Generalized linear mixed models: a practical guide for ecology and evolution.

          How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when random effects are present. The explosion of research on GLMMs in the last decade has generated considerable uncertainty for practitioners in ecology and evolution. Despite the availability of accurate techniques for estimating GLMM parameters in simple cases, complex GLMMs are challenging to fit and statistical inference such as hypothesis testing remains difficult. We review the use (and misuse) of GLMMs in ecology and evolution, discuss estimation and inference and summarize 'best-practice' data analysis procedures for scientists facing this challenge.
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                Author and article information

                Contributors
                stephanie.yelenik@usda.gov
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                19 March 2024
                March 2024
                : 14
                : 3 ( doiID: 10.1002/ece3.v14.3 )
                : e10948
                Affiliations
                [ 1 ] U.S. Geological Survey Pacific Island Ecosystem Research Station Hawaiʻi National Park Hawaii USA
                [ 2 ] U.S. Forest Service Institute of Pacific Islands Forestry Hilo Hawaii USA
                [ 3 ]Present address: USDA Forest Service, Rocky Mountain Research Station Reno Nevada USA
                Author notes
                [*] [* ] Correspondence

                Stephanie Yelenik, USDA Forest Service, Rocky Mountain Research Station, Reno, NV, USA.

                Email: stephanie.yelenik@ 123456usda.gov

                Author information
                https://orcid.org/0000-0002-9011-0769
                https://orcid.org/0000-0003-4840-8921
                Article
                ECE310948 ECE-2023-05-00844.R1
                10.1002/ece3.10948
                10951494
                38510540
                24863698-b3ff-4236-b5dd-ef8a3209a59d
                Published 2024. This article is a U.S. Government work and is in the public domain in the USA. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 January 2024
                : 19 May 2023
                : 29 January 2024
                Page count
                Figures: 18, Tables: 3, Pages: 22, Words: 13167
                Funding
                Funded by: U.S. Department of Defense , doi 10.13039/100000005;
                Categories
                Applied Ecology
                Restoration Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:20.03.2024

                Evolutionary Biology
                c4 grasses,colonization,community assembly,disturbance,hawai‘i,invasions biology,invasive grasslands

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