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Long‐term effectiveness monitoring of spatially patterned restoration methods in a riparian forest.

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Title: Long‐term effectiveness monitoring of spatially patterned restoration methods in a riparian forest.
Authors: Williams, Jared1,2 (AUTHOR) jaredwilliams@ucsb.edu, Lambert, Adam M.1,3 (AUTHOR), Stella, John C.4 (AUTHOR)
Source: Restoration Ecology. Sep2025, Vol. 33 Issue 7, p1-14. 14p.
Subjects: Restoration ecology, Riparian forests, Scientific observation, Introduced species, Vegetation monitoring, Biodiversity
Geographic Terms: California
Abstract: Ecological restoration can effectively slow or reverse the negative impacts that human land degradation and climate change impose on ecosystems. Readily accessible data that detail economical restoration approaches, evaluation techniques, and associated project outcomes can inform effective restoration methodologies to help achieve this potential. We implemented a spatially patterned methodology to restore 87 ha of riparian forest habitat, selectively applying multiple restoration approaches based on localized differences in degradation severity throughout the project area. This work was conducted as part of a large, collaborative effort to control invasive Arundo donax and reestablish contiguous natural habitat throughout the Santa Clara River floodplain in southern California. We leveraged data from expeditious, transect‐oriented vegetation surveys commonly used to quantify simple metrics of native and non‐native vegetation cover to evaluate more complex metrics of strata cover, diversity, and community composition. We compared these metrics between restored and reference areas over a 5‐year project and 4 years post‐restoration to evaluate whether restoration outcomes are sustained longer term and trends in vegetation development can be inferred from shorter‐term datasets. We show that in highly degraded areas, intensive weed removal paired with a "trans‐successional" revegetation approach increased overall diversity and facilitated a community developmental trajectory approaching reference areas. However, species composition did not converge with the reference community until several years post‐restoration, reflecting the long development time for overstory species. Our findings provide guidance in combining effective, needs‐based restoration approaches with robust and economically viable monitoring methods to improve restoration project outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Restoration Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 189329944
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Long‐term effectiveness monitoring of spatially patterned restoration methods in a riparian forest.
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  Data: <searchLink fieldCode="AR" term="%22Williams%2C+Jared%22">Williams, Jared</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jaredwilliams@ucsb.edu</i><br /><searchLink fieldCode="AR" term="%22Lambert%2C+Adam+M%2E%22">Lambert, Adam M.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stella%2C+John+C%2E%22">Stella, John C.</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Restoration+Ecology%22">Restoration Ecology</searchLink>. Sep2025, Vol. 33 Issue 7, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Restoration+ecology%22">Restoration ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Riparian+forests%22">Riparian forests</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Introduced+species%22">Introduced species</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+monitoring%22">Vegetation monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Biodiversity%22">Biodiversity</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink>
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  Label: Abstract
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  Data: Ecological restoration can effectively slow or reverse the negative impacts that human land degradation and climate change impose on ecosystems. Readily accessible data that detail economical restoration approaches, evaluation techniques, and associated project outcomes can inform effective restoration methodologies to help achieve this potential. We implemented a spatially patterned methodology to restore 87 ha of riparian forest habitat, selectively applying multiple restoration approaches based on localized differences in degradation severity throughout the project area. This work was conducted as part of a large, collaborative effort to control invasive Arundo donax and reestablish contiguous natural habitat throughout the Santa Clara River floodplain in southern California. We leveraged data from expeditious, transect‐oriented vegetation surveys commonly used to quantify simple metrics of native and non‐native vegetation cover to evaluate more complex metrics of strata cover, diversity, and community composition. We compared these metrics between restored and reference areas over a 5‐year project and 4 years post‐restoration to evaluate whether restoration outcomes are sustained longer term and trends in vegetation development can be inferred from shorter‐term datasets. We show that in highly degraded areas, intensive weed removal paired with a "trans‐successional" revegetation approach increased overall diversity and facilitated a community developmental trajectory approaching reference areas. However, species composition did not converge with the reference community until several years post‐restoration, reflecting the long development time for overstory species. Our findings provide guidance in combining effective, needs‐based restoration approaches with robust and economically viable monitoring methods to improve restoration project outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Restoration Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189329944
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        Value: 10.1111/rec.70134
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        Text: English
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        PageCount: 14
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      – SubjectFull: Restoration ecology
        Type: general
      – SubjectFull: Riparian forests
        Type: general
      – SubjectFull: Scientific observation
        Type: general
      – SubjectFull: Introduced species
        Type: general
      – SubjectFull: Vegetation monitoring
        Type: general
      – SubjectFull: Biodiversity
        Type: general
      – SubjectFull: California
        Type: general
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      – TitleFull: Long‐term effectiveness monitoring of spatially patterned restoration methods in a riparian forest.
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            NameFull: Williams, Jared
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            NameFull: Lambert, Adam M.
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            NameFull: Stella, John C.
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 33
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