Examining assumptions of soil microbial ecology in the monitoring of ecological restoration
Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the larg...
Ausführliche Beschreibung
Autor*in: |
Miranda M. Hart [verfasserIn] Adam T. Cross [verfasserIn] Haylee M. D'Agui [verfasserIn] Kingsley W. Dixon [verfasserIn] Mieke Van der Heyde [verfasserIn] Bede Mickan [verfasserIn] Christina Horst [verfasserIn] Benjamin Moreira Grez [verfasserIn] Justin M. Valliere [verfasserIn] Raphael Viscarra Rossel [verfasserIn] Andrew Whiteley [verfasserIn] Wei San Wong [verfasserIn] Hongtao Zhong [verfasserIn] Paul Nevill [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
In: Ecological Solutions and Evidence - Wiley, 2020, 1(2020), 2, Seite n/a-n/a |
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Übergeordnetes Werk: |
volume:1 ; year:2020 ; number:2 ; pages:n/a-n/a |
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DOI / URN: |
10.1002/2688-8319.12031 |
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Katalog-ID: |
DOAJ059207191 |
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520 | |a Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. | ||
650 | 4 | |a biodiversity monitoring | |
650 | 4 | |a ecosystem functioning | |
650 | 4 | |a microbial community composition | |
650 | 4 | |a restoration ecology | |
650 | 4 | |a soil microbes | |
653 | 0 | |a Environmental sciences | |
653 | 0 | |a Ecology | |
700 | 0 | |a Adam T. Cross |e verfasserin |4 aut | |
700 | 0 | |a Haylee M. D'Agui |e verfasserin |4 aut | |
700 | 0 | |a Kingsley W. Dixon |e verfasserin |4 aut | |
700 | 0 | |a Mieke Van der Heyde |e verfasserin |4 aut | |
700 | 0 | |a Bede Mickan |e verfasserin |4 aut | |
700 | 0 | |a Christina Horst |e verfasserin |4 aut | |
700 | 0 | |a Benjamin Moreira Grez |e verfasserin |4 aut | |
700 | 0 | |a Justin M. Valliere |e verfasserin |4 aut | |
700 | 0 | |a Raphael Viscarra Rossel |e verfasserin |4 aut | |
700 | 0 | |a Andrew Whiteley |e verfasserin |4 aut | |
700 | 0 | |a Wei San Wong |e verfasserin |4 aut | |
700 | 0 | |a Hongtao Zhong |e verfasserin |4 aut | |
700 | 0 | |a Paul Nevill |e verfasserin |4 aut | |
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10.1002/2688-8319.12031 doi (DE-627)DOAJ059207191 (DE-599)DOAJ69a54bd2cabc429e9fe9c5bdd9f5e48f DE-627 ger DE-627 rakwb eng GE1-350 QH540-549.5 Miranda M. Hart verfasserin aut Examining assumptions of soil microbial ecology in the monitoring of ecological restoration 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. biodiversity monitoring ecosystem functioning microbial community composition restoration ecology soil microbes Environmental sciences Ecology Adam T. Cross verfasserin aut Haylee M. D'Agui verfasserin aut Kingsley W. Dixon verfasserin aut Mieke Van der Heyde verfasserin aut Bede Mickan verfasserin aut Christina Horst verfasserin aut Benjamin Moreira Grez verfasserin aut Justin M. Valliere verfasserin aut Raphael Viscarra Rossel verfasserin aut Andrew Whiteley verfasserin aut Wei San Wong verfasserin aut Hongtao Zhong verfasserin aut Paul Nevill verfasserin aut In Ecological Solutions and Evidence Wiley, 2020 1(2020), 2, Seite n/a-n/a (DE-627)169805923X (DE-600)3021448-8 26888319 nnns volume:1 year:2020 number:2 pages:n/a-n/a https://doi.org/10.1002/2688-8319.12031 kostenfrei https://doaj.org/article/69a54bd2cabc429e9fe9c5bdd9f5e48f kostenfrei https://doi.org/10.1002/2688-8319.12031 kostenfrei https://doaj.org/toc/2688-8319 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2020 2 n/a-n/a |
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10.1002/2688-8319.12031 doi (DE-627)DOAJ059207191 (DE-599)DOAJ69a54bd2cabc429e9fe9c5bdd9f5e48f DE-627 ger DE-627 rakwb eng GE1-350 QH540-549.5 Miranda M. Hart verfasserin aut Examining assumptions of soil microbial ecology in the monitoring of ecological restoration 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. biodiversity monitoring ecosystem functioning microbial community composition restoration ecology soil microbes Environmental sciences Ecology Adam T. Cross verfasserin aut Haylee M. D'Agui verfasserin aut Kingsley W. Dixon verfasserin aut Mieke Van der Heyde verfasserin aut Bede Mickan verfasserin aut Christina Horst verfasserin aut Benjamin Moreira Grez verfasserin aut Justin M. Valliere verfasserin aut Raphael Viscarra Rossel verfasserin aut Andrew Whiteley verfasserin aut Wei San Wong verfasserin aut Hongtao Zhong verfasserin aut Paul Nevill verfasserin aut In Ecological Solutions and Evidence Wiley, 2020 1(2020), 2, Seite n/a-n/a (DE-627)169805923X (DE-600)3021448-8 26888319 nnns volume:1 year:2020 number:2 pages:n/a-n/a https://doi.org/10.1002/2688-8319.12031 kostenfrei https://doaj.org/article/69a54bd2cabc429e9fe9c5bdd9f5e48f kostenfrei https://doi.org/10.1002/2688-8319.12031 kostenfrei https://doaj.org/toc/2688-8319 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2020 2 n/a-n/a |
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Miranda M. Hart @@aut@@ Adam T. Cross @@aut@@ Haylee M. D'Agui @@aut@@ Kingsley W. Dixon @@aut@@ Mieke Van der Heyde @@aut@@ Bede Mickan @@aut@@ Christina Horst @@aut@@ Benjamin Moreira Grez @@aut@@ Justin M. Valliere @@aut@@ Raphael Viscarra Rossel @@aut@@ Andrew Whiteley @@aut@@ Wei San Wong @@aut@@ Hongtao Zhong @@aut@@ Paul Nevill @@aut@@ |
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Miranda M. Hart |
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Miranda M. Hart misc GE1-350 misc QH540-549.5 misc biodiversity monitoring misc ecosystem functioning misc microbial community composition misc restoration ecology misc soil microbes misc Environmental sciences misc Ecology Examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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GE1-350 QH540-549.5 Examining assumptions of soil microbial ecology in the monitoring of ecological restoration biodiversity monitoring ecosystem functioning microbial community composition restoration ecology soil microbes |
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Examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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Examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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Ecological Solutions and Evidence |
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Miranda M. Hart Adam T. Cross Haylee M. D'Agui Kingsley W. Dixon Mieke Van der Heyde Bede Mickan Christina Horst Benjamin Moreira Grez Justin M. Valliere Raphael Viscarra Rossel Andrew Whiteley Wei San Wong Hongtao Zhong Paul Nevill |
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examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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Examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. |
abstractGer |
Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. |
abstract_unstemmed |
Abstract 1. Global interest in building healthy soils combined with new DNA sequencing technologies has led to the generation of a vast amount of soil microbial community (SMC) data. 2. SMC analysis is being adopted widely for monitoring ecological restoration trajectories. However, despite the large and growing quantity of soil microbial data, it remains unclear how these data inform and best guide restoration practice. 3. Here, we examine assumptions around SMC as a tool for guiding ecosystem restoration and evaluate the effectiveness of using species inventories of SMC as a benchmark for restoration success. 4. We investigate other approaches of assessing soil health, and conclude that we can significantly enhance the utility of species inventory data for ecological restoration by complementing it with the use of non‐molecular approaches. |
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Examining assumptions of soil microbial ecology in the monitoring of ecological restoration |
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Adam T. Cross Haylee M. D'Agui Kingsley W. Dixon Mieke Van der Heyde Bede Mickan Christina Horst Benjamin Moreira Grez Justin M. Valliere Raphael Viscarra Rossel Andrew Whiteley Wei San Wong Hongtao Zhong Paul Nevill |
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Adam T. Cross Haylee M. D'Agui Kingsley W. Dixon Mieke Van der Heyde Bede Mickan Christina Horst Benjamin Moreira Grez Justin M. Valliere Raphael Viscarra Rossel Andrew Whiteley Wei San Wong Hongtao Zhong Paul Nevill |
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