Hierarchy of environmental factors driving restoration of dry grasslands: A multi‐site analysis

Questions Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better design of restoration projects. We investigated how restoration methods, soil characteristics, time since sowing or abandonment, proximity e...

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Published inApplied vegetation science Vol. 24; no. 2
Main Authors Prach, Karel, Fajmon, Karel, Řehounková, Klára, Jongepierová, Ivana, Török, Péter
Format Journal Article
LanguageEnglish
Published Malden Wiley Subscription Services, Inc 01.04.2021
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ISSN1402-2001
1654-109X
DOI10.1111/avsc.12576

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Abstract Questions Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better design of restoration projects. We investigated how restoration methods, soil characteristics, time since sowing or abandonment, proximity effects, and climate influence vegetation changes and restoration success in the restored grasslands. We particularly asked: (a) which of the studied environmental factors influence the course of restoration of dry grasslands and how much; (b) what is their hierarchy; and (c) what are the implications for ecological restoration? Location White Carpathians Protected Landscape Area, eastern Czech Republic. Methods We studied 82 dry grasslands restored on former arable land, either sown with a regional or commercial clover–grass seed mixture or left to spontaneous succession, and compared them with ancient dry grasslands as reference sites. Data were processed using Detrended Correspondence Analysis and Canonical Correspondence Analysis. Generalized linear models (GLMs) were used to test the relationships between two measures of restoration success (number of colonizing target species and Bray–Curtis similarity between restored and reference vegetation) and the environmental factors. Results The ordination results demonstrate some convergence of grasslands restored with different methods toward reference sites. Using regional seed mixtures led to a higher participation of dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species. All tested groups of environmental variables exhibited some significant effects on the course of restoration. Their hierarchy varied depending on the vegetation characteristic we used but generally, restoration method and soil factors appeared to be the most important, followed by time since sowing or abandonment, climatic factors, and proximity effects. Conclusions When planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, i.e., location of the restored site in the landscape matrix and climatic conditions, and select proper restoration methods. When planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, and select proper restoration methods. Using regional seed mixtures led to a higher participation of target dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species.
AbstractList QuestionsQuantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better design of restoration projects. We investigated how restoration methods, soil characteristics, time since sowing or abandonment, proximity effects, and climate influence vegetation changes and restoration success in the restored grasslands. We particularly asked: (a) which of the studied environmental factors influence the course of restoration of dry grasslands and how much; (b) what is their hierarchy; and (c) what are the implications for ecological restoration?LocationWhite Carpathians Protected Landscape Area, eastern Czech Republic.MethodsWe studied 82 dry grasslands restored on former arable land, either sown with a regional or commercial clover–grass seed mixture or left to spontaneous succession, and compared them with ancient dry grasslands as reference sites. Data were processed using Detrended Correspondence Analysis and Canonical Correspondence Analysis. Generalized linear models (GLMs) were used to test the relationships between two measures of restoration success (number of colonizing target species and Bray–Curtis similarity between restored and reference vegetation) and the environmental factors.ResultsThe ordination results demonstrate some convergence of grasslands restored with different methods toward reference sites. Using regional seed mixtures led to a higher participation of dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species. All tested groups of environmental variables exhibited some significant effects on the course of restoration. Their hierarchy varied depending on the vegetation characteristic we used but generally, restoration method and soil factors appeared to be the most important, followed by time since sowing or abandonment, climatic factors, and proximity effects.ConclusionsWhen planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, i.e., location of the restored site in the landscape matrix and climatic conditions, and select proper restoration methods.
Questions Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better design of restoration projects. We investigated how restoration methods, soil characteristics, time since sowing or abandonment, proximity effects, and climate influence vegetation changes and restoration success in the restored grasslands. We particularly asked: (a) which of the studied environmental factors influence the course of restoration of dry grasslands and how much; (b) what is their hierarchy; and (c) what are the implications for ecological restoration? Location White Carpathians Protected Landscape Area, eastern Czech Republic. Methods We studied 82 dry grasslands restored on former arable land, either sown with a regional or commercial clover–grass seed mixture or left to spontaneous succession, and compared them with ancient dry grasslands as reference sites. Data were processed using Detrended Correspondence Analysis and Canonical Correspondence Analysis. Generalized linear models (GLMs) were used to test the relationships between two measures of restoration success (number of colonizing target species and Bray–Curtis similarity between restored and reference vegetation) and the environmental factors. Results The ordination results demonstrate some convergence of grasslands restored with different methods toward reference sites. Using regional seed mixtures led to a higher participation of dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species. All tested groups of environmental variables exhibited some significant effects on the course of restoration. Their hierarchy varied depending on the vegetation characteristic we used but generally, restoration method and soil factors appeared to be the most important, followed by time since sowing or abandonment, climatic factors, and proximity effects. Conclusions When planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, i.e., location of the restored site in the landscape matrix and climatic conditions, and select proper restoration methods. When planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, and select proper restoration methods. Using regional seed mixtures led to a higher participation of target dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species.
QUESTIONS: Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better design of restoration projects. We investigated how restoration methods, soil characteristics, time since sowing or abandonment, proximity effects, and climate influence vegetation changes and restoration success in the restored grasslands. We particularly asked: (a) which of the studied environmental factors influence the course of restoration of dry grasslands and how much; (b) what is their hierarchy; and (c) what are the implications for ecological restoration? LOCATION: White Carpathians Protected Landscape Area, eastern Czech Republic. METHODS: We studied 82 dry grasslands restored on former arable land, either sown with a regional or commercial clover–grass seed mixture or left to spontaneous succession, and compared them with ancient dry grasslands as reference sites. Data were processed using Detrended Correspondence Analysis and Canonical Correspondence Analysis. Generalized linear models (GLMs) were used to test the relationships between two measures of restoration success (number of colonizing target species and Bray–Curtis similarity between restored and reference vegetation) and the environmental factors. RESULTS: The ordination results demonstrate some convergence of grasslands restored with different methods toward reference sites. Using regional seed mixtures led to a higher participation of dry grassland species, while using commercial seed mixtures and spontaneous succession favored mesic grassland species. All tested groups of environmental variables exhibited some significant effects on the course of restoration. Their hierarchy varied depending on the vegetation characteristic we used but generally, restoration method and soil factors appeared to be the most important, followed by time since sowing or abandonment, climatic factors, and proximity effects. CONCLUSIONS: When planning grassland restoration projects, we have to consider especially soil characteristics and landscape context, i.e., location of the restored site in the landscape matrix and climatic conditions, and select proper restoration methods.
Author Fajmon, Karel
Török, Péter
Jongepierová, Ivana
Prach, Karel
Řehounková, Klára
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Snippet Questions Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better...
QuestionsQuantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a better...
QUESTIONS: Quantification of the role of particular factors driving restoration may improve our understanding of restoration processes and thus lead to a...
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SubjectTerms Abandonment
Agricultural land
Arable land
arable soils
Climate effects
Climatic conditions
Clover
correspondence analysis
Czech Republic
dry grasslands
Environmental factors
Environmental restoration
Environmental testing
Generalized linear models
grassland restoration
Grasslands
Landscape
Landscape protection
landscapes
Ordination
proximity effects
Restoration
restoration method
seed mixtures
Soil characteristics
soil factors
Soil investigations
Soils
Species
spontaneous colonization
Statistical models
target species
Vegetation
Vegetation changes
Title Hierarchy of environmental factors driving restoration of dry grasslands: A multi‐site analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Favsc.12576
https://www.proquest.com/docview/2545434321
https://www.proquest.com/docview/2661001959
Volume 24
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