Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary

European countries are far from the 15% restoration target to be reached by 2020, partly due to the lack of large-scale studies at the national level that would help prioritise restoration efforts. We investigated the regeneration capacity and the determining environmental factors at the national le...

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Main Authors: Edina Csákvári, Ákos Bede-Fazekas, Ferenc Horváth, Zsolt Molnár, Melinda Halassy
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Global Ecology and Conservation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989421000974
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spelling doaj-678e720ad6de4644823d411f3950a7442021-05-28T05:02:13ZengElsevierGlobal Ecology and Conservation2351-98942021-06-0127e01547Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from HungaryEdina Csákvári0Ákos Bede-Fazekas1Ferenc Horváth2Zsolt Molnár3Melinda Halassy4MTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, 2163 Vácrátót, Hungary; Corresponding author.MTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, 2163 Vácrátót, Hungary; MTA Centre for Ecological Research, GINOP Sustainable Ecosystems Group, Klebelsberg Kuno u. 3, 8237 Tihany, HungaryMTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, 2163 Vácrátót, HungaryMTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, 2163 Vácrátót, HungaryMTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, 2163 Vácrátót, HungaryEuropean countries are far from the 15% restoration target to be reached by 2020, partly due to the lack of large-scale studies at the national level that would help prioritise restoration efforts. We investigated the regeneration capacity and the determining environmental factors at the national level for three Pannonian sandy habitat types. The analysis was based on the Hungarian Vegetation Mapping database that includes a three-level regeneration capacity estimate of semi-natural habitats based on expert judgments after local vegetation mapping. We have selected fifteen environmental predictors that could possibly influence regeneration, including proxies for landscape naturalness, landscape context and abiotic factors. Using the decision tree method, we found that the local regeneration of open and closed steppes is primarily determined by habitat naturalness. For juniper-poplar stands the seasonality of the precipitation is the most important predictor and Natural Capital Index of sandy habitats, as a proxy for landscape naturalness, is the second. In case of neighbouring areas and abandoned fields, the regeneration is primarily affected by the sand content of the soil and the total local extent of habitats. Furthermore, grasslands and agricultural areas represent a potential for regeneration after abandonment. Our results show that in addition to habitat adequacy, proxies for landscape naturalness are the most important predictors of regeneration capacity. This implies that the future dynamics of habitats – and consequently ecosystem health and integrity – are determined primarily by the conservation of remnant natural and semi-natural areas and active restoration to increase the area or improve the state of semi-natural habitats.http://www.sciencedirect.com/science/article/pii/S2351989421000974Regeneration capacityResilienceSandy grasslandEnvironmental predictorNaturalnessLandscape context
collection DOAJ
language English
format Article
sources DOAJ
author Edina Csákvári
Ákos Bede-Fazekas
Ferenc Horváth
Zsolt Molnár
Melinda Halassy
spellingShingle Edina Csákvári
Ákos Bede-Fazekas
Ferenc Horváth
Zsolt Molnár
Melinda Halassy
Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
Global Ecology and Conservation
Regeneration capacity
Resilience
Sandy grassland
Environmental predictor
Naturalness
Landscape context
author_facet Edina Csákvári
Ákos Bede-Fazekas
Ferenc Horváth
Zsolt Molnár
Melinda Halassy
author_sort Edina Csákvári
title Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
title_short Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
title_full Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
title_fullStr Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
title_full_unstemmed Do environmental predictors affect the regeneration capacity of sandy habitats? A country-wide survey from Hungary
title_sort do environmental predictors affect the regeneration capacity of sandy habitats? a country-wide survey from hungary
publisher Elsevier
series Global Ecology and Conservation
issn 2351-9894
publishDate 2021-06-01
description European countries are far from the 15% restoration target to be reached by 2020, partly due to the lack of large-scale studies at the national level that would help prioritise restoration efforts. We investigated the regeneration capacity and the determining environmental factors at the national level for three Pannonian sandy habitat types. The analysis was based on the Hungarian Vegetation Mapping database that includes a three-level regeneration capacity estimate of semi-natural habitats based on expert judgments after local vegetation mapping. We have selected fifteen environmental predictors that could possibly influence regeneration, including proxies for landscape naturalness, landscape context and abiotic factors. Using the decision tree method, we found that the local regeneration of open and closed steppes is primarily determined by habitat naturalness. For juniper-poplar stands the seasonality of the precipitation is the most important predictor and Natural Capital Index of sandy habitats, as a proxy for landscape naturalness, is the second. In case of neighbouring areas and abandoned fields, the regeneration is primarily affected by the sand content of the soil and the total local extent of habitats. Furthermore, grasslands and agricultural areas represent a potential for regeneration after abandonment. Our results show that in addition to habitat adequacy, proxies for landscape naturalness are the most important predictors of regeneration capacity. This implies that the future dynamics of habitats – and consequently ecosystem health and integrity – are determined primarily by the conservation of remnant natural and semi-natural areas and active restoration to increase the area or improve the state of semi-natural habitats.
topic Regeneration capacity
Resilience
Sandy grassland
Environmental predictor
Naturalness
Landscape context
url http://www.sciencedirect.com/science/article/pii/S2351989421000974
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