Influence of species interactions and climate on tree mortality in mixed stands of Pinus sylvestris, Betula spp., and Picea abies Article Swipe
Sonia Condés
,
Kamil Bielak
,
Gediminas Brazaitis
,
Andreas Brunner
,
Magnus Löf
,
Maciej Pach
,
Miren del Rı́o
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s10342-025-01760-x
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s10342-025-01760-x
Tree mortality is a complex process associated with endogenous factors such as tree size, species composition or stand density, which may interact with each other and/or with exogenous factors such as climate. We studied the influence of these factors on background tree mortality in Scots pine, Norway spruce, and downy and silver birch mixed forests located in Central and Northern European continental (Poland) and boreal (NE Poland, Lithuania, Sweden and Norway) regions. Our main objective was to disentangle how species interactions influence background mortality along a gradient of climate conditions. To achieve this, we developed mortality models using a set of 188405 sample trees in 6840 permanent sample plots, taken from the National Forest Inventories of the four countries. Our results indicate that tree mortality and the effects of competition were species-specific. The competition from pine resulted in higher tree mortality for the pine itself rather than for birch or spruce, and the competition from spruce was usually the greatest, causing higher tree mortality in the three studied species. Temperature modified the effects of competition, always magnifying the effects of intra- or inter-specific competition depending on the species. However, the effect of temperature was complex, as the density-dependent and the density-independent mortality varied in different ways with temperature. In general, mixing pine with spruce and birch increases pine mortality, whereas it favors spruce and birch survival, especially at warmer sites. These findings may be useful for the management of these mixtures in the context of climate change.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10342-025-01760-x
- OA Status
- hybrid
- Cited By
- 2
- References
- 90
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407788464
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407788464Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s10342-025-01760-xDigital Object Identifier
- Title
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Influence of species interactions and climate on tree mortality in mixed stands of Pinus sylvestris, Betula spp., and Picea abiesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-02-20Full publication date if available
- Authors
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Sonia Condés, Kamil Bielak, Gediminas Brazaitis, Andreas Brunner, Magnus Löf, Maciej Pach, Miren del Rı́oList of authors in order
- Landing page
-
https://doi.org/10.1007/s10342-025-01760-xPublisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1007/s10342-025-01760-xDirect OA link when available
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Pinus
, Plant ecology, Picea abies, Botany, Scots pine, Biology, Ecology, Forestry, Geography Top concepts (fields/topics) attached by OpenAlex - Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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| abstract_inverted_index.188405 | 102 |
| abstract_inverted_index.Forest | 114 |
| abstract_inverted_index.Norway | 47 |
| abstract_inverted_index.Sweden | 69 |
| abstract_inverted_index.always | 176 |
| abstract_inverted_index.and/or | 26 |
| abstract_inverted_index.boreal | 65 |
| abstract_inverted_index.effect | 191 |
| abstract_inverted_index.favors | 222 |
| abstract_inverted_index.higher | 139, 162 |
| abstract_inverted_index.intra- | 181 |
| abstract_inverted_index.itself | 145 |
| abstract_inverted_index.mixing | 211 |
| abstract_inverted_index.models | 97 |
| abstract_inverted_index.plots, | 109 |
| abstract_inverted_index.rather | 146 |
| abstract_inverted_index.sample | 103, 108 |
| abstract_inverted_index.silver | 52 |
| abstract_inverted_index.sites. | 230 |
| abstract_inverted_index.spruce | 156, 214, 223 |
| abstract_inverted_index.useful | 235 |
| abstract_inverted_index.varied | 203 |
| abstract_inverted_index.warmer | 229 |
| abstract_inverted_index.Central | 58 |
| abstract_inverted_index.Norway) | 71 |
| abstract_inverted_index.Poland, | 67 |
| abstract_inverted_index.achieve | 92 |
| abstract_inverted_index.causing | 161 |
| abstract_inverted_index.change. | 247 |
| abstract_inverted_index.climate | 89, 246 |
| abstract_inverted_index.complex | 5 |
| abstract_inverted_index.context | 244 |
| abstract_inverted_index.effects | 128, 173, 179 |
| abstract_inverted_index.factors | 10, 29, 39 |
| abstract_inverted_index.forests | 55 |
| abstract_inverted_index.located | 56 |
| abstract_inverted_index.process | 6 |
| abstract_inverted_index.results | 121 |
| abstract_inverted_index.species | 15, 80 |
| abstract_inverted_index.spruce, | 48, 151 |
| abstract_inverted_index.studied | 34, 168 |
| abstract_inverted_index.usually | 158 |
| abstract_inverted_index.whereas | 220 |
| abstract_inverted_index.(Poland) | 63 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.European | 61 |
| abstract_inverted_index.However, | 189 |
| abstract_inverted_index.National | 113 |
| abstract_inverted_index.Northern | 60 |
| abstract_inverted_index.climate. | 32 |
| abstract_inverted_index.complex, | 195 |
| abstract_inverted_index.density, | 19 |
| abstract_inverted_index.findings | 232 |
| abstract_inverted_index.general, | 210 |
| abstract_inverted_index.gradient | 87 |
| abstract_inverted_index.indicate | 122 |
| abstract_inverted_index.interact | 22 |
| abstract_inverted_index.mixtures | 241 |
| abstract_inverted_index.modified | 171 |
| abstract_inverted_index.regions. | 72 |
| abstract_inverted_index.resulted | 137 |
| abstract_inverted_index.species. | 169, 188 |
| abstract_inverted_index.depending | 185 |
| abstract_inverted_index.developed | 95 |
| abstract_inverted_index.different | 205 |
| abstract_inverted_index.exogenous | 28 |
| abstract_inverted_index.greatest, | 160 |
| abstract_inverted_index.increases | 217 |
| abstract_inverted_index.influence | 36, 82 |
| abstract_inverted_index.mortality | 2, 43, 84, 96, 125, 141, 164, 202 |
| abstract_inverted_index.objective | 75 |
| abstract_inverted_index.permanent | 107 |
| abstract_inverted_index.survival, | 226 |
| abstract_inverted_index.Lithuania, | 68 |
| abstract_inverted_index.associated | 7 |
| abstract_inverted_index.background | 41, 83 |
| abstract_inverted_index.countries. | 119 |
| abstract_inverted_index.endogenous | 9 |
| abstract_inverted_index.especially | 227 |
| abstract_inverted_index.magnifying | 177 |
| abstract_inverted_index.management | 238 |
| abstract_inverted_index.mortality, | 219 |
| abstract_inverted_index.Inventories | 115 |
| abstract_inverted_index.Temperature | 170 |
| abstract_inverted_index.competition | 130, 134, 154, 184 |
| abstract_inverted_index.composition | 16 |
| abstract_inverted_index.conditions. | 90 |
| abstract_inverted_index.continental | 62 |
| abstract_inverted_index.disentangle | 78 |
| abstract_inverted_index.temperature | 193 |
| abstract_inverted_index.competition, | 175 |
| abstract_inverted_index.interactions | 81 |
| abstract_inverted_index.temperature. | 208 |
| abstract_inverted_index.inter-specific | 183 |
| abstract_inverted_index.density-dependent | 198 |
| abstract_inverted_index.species-specific. | 132 |
| abstract_inverted_index.density-independent | 201 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.94826612 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |