Tree species growth response to climate in mixtures of Quercus robur/ Quercus petraea and Pinus sylvestris across Europe- a dynamic, sensitive equilibrium

被引：22

作者：

Vospernik, Sonja ^{[1
]}

Heym, Michael ^{[2
]}

Pretzsch, Hans ^{[3
]}

Pach, Maciej ^{[4
]}

Steckel, Mathias ^{[5
]}

Aldea, Jorge ^{[6
]}

Brazaitis, Gediminas ^{[7
]}

Bravo-Oviedo, Andres ^{[8
]}

Del Rio, Miren ^{[9
]}

Lof, Magnus ^{[6
]}

Pardos, Marta ^{[9
]}

Bielak, Kamil ^{[10
]}

Bravo, Felipe ^{[11
]}

Coll, Lluis ^{[12
,13
]}

Cerny, Jakub ^{[14
]}

Droessler, Lars ^{[15
]}

Ehbrecht, Martin ^{[16
]}

Jansons, Aris ^{[17
]}

Korboulewsky, Nathalie ^{[18
]}

Jourdans, Marion ^{[19
]}

Nord-Larsen, Thomas ^{[20
]}

Nothdurft, Arne ^{[1
]}

Ruiz-Peinado, Ricardo ^{[9
]}

Ponette, Quentin ^{[21
]}

Sitkov, Roman ^{[22
]}

Svoboda, Miroslav ^{[23
]}

Wolff, Barbara ^{[24
]}

机构：

[1] Univ Nat Resources & Life Sci Vienna, Inst Forest Growth, Dept Forest and Soil Sci, BOKU, Peter Jordan Str 82, A-1190 Vienna, Austria

[2] Bavarian State Inst Forestry LWF, Dept Silviculture & Mt Forest, Freising Weihenstephan, Germany

[3] Tech Univ Munich Hans Carl Von Carlowitz, Chair Forest Growth & Yield Sci, Sch Life Sci, Dept Life Sci Syst, D-85354 Freising Weihenstephan, Germany

[4] Agr Univ Krakow, Fac Forestry, Dept Ecol & Silviculture, Al 29 Listopada 46, PL-31425 Krakow, Poland

[5] Forst Baden Wurttemberg AoR, Forstbezirk Ulmer Alb, Schloss str 34, D-89079 Ulm, Germany

[6] Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, Box 190, S-23422 Lomma, Sweden

[7] Vytautas Magnus Univ, Dept Forest Sci, Studentu 11, LT-53361 Kaunas Dist, Lithuania

[8] CSIC, Natl Museum Nat Sci, Dept Biogeog & Global Change, Serrano 115, Madrid 28006, Spain

[9] CSIC, Inst Ciencias Forestales ICIFOR, INIA, Ctra Corun Km 7-5, Madrid 28040, Spain

[10] Warsaw Univ Life Sci, Inst Forest Sci, Dept Silviculture, Nowoursynowska 159-34, Warsaw, Poland

[11] Univ Valladolid, Higher Tech Sch Agr Engn Palencia, Dept Plant Prod & Forest Resources, Valladolid, Spain

[12] Univ Lleida, Dept Agr & Forest Engn EAGROF, Lleida, Spain

[13] Joint Res Unit CTFC AGROTECNIO CERCA, Solsona, Spain

[14] Forestry & Game Management Res Inst, Strnady 136, Jiloviste 25202, Czech Republic

[15] Ilia State Univ, Sch Nat Sci & Med, Kakutsa Cholokashvili Ave 3-5, Tbilisi 0162, Georgia

[16] Univ Gottingen, Silviculture & Forest Ecol Temperate Zones & Ctr B, Busgenweg 1, Gottingen, Germany

[17] Latvian State Forest Res Inst Silava, LV-111 Rigas, Latvia

[18] French Natl Inst Agr Food & Environm INRAE, UR EFNO Ctr Rech Val Loire, F-45290 Nogent Sur Vernisson, France

[19] Univ Lorraine, AgroParisTech, INRAE, UMR Silva, F-54000 Nancy, France

[20] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, Frederiksberg, Denmark

[21] UCLouvain Univ Catholique Louvain, Earth & Life Inst, Croix Sud 2 Box L7 05-09, B-1348 Louvain La Neuve, Belgium

[22] Tech Univ Zvolen, Fac Forestry, Dept Forest Resource Planning & Informat, TG Masaryka 24, Zvolen 96001, Slovakia

[23] Czech Univ Life Sci, Fac Forestry & Wood Sci, Prague, Czech Republic

[24] Hsch Nachhaltige Entwicklung Eberswalde HNEE, FG Waldinventur & Planung, Alfred Moller Str1, D-16225 Eberswalde, Germany

来源：

FOREST ECOLOGY AND MANAGEMENT | 2023年 / 530卷

关键词：

Generalized additive model; Mixed model; Tree rings; Competitive advantage; Local competition; Bio-climatic zones; FAGUS-SYLVATICA; SESSILE OAK; STAND-DENSITY; DROUGHT; COMPETITION; RESILIENCE; FORESTS; SIZE; L; PHOTOSYNTHESIS;

D O I：

10.1016/j.foreco.2022.120753

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Quercus robur/Quercus petraea and Pinus sylvestris are widely distributed and economically important tree species in Europe co-occurring on mesotrophic, xeric and mesic sites. Increasing dry conditions may reduce their growth, but growth reductions may be modified by mixture, competition and site conditions. The annual diameter growth in monospecific and mixed stands along an ecological gradient with mean annual temperatures ranging from 5.5 degrees C to 11.5 degrees C was investigated in this study. On 36 triplets (108 plots), trees were cored and the year-ring series were cross-dated, resulting in year-ring series of 785 and 804 trees for Q. spp. and P. sylvestris, respec-tively. A generalized additive model with a logarithmic link was fit to the data with random effects for the intercept at the triplet, year and tree level and a random slope for the covariate age for each tree; the Tweedie-distribution was used. The final model explained 87 % of the total variation in diameter increment for both tree species. Significant covariates were age, climate variables (long-term mean, monthly), local competition vari-ables, relative dbh, mixture, stand structure and interactions thereof. Tree growth declined with age and local density and increased with social position. It was positively influenced by mixture and structural diversity (Gini coefficient); mixture effects were significant for P. sylvestris only. The influence of potential evapotranspiration (PET) in spring and autumn on tree growth was positive and non-linear, whereas tree growth sharply decreased with increasing PET in June, which proved to be the most influential month on tree growth along the whole ecological gradient. Interactions of PET with tree social position (relative dbh) were significant in July and September for Q. spp. and in April for P. sylvestris. Interactions of climate with density or mixture were not significant. Climatic effects found agree well with previous results from intra-annual growth studies and indicate that the model captures the causal factors for tree growth well. Furthermore, the interaction between climate and relative dbh might indicate a longer growth duration for trees of higher social classes. Analysis of random effects across time and space showed highly dynamic patterns, with competitive advantages changing annually between species and spatial patterns showing no large-scale trends but pointing to the prevalence of local site factors. In mixed-species stands, the tree species have the same competitivity in the long-term, which is modified by climate each year. Climate warming will shift the competitive advantages, but the direction will be highly site-specific.

引用

页数：15

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