Predicting the spatial and temporal dynamics of species interactions in Fagus sylvatica and Pinus sylvestris forests across Europe

FOREST ECOLOGY AND MANAGEMENT

卷:405

Article

Forrester, D. I.^1,2  Ammer, Ch.³  Annighofer, P. J.³  Avdagic, A.⁴  Barbeito, I.⁵  Bielak, K.⁶  Brazaitis, G.⁷  Coll, L.⁸  del Rio, M.^9,10,11  Drossler, L.¹²  Heym, M.¹³  Hurt, V.¹⁴  Lof, M.¹²  Matovic, B.¹⁵  Meloni, F.¹⁶  den Ouden, J.¹⁷  Pach, M.¹⁸  Pereira, M. G.¹⁹  Ponette, Q.^20,21  Pretzsch, H.¹³  Skrzyszewski, J.¹⁸  Stojanovic, D.¹⁵  Svoboda, M.²²  Ruiz-Peinado, R.^9,10,11  Vacchiano, G.^16,23  Verheyen, K.²⁴  Zlatanov, T.²⁵  Bravo-Oviedo, A.^9,10,11 

[1] Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland

[2] Albert Ludwigs Univ Freiburg, Chair Silviculture, Freiburg, Germany

[3] Georg August Univ Gottingen, Silviculture & Forest Ecol Temperate Zones, Gottingen, Germany

[4] Univ Sarajevo, Dept Forest Management & Urban Greenery, Fac Forestry, Sarajevo, Bosnia & Herceg

[5] INRA Ctr Nancy, Lab Etude Ressources Foret Bois LERFoB, Champenoux, France

[6] Warsaw Univ Life Sci, Dept Silviculture, Warsaw, Poland

[7] Aleksandras Stulginskis Univ, Inst Forest Biol & Silviculture, Kaunas, Lithuania

[8] Univ Lleida, Dept Agr & Forest Engn, Forest Sci Ctr Catalonia CTFC, Lleida, Spain

[9] CIFOR Forest Res Ctr, Forest Res Ctr INIA, INIA, Dept Silviculture & Forest Management, Crta La Coruna Km 7 5, Madrid 28040, Spain

[10] Univ Valladolid, Sustainable Forest Management Res Inst, Valladolid, Spain

[11] INIA, Valladolid, Spain

[12] Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, Alnarp, Sweden

[13] Tech Univ Munich, Chair Forest Growth & Yield Sci, Munich, Germany

[14] Mendel Univ Brno, Dept Silviculture, Brno, Czech Republic

[15] Univ Novi Sad, Inst Lowland Forestry & Environm, Novi Sad, Serbia

[16] Univ Turin, Dept Agr Forest & Food Sci, DISAFA, Turin, Italy

[17] Wageningen Univ & Res, Forest Ecol & Forest Management Grp, Wageningen, Netherlands

[18] Univ Agr, Inst Forest Ecol & Silviculture, Dept Silviculture, Krakow, Poland

[19] Univ Tras os Montes & Alto Douro, Ctr Invest & Tecnol Agroambientais & Biol, CITAB, UTAD, P-5000801 Vila Real, Portugal

[20] Catholic Univ Louvain, Fac Biosci Engn, Louvain La Neuve, Belgium

[21] Earth & Life Inst, Louvain La Neuve, Belgium

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

[23] European Commiss, Joint Res Ctr, Directorate D Sustainable Resources Bioecon Unit, Via E Fermi 2749 TP261, I-21027 Ispra, VA, Italy

[24] Univ Ghent, Forest & Nat Lab, Melle, Gontrode, Belgium

[25] Forest Res Inst, Dept Silviculture, Sofia, Bulgaria

关键词: Biodiversity;    Climate;    Competition;    Complementarity;    Forest growth model;    Mixed-species;    Silviculture;   

DOI  :  10.1016/j.foreco.2017.09.029

来源: Elsevier

【 摘 要 】

The productivity and functioning of mixed-species forests often differs from that of monocultures. However, the magnitude and direction of these differences are difficult to predict because species interactions can be modified by many potentially interacting climatic and edaphic conditions, stand structure and previous management. Process-based forest growth models could potentially be used to disentangle the effects of these factors and thereby improve our understanding of mixed forest functioning while facilitating their design and silvicultural management. However, to date, the predicted mixing effects of forest growth models have not been compared with measured mixing effects. In this study, 26 sites across Europe, each containing a mixture and monocultures of Fagus sylvatica and Pinus sylvestris, were used to calculate mixing effects on growth and yield and compare them with the mixing effects predicted by the forest growth model 3-PG(mix). The climate and edaphic conditions, stand structures and ages varied greatly between sites. The model performed well when predicting the stem mass and total mass (and mixing effects on these components), with model efficiency that was usually > 0.7. The model efficiency was lower for growth or smaller components such as foliage mass and root mass. The model was also used to predict how mixing effects would change along gradients in precipitation, temperature, potential available soil water, age, thinning intensity and soil fertility. The predicted patterns were consistent with measurements of mixing effects from published studies. The 3-PG model is a widely used management tool for monospecific stands and this study shows that 3-PGmb, can be used to examine the dynamics of mixed-species stands and determine how they may need to be managed.

【 授权许可】

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