globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2017.09.029
Scopus记录号: 2-s2.0-85029496373
论文题名:
Predicting the spatial and temporal dynamics of species interactions in Fagus sylvatica and Pinus sylvestris forests across Europe
作者: Forrester D.I.; Ammer C.; Annighöfer P.J.; Avdagic A.; Barbeito I.; Bielak K.; Brazaitis G.; Coll L.; del Río M.; Drössler L.; Heym M.; Hurt V.; Löf M.; Matović B.; Meloni F.; den Ouden J.; Pach M.; Pereira M.G.; Ponette Q.; Pretzsch H.; Skrzyszewski J.; Stojanović D.; Svoboda M.; Ruiz-Peinado R.; Vacchiano G.; Verheyen K.; Zlatanov T.; Bravo-Oviedo A.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2017
卷: 405
起始页码: 112
结束页码: 133
语种: 英语
英文关键词: Biodiversity ; Climate ; Competition ; Complementarity ; Forest growth model ; Mixed-species ; Silviculture
英文摘要: 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-PGmix. 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-PGmix can be used to examine the dynamics of mixed-species stands and determine how they may need to be managed. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64078
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作者单位: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland; Chair of Silviculture, Albert-Ludwigs-Universität Freiburg, Germany; Silviculture and Forest Ecology of the Temperate Zones, Georg-August-Universität Göttingen, Germany; Department of Forest Management and Urban Greenery, Faculty of Forestry, University Sarajevo, Bosnia and Herzegovina; Laboratoire d'Etude des Ressources Forêt Bois (LERFoB), INRA Centre of Nancy, Champenoux, France; Department of Silviculture, Warsaw University of Life Sciences, Poland; Institute of Forest Biology and Silviculture, Aleksandras, Stulginskis University, Kaunas, Lithuania; Department of Agriculture and Forest Engineering – Forest Sciences Centre of Catalonia (CTFC), University of Lleida, Spain; Department of Silviculture and Forest Management, INIA, Forest Research Centre INIA-CIFOR Forest Research Centre, Crta. La Coruña km 7,5, Madrid, Spain; Sustainable Forest Management Research Institute, University of Valladolid & INIA, Spain; Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Alnarp, Sweden; Chair for Forest Growth and Yield Science, Technische Universität München, Germany; Department of Silviculture, Mendel University, Brno, Czech Republic; Institute of Lowland Forestry and Environment, University of Novi Sad, Novi Sad, Serbia; Department of Agricultural, Forest and Food Sciences, DISAFA, University of Turin, Turin, Italy; Forest Ecology and Forest Management Group, Wageningen University & Research, Wageningen, Netherlands; Department of Silviculture, Institute of Forest Ecology and Silviculture, University of Agriculture, Krakow, Poland; Centro de Investigação e de Tecnologias Agro-Ambientais e Biológicas, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, Quinta de Prados, Vila Real, Portugal; Universite Catholique de Louvain, Faculty of Bioscience Engineering & Earth and Life Institute, Louvain-la-Neuve, Belgium; Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic; European Commission, Joint Research Centre, Directorate D – Sustainable Resources – Bio-Economy Unit, via E. Fermi 2749 – TP261, Ispra, VA, Italy; Forest & Nature Lab, Ghent University, Melle-Gontrode, Belgium; Department of Silviculture, Forest Research Institute, Sofia, Bulgaria

Recommended Citation:
Forrester D.I.,Ammer C.,Annighöfer P.J.,et al. Predicting the spatial and temporal dynamics of species interactions in Fagus sylvatica and Pinus sylvestris forests across Europe[J]. Forest Ecology and Management,2017-01-01,405
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