Multiple factors modulate tree growth complementarity in Central European mixed forests

Journal of Ecology - Tập 106 Số 3 - Trang 1106-1119 - 2018
Marco Mina1, Markus Huber1, David I. Forrester1, Esther Thürig1, Brigitte Rohner1
1Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland

Tóm tắt

AbstractMixed species forests can often be more productive and deliver higher levels of ecosystem services and functions than monocultures. However, complementarity effects for any given tree species are difficult to generalize because they can vary greatly along gradients of climatic conditions and resource availability. Identifying the conditions where species diversity can positively influence productivity is crucial. To date, few studies have examined how growth complementarity across species and mixture types is modulated by stand and environmental factors, and fewer have considered more than one or two factors.We investigated how complementarity effects for several major Central European tree species change with climatic and edaphic conditions, and with stand structural characteristics, including species composition. We used data from the Swiss National Forest Inventory, which is based on 3,231 plots of pure and mixed stands (19 mixture types) across a broad environmental gradient, to test (i) how mixing effects change depending on the identity of the admixed species and (ii) if complementarity consistently increases when environmental conditions become harsher.The magnitude, whether positive or negative, of complementarity increased with increasing stand density and stand developmental stage, but no general pattern could be identified across mixture types. Complementarity for many species increased as drought intensity and temperature increased, but not for all species and mixture types. While soil conditions, nitrogen and site topography influenced complementarity for many species, there was no general pattern (increases and decreases were observed).Synthesis. Our study indicates that complementarity varies strongly with stand density and stand development as well as with topographic, climatic and soil conditions. This emphasizes the need to account for site‐dependent conditions when exploring mixture effects in relation to forest productivity. We found that under certain conditions (i.e. increasing drought, higher temperature), mixed forests can promote individual tree growth in Central European temperate forests. However, careful assessments depending on the species composing the stands are required under changing resource availability as well as under different levels of stand density and development.

Từ khóa


Tài liệu tham khảo

Abegg M. Brändli U.‐B. Cioldi F. Fischer C. Herold‐Bonardi A. Huber M. …Vidondo B. (2014).Viertes Schweizerisches Landesforstinventar – Ergebnistabellen und Karten im Internet zum LFI 2009‐2013 (LFI4b). Birmensdorf Switzerland.

10.1890/ES14-00296.1

Ammer C., 2017, Progress in botany, 345

10.1051/forest:2002020

Bachofen H. Brӓndli U. B. &Brassel P.(1988).Schweizerisches Landesforstinventar: Ergebnisse der Erstaufnahme 1982‐1986.Birmensdorf Schweiz:Eidg. Anstalt fuer das forstliche Versuchswesen Bundesamt für Forstwesen und Landschaftsschutz. Retrieved fromhttp://www.lfi.ch/publikationen/publ/lfi1-en.php

10.1016/j.ppees.2013.07.002

Balsberg‐Pahlsson A. M., 1995, Acid deposition and soil acidification at a southwest facing edge of Norway spruce and European beech in south Sweden, Ecological Bulletins, 44, 43

10.1016/0169-5347(94)90088-4

10.1139/x03-158

10.1007/s10342-005-0075-5

10.1016/j.foreco.2007.10.050

10.1890/04-0430

Brändli U.‐B.(2010).Schweizerisches Landesforstinventar. Ergebnisse der dritten Erhebung 2004–2006.Birmensdorf Bern Switzerland:Eidgenössische Forschungsanstalt für Wald Schnee und Landschaft WSL. Bundesamt für Umwelt BAFU. Retrieved fromhttp://www.lfi.ch/publikationen/publ/LFI3_Ergebnisbericht.pdf

10.1093/forestry/cpu018

Brassel P. &Lischke H.(2001).Swiss National Forest Inventory: Methods and models of the second assessment.Birmensdorf Switzerland:WSL. Retrieved fromhttp://www.lfi.ch/publikationen/publ/LFI2_Methoden.pdf

Caudullo G., 2016, European atlas of forest tree species, 114

10.1111/j.1600-0706.2011.19294.x

10.1111/1365-2664.12783

10.1111/1365-2745.12072

10.1007/s10342-015-0912-0

10.1016/j.foreco.2012.12.013

10.1016/j.foreco.2016.10.059

10.1023/A:1023904912712

Ellenberg H., 1988, Vegetation ecology of Central Europe

10.1023/A:1005209622313

10.1016/S0378-1127(02)00446-2

10.1111/gcb.12552

10.1016/j.foreco.2013.10.003

10.1007/s40725-016-0031-2

10.1111/1365-2664.12745

10.1016/j.foreco.2013.04.038

10.1016/j.foreco.2015.08.016

10.1016/j.ecolmodel.2015.07.010

10.1038/ncomms2328

Garber S. M., 2004, Stand productivity and development in two mixed‐species spacing trials in the central Oregon cascades, Forest Science, 50, 92, 10.1093/forestscience/50.1.92

10.1111/1365-2745.12575

10.1073/pnas.1411970111

10.1111/j.1365-2745.2010.01709.x

10.1139/cjfr-2014-0188

10.1111/j.1461-0248.2007.01073.x

10.1111/1365-2745.12522

Kaufmann E., 2001, Swiss National Forest Inventory: Methods and models of the second assessment, 162

10.1007/s13595-014-0446-5

Keller M.(2011).Swiss National Forest Inventory. Manual of the field survey 2004–2007.Birmensdorf Switzerland:Swiss Federal Research Institute WSL. Retrieved fromhttp://www.wsl.ch/publikationen/pdf/10919.pdf

10.1007/s10342-007-0186-2

Lanz A., 2010, National Forest Inventories – Pathways for common reporting, 555

10.1111/j.1365-2486.2009.02048.x

10.1016/j.foreco.2013.04.003

10.1126/science.aaf8957

10.1111/j.1365-2486.2007.01420.x

10.1038/35083573

10.1016/0378-1127(96)03742-5

10.1111/1365-2664.12772

Mina M., 2017, Data from: Multiple factors modulate tree growth complementarity in central European mixed forests, Dryad Data Repository

10.1111/j.1365-2745.2008.01369.x

10.1890/12-1399.1

10.1038/nclimate1853

10.1111/j.1365-2745.2012.02017.x

10.1111/j.1466-8238.2010.00592.x

10.1007/978-1-4419-0318-1

Pinheiro J. Bates D. DebRoy S. Sarkar D. &Team R. C.(2017).nlme: Linear and nonlinear mixed effects models. R package version 3.1‐131. Retrieved fromhttps://CRAN.R-project.org/package=nlme

10.1111/j.1469-8137.2011.03952.x

10.1007/s10342-012-0673-y

10.1016/j.ecolmodel.2015.06.044

10.1111/j.1438-8677.2012.00670.x

R Core Team. (2017).R: A language and environment for statistical computing.Vienna Austria:R Foundation for Statistical Computing. Retrieved fromhttp://www.R-project.org

Reineke L. H., 1933, Perfecting a stand‐density index for evenaged forests, Journal of Agricultural Research, 46, 0627

Remund J.(2013).Ergänzungen zum Projekt Trockenstress im Schweizer Wald. Neueinschätzung der nutzbaren Feldkapazität Datenlieferungen für vier Forschungsprojekte.Birmensdorf:Swiss Federal Institute for Forest Snow and Landscape Research WSL. Retrieved fromhttp://dx.doi.org/10.3929/ethz-a-010693279

Remund J. Rihm B. &Huguenin‐Landl B.(2016).Klimadaten für die Waldmodellierung für das 20. und 21. Jahrhundert – Schlussbericht des Projektes im Forschungsprogramm Wald und Klimawandel.Birmensdorf:Eidg. Forschungsanstalt für Wald Schnee und Landschaft WSL. Retrieved fromhttp://dx.doi.org/10.3929/ethz-a-010693673

10.3188/szf.2015.0389

10.1016/j.foreco.2015.10.022

10.1139/x01-120

10.1111/1365-2664.12511

10.1007/s10342-017-1048-1

10.1007/s10661-005-1605-9

10.1016/j.foreco.2004.07.070

10.1111/1365-2745.12353

10.1016/j.compag.2016.11.016

10.1111/j.1654-1103.2011.01288.x

10.1017/CBO9780511623523

10.1371/journal.pone.0053530

10.1038/s41559-016-0063

Zambrano‐Bigiarini M.(2014).hydroGOF: Goodness‐of‐fit functions for comparison of simulated and observed hydrological time series. R package version 0.3‐8. Retrieved fromhttps://CRAN.R-project.org/package=hydroGOF

10.1111/j.1365-2745.2011.01944.x