It is assumed that global change is already affecting the composition, structure and distribution of forest ecosystems; however, detailed evidences of altitudinal and latitudinal shifts are still scarce.
To develop a method based on National Forest Inventory (NFI) to assess spatio-temporal changes in species distributions.
We develop an approach based on universal kriging to compare species distribution models from the different NFI cycles and regardless of the differences in the sampling schemes used. Furthermore, a confidence interval approach is used to assess significant changes in species distribution. The approach is applied to some of the southernmost populations of Pinus sylvestris and Fagus sylvatica in the Western Pyrenees over the last 40 years.
An increase of the presence of the two species in the region was observed. Scots pine distribution has shifted about 1.5 km northwards over recent decades, whereas the European beech has extended its distribution southwards by about 2 km. Furthermore, the optimum altitude for both species has risen by about 200 m. As a result, the zone in which the two species coexist has been enlarged.
This approach provides a useful tool to compare NFI data from different sampling schemes, quantifying and testing significant shifts in tree species distribution over recent decades across geographical gradients.
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Aitken SN, Yeaman S, Holliday JA, Wang T, Curtis-McLane S (2008) Adaptation, migration or extirpation: climate change outcomes for tree populations. Evol Appl 1:95–111
Alpert P, Krichak S, Shafir H, Haim D, Osentinsky I (2008) Climatic trends to extremes employing regional modelling and statistical interpretation over the E. Mediterranean Glob Planet Change 63:163–170
Bellehumeur C, Legendre P (1998) Multiscale sources of variation in ecological variables: modelling spatial dispersion, elaborating sampling designs. Landscape Ecol 13:15–25
Benito Garzón M, Sánchez de Dios R, Sainz Ollero H (2008) Effects of climate change on the distribution of Iberian tree species. Appl Veg Sci 11:169–178
Costa M, Morla C, Sainz H (eds) (1997) Los bosques ibéricos. Una interpretación geobotánica. Planeta, Barcelona
Cressie NAC (1993) Statistics for spatial data. Wiley, New York
Deutsch CV, Journel AG (1992) GSLIB geostatistical software library and user’s guide. Oxford University Press, London, p 340
Engler R, Randin CF, Thuiller W, Dullinger S, Zimmermann NE, Araújo MB, Pearman PB, Le Lay G, Piedallu C, Albert CH, Choler P, Coldea G, De Lamo X, Dirnböck T, Gégout JC, Gómez-García D, Grytnes JA, Heegaard E, Høistad F, Nogués-Bravo D, Normand S, Puşcaş M, Sebastià MT, Stanisci A, Theurillat JP, Trivedi MR, Vittoz P, Guisan A (2011) 21st century climate change threatens mountain flora unequally across Europe. Glob Change Biol 17:2330–2341
FAO (Food and Agriculture Organization of the United Nations) (2000) Global forest resources assessment. FAO Forestry Paper 140. Rome
Gellrich M, Zimmermann NE (2007) Investigating the regional-scale pattern of agricultural land abandonment in the Swiss mountains: a spatial statistical modelling approach. Landscape Urban Plan 79:65–76
Gimmi U, Wohlgemuth T, Rigling A, Hoffmann CW, Bürgi M (2010) Land-use and climate change effects in forest compositional trajectories in a dry Central-Alpine valley. Ann For Sci 67:701
Goovaerts P (1994) Comparison of CoIK, IK and mIK performances for modeling conditional probabilities of categorical variables. In: Dimitrakopoulos R (ed) Geostatistics for the next century. Kluwer, Dordrecht, pp 18–29
Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186
Isaaks EH, Srivastava RM (1989) Applied geostatistics. Oxford University Press, New York
Jump AS, Mátyás CA, Peñuelas J (2009) The altitude-for-latitude disparity in the range retractions of woody species. Tree 24:694–701
Katz RW (1992) Role of statistics in the validation of general circulation models. Clim Res 2:35–45
Kräuchi N, Kienast F (1993) Modelling subalpine forest dynamics as influenced by a changing environment. Water Air Soil Pollut 68:185–197
Lenoir J, Gégout JC, Marquet PA, de Ruffray P, Brisse H (2008) A significant upward shift in plant species optimum elevation during the 20th century. Science 320:1768–1771
Loiselle BA, Howell CA, Graham CH, Goerck JM, Brooks T, Smith KG, And Williams PH (2003) Avoiding pitfalls of using species distribution models in conservation planning. Cons Biol 17:1591–1600
Mandallaz D (2000) Estimation of the spatial covariance in universal kriging: application to forest inventory. Environ Ecol Stat 7:263–284
Matheron G (1969) Le krigeage Universel. Cahiers du Centre de Morphologie Mathematique, 1. Fontainebleau, France
Miller J, Franklin J, Aspinall R (2007) Incorporating spatial dependence in predictive vegetation models. Ecol Model 202:225–242
Miller J, Hanham RQ (2011) Spatial nonstationarity and the scale of species-environment relationships in the Mojave Desert, California, USA. Int J Geogr Inf Sci 25:423–438
Montes F, Hernández MJ, Cañellas I (2005) A geostatistical approach to cork production sampling estimation in Quercus suber L. forests. Can J For Res 35:2787–2796
Montes F, Ledo A (2010) Incorporating environmental and geographical information in forest data analysis: a new fitting approach for universal kriging. Can J For Res 40:1852–1861
Ninyerola M, Pons X, Roure JM (2005) Atlas Climático Digital de la Península Ibérica.
Osborne PE, Foody GM, Suárez-Seoane S (2007) Non-stationarity and local approaches to modeling the distributions of wildlife. Divers Distrib 13:313–323
Peñuelas J, Boada M (2003) A global change-induced biome shift in the Montseny mountains (NE Spain). Glob Change Biol 9:131–140
Poljanec A, Ficko A, Boncina A (2010) Spatio-temporal dynamic of European beech (Fagus sylvatica L.) in Slovenia, 1970–2005. For Ecol Manage 259:2183–2190
Rodríguez AE, Obeso JR (2000) Diet of the Cantabrian capercaillie: geographic variation and energetic content. Ardeola 47:77–83
Segurado P, Araújo MB (2004) An evaluation of methods for modelling species distributions. J Biogeog 31:1555–1568
Thuiller W, Vayreda J, Pino J, Sabate S, Lavorel S, Gracia C (2003) Large-scale environmental correlates of forest tree distribution in Catalonia (NE Spain). Global Ecol Biogeogr 12:313–325
Tolosana-Delgado R, Pawlowsky-Glahn V, Egozcue JJ (2008) Indicator kriging without order relation violations. Math Geosci 40:327–347
Vilá-Cabrera A, Martínez-Vilalta J, Vayreda J, Retana J (2011) Structural and climatic determinants of demographic rates of Scots pine forests across the Iberian Peninsula. Ecol Appl 21:1162–1172
Williams MS (2001) New approach to areal sampling in ecological surveys. For Ecol Manage 154:11–22
Yoo EH, Trgovac AB (2011) Scale effects in uncertainty modeling of presettlement vegetation distribution. Int J Geogr Inf Sci 25:405–421
The authors wish to thank all the staff that makes possible the development of the NFI but especially Roberto Vallejo, Head of the Spanish National Forest Inventory, and Dr. Aitor Gastón (E.T.I Forestales), for kindly providing access to the full Spanish NFI data sets. The authors thank Adam Collins for the careful English language revision.
This research was supported by the AEG-09-007 agreement from the Spanish Ministry of Agriculture, Food and Environment (MAGRAMA) and the AGL2010-21153.00.01 project funded by the Spanish Ministry of Science and Innovation (MICINN). F. Montes held a Ramon y Cajal research grant, financed by the MICINN.
Contribution of the co-authors
Isabel Cañellas coordinated the associate research projects. Iciar Alberdi provided access to all NFI databases. Fernando Montes and Laura Hernández conceived, designed and run the data analysis. Fernando Montes also supervised the work. Laura Hernández conducted manuscript writing. Fernando Montes, Isabel Cañellas, Iciar Alberdi and Iván Torres conducted manuscript reviewing.
Handling Editor: Erwin Dreyer
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Hernández, L., Cañellas, I., Alberdi, I. et al. Assessing changes in species distribution from sequential large-scale forest inventories. Annals of Forest Science 71, 161–171 (2014). https://doi.org/10.1007/s13595-013-0308-6
- National Forest Inventory
- Universal kriging
- Pinus sylvestris
- Fagus sylvatica