*
 

iForest - Biogeosciences and Forestry

*

Predicting the effect of climate change on tree species abundance and distribution at a regional scale

F Attorre (1)   , F Francesconi (1), L Scarnati (1), M De Sanctis (1), M Alfò (2), F Bruno (1)

iForest - Biogeosciences and Forestry, Volume 1, Issue 4, Pages 132-139 (2008)
doi: https://doi.org/10.3832/ifor0467-0010132
Published: Aug 27, 2008 - Copyright © 2008 SISEF

Research Articles


The elaboration of conservation strategies at regional scale, dealing with the potential effects of climate change on the abundance and distribution of tree species, should be supported by models produced at the appropriate scale. We used a bioclimatic model aimed at analysing the large-scale effects of climate change on the abundance and distribution of tree species with respect to their chorological and ecological characteristics. Abundance data for 16 species, sampled in 912 plots, distributed on a 3x3 km grid were used. A climatic model provided high resolution current climatic surfaces and a climatic scenario for 2080 was obtained using the A1FI emission scenario of HadCM3 GCM. A deterministic Regression Tree Analysis (RTA) and Multiple Linear Regression (MLR) were applied in order to define the realised niche of the species in relation to the chosen environmental variables. The comparison between RMSE values showed that RTA always outperforms MLR, in terms of predicting species distribution. Zonal species were better predicted than rare species (extrazonal or with specific habitat requirements). Climate change is expected to determine a general increase of the average potential altitude. Only the Mediterranean species are likely to be favoured by the predicted climate change, while for the two other chorological types (Sub-Mediterranean and Eurosiberian) the response seems to be species-specific, depending on the ecological characteristic of each species: the more thermophilous and xerophilous species should benefit from the predicted drought in terms of area and mean abundance, while mesophilous species should suffer a strong reduction.

  Keywords


Climate change, Tree species, Central Italy, Potential distribution maps, Regional scale, Regression tree analysis

Authors’ address

(1)
F Attorre
F Francesconi
L Scarnati
M De Sanctis
F Bruno
Department of Plant Biology, “La Sapienza” University of Rome, p.le A. Moro 5, I-00185 Rome (Italy)
(2)
M Alfò
Department of Statistics, “La Sapienza” University of Rome, p.le A. Moro 5, I-00185 Rome (Italy)

Corresponding author

Citation

Attorre F, Francesconi F, Scarnati L, De Sanctis M, Alfò M, Bruno F (2008). Predicting the effect of climate change on tree species abundance and distribution at a regional scale. iForest 1: 132-139. - doi: 10.3832/ifor0467-0010132

Academic Editor

Gabriele Bucci

Paper history

Received: Jul 18, 2007
Accepted: Aug 13, 2008

First online: Aug 27, 2008
Publication Date: Aug 27, 2008
Publication Time: 0.47 months

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 64038
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 55302
Abstract Page Views: 3718
PDF Downloads: 4076
Citation/Reference Downloads: 77
XML Downloads: 865

Web Metrics
Days since publication: 5930
Overall contacts: 64038
Avg. contacts per week: 75.59

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

Total number of cites (since 2008): 15
Average cites per year: 0.94

 

Publication Metrics

by Dimensions ©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Allavena S, Isopi R, Petriccione B, Pompei E (2000)
Programma Nazionale Integrato per il controllo degli ecosistemi forestali. Secondo rapporto 2000. Ministero per le politiche agricole (Roma).
Gscholar
(2)
Araújo MB, Cabeza M, Thuiller W, Hannah L, Williams PH (2004)
Would climate change drive species out of reserves? An assessment of existing reserve selection methods. Global Change Biology 10: 1618-1626.
CrossRef | Gscholar
(3)
Attorre F, Bruno F (2003)
Processi di riforestazione naturale della faggeta nella fascia altitudinale inferiore del verante laziale del Massiccio dei Monti Simbruini (Italia centrale). Fitosociologia 40: 55-71.
Gscholar
(4)
Attorre F, Alfò M, De Sanctis M, Francesconi F, Bruno F (2007)
Comparison of interpolation methods for mapping climatic and bioclimatic variables at regional scale. International Journal of Climatology 27 (13): 1825-1843.
CrossRef | Gscholar
(5)
Bakkenes M, Alkemade RM, Ihle, Leemans R, Latour JB (2002)
Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Global Change Biology 8: 390-407.
CrossRef | Gscholar
(6)
Berry PM, Dawson TE, Harrison PA, Pearson RG (2002)
Modelling potential impacts of climate change on the bioclimatic envelope of species in Britain and Ireland. Global Ecology and Biogeography 11: 453-462.
CrossRef | Gscholar
(7)
Breiman L, Friedman JH, Olshen RA, Stone CJ (1984)
Classification and Regression Trees. Chapman & Hall, New York, USA.
Gscholar
(8)
Ellenberg H, Weber HE, Düll R, Wirth V, Werner V (1992)
Zeigerwerte von Pflanzen in Mitteleuropa (2nd edn.). Scripta Geobotanica 18: 1-258.
Gscholar
(9)
FAO (2001)
Global forest resources assessment 2000. Main report. Food and Agriculture Organization of the United Nations, Rome.
Gscholar
(10)
Falcucci A, Maiorano L, Boitani L (2007)
Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology 22: 617-631.
CrossRef | Gscholar
(11)
Follieri M, Magri D, Narcisis B (1993)
Paleoenvironmetal investigations on long sediment cores from volcanic lakes of Lazio (central Italy) - An overview. In: “Paleoelimnology of European Maar Lakes” (Negendank JFW, Zolitschka B eds). Springer, Berlin, pp 95-107.
CrossRef | Gscholar
(12)
Guisan A, Zimmermann NE (2000)
Predictive habitat distribution models in ecology. Ecological Modelling 135:147-186.
CrossRef | Gscholar
(13)
Hampe A (2004)
Bioclimate envelope models: what they detect and what they hide. Global Ecology and Biogeography 13: 469- 471.
CrossRef | Gscholar
(14)
Hofierka J, Súri M (2002)
The solar radiation model for Open source GIS: implementation and applications. Open source GIS - GRASS users conference, Trento, Italy.
Online | Gscholar
(15)
Iverson LR, Prasad A (1998)
Predicting abundance for 80 tree species following climate change in the Eastern United States. Ecological Monographs 68: 465-485.
Online | Gscholar
(16)
Iverson LR, Prasad A (2002)
Potential redistribution of tree species habitat under five climate change scenarios in the eastern US. Forest Ecology and Management 155: 205-222.
CrossRef | Gscholar
(17)
Iverson LR, Prasad A, Schwartz MK (1999)
Modelling potential future individual tree-species distributions in the eastern United States under a climate change scenario: a case study with <i>Pinus virginiana</i>. Ecological Modelling 115: 77-93.
CrossRef | Gscholar
(18)
Jensen ME, Haise HR (1963)
Estimating evapotranspiration from solar radiation. Journal of the Irrigation and Drainage Division 89: 15-41.
Online | Gscholar
(19)
Magri D (1994)
Late-Quaternary changes of plant biomass as recorded by pollen-stratrigraphical data: a discussion of the problem at Valle Castiglione, Italy. Review of Paleobotany and Palynology 81: 311-323.
CrossRef | Gscholar
(20)
Magri D (1998)
Quaternary history of Fagus in the Italian peninsula. Annali di Botanica 56: 147-154.
Gscholar
(21)
Malcolm JR, Cancan L, Neilson RP, Hansen L, Hannah L (2006)
Global warming and extinctions of endemic species from biodiversity hotspots. Conservation Biology 20: 538-548.
CrossRef | Gscholar
(22)
Midgley GF, Hannah L, Millar D, Rutherford MC, Powrie LW (2002)
Assessing the vulnerability of species richness to anthropogenic climate change in a biodiversity hotspot. Global Ecology and Biogeography 11: 445-451.
CrossRef | Gscholar
(23)
Mitasova H, Mitas L (1993)
Interpolation by regularized spline with tension: theory and implementation. Mathematical Geology 25: 641-655.
CrossRef | Gscholar
(24)
Mitchell T, Carter TR, Jones P, Hulme M, New M (2004)
A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: observed record (1901-2000) and 16 scenarios (2001-2100). Tyndall Centre for Climate Change Research, Working Paper no. 55.
Gscholar
(25)
Nakicenovic N, Swart R (2000)
Emissions scenarios. Special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.
Online | Gscholar
(26)
Neter J, Wasserman W (1985)
Applied Linear Statistical Models, Irwin, Boston, MA, USA.
Gscholar
(27)
Ohlemüller R, Gritti ES, Sykes MT, Thomas CD (2006)
Quantifying components of risk for European woody species under climate change. Global Change Biology 12: 1788-1799.
CrossRef | Gscholar
(28)
Parmesan C, Yohe G (2003)
A globally coherent fingerprint of climate change impacts across natural systems. Nature 421: 37-42.
CrossRef | Gscholar
(29)
Pearson RG, Dawson TE (2003)
Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography 12: 361-371.
CrossRef | Gscholar
(30)
Pearson RG, Dawson TP, Berry PM, Harrison PA (2002)
SPECIES: a spatial evaluation of climate impact on the envelope of species. Ecological Modelling 154: 289-300.
CrossRef | Gscholar
(31)
Pignatti S (1982)
Flora d’Italia (vol. 1-3). Edagricole, Bologna, Italy.
Gscholar
(32)
Pignatti S (2005)
Bioindicator values of vascular plants of the Flora of Italy. Braun-Blanquetia 39: 3-95.
Gscholar
(33)
Quézel P (1993)
Definition of the Mediterranean region and origin of its flora. In: “Plant Conservation in the Mediterranean Area” (Gomez-Campo C ed). W. Junk, Dordrecht, NL, pp. 9-24.
Gscholar
(34)
Romane F, Terradas J (1992)
<i>Quercus ilex</i> ecosystems: function, dynamics and management. Kluwer Publ., Dordrecht, NL, pp. 380.
Gscholar
(35)
Root TL, Price JT, Hall KR, Schneider SH, Rosenzweig C, Pounds JA (2003)
Fingerprints of global warming on wild animals and plants. Nature 421: 57-60.
CrossRef | Gscholar
(36)
Scarascia-Mugnozza G, Oswaldb H, Piussi P, Radoglou K (2000)
Forests of the Mediterranean region: gaps in knowledge and research needs. Forest Ecology and Management 132: 97-109.
CrossRef | Gscholar
(37)
Segurado P, Araújo MB (2004)
An evaluation of methods for modelling species distributions. Journal of Biogeography 31: 1555-1568.
CrossRef | Gscholar
(38)
Skov F, Svenning JC (2004)
Potential impact of climatic change on the distribution of forest herbs in Europe. Ecography 27: 366-380.
CrossRef | Gscholar
(39)
Statistical Sciences (1993)
S-PLUS: Guide to statistical and mathematical analysis. Statistical Sciences, Seattle, WA, USA.
Online | Gscholar
(40)
Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, Erasmus BFN, Ferreira de Siqueira M, Grainger A, Hannah L, Hughes L, Huntley B, van Jaarsveld AS, Midgley GF, Miles L, Ortega-Huerta MA, Peterson AT, Phillips OL, Williams SE (2004)
Extinction risk from climate change. Nature 427: 145-148.
CrossRef | Gscholar
(41)
Thuiller W (2003)
BIOMOD - optimizing predictions of species distribution and projecting potential future shifts under global change. Global Change Biology 9: 1353-1362.
CrossRef | Gscholar
(42)
Thuiller W (2004)
Patterns and uncertainties of species’ range shifts under climate change. Global Change Biology 10: 2020-2027.
CrossRef | Gscholar
(43)
Thuiller W, Araùjo MB, Pearson RG, Whittaker RJ, Brotons L, Lavorel S (2004)
Uncertainty in predictions of extinction risk. Nature 430: 30.
CrossRef | Gscholar
(44)
Thuiller W, Lavorel S, Araùjo MB (2005)
Niche properties and geographic extent as predictors of species sensitivity to climate change. Global Ecology and Biogeography 14: 347-357.
CrossRef | Gscholar
(45)
Thuiller W, Midgely GF, Hughes GO, Bomhard B, Drew G, Rutherford MC, Woodward FI (2006)
Endemic species and ecosystem sensitivity to climate change in Namibia. Global Change Biology 12: 1-18.
CrossRef | Gscholar
(46)
Thuiller W, Vayreda J, Pino J, Sabate S, Lavorel S, Gracia C (2003)
Large-scale environmental correlates of forest tree distributions in Catalonia (NE Spain). Global Ecology and Biogeography 12: 313-325.
CrossRef | Gscholar
(47)
Vayssières MP, Plant RE, Allen-Diaz BH (2000)
Classification trees: an alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 11: 679-694.
CrossRef | Gscholar
 

This website uses cookies to ensure you get the best experience on our website. More info