Predicting potential distribution of Quercus suber in Italy based on ecological niche models: Conservation insights and reforestation involvements

Forest Ecology and Management

Volumn 304, Issue , 2013, Pages 150-161

  Vessella, Federico ^a   Schirone, Bartolomeo ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

Author keywords

Conservation and reforestation areas; Distribution patterns; GARP; MaxEnt; Quercus suber

Indexed keywords

COMPREHENSIVE ASSESSMENT; DISTRIBUTION PATTERNS; ECOLOGICAL NICHE MODELLING; GARP; MAXENT; PROBABILITY OF OCCURRENCE; QUERCUS; RECEIVER OPERATING CHARACTERISTICS;

ECOLOGY; REFORESTATION;

POPULATION DISTRIBUTION;

ASSESSMENT METHOD; CONIFEROUS FOREST; CONSERVATION MANAGEMENT; DROUGHT STRESS; ECOLOGICAL MODELING; EVERGREEN TREE; NICHE; PREDICTION; REFORESTATION; RESTORATION ECOLOGY;

ITALY;

QUERCUS SUBER;

EID: 84878471820     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2013.05.006     Document Type: Article

References (99)

1. Acherar M., Rambal S., Lepart J. Influence of soil drying on leaf water potential and stomatal conductance in 4 mediterranean oak species. Ann. Sci. Forest 1991, 48:561-573.
2. Adamovic, L., 1906. Die Pflanzgeographische stellung und gliederung der Balkanhalbinsel. In. Denkschriften d. k. Akad. der Wissen. Math.-Naturw. Klasse, Wien, pp. 405-495.
3. Allouche O., Tsoar A., Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 2006, 43:1223-1232.
4. Anderson R.P., Gomez-Laverde M., Peterson A.T. Geographical distributions of spiny pocket mice in South America: insights from predictive models. Global Ecol. Biogeogr. 2002, 11:131-141.
5. Anderson R.P., Lew D., Peterson A.T. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecol. Model. 2003, 162:211-232.
6. Araujo M.B., Williams P.H. Selecting areas for species persistence using occurrence data. Biol. Conserv. 2000, 96:331-345.
7. Aronson J., Pereira J.S., Pausas J.G. Cork Oak Woodlands on the Edge: Ecology, Adaptive Management, and Restoration 2009, Island Press.
8. Babar S., Amarnath G., Reddy C.S., Jentsch A., Sudhakar S. Species distribution models: ecological explanation and prediction of an endemic and endangered plant species (Pterocarpus santalinus L.f.). Curr. Sci. India 2012, 102:1157-1165.
9. Benito B.M., Martinez-Ortega M.M., Munoz L.M., Lorite J., Penas J. Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses. Biodivers. Conserv. 2009, 18:2509-2520.
10. Bernetti G. Selvicoltura Speciale 1995, UTET, Torino.
11. Blasi C. Fitoclimatologia del Lazio. Fitosociologia 1994, 27:151-175.
12. Bodbyl-Roels S., Peterson A.T., Xiao X.M. Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry. Int. J. Health Geogr. 2011, 10.
13. Bugalho M.N., Caldeira M.C., Pereira J.S., Aronson J., Pausas J.G. Mediterranean cork oak savannas require human use to sustain biodiversity and ecosystem services. Front. Ecol. Environ. 2011, 9:278-286.
14. Carani D. Inchiesta sulla distribuzione del genere Quercus in Puglia. Nuovo Giornale botanico italiano 1950, 57:335-350.
15. Channell R., Lomolino M.V. Dynamic biogeography and conservation of endangered species. Nature 2000, 403:84-86.
16. Chaves M.M., Pereira J.S., Maroco J., Rodrigues M.L., Ricardo C.P.P., Osório M.L., Carvalho I., Faria T., Pinheiro C. How plants cope with water stress in the field. Photosynthesis and growth. Ann. Bot-London 2002, 89:907-916.
17. Chen Y.H. Global potential distribution of an invasive species, the yellow crazy ant (Anoplolepis gracilipes) under climate change. Integr. Zool. 2008, 3:166-175.
18. Chen Y.H. Using ecological niche modelling to predict geographical expansion of an invasive species Bursaphelenchus xylophilus in Asia. Russ. J. Nematol. 2009, 17:1-9.
19. Cohen J. A coefficient of agreement for nominal scales. Educ. Psychol. Measur. 1960, 20:37-46.
20. Costa A., Pereira H., Madeira M. Landscape dynamics in endangered cork oak woodlands in Southwestern Portugal (1958-2005). Agroforest. Syst. 2009, 1-14.
21. Costa A., Pereira H., Madeira M. Analysis of spatial patterns of oak decline in cork oak woodlands in Mediterranean conditions. Ann. Forest Sci. 2010, 67.
22. Daget P.H. Le bioclimat Mediterraneen: caractères généraux, modes de caractérisation. Vegetatio 1977, 34:1-20.
23. David T.S., Henriques M.O., Kurz-Besson C., Nunes J., Valente F., Vaz M., Pereira J.S., Siegwolf R., Chaves M.M., Gazarini L.C., David J.S. Water-use strategies in two co-occurring Mediterranean evergreen oaks: surviving the summer drought. Tree Physiol. 2007, 27:793-803.
24. Elith J. Quantitative methods for modeling species habitat: comparative performance and an application to australian plants. Quant. Method. Biol. 2000, 39-58.
25. Elith J., Graham C.H., Anderson R.P., Dudik M., Ferrier S., Guisan A., Hijmans R.J., Huettmann F., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Loiselle B.A., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M., Peterson A.T., Phillips S.J., Richardson K., Scachetti-Pereira R., Schapire R.E., Soberon J., Williams S., Wisz M.S., Zimmermann N.E. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
26. Elith J., Phillips S.J., Hastie T., Dudik M., Chee Y.E., Yates C.J. A statistical explanation of MaxEnt for ecologists. Divers. Distrib. 2011, 17:43-57.
27. Emberger L. La végétation de la Région Méditerranéenne essai d'une classification des gronpenments végétaux. Revue Génerale de Botanique 1930, 42.
28. Escalante T., Sanchez-Cordero V., Morrone J.J., Linaje M. Areas of endemism of Mexican terrestrial mammals: A case study using species' ecological niche modeling, Parsimony Analysis of Endemicity and Goloboff fit. Interciencia 2007, 32:151-159.
29. Escalante T., Linaje M., Illoldi-Rangel P., Rivas M., Estrada P., Neira F., Morrone J.J. Ecological niche models and patterns of richness and endemism of the southern Andean genus Eurymetopum (Coleoptera, Cleridae). Rev. Bras. Entomol. 2009, 53:379-385.
30. Fielding A.H., Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 1997, 24:38-49.
31. Franklin J. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 1995, 19:474-499.
32. Gao M.X., Li X.W., Cao C.X., Zhang H., Li Q., Zhou H., He Q.S., Xu M., Zhao J.A., Zheng S., Chen W. Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in China based on HJ-1 satellite data. Sci. China Earth Sci. 2010, 53:8-15.
33. Giammarco E. TAM: Toponomastica abruzzese e molisana 1990, Edizioni dell'Ateneo, Roma.
34. Giannini T.C., Saraiva A.M., Alves-dos-Santos I. Ecological niche modeling and geographical distribution of pollinator and plants: a case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae). Ecol. Inform. 2010, 5:59-66.
35. Gil L., Varela M.C. EUFORGEN Technical Guidelines for Genetic Conservation and use for Cork Oak (Quercus suber) 2008, Bioversity International, Rome, p. 6.
36. Gouveia A.C., Freitas H. Modulation of leaf attributes and water use efficiency in Quercus suber along a rainfall gradient. Trees - Struct. Funct. 2009, 23:267-275.
37. Guisan A., Theurillat J.-P., Kienast F. Predicting the potential distribution of plant species in an alpine environment. J. Veg. Sci. 1998, 9:65-74.
38. Herborg L.M., O'Hara P., Therriault T.W. Forecasting the potential distribution of the invasive tunicate Didemnum vexillum. J. Appl. Ecol. 2009, 46:64-72.
39. Hernandez P.A., Graham C.H., Master L.L., Albert D.L. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
40. Hidalgo P.J., Marín J.M., Quijada J., Moreira J.M. A spatial distribution model of cork oak (Quercus suber) in southwestern Spain: a suitable tool for reforestation. Forest Ecol. Manage. 2008, 255:25-34.
41. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 2005, 25:1965-1978.
42. Holland J.H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence 1975, University of Michigan Press, Ann Arbor.
43. Hutchinson G.E. Concluding remarks. Cold Spring Harb. Sym. 1957, 22:415-427.
44. Irfan-Ullah M., Amarnath G., Murthy M.S.R., Peterson A.T. Mapping the geographic distribution of Aglaia bourdillonii Gamble (Meliaceae), an endemic and threatened plant, using ecological niche modeling. Biodivers. Conserv. 2007, 16:1917-1925.
45. Jalas, J., Suominen, J., 1972-1996. Atlas Florae Europaeae. Committee for Mapping the Flora of Europe and Societas Biologica Fennica Vanamo, Helsinki.
46. Joyner T.A., Lukhnova L., Pazilov Y., Temiralyeva G., Hugh-Jones M.E., Aikimbayev A., Blackburn J.K. Modeling the potential distribution of bacillus anthracis under multiple climate change scenarios for kazakhstan. Plos One 2010, 5.
47. Jump A.S., Matyas C., Penuelas J. The altitude-for-latitude disparity in the range retractions of woody species. Trends Ecol. Evol. 2009, 24:694-701.
48. Khatchikian C., Sangermano F., Kendell D., Livdahl T. Evaluation of species distribution model algorithms for fine-scale container-breeding mosquito risk prediction. Med. Vet. Entomol. 2011, 25:268-275.
49. Ko C.Y., Lin R.S., Ding T.S., Hsieh C.H., Lee P.F. Identifying biodiversity hotspots by predictive models: a case study using taiwan's endemic bird species. Zool. Stud. 2009, 48:418-431.
50. Lepetz V., Massot M., Schmeller D.S., Clobert J. Biodiversity monitoring: some proposals to adequately study species' responses to climate change. Biodivers. Conserv. 2009, 18:3185-3203.
51. Li G.Q., Liu C.C., Liu Y.G., Yang J., Zhang X.S., Guo K. Effects of climate, disturbance and soil factors on the potential distribution of Liaotung oak (Quercus wutaishanica Mayr) in China. Ecol. Res. 2012, 27:427-436.
52. Lobo J.M., Jiménez-Valverde A., Real R. AUC: a misleading measure of the performance of predictive distribution models. Global Ecol. Biogeogr. 2008, 17:145-151.
53. Lucarelli, L., 2005. Carta scritta e storia canta. Fonti archivistiche di Casalbordino nel Settecento. Cannarsa Editore, Vasto, Abruzzi.
54. Maltez-Mouro S., García L.V., Freitas H. Influence of forest structure and environmental variables on recruit survival and performance of two Mediterranean tree species (Quercus faginea L. and Q. suber Lam.). Eur. J. Forest Res. 2009, 128:27-36.
55. Marinosci, M., 1870. Flora salentina. Tip. editrice Salentina.
56. McPherson J.M., Jetz W., Rogers D.J. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?. J. Appl. Ecol. 2004, 41:811-823.
57. Mediavilla S., Escudero A. Stomatal responses to drought of mature trees and seedlings of two co-occurring Mediterranean oaks. Forest Ecol. Manage. 2004, 187:281-294.
58. Mercado F.G., Luque E.G., Delgado Fernández I.C., De Lozano S.H., Torres F.D.M. Estimation of the range of tolerance to environmental factors of various Mediterranean species of forest and ecological interest. Lazaroa 2009, 30:145-159.
59. Mesli K., Bouazza M., Godron M., Véla E. Ecological diagnostic of some reforestations in the Tlemcen National Park. Diagnostic écologique de reboisements dans le parc national de Tlemcen 2009, 156:283-294.
60. Mitrakos K. A theory for mediterranean plant Life. Acta Oecol. 1980, 1:245-252.
61. Monaci, L., 1994. Al limite estremo dell'areale della sughera: i popolamenti relitti della Puglia meridionale. In, Faculty of Agriculture. University of Tuscia, VIterbo.
62. Monserud R.A., Leemans R. Comparing global vegetation maps with the Kappa statistic. Ecol. Model 1992, 62:275-293.
63. Montaldo N., Albertson J.D., Mancini M. Vegetation dynamics and soil water balance in a water-limited Mediterranean ecosystem on Sardinia. Italy. Hydrol. Earth Syst. Sci. 2008, 12:1257-1271.
64. Montoya O.J.M. Los alcornocales 1988, Ministerio de Agricultura, Pesca y Alimentación, Madrid.
65. Musci G. La bonifica integrale in Puglia nel primo decennio della rivoluzione fascista. Japigia - Rivista Pugliese di Archeologia. Storia e Arte 1932, 3:494-510.
66. Nadezhdina N., Ferreira M.I., Silva R., Pacheco C.A. Seasonal variation of water uptake of a Quercus suber tree in Central Portugal. Plant Soil 2008, 305:105-119.
67. Navarro-Cerrillo R.M., Hernandez-Bermejo J.E., Hernandez-Clemente R. Evaluating models to assess the distribution of Buxus balearica in southern Spain. Appl. Veg. Sci. 2011, 14:256-267.
68. Parmesan C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Sys. 2006, 37:637-669.
69. Parmesan C. Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Global Change Biol. 2007, 13:1860-1872.
70. Pereira H. Cork: Biology, Production and Uses 2007, Elsevier, The Netherlands.
71. Peterson A.T. Uses and requirements of ecological niche models and related distributional models. Biodivers. Inform. 2006, 3:59-72.
72. Peterson A.T., Papes M., Eaton M. Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 2007, 30:550-560.
73. Peterson A.T., Papeş M., Soberón J. Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol. Model. 2008, 213:63-72.
74. Petit R.J., Hampe A., Cheddadi R. Climate changes and tree phylogeography in the Mediterranean. Taxon 2005, 54:877-885.
75. Petroselli A., Vessella F., Cavagnuolo L., Piovesan G., Schirone B. Ecological behavior of Quercus suber and Quercus ilex inferred by topographic wetness index (TWI). Trees - Struct. Funct. 2013, 10.1007/s00468-013-0869-x.
76. Phillips S.J., Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 2008, 31:161-175.
77. Phillips, S.J., Dudik, M., Schapire, R.E., 2004. A maximum entropy approach to species distribution modeling. In: Proceedings of the Twenty-First International Conference on Machine Learning, pp. 655-662.
78. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 2006, 190:231-259.
79. Qi P.C., Zhao C.Y., Feng Z.D. GIS- and machine learning-based modeling of the potential distribution of broadleaved deciduous forest in the Chinese Loess Plateau. Gisci. Remote Sens. 2010, 47:99-114.
80. Ramírez-Valiente J.A., Sánchez-Gómez D., Aranda I., Valladares F. Phenotypic plasticity and local adaptation in leaf ecophysiological traits of 13 contrasting cork oak populations under different water availabilities. Tree Physiol. 2010, 30:618-627.
81. Rikli M. Das Pflanzenkleid der Mittelmeerländer 1943, H. Huber.
82. Rivas-Martínez S., Penas A., Díaz T.E. Bioblimatic Map of Europe 2004, Cartographic Service, University of Léon, Spain.
83. Rojas-Soto O.R., Sosa V., Ornelas J.F. Forecasting cloud forest in eastern and southern Mexico: conservation insights under future climate change scenarios. Biodivers. Conserv. 2012, 21:2671-2690.
84. Scarnati L., Attorre F., Farcomeni A., Francesconi F., De Sanctis M. Modelling the spatial distribution of tree species with fragmented populations from abundance data. Commun. Ecol. 2009, 10:215-224.
85. Sedda L., Delogu G., Dettori S. Forty-four years of land use changes in a Sardinian cork oak agro-silvopastoral system: a qualitative analysis. Open Forest Sci. J. 2011, 4:57-66.
86. Segurado P., Araujo M.B. An evaluation of methods for modelling species distributions. J. Biogeogr. 2004, 31:1555-1568.
87. Simeone M.C., Papini A., Vessella F., Bellarosa R., Spada F., Schirone B. Multiple genome relationships and a complex biogeographic history in the eastern range of Quercus suber L. (Fagaceae) implied by nuclear and chloroplast DNA variation. Caryologia 2009, 62:236-252.
88. Stockwell D., Peters D. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Inf. Sci. 1999, 13:143-158.
89. Stockwell D.R.B., Peterson A.T. Effects of sample size on accuracy of species distribution models. Ecol. Model. 2002, 148:1-13.
90. Swets J.A. Measuring the accuracy of diagnostic systems. Science 1988, 240:1285-1293.
91. Tarkesh M., Jetschke G. Comparison of six correlative models in predictive vegetation mapping on a local scale. Environ. Ecol. Stat. 2012, 19:437-457.
92. Tenore, M., 1831. Sylloge plantarum vascularum Florae Neapolitanae. In. Ex. Tip. Fibreni, Neapoli.
93. Terribile L.C., Diniz J.A.F., De Marco P. How many studies are necessary to compare niche-based models for geographic distributions? Inductive reasoning may fail at the end. Braz. J. Biol. 2010, 70:263-269.
94. Thuiller W., Araújo M.B., Lavorel S. Generalized models vs. classification tree analysis: Predicting spatial distributions of plant species at different scales. J. Veg. Sci. 2003, 14:669-680.
95. Torres N.M., De Marco P., Santos T., Silveira L., Jacomo A.T.D., Diniz J.A.F. Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics. Divers. Distrib. 2012, 18:615-627.
96. Vessella F., Parlante A., Schirone A., Sandoletti G., Bellarosa R., Piovesan G., Santi L., Schirone B. Irrigation regime as a key factor to improve growth performance of Quercus suber L. Scand. J. Forest Res. 2010, 25(SUPPL 8):68-74.
97. Vogiatzakis, I.N., Careddu, M.B., 2003. Mapping the distribution and extent of Quercus suber habitats in Sardinia: a literature review and a proposed methodology. University of Reading, Reading.
98. WWF, 2006. Cork screwed? Environmental and economic impacts of the cork stoppers market. In. WWF Mediterranean Programme Office Rome, p. 34.
99. Zhu G.P., Bu W.J., Gao Y.B., Liu G.Q. Potential geographic distribution of brown marmorated stink bug invasion (Halyomorpha halys). Plos One 2012, 7.