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iForest - Biogeosciences and Forestry

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Soil and forest productivity: a case study from Stone pine (Pinus pinea L.) stands in Calabria (southern Italy)

F Bravo (1)   , M Lucà (2), R Mercurio (2), M Sidari (2), A Muscolo (2)

iForest - Biogeosciences and Forestry, Volume 4, Issue 1, Pages 25-30 (2011)
doi: https://doi.org/10.3832/ifor0559-004
Published: Jan 27, 2011 - Copyright © 2011 SISEF

Research Articles


The objective of this study was to determine whether edaphic and/or topographic variables may be used as predictors of site productivity in Stone pine stands in Calabria (southern Italy). To accomplish this goal, a linear discriminant rule was developed using data from 16 pure Stone pine stands, grouped into three different classes based on the mean dominant height annual growth. The discriminant rule was based on three linear models (one for each class) that jointly predicts site class for a given stand. To test the accuracy of the proposed method, cross-validation was carried out by developing 16 alternative discriminant rules (excluding the analyzed data). Predictors tested were edaphic (texture, pH, organic matter) and topographic (altitude and slope) variables. The model obtained allow to discriminate poorest sites accurately (100% of sites were correctly re-classified using the discriminant functions obtained). In more productive areas, sites were correctly re-classified in the 33.33% of cases, while in intermediate sites the correct classification was equal to 50%. Our discriminant rule classifies correctly the poorest stands, suggesting that site index in plain site soils strongly depends on clay percentage. Overall, the edaphic model obtained classifies plots into the correct site index class 61.11% of cases, which is considered an acceptable value for these kinds of studies.

  Keywords


Clay, Pinus pinea, Site index, Site productivity, Topographic factor

Authors’ address

(1)
F Bravo
Sustainable Forest Management Research Institute, University of Valladolid-INIA, avda. de Madrid 57, E-34004 Palencia (Spain)
(2)
M Lucà
R Mercurio
M Sidari
A Muscolo
Department of Agricultural and Forest Systems Management, Faculty of Agriculture, University “Mediterranea” (Italy)

Corresponding author

 

Citation

Bravo F, Lucà M, Mercurio R, Sidari M, Muscolo A (2011). Soil and forest productivity: a case study from Stone pine (Pinus pinea L.) stands in Calabria (southern Italy). iForest 4: 25-30. - doi: 10.3832/ifor0559-004

Paper history

Received: May 03, 2010
Accepted: Dec 17, 2010

First online: Jan 27, 2011
Publication Date: Jan 27, 2011
Publication Time: 1.37 months

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

 
(1)
Baker JB, Broadfoot WM (1979)
A practical field method of site evaluation for commercially important southern hardwoods. Gen. Tech. Rep. SO-26, USDA Forest Service, Southern Forest Experiment Station, New Orleans, LA, USA, pp. 51.
Gscholar
(2)
Baroni A (1973)
Ricerche alsometriche sulle pinete di pino domestico dei tomboli di Cecina. L’Italia Forestale e Montana 28 (5): 191-197.
Gscholar
(3)
Boisseau B (1994)
Écologie du pin pignon. Cemagref, Études Gestion des territoires. Annales Forêt 93: 173-188.
CrossRef | Gscholar
(4)
Bouyoucos GJ (1962)
Hydrometer method improved for making particle-size analyses of soils. Agronony Journal 54: 464-465.
CrossRef | Gscholar
(5)
Bravo F, Montero G (2001)
Site index estimation in Scots pine (Pinus sylvestris L.) stands in the High Ebro Basin (northern Spain) using soil attributes. Forestry 74 (4): 395-406.
CrossRef | Gscholar
(6)
Bravo-Oviedo A, Montero G (2005)
Site index in relation to edaphic variables in stone pine (Pinus pinea L.) stands in south west Spain. Annals of Forest Sciences 62: 61-72.
CrossRef | Gscholar
(7)
Bray RH, Kurtz T (1945)
Determination of total, organic and available forms of phosphorous in soils. Soil Science 59: 39-45.
CrossRef | Gscholar
(8)
Burger JA (1994)
Cumulative effects of silvicultural technology on sustained forest productivity. In: “Assessing the effects of silvicultural practices on sustained productivity” (Mahendrappa MK, Simpson CM, Smith CT eds). Proceeding of the IEA/BA workshop ’93, Frederickston (NB, Canada) 16-22 May 1993. Information rep. M-X-191. Nat. Res. Can., Can. For. Serv., Maritimes Region, Frederickston, NB, Canada, pp. 59-70.
Gscholar
(9)
Calama R, Madrigal G, Candela JA, Montero G (2007)
Effects of fertilization on the production of an edible forest fruit: stone pine (Pinus pinea L.) nuts in south-west Andalusia. Investigación Agraria: Sistemas y Recursos Forestales 16 (3):241-252.
CrossRef | Gscholar
(10)
Calliari P, Meschini A, Quattrocchi G (1960)
Piano di assestamento dei boschi della Tenuta di San Rossore per il decennio 1960-1969. Segretariato Generale della Presidenza della Repubblica, Roma.
Gscholar
(11)
Cascio A (1969)
Tavola alsometrica del pino domestico di Bosco Bellia cresciuto in fustaia coetanea. L’Italia forestale e montana 24 (1): 67-73.
Gscholar
(12)
Castellani C (1989)
La produzione legnosa e del frutto e la durata del turno economico delle pinete coetanee di pino domestico (Pinus pinea L.) in un complesso assestato a prevalente funzione produttiva in Italia. Annali ISAFA, vol. XII, pp.161-221.
Gscholar
(13)
D’Autilia M, Sommazzi S, Arrigoni, PV (1967)
Rimboschimenti e loro risultati in Sardegna. In: Atti del Convegno “Prospettive economico-indutriali della produzione legnosa in Sardegna”, Cagliari, Italy, pp. 79-109.
Gscholar
(14)
Del Favero R, De Mas G, Ferrari C, Gerdol R, Lasen C, Masutti L, De Battisti R, Paiero P, Colpi C, Urso T, Zanotto S (1989)
Le pinete litorali del Veneto. Regione Veneto. Tip. Multigraf, Spinea, Venezia, Italy.
Gscholar
(15)
Global Invasive Species Database (2005)
Pinus pinea.
Gscholar
(16)
Harding RB, Grigal DF, White, EH (1985)
Site quality evaluation for White Spruce plantations using discriminant analysis. Soil Science Society of America Journal 49:229-232.
CrossRef | Gscholar
(17)
Holmgren P (1994)
Topographic and geochemical influence on the forest site quality, with respect to Pinus sylvestris and Picea abies in Sweden. Scand. J. For. Res. 9: 75-82.
CrossRef | Gscholar
(18)
Jackson ML (1958)
Soil chemical analysis. Prentice-Hall Inc., Englewood Cliffs, NY, USA.
Gscholar
(19)
Johnson DE (1998)
Applied multivariate methods for data analyst. Duxbury Press, Pacific Grove, CA, USA, pp. 567.
Gscholar
(20)
Jokela EJ, White EH, Berglund JV (1988)
Predicting Norway spruce growth from soil and topographic properties in New York. Soil Science Society of America Journal 52 (3):809-815.
CrossRef | Gscholar
(21)
Kjeldalh J (1883)
Neue methode zurestimmung des stickstoffs in organischen körpen. Zeitschrift fiir Analytische Chemie 22: 366-382.
Gscholar
(22)
La Marca O (1984)
La pineta della Duna Feniglia. Ricerche sperimentali di dendrometria e di auxometria. Fasc.VIII, Istituto di Assestamento Forestale, Università di Firenze, Tip. Coppini, Firenze, Italy.
Gscholar
(23)
Mehlich A (1953)
Rapid determination of cation and anion exchange properties and pH of soils. Journal of Association Agriculture Chemistry 36: 445-457.
Gscholar
(24)
McQuilkin RA (1976)
The necessity of independent testing of soil-site equations. Soil Science Society of America Journal 40:783-785.
CrossRef | Gscholar
(25)
Monserud RA, Moody U, Breuer DW (1990)
A soil-site study for inland Douglas-fir. Canadian Journal of Forest Research 20: 686-695.
CrossRef | Gscholar
(26)
Morris LA, Miller RE (1994)
Evidence for long-term productivity change as provided by field trials. In: “Impacts of forest harvesting on long-term site productivity” (Dyck WJ, Cole DW eds). Chapman & Hall, New York, USA, pp. 41-80.
Gscholar
(27)
Pacheco C (1991)
Evaluating site quality of even-aged maritime pine stands in northern Portugal using direct and indirect methods. Forest Ecology and Management 41:193-204.
CrossRef | Gscholar
(28)
Prada MA, Gordo J, Miguel J, Mutke S, Catalán-Bachiller G, Iglesias S, Gil L (1997)
Regiones de procedencia de Pinus pinea L. en España. Organismo Autónomo Parques Nacionales, Madrid.
Gscholar
(29)
Pretzsch H (2009)
Forest dynamics, growth and yield. Springer, Berlin, Germany, pp. 664.
Gscholar
(30)
Proe MF, Rauscher HM, Yarie J (1994)
Computer simulation models and expert systems for predicting productivity decline. In: “Impacts of forest harvesting on long-term site productivity” (Dyck WJ, Cole DW eds). Chapman & Hall, New York, USA, pp. 151-186.
Gscholar
(31)
Sanchez-Rodriguez F, Rodríguez-Soalleiro R, Español E, López CA, Merino A (2002)
Influence of edaphic factors and tree nutritive status on the productivity of Pinus radiata D. Don plantations in northwestern Spain. Forest Ecology and Management 171:181-189.
CrossRef | Gscholar
(32)
Sariyildiz T, Anderson JM, Kucuk M (2005)
Effects of tree species and topography on soil chemistry, litter quality, and decomposition in Northeast Turkey. Soil Biology Biochemistry 37: 1695-1706.
CrossRef | Gscholar
(33)
Steinbrenner EC (1976)
Factors that influence the productivity of western hemlock. Proceeding of XVI IUFRO World Congress, vol. 1, pp. 167-185.
Gscholar
(34)
Swearingen J (2008)
Weed US: database of plants invading natural areas in the United States. Web site.
Gscholar
(35)
Switzer GL (1978)
Determinants of forest stand productivity. In: Proceeding of Symposium on “Principles of maintaining productivity on prepared sites” (Tippen T ed). USDA Forest Service, Southern Region, Asheville, NC, USA, pp. 14-27.
Gscholar
(36)
Tsui CC, Chen ZS, Hsieh CF (2004)
Relationships between soil properties and slope position in a lowland rain forest of southern Taiwan. Geoderma 123: 131-142.
CrossRef | Gscholar
(37)
Turner J, Thompson CH, Turvey ND, Hopmans P, Ryan PJ (1990)
A soil technical classification system for Pinus radiata (D. Don) plantations I. Development. Australian Journal of Soil Research 28: 797-811.
CrossRef | Gscholar
(38)
Verbyla DL (1986)
Potential prediction bias in regression and discriminant analysis. Canadian Journal of Forest Research 16:1255-1257.
CrossRef | Gscholar
(39)
Verbyla DL, Fisher RF (1989)
An alternative approach to conventional soil-site regression modeling. Canadian Journal of Forest Research 19:179-184.
CrossRef | Gscholar
(40)
Yimer F, Sting L, Adelkadir A (2006)
Soil property variations in relation to topographic aspect and vegetation community in the south-eastern highlands of Ethiopia. Forest Ecology and Management 232: 90-99.
CrossRef | Gscholar
(41)
Walkley A, Black IA (1934)
An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science 37: 29-38.
CrossRef | Gscholar
(42)
Wang GG (1995)
White spruce site index relation to soil, understory vegetation, and foliar nutrients. Canadian Journal of Forest Research Res. 25: 29-38.
CrossRef | Gscholar
 

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