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52 - Changes in soil physical properties after conversion of tropical montane cloud forest to pasture in northern Costa Rica

from Part V - Cloud forest water use, photosynthesis, and effects of forest conversion

Published online by Cambridge University Press:  03 May 2011

C. Tobón
Affiliation:
Universidad Nacional de Colombia, Colombia
L.A. Bruijnzeel
Affiliation:
VU University, Netherlands
K. F. A. Frumau
Affiliation:
VU University, Netherlands
J. C. Calvo-Alvarado
Affiliation:
Instituto Tecnológico de Costa Rica, Costa Rica
L. A. Bruijnzeel
Affiliation:
Vrije Universiteit, Amsterdam
F. N. Scatena
Affiliation:
University of Pennsylvania
L. S. Hamilton
Affiliation:
Cornell University, New York
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Summary

ABSTRACT

Within the framework of a larger project studying the hydrological impacts of converting tropical montane cloud forest to pasture in the Tilarán range of northern Costa Rica, physical and hydraulic properties of various volcanic soils were compared in two small watersheds covered with mature lower montane cloud forest and pasture, respectively. In situ and laboratory experiments were conducted to determine trends in soil texture, bulk density, porosity, water retention characteristics, infiltration, and (un)saturated hydraulic conductivities with depth under the two types of land cover. Despite their predominantly sandy texture, the soils were rich in organic matter and non-crystalline material such as allophane. Bulk densities were very low and similar between sites for corresponding soil horizons, except for the pasture top-soil which was more compacted, particularly on cow trails. Soil porosity was very high throughout the profile and dominated by macro- and mesopores, again with the exception of the pasture top-soil and the cow trails. Water retention at a suction of 1500 kPa (permanent wilting point) was very high, except in gravelly C-horizons which had low retention capacity. Amounts of plant-available water (i.e. held at suctions between 10 and 1500 kPa) were also high. Surface infiltration rates were relatively high and dominated by “bypass” flow via macropores in the gravelly horizon (at 20–30 cm depth). Spatial variability in infiltration rates was high in the pasture but less in the forest. Saturated hydraulic conductivity at the soil surface was high in general but considerably reduced in the pasture. […]

Type
Chapter
Information
Tropical Montane Cloud Forests
Science for Conservation and Management
, pp. 502 - 515
Publisher: Cambridge University Press
Print publication year: 2011

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References

Baver, L. D. (1956). Soil Physics. New York: John Wiley.Google Scholar
Beven, K., and Germann, P. (1982). Macropores and water flow in soils. Water Resources Research 18: 1311–1325.CrossRefGoogle Scholar
Black, C. E. (1967). Method of Soil Analysis, American Society of Agronomists Monograph No. 9. Madison, WI: American Society of Agronomists.Google Scholar
Bogner, C., Engelhardt, S., Zeilinger, J., and Huwe, B. (2008). Visualization and analysis of flow patterns and water flow simulations in disturbed and undisturbed tropical soils. In Gradients in a Tropical Mountain Ecosystem of Ecuador, eds. Beck, E., Bendix, J., Kottke, I., Makeschin, F., and Mosandl, R., pp. 403–412. Berlin: Springer-Verlag.Google Scholar
Bonell, M. (2005). Runoff generation in tropical forests. In Forests, Water and People in the Humid Tropics, eds. Bonell, M. and Bruijnzeel, L. A., pp. 314–406. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Bouma, J. (1983). Use of soil survey data to select measurement techniques for hydraulic conductivity. Agricultural Water Management 6: 177–190.CrossRefGoogle Scholar
Buytaert, W. (2004). The properties of the soils of the south Ecuadorian páramo and the impact of land use changes on their hydrology. Ph.D. thesis, Catholic University Leuven, Leuven, Belgium.Google Scholar
Carvajal, A. (2003). Distribución de raíces finas en suelos del bosque nuboso y pastos, en Monteverde, Costa Rica. B.Sc. thesis, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.Google Scholar
,Centro de Investigaciones Agronómicas (CIA-UCR) (1984). Manual de laboratorio de edafología. San José, Costa Rica: CIA-UCR.Google Scholar
Clark, K. L., Lawton, R. O., and Butler, P. R. (2000). The physical environment. In Monteverde: Ecology and Conservation of a Tropical Cloud Forest, eds. Nadkarni, N. M. and Wheelwright, N. T., pp. 15–34. Oxford, UK: Oxford University Press.Google Scholar
Davis, S. H., Vertéis, R. A., and Silberstein, R. P. (1999). The sensitivity of a catchment model to soil hydraulic properties obtained by using different measuring techniques. Hydrological Processes 13: 677–688.3.0.CO;2-N>CrossRefGoogle Scholar
Duisberg-Waldenberg, P. (1980). Erosión y conservación de suelos. In Estudio ecológico integral de las zonas de afectación del Proyecto Arenal, Centro Científica Tropical, 2–1–2–65. San José, Costa Rica: Centro Científica Tropical.Google Scholar
Durner, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water Resources Research 30: 211–223.CrossRefGoogle Scholar
Edwards, K. A. (1979). The water balance of the Mbeya experimental catchments. East African Agricultural and Forestry Journal 1: 231–247.CrossRefGoogle Scholar
Frumau, K. F. A., Bruijnzeel, L. A., and Tobón, C. (2006). Measurement of precipitation in montane tropical catchments: comparative performance of conventional, spherical and “potential” rain gages. In Forest and Water in a Changing Environment, eds. Liu, S. R., Sun, G., and Sun, P. S., pp. 104–108. Vienna: IUFRO, and Beijing: Chinese Academy of Forestry.Google Scholar
Furuhata, A., and Hayashi, S. (1980). Relation between soil structure and soil pore composition: case of volcanogenous soils in Tokachi district. Research Bulletin o the Hokkaido National Agricultural Experimental Station 126: 53–58 (in Japanese, with English summary).Google Scholar
García-Santos, G. (2007). An ecohydrological and soils study in a montane cloud forest in the National Park of Garajonay, La Gomera (Canary Islands, Spain). Ph.D. thesis, VU University Amsterdam, Amsterdam, the Netherlands. Also available at www.falw.vu.nl/nl/onderzoek/earth-sciences/geo-environmental-science-and-hydrology/hydrology-dissertations/index.asp.Google Scholar
Giambelluca, T. W., Martin, R. E., Asner, G. P., et al. (2009). Evapotranspiration and energy balance of native wet montane cloud forest in Hawai'i. Agricultural and Forest Meteorology 149: 230–243.CrossRefGoogle Scholar
Grip, H., Fritsch, J. M., and Bruijnzeel, L. A. (2005). Soil and water impacts during forest conversion and stabilization to new land use. In Forests, Water and People in the Humid Tropics, eds. Bonell, M. and Bruijnzeel, L. A., pp. 563–589. Cambridge, UK: Cambridge University Press.Google Scholar
Guariguata, M. R., and Kattan, G. H. (2003). Ecología y conservación de bosques Neotropicales. San José, Costa Rica: Editorial Tecnológica de Costa Rica.Google Scholar
Hafkenscheid, R. L. L. J., Bruijnzeel, L. A., deJeu, R. A. M., and Bink, N. J. (2002). Water budgets of two upper montane rain forests of contrasting stature in the Blue Mountains, Jamaica. In Proceedings of the 2 International Colloquium on Hydrology and Water Management in the Humid Tropics, ed. Gladwell, J. S., pp. 399–424. Paris: IHP-UNESCO, and Panama City: CATHALAC.Google Scholar
Hamilton, L. S., Juvik, J. O., and Scatena, F. N. (eds.) (1995). Tropical Montane Cloud Forests. New York: Springer-Verlag.CrossRefGoogle Scholar
Harden, C. P. (1992). Incorporating roads and footpaths in watershed-scale hydrologic and soil erosion models. Physical Geography 13: 368–385.Google Scholar
Harden, C. P., and Scruggs, P. D. (2003). Infiltration on mountain slopes: a comparison of three environments. Geomorphology 55: 5–24.CrossRefGoogle Scholar
Hermann, R. (1971). Die zeitlichen Anderung der Wasserbindung im Boden unter verschiedenen Vegetationsformationen der Hohenstufen eines tropischen Hochgebirges (Sierra Nevada de Santa Marta, Kolumbien). Erdkunde 25: 90–102.CrossRefGoogle Scholar
Holwerda, F. (2005). Water and energy budgets of rain forests along an elevation gradient under maritime tropical conditions. Ph.D. thesis, VU University Amsterdam, Amsterdam, the Netherlands. Also available at www.falw.vu.nl/nl/onderzoek/earth-sciences/geo-environmental-science-and-hydrology/hydrology-dissertations/index.asp.Google Scholar
Holwerda, F., Burkard, R., Eugster, W. E., et al. (2006). Estimating fog deposition at a Puerto Rican elfin cloud forest site: comparison of the water budget and eddy covariance methods. Hydrological Processes 20: 2669–2692.CrossRefGoogle Scholar
Huwe, B., Zimmermann, B., Zeilinger, J., Quizhpe, M., and Elsenbeer, H. (2008). Gradients and patterns of soil physical parameters at local, field and catchment scales. In Gradients in a Tropical Mountain Ecosystem of Ecuador, eds. Beck, E., Bendix, J., Kottke, I., Makeschin, F., and Mosandl, R., pp. 391–402. Berlin: Springer-Verlag.Google Scholar
Ito, T., Shoji, S., and Saigusa, M. (1991). Classification of volcanic ash soils from Konsen district, Hokkaido, according to the last Keys to Soil Taxonomy (1990). Japanese Journal of Soil Science and Plant Nutrition 62: 237–247 (in Japanese, with English abstract).Google Scholar
Juvik, J. O., and Nullet, D. (1995). Relationships between rainfall, cloud water interception and canopy throughfall in a Hawaiian montane forest. In Tropical Montane Cloud Forests, eds. Hamilton, L. S., Juvik, J. O., and Scatena, F. N., pp. 165–182. New York: Springer-Verlag.CrossRefGoogle Scholar
Kappelle, M., and Brown, A. D. (2001). Bosques nublados del neotropico. Heredia, Costa Rica: INBIO.Google Scholar
Klute, A., and Dirksen, C. (1986). Hydraulic conductivity and diffusivity: laboratory methods. In Methods of Soil Analysis, Part 1, Physical and Mineralogical Methods, ed. Klute, A., pp. 687–734. Madison, WI: American Society of Agronomy.Google Scholar
Köhler, L., Tobón, C., , K. F.Frumau, A., and Bruijnzeel, L. A. (2007). Biomass and water storage dynamics of epiphytes in old-growth and secondary montane cloud forest stands in Costa Rica. Plant Ecology 193: 171–184.CrossRefGoogle Scholar
Kubota, T. (1976). Surface chemical properties of volcanic ash soils: especially on phenomenon and mechanism of irreversible aggregation of the soil by drying. Bulletin of National Agricultural Science 28B: 1–74 (in Japanese, with English abstract).Google Scholar
Lal, R. (1987). Tropical Ecology and Physical Edaphology. New York: John Wiley.Google Scholar
Lazarovitch, N., Ben-Gal, A., Simunek, J., and Shani, U. (2007). Uniqueness of soil hydraulic parameters determined by a combined Wooding inverse approach. Soil Science Society of America Journal 71: 860–865.CrossRefGoogle Scholar
Luxmoore, R. J. (1981). Micro-, meso-, and macroporosity of soil. Soil Science Society of America Journal 45: 671–672.CrossRefGoogle Scholar
Marshall, T. J., Holmes, J. W., and Rose, C. W. (1996). Soil Physics. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
McJannet, D. L., Fitch, P. G., Disher, M. G., and Wallace, J. (2007a). Measurements of transpiration in four tropical rainforest types of north Queensland, Australia. Hydrological Processes 21: 3549–3564.CrossRefGoogle Scholar
McJannet, D. L., Wallace, J. S., and Reddell, P. (2007b). Precipitation interception in Australian tropical rainforests. II. Altitudinal gradient of cloud interception, stemflow, throughfall and interception. Hydrological Processes 21: 1703–1718.CrossRefGoogle Scholar
Motzer, T., Munz, N., Küppers, M., Schmitt, D., and Anhuf, D (2005). Stomatal conductance, transpiration and sap flow of tropical montane rain forest trees in the southern Ecuadorian Andes. Tree Physiology 25: 1283–1293.CrossRefGoogle ScholarPubMed
Parasuraman, K., Elshorbagy, A., and Cheng, S. (2006). Estimating saturated hydraulic conductivity in spatially variable fields using neural network ensembles. Soil Science Society of America Journal 70: 1851–1859.CrossRefGoogle Scholar
Patel, M. S., and Singh, N. T. (1981). Changes in bulk density and water intake rate of a coarse textured soil in relation to different levels of compaction. Journal of the Indian Society of Soil Science 29: 110–112.Google Scholar
Ping, C. T., Shoji, S., and Ito, T. (1988). Properties and classification of three volcanic ash-derived pedons from Aleutian Islands and Alaska Peninsula, Alaska. Soil Science Society of America Journal 52: 455–462.CrossRefGoogle Scholar
Podwojewski, P., Janeau, J. L., and Leroux, Y. (2008). Effects of agricultural practices on the hydrodynamics of a deep tilled hardened volcanic ash–soil (Cangahua) in Ecuador. Catena 72: 179–190.CrossRefGoogle Scholar
Regalado, C., and Ritter, A. (2006). Characterizing water dependent soil repellency with minimal parameter requirement. Soil Science Society of America Journal 69: 1955–1966.CrossRefGoogle Scholar
Reynolds, W. D., and Elrick, D. E. (1985). In situ measurements of field-saturated hydraulic conductivity, sorptivity, and the alpha-parameter using the Guelph Permeameter. Soil Science 140: 292–302.CrossRefGoogle Scholar
Reynolds, W. D., and Elrick, D. E. (1991). Determination of hydraulic conductivity using a tension infiltrometer. Soil Science Society of America Journal 55: 633–639.CrossRefGoogle Scholar
Reynolds, W. D., Elrick, D. E., and Clothier, B. E. (1985). The constant-head well permeameter: effect of unsaturated flow. Soil Science 139: 172–180.CrossRefGoogle Scholar
Reynolds, W. D., Bowman, B. T., Brunke, R. R., Drury, C. F., and Tan, C. S. (2000). Comparison of tension infiltrometer, pressure infiltrometer, and soil core estimates of saturated hydraulic conductivity. Soil Science Society of America Journal 64: 478–484.CrossRefGoogle Scholar
,Riverside Salinity Laboratory (2001). Riverside Salinity Laboratory: Agricultural Research Service. Available at www.ars.usda.gov/aboutus/aboutus.htm.
Saghafian, B., Julien, P. Y., and Ogden, F. L. (1995). Similarity in catchment response. I. Stationary rainstorms. Water Resources Research 31: 1533–1541.CrossRefGoogle Scholar
Saigusa, M., Shoji, S., and Nakaminami, H. (1987). Measurement of water retention at 15 bar tension by pressure membrane method and available moisture of Andosols. Japanese Journal of Soil Science and Plant Nutrition 58: 374–377 (in Japanese, with English summary).Google Scholar
Santiago, L. S., Goldstein, G., Meinzer, F. C., Fownes, J. H., and Mueller-Dombois, D. (2000). Transpiration and forest structure in relation to soil waterlogging in a Hawaiian montane cloud forest. Tree Physiology 20: 673–681.CrossRefGoogle Scholar
Schwartz, R. C., Unger, P. W., and Evett, S. R. (2000). Land use effects on soil hydraulic properties. In Proceedings of the 15th Conference of the International Soil Tillage Research Organization. Washington, DC: Conservation and Production Research Laboratory, U.S. Department of Agriculture.Google Scholar
Schwärzel, K., and Punzel, P. (2007). Hood infiltrometer: a new type of tension infiltrometer. Soil Science Society of America Journal 71: 1438–1447.CrossRefGoogle Scholar
Shoji, S., Nanzyo, M., and Dahlgren, R. A. (1993). Volcanic Ash Soils: Genesis, Properties and Utilization. Amsterdam, the Netherlands: Elsevier.Google Scholar
,Soil Survey Staff (1996). Keys to Soil Taxonomy, 7th edn. Washington, DC: Natural Resource Conservation Service of the U.S. Department of Agriculture.
Stakman, W. P., and Harst, G. G. (1969). Determination of Soil Moisture Retention Curves, Vol. 2, Pressure Membrane Apparatus, Range pF 3.0 to 4.2. Wageningen, the Netherlands: Institute for Land and Water Management Research.Google Scholar
Stephens, D. B., Tyler, S., Lambert, K., and Yates, S. (1983). Field experiments to determine saturated hydraulic conductivity in the vadose zone. In Role of the Unsaturated Zone in Radioactive and Hazardous Waste Disposal, ed. Mercer, J. W., pp. 113–126. Ann Arbor, MI: Ann Arbor Science.Google Scholar
Stolte, J., Freijer, J. I., Bouten, W., et al. (1994). Comparison of six methods to determine unsaturated soil hydraulic conductivity. Soil Science Society of America Journal 58: 1596–1603.CrossRefGoogle Scholar
Tobón, C. (1999). Monitoring and Modelling Hydrological Fluxes in Support of Nutrient Cycling Studies in Amazonian Rain Forest Ecosystems. Wageningen, the Netherlands: Tropenbos Foundation.Google Scholar
Tomasella, J., Hodnett, M. G., and Rossato, L. (2000). Pedotransfer functions for the estimation of soil water retention in Brazilian soils. Soil Science Society of America Journal 64: 327–338.CrossRefGoogle Scholar
Genuchten, M. Th. (1980). A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44: 892–898.CrossRefGoogle Scholar
Vargas, R. (2001). Geología, hidrogeoquímia y modelo conceptual de reservorio para la prefactibilidad del campo geotérmico poco sol, San Ramón – San Carlos, Costa Rica. M.Sc. thesis, University of Costa Rica, San José, Costa Rica.Google Scholar
Vogeler, I., Clothier, B. E., Green, S. R., Scotter, D. R., and Tillman, R. W. (1996). Characterizing water and solute movement by time domain reflectometry and disk permeameter. Soil Science Society of America Journal 60: 5–12.CrossRefGoogle Scholar
Wang, D., Yates, S. R., and Ernst, F. F. (1998). Determining soil hydraulic properties using tension infiltrometers, Time Domain Reflectometry, and tensiometers. Soil Science Society of America Journal 62: 318–325.CrossRefGoogle Scholar
Warrick, A. W., and Nielsen, D. R. (1980). Spatial variability of soil physical properties in the field. In Applications of Soil Physics, ed. Hillel, D., pp. 319–344. New York: Academic Press.CrossRefGoogle Scholar
Wooding, R. A. (1968). Steady infiltration from a shallow circular pond. Water Resources Research 4: 1259–1273.CrossRefGoogle Scholar
Woolhiser, D. A., Smith, R. E., and Giraldez, J. V. (1996). Effects of spatial variability of saturated hydraulic conductivity on Hortonian overland flow. Water Resources Research 32: 671–678.CrossRefGoogle Scholar
Xiang, J. (1994). Improvements in evaluating constant-head permeameter test data. Journal of Hydrology 162: 77–97.CrossRefGoogle Scholar
Xiang, J., Scanlon, B. R., Mullican, W. F., Chen, L., and Goldsmith, R. S. (1997). A multistep constant-head borehole test to determine field saturated hydraulic conductivity of layered soils. Advances in Water Resources 20: 45–57.CrossRefGoogle Scholar
Zadroga, F. (1981). The hydrological importance of a montane cloud forest area of Costa Rica. In Tropical Agricultural Hydrology, eds. Lal, R. and Russell, E. W., pp. 59–73. New York: John Wiley.Google Scholar
Ziegler, A. D., Giambelluca, T. W., Tran, L. T., et al., (2004). Hydrological consequences of landscape fragmentation in mountainous northern Vietnam: evidence of accelerated overland flow generation. Journal of Hydrology 287: 124–146.CrossRefGoogle Scholar
Zimmermann, B., and Elsenbeer, H. (2008). Spatial and temporal variability of soil saturated hydraulic conductivity in gradients of disturbance. Journal of Hydrology 361: 78–95.CrossRefGoogle Scholar

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