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    Evaluation of electrical signals in pine trees in a mediterranean forest ecosystem

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    This is an Accepted Manuscript of an article published by Taylor & Francis in Plant Signaling and Behaviour on 2020, available online: http://www.tandfonline.com/10.1080/15592324.2020.1795580[EN] Electric potential differences in living plants are explained by theories based on sap flow. In order to acquire more advanced knowledge about the spatial distribution of these electric potential measures in trees, this research aims to analyze electrical signals in a population of Aleppo pines (Pinus halepensisMill.) in a representative Mediterranean forest ecosystem. The specific research objective is to assess some of the most significant factors that influence the distribution pattern of those electric signals: tree age, measurement type and electrode placement. The research has been conducted in representative forest stands, obtaining measurements of different representative trees. After a statistical evaluation of the obtained results, the main conclusions of our research are: A.Tree maturity influences directly on electric potential. B.Maximum electrical signals can be measured in young pines showing values of 0.6 V and 0.6 mu A for voltage and current, respectively. C.The distribution patterns of both voltage and short-circuit current depending on electrode placement are uniform.Zapata, R.; Oliver Villanueva, JV.; Lemus ZĂșñiga, LG.; Luzuriaga, JE.; Mateo Pla, MÁ.; UrchueguĂ­a Schölzel, JF. (2020). Evaluation of electrical signals in pine trees in a mediterranean forest ecosystem. Plant Signaling and Behaviour (Online). 15(10):1-9. https://doi.org/10.1080/15592324.2020.1795580S191510I. Further experiments on the more important physiological changes induced in the human economy by change of climate. (1873). Proceedings of the Royal Society of London, 21(139-147), 1-10. doi:10.1098/rspl.1872.0002Darwin, C. (1875). Insectivorous plants /. doi:10.5962/bhl.title.99933Bose, J. C. (1926). The nervous mechanism of plants /. doi:10.5962/bhl.title.139322Pickard, B. G. (1973). Action potentials in higher plants. The Botanical Review, 39(2), 172-201. doi:10.1007/bf02859299Oyarce, P., & Gurovich, L. (2010). Electrical signals in avocado trees. Plant Signaling & Behavior, 5(1), 34-41. doi:10.4161/psb.5.1.10157Gurovich, L. A., & Hermosilla, P. (2009). Electric signalling in fruit trees in response to water applications and light–darkness conditions. Journal of Plant Physiology, 166(3), 290-300. doi:10.1016/j.jplph.2008.06.004Rhodes, J., Thain, J., & Wildon, D. (1996). The pathway for systemic electrical signal conduction in the wounded tomato plant. Planta, 200(1). doi:10.1007/bf00196648Volkov, A. G., Adesina, T., & Jovanov, E. (2007). Closing of Venus Flytrap by Electrical Stimulation of Motor Cells. Plant Signaling & Behavior, 2(3), 139-145. doi:10.4161/psb.2.3.4217Pyatygin, S. S., Opritov, V. A., & Vodeneev, V. A. (2008). Signaling role of action potential in higher plants. Russian Journal of Plant Physiology, 55(2), 285-291. doi:10.1134/s1021443708020179Brenner, E. D., Stahlberg, R., Mancuso, S., Vivanco, J., BaluĆĄka, F., & Van Volkenburgh, E. (2006). Plant neurobiology: an integrated view of plant signaling. Trends in Plant Science, 11(8), 413-419. doi:10.1016/j.tplants.2006.06.009Zimmermann, M. R., Maischak, H., Mithöfer, A., Boland, W., & Felle, H. H. (2009). System Potentials, a Novel Electrical Long-Distance Apoplastic Signal in Plants, Induced by Wounding. Plant Physiology, 149(3), 1593-1600. doi:10.1104/pp.108.133884Schaller, A., & Oecking, C. (1999). Modulation of Plasma Membrane H + -ATPase Activity Differentially Activates Wound and Pathogen Defense Responses in Tomato Plants. The Plant Cell, 11(2), 263. doi:10.2307/3870855FROMM, J., & LAUTNER, S. (2006). Electrical signals and their physiological significance in plants. Plant, Cell & Environment, 30(3), 249-257. doi:10.1111/j.1365-3040.2006.01614.xGelli, A., Higgins, V. J., & Blumwald, E. (1997). Activation of Plant Plasma Membrane Ca2+-Permeable Channels by Race-Specific Fungal Elicitors. Plant Physiology, 113(1), 269-279. doi:10.1104/pp.113.1.269Stankovic, B., Zawadzki, T., & Davies, E. (1997). Characterization of the Variation Potential in Sunflower. Plant Physiology, 115(3), 1083-1088. doi:10.1104/pp.115.3.1083Mwesigwa, J., Collins, D. J., & Volkov, A. G. (2000). Electrochemical signaling in green plants: effects of 2,4-dinitrophenol on variation and action potentials in soybean. Bioelectrochemistry, 51(2), 201-205. doi:10.1016/s0302-4598(00)00075-1Sukhova, E., Akinchits, E., & Sukhov, V. (2017). Mathematical Models of Electrical Activity in Plants. The Journal of Membrane Biology, 250(5), 407-423. doi:10.1007/s00232-017-9969-7Love, C. J., Zhang, S., & Mershin, A. (2008). Source of Sustained Voltage Difference between the Xylem of a Potted Ficus benjamina Tree and Its Soil. PLoS ONE, 3(8), e2963. doi:10.1371/journal.pone.0002963Gora, E. M., & Yanoviak, S. P. (2015). Electrical properties of temperate forest trees: a review and quantitative comparison with vines. Canadian Journal of Forest Research, 45(3), 236-245. doi:10.1139/cjfr-2014-0380Horwitz, W. (1939). The theory of electrokinetic phenomena. Journal of Chemical Education, 16(11), 519. doi:10.1021/ed016p519Gibert, D., Le MouĂ«l, J.-L., Lambs, L., Nicollin, F., & Perrier, F. (2006). Sap flow and daily electric potential variations in a tree trunk. Plant Science, 171(5), 572-584. doi:10.1016/j.plantsci.2006.06.012Gil, P. M., Gurovich, L., & Schaffer, B. (2008). The electrical response of fruit trees to soil water availability and diurnal light-dark cycles. Plant Signaling & Behavior, 3(11), 1026-1029. doi:10.4161/psb.6786Gil, P. M., Gurovich, L., Schaffer, B., GarcĂ­a, N., & Iturriaga, R. (2009). Electrical signaling, stomatal conductance, ABA and Ethylene content in avocado trees in response to root hypoxia. Plant Signaling & Behavior, 4(2), 100-108. doi:10.4161/psb.4.2.7872RĂ­os-Rojas, L., Morales-Moraga, D., Alcalde, J. A., & Gurovich, L. A. (2015). Use of plant woody species electrical potential for irrigation scheduling. Plant Signaling & Behavior, 10(2), e976487. doi:10.4161/15592324.2014.976487Cardoso SS, Carrondo LB, Marques JM, Narciso PN, Rocha MJ, Rodrigues IN, Soares A. (2004). Monitorization of the electrical signal generated by a tree. February 2004 – 4th luso-spanish assembly on geodesy and geophysics.Le MouĂ«l, J.-L., Gibert, D., & Poirier, J.-P. (2010). On transient electric potential variations in a standing tree and atmospheric electricity. Comptes Rendus Geoscience, 342(2), 95-99. doi:10.1016/j.crte.2009.12.001Koppan A (2004). Variations of the natural electric potential differences occurring on tree trunks and their relationship with the xylem sap flow. PhD Thesis. University of West Hungary. Sopron, Hungary.Volkov, A. G., & Ranatunga, D. R. A. (2006). Plants as Environmental Biosensors. Plant Signaling & Behavior, 1(3), 105-115. doi:10.4161/psb.1.3.3000AAVV. (2008). Distribution map of aleppo pine. EUFORGEN 2009,[Retrieved 2020 July 16]. www.euforgen.orgDe Luis, M., Čufar, K., Di Filippo, A., Novak, K., Papadopoulos, A., Piovesan, G., 
 Smith, K. T. (2013). Plasticity in Dendroclimatic Response across the Distribution Range of Aleppo Pine (Pinus halepensis). PLoS ONE, 8(12), e83550. doi:10.1371/journal.pone.0083550Fadi B, Semerci H, Vendramin GG. 2003. EUROFORGEN technical guidelines for genetic conservation and use for aleppo pine (Pinus halepensis) and brutia pine (Pinus brutia).  IPGRI, International plant genetic resources institute. Rome (Italy). p. 6. ISBN 92-9043-571-2.Mauri A, Di Leo M, de Rigo D, Caudullo G. 2016. Pinus halepensis and Pinus brutia in Europe: distribution, habitat, usage and threats. In: San-Miguel-Ayanz J, de Rigo D, Caudullo G, Houston Durrant T, Mauri A, editors. European Atlas of Forest TreeSpecies. Publ. Off. EU, Luxembourg. p. e0166b8+.Pausas, J. G., Ribeiro, E., & Vallejo, R. (2004). Post-fire regeneration variability of Pinus halepensis in the eastern Iberian Peninsula. Forest Ecology and Management, 203(1-3), 251-259. doi:10.1016/j.foreco.2004.07.061Dorado Liñån, I., GutiĂ©rrez, E., Heinrich, I., Andreu-Hayles, L., MuntĂĄn, E., Campelo, F., & Helle, G. (2011). Age effects and climate response in trees: a multi-proxy tree-ring test in old-growth life stages. European Journal of Forest Research, 131(4), 933-944. doi:10.1007/s10342-011-0566-5Saket M, Altrell D, Vuorinen P, Dalsgaard S, Andersson,National forest inventory (field manual template) The Forest Resources Assessment (FRA), , http://www.fao.org/3/ae578e/AE578E06.htm.FERNÁNDEZ PURATICH, H. W. (s. f.). VALORIZACIÓN INTEGRAL DE LA BIOMASA LEÑOSA AGROFORESTAL A LO LARGO DEL GRADIENTE ALTITUDINAL EN CONDICIONES MEDITERRÁNEAS. doi:10.4995/thesis/10251/19133Hapla, F., Oliver-Villanueva, J. V., & GonzĂĄlez-Molina, J. M. (2000). Effect of silvicultural management on wood quality and timber utilisation of Cedrus atlantica in the European mediterranean area. Holz als Roh- und Werkstoff, 58(1-2), 1-8. doi:10.1007/s001070050377Hapla, F., & Saborowski, J. (1987). Stichprobenplanung fĂŒr holzanatomische Untersuchungen. Holz als Roh- und Werkstoff, 45(4), 141-144. doi:10.1007/bf02627564Seeling U, Sachsse H (1991). Abnorme Kernbildung bei Rotbuche und ihr Einfluß auf holzbiologische und holztechnologische KenngrĂ¶ĂŸen [Abnormal heartwood formation in beech and its influence on the biological and technological features of the wood] (Doctoral dissertation, Doctoral thesis, 2nd).Wobst J (1995). Auswirkungen von Standortwahl und Durchforstungsstrategie auf verwertungsrelvante Holzeigenschaften der Douglasie (Pseudotsuga menziesii (Mirb. (Franco)) (Doctoral dissertation). UNIVERSITY OF GÖTTINGEN.Peters S (1996). Untersuchungen ĂŒber die Holzeigenschaften der Stieleiche (Quercus robur L.) und ihre Beeinflussung durch die Bestandesdichte. Papierflieger, UNIVERSITY OF GÖTTINGEN.Krcmar, P., Kuritka, I., Maslik, J., Urbanek, P., Bazant, P., Machovsky, M., 
 Merka, P. (2019). Fully Inkjet-Printed CuO Sensor on Flexible Polymer Substrate for Alcohol Vapours and Humidity Sensing at Room Temperature. Sensors, 19(14), 3068. doi:10.3390/s19143068Wang, K., & Zhang, S. (2019). Extracellular electron transfer modes and rate-limiting steps in denitrifying biocathodes. Environmental Science and Pollution Research, 26(16), 16378-16387. doi:10.1007/s11356-019-05117-xDIRECTIVE 1999/5/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 9 March 1999.Prutchi, D., & Norris, M. (2004). Design and Development of Medical Electronic Instrumentation. doi:10.1002/0471681849Woodward, S., & Pearce, R. B. (1988). The role of stilbenes in resistance of Sitka spruce (Picea sitchensis (Bong.) Carr.) to entry of fungal pathogens. Physiological and Molecular Plant Pathology, 33(1), 127-149. doi:10.1016/0885-5765(88)90049-5Mullick, D. B. (1975). A new tissue essential to necrophylactic periderm formation in the bark of four conifers. Canadian Journal of Botany, 53(21), 2443-2457. doi:10.1139/b75-271Abbott, D. T., & Crossley, D. A. (1982). Woody Litter Decomposition Following Clear-Cutting. Ecology, 63(1), 35-42. doi:10.2307/1937028Fensom, D. S. (1963). THE BIOELECTRIC POTENTIALS OF PLANTS AND THEIR FUNCTIONAL SIGNIFICANCE: V. SOME DAILY AND SEASONAL CHANGES IN THE ELECTRICAL POTENTIAL AND RESISTANCE OF LIVING TREES. Canadian Journal of Botany, 41(6), 831-851. doi:10.1139/b63-068Sellin, A. (1991). Variation in sapwood thickness of Picea abies in Estonia depending on the tree age. Scandinavian Journal of Forest Research, 6(1-4), 463-469. doi:10.1080/02827589109382683Rosenvald, K., Ostonen, I., Uri, V., Varik, M., Tedersoo, L., & LĂ”hmus, K. (2012). Tree age effect on fine-root and leaf morphology in a silver birch forest chronosequence. European Journal of Forest Research, 132(2), 219-230. doi:10.1007/s10342-012-0669-7Delgado, A. V., GonzĂĄlez-Caballero, F., Hunter, R. J., Koopal, L. K., & Lyklema, J. (2007). Measurement and interpretation of electrokinetic phenomena. Journal of Colloid and Interface Science, 309(2), 194-224. doi:10.1016/j.jcis.2006.12.07

    Energy potential of native shrub species in northern Spain

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    This paper we present an energy review of the waste generated by shrub species in soils of low fertility for use as fuel in a power plant. The residues analysed belong to the species: Rhamus alaternus, Ulex europaeus, Prunus spinosa, Smilax aspera, Erica sp., Rubus ulmifolius, and Pteridium aquilinum. Gross calorific value (GCV), net calorific value (NCV), density, elementary chemical analysis, moisture content, percentage of ash, productivity, energy density and FVI (fuel value index) have been measured. These parameters have been determined for three levels of moisture (maximum, medium and minimum). At medium moisture level, the residues of U. europaeus are those that reach the greatest FVI, 20,000. In the other extreme is the P. aquilinum with an FVI of 403. The average productivity of waste, in t ha 1, of each species has been determined in order to know how much energy is stored per hectare. U. europaeus and P. spinosa are the species which accumulate more energy per hectare, with similar values of around 81 MJ ha 1 yr 1 and installed power of 2.59Wha 1. The energy recovery of the waste in a thermal power plant would generate an annual revenue of 14.6 MV, taking into account that 40% of the forest land covered by shrub in Cantabria is used for this purpose
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