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Estimation of Aboveground Biomass of Acacia Trees in the Hyper-Arid Arava, Israel Using Allometric Analysis
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Abstract:
Biomass is among the most important state variables used to characterize ecosystems. Estimation of tree biomass involves the development of species-specific “allometric equations” that describe the relationship between tree biomass and tree diameter and/or height. While many allometric equations were developed for northern hemisphere and tropical species, rarely have they been developed for trees in arid ecosystems, limiting, amongst other things, our ability to estimate carbon stocks in arid regions. Acacia raddiana and A. tortilis are major components of savannas and arid regions in the Middle East and Africa, where they are considered keystone species. Using the opportunity that trees were being uprooted for land development, we measured height (H), north-south (C1) and east-west (C2) canopy diameters, stem diameter at 1.3 meters of the largest stem (D1.3 or DBH), and aboveground fresh and dry weight (FW and DW, respectively) of nine trees (n = 9) from each species. For A. tortilis only, we recorded the number of trunks, and measured the diameter of the largest trunk at ground level (D0). While the average crown (canopy) size (C1 + C2) was very similar among the two species, Acacia raddiana trees were found to be significantly taller than their Acacia tortilis counterparts. Results show that in the arid Arava (southern Israel), an average adult acacia tree has ~200 kg of aboveground dry biomass and that a typical healthy acacia ecosystem in this region, may include ~41 tons of tree biomass per km2. The coefficients of DBH (tree diameter at breast height) to biomass and wood volume, could be used by researchers studying acacia trees throughout the Middle East and Africa, enabling them to estimate biomass of acacia trees and to evaluate their importance for carbon stocks in their arid regions. Highlights: 1) Estimations of tree biomass in arid regions are rare. 2) Biomass allometric equations were developed for A. raddiana and A. tortilis trees. 3) Equations contribute to the estimation of carbon stocks in arid regions.
| [1] | Brown S (1997) Estimating Biomass and Biomass Change of Tropical Forests: a Primer. FAO Forestry Paper 134. |
| [2] | Muukkonen, P. and Mäkipää, R. (2006) Biomass Equations for European Trees: Addendum. Silva Fennica, 40, 763-773. https://doi.org/10.14214/sf.475 |
| [3] | Zianis, D., Muukkonen, P., Mäkipää, R. and Mencuccini, M. (2005) Biomass and Stem Volume Equations for Tree Species in Europe. In: Silva Fennica Monographs 4, 1-63. https://doi.org/10.14214/sf.sfm4 |
| [4] | Ebuy, J., Lokombé, D.J., Ponette, Q., Sonwa, D. and Picard, N. (2011) Biomass Equation for Predicting Tree Aboveground Biomass at Yangambi, DRC. Journal of Tropical Forest Science, 23, 125-132. |
| [5] | Heriansyah, I., Miyakuni, K., Kato, T., Kiyono, Y. and Kanazawa, Y. (2007) Growth Characteristics and Biomass Accumulations of Acacia mangium under Different Management Practices in Indonesia. Journal of Tropical Forest Science, 45, 226-235. |
| [6] | Reynolds, J.F., Smith, D.M.S., Lambin, E.F., Turner, B.L., Mortimore, M., Batterbury, S.P.J., et al. (2007) Global Desertification: Building a Science for Dryland Development. Science, 316, 847-851. https://doi.org/10.1126/science.1131634 |
| [7] | Maslin, B.R., Miller, J.T. and Seigler, D.S. (2003) Overview of the Generic Status of Acacia (Leguminosae: Mimosoideae). Australian Systematic Botany, 16, 1-18. https://doi.org/10.1071/sb02008 |
| [8] | Groner, E., Rapaport, A., Segev, N., Ragolsky, G., Nelvitsky, R., Alexander, K., et al. (2017) A Standardized Protocol to Monitor Acacia Trees in the Arava. Negev, Dead Sea and Arava Studies, 9, 1-14. |
| [9] | Ward, D. (2010) The Effects of Apical Meristem Damage on Growth and Defenses of Two Acacia Species in the Negev Desert. Evolutionary Ecology Research, 12, 589-602. |
| [10] | Munzbergova, Z. and Ward, D. (2002) Acacia Trees as Keystone Species in Negev Desert Ecosystems. Journal of Vegetation Science, 13, 227-236. https://doi.org/10.1111/j.1654-1103.2002.tb02043.x |
| [11] | Shinozaki, K., Yoda, K., Hozumi, K. and Kira, T. (1964) A Quantitative Analysis of Plant Form—The Pipe Model Theory. I. Basic Analyses. Japanese Journal of Ecology, 14, 97-105. |
| [12] | Tsai, L.M. (1988) Studies on Acacia mangium in Kemasul Forest, Malaysia. I. Biomass and Productivity. Journal of Tropical Ecology, 4, 293-302. https://doi.org/10.1017/s0266467400002856 |
| [13] | Henry, M., Picard, N., Trotta, C., Manlay, R., Valentini, R., Bernoux, M., et al. (2011) Estimating Tree Biomass of Sub-Saharan African Forests: A Review of Available Allometric Equations. Silva Fennica, 45, 477-569. https://doi.org/10.14214/sf.38 |
| [14] | Okello, B.D., O’Connor, T.G. and Young, T.P. (2001) Growth, Biomass Estimates, and Charcoal Production of Acacia drepanolobium in Laikipia, Kenya. Forest Ecology and Management, 142, 143-153. https://doi.org/10.1016/s0378-1127(00)00346-7 |
| [15] | Jucker, T., Caspersen, J., Chave, J., Antin, C., Barbier, N., Bongers, F., et al. (2016) Allometric Equations for Integrating Remote Sensing Imagery into Forest Monitoring Programmes. Global Change Biology, 23, 177-190. https://doi.org/10.1111/gcb.13388 |
