Green water in a brown landscape: Soil characteristics and water availability along an aridity gradient in deciduous oak forests of Michoacán, Mexico
Abstract
Aim of the study: Green Water at the End of the Dry Season (GWAEDS), refers to the soil water that remains available in the root zone of plants at the end of the dry season, and it is an important soil property that may improve accuracy in models of aridity increment derived from climate change scenarios. This work aims to understand key environmental drivers of soil water availability at the end of the dry season, along a gradient of increasing aridity in the soils of temperate deciduous forests of central-western Mexico.
Area of study: The Cuitzeo Basin (19° 30’-20° 05’ N; 100° 35’-101° 30’ W) within the Trans-Mexican Volcanic Belt in west-central Mexico.
Material and methods: We quantified the GWAEDS and correlated it with soil physical and chemical properties, bioclimatic variables, and vegetation greenness (assessed as the Enhanced Vegetation Index, EVI) during the dry season across four sites spanning a gradient of increasing aridity in forests with common dominant oak species (Quercus castanea Née) on volcanic soils in central-western Mexico.
Main results: We observed differences in GWAEDS content across the four sites. Soil properties such as organic carbon content, horizon thickness, and pore space accounted for around 70% of the available soil water. In contrast, bioclimatic variables and vegetation greenness did not correlate significantly with GWAEDS. Notably, the site with the lowest annual mean precipitation exhibited the highest GWAEDS value, while the site with the second-highest precipitation showed 50% less green water. These findings underscore the buffering capacity of soil properties in regulating water availability.
Research highlights:
- Soil organic carbon, pore space, and horizon thickness explained approximately 70% of the variation in green water content.
- Edaphic properties derived from heterogeneity in pedogenetic processes regulate the green water in an aridity increment scenario.
- Soil properties may buffer water availability, with low-precipitation sites showing higher green water storage.
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Aguilar-Romero R, García-Oliva F, Pineda-García F, Torres I, Peña-Vega E, Ghilardi A, Oyama K, 2016. Patterns of distribution of nine Quercus species along an environmental gradient in a fragmented landscape in central Mexico. Bot Sci 94(3): 471-482. https://doi.org/10.17129/botsci.620
Algayer B, Lagacherie P, Lemaire J, 2020. Adapting the available water capacity indicator to forest soils: An example from the Haut-Languedoc (France). Geoderma 357: 113962. https://doi.org/10.1016/j.geoderma.2019.113962
Barradas VL, Adem J, 1992. Albedo model for a tropical dry deciduous forest in western Mexico. Int J Biometeorol 36: 113–117. https://doi.org/10.1007/BF01208922
Berdugo M, Vidiella B, Solé R, Maestre F, 2022. Ecological mechanisms underlying aridity thresholds in global drylands. Funct Ecol 36: 4-23. https://doi.org/10.1111/1365-2435.13962
Biederman JA, Scott RL, Goulden ML, Vargas R, Litvak ME, Kolb TE, Yépez EA, Oechel WC, Blanken PD, Bell TW, Garatuza-Payan J, Maurer GE, Dore S, Burns SP, 2016. Terrestrial carbon balance in a drier world: the effects of water availability in southwestern North America. Glob Change Biol 22: 1867-1879. https://doi.org/10.1111/gcb.13222
Borchert R, 1994. Soil and stem water storage determine phenology and distribution of tropical dry forests. Ecology 75: 1437-1449. https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.2307/1937467
Campos I, Villodre J, Carrara A, Calera A, 2013. Remote sensing-based soil water balance to estimate Mediterranean holm oak savanna (dehesa) evapotranspiration under water stress conditions. J Hydrol 494: 1-9. https://doi.org/10.1016/j.jhydrol.2013.04.033
Chávez-Vergara B, Merino A, Vázquez-Marrufo G, García-Oliva F, 2014. Organic matter dynamics and microbial activity during decomposition of forest floor under two native neotropical oak species in a temperate deciduous forest in Mexico. Geoderma 235-236: 133-145. https://doi.org/10.1016/j.geoderma.2014.07.005
Chávez-Vergara B, Merino A, González-Rodríguez A, Oyama K, García-Oliva F, 2018. Direct and legacy effects of plant traits control litter decomposition in a deciduous oak forest in Mexico. PeerJ 6: e5095. https://doi.org/10.7717/peerj.5095
Dymond SF, Bradford JB, Bolstad PV, Kolka RK, Sebestyen SD, DeSutter TM, 2017. Topographic, edaphic, and vegetative controls on plant-available water. Ecohydrology 10(8): e1897. https://doi.org/10.1002/eco.1897
Ellsworth PZ, Sternberg LS, 2015. Seasonal water use by deciduous and evergreen woody species in a scrub community is based on water availability and root distribution. Ecohydrology 8(4): 538-551. https://doi.org/10.1002/eco.1523
Falkenmark M, 2006. The New Blue and Green Water Paradigm: Breaking New Ground for Water Resources Planning and Management. J Water Resour Plan Manag 132(3): 129–132. https://doi.org/10.1061/(ASCE)0733-9496(2006)132:3(129
FAO, 2009. Guía para la descripción de suelos. FAO, Roma.
Flores-Delgadillo L, Alcalá-Martínez JR, 2010. Manual de procedimientos analíticos. Laboratorio de física de suelos. Instituto de Geología, UNAM. México, D. F.
Global Clime Data, 2020-2022. Bioclimatic variables. In: Worldclim. Available via https://www.worldclim.org/data/bioclim.html. Accessed 10 March 2024.
Gómez-Vasconcelos M, Avellán D, Soria-Caballero D, Macías J, Velázquez-Bucio M, Jiménez-Haro A, Israde-Alcántara I, Garduño-Monroy V, Ávila-Olivera J, Figueroa-Soto Á, Cisneros-Máximo G, Cardona-Melchor S, 2021. Geomorphic characterization of faults as earthquake sources in the Cuitzeo Lake basin, central México. J South Am Earth Sci 109: 103196. https://doi.org/10.1016/j.jsames.2021.103196
Gur E, Palta S, Ozel HB, Varol T, Sevik H, Cetin M, Kocan N, 2024. Assessment of Climate Change Impact on Highland Areas in Kastamonu, Turkey. Anthropocene 46: 100432. https://doi.org/10.1016/j.ancene.2024.100432
Hao X, Ball BC, Culley MR, Parkin GW, 2008. Soil density and porosity. In: Carter MR, Gregorich EG, eds. Soil Sampling and Methods of Analysis. CRC Press, EUA.
Herrera-Arroyo ML, Sork VL, González-Rodríguez A, Rocha-Ramírez V, Vega E, Oyama K, 2013. Seed-mediated connectivity among fragmented populations of Quercus castanea (Fagaceae) in a Mexican landscape. Am J Bot 100: 1663-1671. https://doi.org/10.3732/ajb.1200396
Huffman EWD, 1997. Performance of a new automatic carbon dioxide coulometer. Microchem J 22: 567-573. https://doi.org/10.1016/0026-265X(77)90128-X
Kohl L, Philben M, Edwards KA, Podrebarac FA, Warren J, Ziegler SE, 2018. The origin of soil organic matter controls its composition and bioreactivity across a mesic boreal forest latitudinal gradient. Glob Change Biol 24(2): e458-e473. https://doi.org/10.1111/gcb.13887
Kool D, Tong B, Tian Z, Heirman JL, Sauer TJ, Horton R, 2019. Soil water retention and hydraulic conductivity dynamics following tillage. Soil Tillage Res 193: 95-100. https://doi.org/10.1016/j.still.2019.05.020
Kuzyakov Y, Zamanian K, 2019. Reviews and syntheses: Agropedogenesis – humankind as the sixth soil-forming factor and attractors of agricultural soil degradation. Biogeosciences 16: 4783–4803. https://doi.org/10.5194/bg-16-4783-2019
Lara-De La Cruz LI, García-Oliva F, Oyama K, González-Rodríguez A, 2020. Association of functional trait variation of Quercus castanea with temperature and water availability gradients at the landscape level. Bot Sci 98(1): 16-27. https://doi.org/10.17129/botsci.2449
Liang T, Tian F, Zou L, Jin H, Tagesson T, Rumpf S, He T, Liang S, Fensholt R, 2024. Global assessment of vegetation patterns along topographic gradients. Int J Digit Earth 17(1): 2404232. https://doi.org/10.1080/17538947.2024.2404232
López-López A, Vázquez-Selem L, Siebe C, Cruz-Flores G, Correa-Metrio A, 2023. Effect of elevation and slope orientation on pedogenesis of late Holocene volcanic ash on a tropical high mountain in central Mexico. Catena 231: 107288. https://doi.org/10.1016/j.catena.2023.107288
Loustau D, Hungate B, Drake BG, 2001. Water, nitrogen, rising atmospheric CO₂, and terrestrial productivity. In: Roy J, Saugier B, Mooney HA (eds) Terrestrial Global Productivity. Elsevier Academic Press, EUA, pp 123-167.
Manoli G, Ivanov VY, Fatichi S, 2018. Dry-season greening and water stress in Amazonia: The role of modeling leaf phenology. J Geophys Res Biogeosci 123(6): 1909-1926. https://doi.org/10.1029/2017JG004282
Maysonnave J, Delpierre N, François C, Jourdan M, Cornut I, Bazot S, Vincent G, Morfin A, Berveiller D, 2022. Contribution of deep soil layers to the transpiration of a temperate deciduous forest: Implications for the modelling of productivity. Sci Total Environ 838(Pt 2): 155981. https://doi.org/10.1016/j.scitotenv.2022.155981
Mendoza M, López E, Bocco G, 2001. Regionalización ecológica, conservación de recursos naturales y ordenamiento territorial de la cuenca del Lago de Cuitzeo, Michoacán. Universidad Nacional Autónoma de México, México.
Metz J, Tielbörger K, 2016. Spatial and temporal aridity gradients provide poor proxies for plant–plant interactions under climate change: A large-scale experiment. Funct Ecol 30(1): 20-29. https://doi.org/10.1111/1365-2435.12599
Moles AT, Perkins SE, Laffan SW, Flores-Moreno H, Awasthy M, Tindall ML, Sack L, Pitman A, Kattge J, Aarssen LW, Anand M, Bahn M, Blonder B, Cavender-Bares J, Cornelissen JHC, Cornwell WK, Díaz S, Dickie JB, Freschet GT, Griffiths JG, Gutierrez AG, Hemmings FA, Hickler T, Hitchcock TD, Keighery M, Kleyer M, Kurokawa H, Leishman MR, Liu K, Niinemets Ü, Onipchenko V, Onoda Y, Penuelas J, Pillar VD, Reich PB, Shiodera S, Siefert A, Sosinski JEE, Soudzilovskaia NA, Swaine EK, Swenson NG, van Bodegom PM, Warman L, Weiher E, Wright IJ, Zhang H, Zobel M, Bonser SP, 2014. Which is a better predictor of plant traits: temperature or precipitation? J Veg Sci 25(5): 1167-1180. https://doi.org/10.1111/jvs.12190
Park C, Fujimori S, Hasegawa T, Takakura J, Takahashi K, Hijioda Y, 2018. Avoided economic impacts of energy demand changes by 1.5 and 2 °C climate stabilization. Environ Res Lett 13: 045010. https://doi.org/10.1088/1748-9326/aab724
Rawls WJ, Pachepsky YA, Ritchie JC, Sobecki TM, Bloodworth H, 2003. Effect of soil organic carbon on soil water retention. Geoderma 116(1-2): 61-76. https://doi.org/10.1016/S0016-7061(03)00094-6
Reichert JM, Albuquerque JA, Solano-Peraza JE, da Costa A, 2020. Estimating water retention and availability in cultivated soils of southern Brazil. Geoderma Reg 21: e00277. https://doi.org/10.1016/j.geodrs.2020.e00277
Reichle DE, 2020. The Global Carbon Cycle and Climate Change: Scaling Ecological Energetics from Organism to the Biosphere. Elsevier Academic Press, EUA.
Rodríguez-Correa H, González-Rodríguez A, Letelier-Gálvez L, García-Oliva F, 2019. Reducción de áreas con alta riqueza de especies del género Quercus bajo escenarios de cambio climático global. In: La biodiversidad en Michoacán. Estudio de Estado 2, vol. III. CONABIO, México, pp 333-342.
Sáenz-Romero C, Rehfeldt G, Crookston N, Duval P, Beaulieu J, 2010. Spline models of contemporary, 2030, 2060, and 2090 climates for Mexico and their use in understanding climate-change impacts on the vegetation. Clim Change 102(4): 595-623. https://doi.org/10.1007/s10584-009-9753-5
Sanchez-Mejia ZM, Papuga SA, Swetish JB, Szutu D, Hartfield K, 2014. Quantifying the influence of deep soil moisture on ecosystem albedo: The role of vegetation. Water Resour Res 50(5): 4038-4053. https://doi.org/10.1002/2013WR014150
Saxton KE, Rawls WJ, 2006. Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J 70(5): 1569–1578. https://doi.org/10.2136/sssaj2005.0117
Sedov S, Solleiro-Rebolledo E, Gama-Castro J, 2003. Andosol to Luvisol evolution in Central Mexico: timing, mechanisms, and environmental setting. Catena 54: 495-513. https://doi.org/10.1016/S0341-8162(03)00123-1
Shi H, Zhang F, Shi Q, Li M, Dai Y, Zhang Z, Zhu C, 2023. Responses of arid plant species diversity and composition to environmental factors. J For Res 34: 1723-1734. https://doi.org/10.1007/s11676-023-01618-1
Solleiro-Rebolledo E, Sedov S, Cabadas-Báez H, 2015. Use of soils and palaeosols on volcanic materials to establish the duration of soil formation at different chronological scales. Quat Int 376: 5-18. https://doi.org/10.1016/j.quaint.2014.12.002
Solleiro-Rebolledo E, Rivera-Uria Y, Chávez-Vergara B, Díaz-Ortega J, Sedov S, Alcalá-Martínez JR, Beltrán-Paz OI, Martínez-Jardines LG, 2019. Evolution of the landscape and pedodiversity on volcanic deposits in the south of the Basin of Mexico and its relationship with agricultural activities. Terra Latinoam 37: 501-518. https://doi.org/10.28940/terra.v37i4.565
Tschumi E, Lienert S, Bastos A, Ciais P, Gregor K, Joos F, Knauer J, Papastefanou P, Rammig A, Williams K, Xu Y, Zaehle S, Zscheischler J, 2023. Large variability in simulated response of vegetation composition and carbon dynamics to variations in drought-heat occurrence. Biogeosciences 128(4): e2022JG007332. https://doi.org/10.1029/2022JG007332
Zhao D, Zhang Z, Zhang Y, 2023. Soil moisture dominates the forest productivity decline during the 2022 China compound drought-heatwave event. Geophys Res Lett 50(17): e2023GL104539. https://doi.org/10.1029/2023GL104539
Zhang C, Wang Y, Jia X, Shao M, An Z, 2020. Variations in capacity and storage of plant-available water in deep profiles along a revegetation and precipitation gradient. J Hydrol 581: 124401. https://doi.org/10.1016/j.jhydrol.2019.124401
Zhang Q, Wei W, Chen L, Yang L, Chen HYH, Luo Y, 2019. Soil water availability drives changes in community traits along a hydrothermal gradient in Loess Plateau grasslands. Rangeland Ecol Manag 73(2): 276-284. https://doi.org/10.1016/j.rama.2019.10.012
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