Process-Based Vegetation Models Improve Karst Recharge Simulation Under Mediterranean Forest

被引:5
|
作者
Carriere, Simon Damien
Danquigny, Charles
Davi, Hendrik
Chalikakis, Konstantinos
Ollivier, Chloe
Martin-StPaul, Nicolas K.
Emblanch, Christophe
机构
关键词
SPECTRAL-ANALYSES; WATER CYCLES; CARBON;
D O I
10.1007/978-3-319-45465-8_12
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Assessing underground hydrosystem recharge is crucial to characterizing their hydrogeological functioning. The common questions arising from a poor understanding of hydrogeological mechanism are about parts of the gross rain amount that evapotranspire and get temporarily stored within the soil. Evapotranspiration and soil water storage are largely influenced by the structure and the function of the aboveground vegetation, which is generally composed of heterogeneous forest layer in Mediterranean karstic systems. However, most models used to compute karst hydrosystem recharge rely on simplistic formulations of evapotranspiration (ET) that do not account for vegetation functioning. In this study, we used the vegetation process-based model CASTANEA to improve water transfer in the higher horizon of the karst system and recharge simulations. Effective infiltration was computed with CASTANEA or with a classical approach (based on precipitation minus ET) for a well-documented holm oak site in southern France. We then compared simulation results with outflow data measured at 33 m below ground. We found significant differences between the two calculation methods, up to 200 % of annual recharge in the case of a very dry year. The comparison of modelled effective infiltration with outflow data indicated that using CASTANEA improved assessment of the temporal dynamics of water recharge in this karst system compared to a more classical approach. Our approach constitutes a promising way to improve the simulation of karst hydrosystem recharge.
引用
收藏
页码:109 / 116
页数:8
相关论文
共 50 条
  • [31] Process-based models for forest ecosystem management:: current state of the art and challenges for practical implementation
    Mäkelä, A
    Landsberg, J
    Ek, AR
    Burk, TE
    Ter-Mikaelian, M
    Ågren, GI
    Oliver, CD
    Puttonen, P
    TREE PHYSIOLOGY, 2000, 20 (5-6) : 289 - 298
  • [32] Assessment Of Trampling Simulation Impacts On Native Vegetation In Mediterranean Sclerophyllous Forest
    Manuela Andrés-Abellán
    Francisco R. López-Serrano
    Francisco A. García Morote
    Antonio Del Cerro-Barja
    Environmental Monitoring and Assessment, 2006, 120 : 93 - 107
  • [33] Gamma Process-Based Models for Disease Progression
    Hijazy, Ayman
    Zempleni, Andras
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2021, 23 (01) : 241 - 255
  • [34] Application of process-based models to forest management: experience with PROMOD, a simple plantation productivity model
    Sands, PJ
    Battaglia, M
    Mummery, D
    TREE PHYSIOLOGY, 2000, 20 (5-6) : 383 - 392
  • [35] Performance of process-based models for simulation of grain N in crop rotations across Europe
    Yin, Xiaogang
    Kersebaum, Kurt Christian
    Kollas, Chris
    Manevski, Kiril
    Baby, Sanmohan
    Beaudoin, Nicolas
    Ozturk, Isik
    Gaiser, Thomas
    Wu, Lianhai
    Hoffmann, Munir
    Charfeddine, Monia
    Conradt, Tobias
    Constantin, Julie
    Ewert, Frank
    de Cortazar-Atauri, Inaki Garcia
    Giglio, Luisa
    Hlavinka, Petr
    Hoffmann, Holger
    Launay, Marie
    Louarn, Gaetan
    Manderscheid, Remy
    Mary, Bruno
    Mirschel, Wilfried
    Nendel, Claas
    Pacholskin, Andreas
    Palosuo, Taru
    Ripoche-Wachter, Dominique
    Roetter, Reimund P.
    Ruget, Francoise
    Sharif, Behzad
    Trnka, Mirek
    Ventrella, Domenico
    Weigel, Hans-Joachim
    Olesen, Jorgen E.
    AGRICULTURAL SYSTEMS, 2017, 154 : 63 - 77
  • [36] Process-Based Impact Models: Now and in the Future
    Roy Darwin
    Climatic Change, 2000, 45 : 541 - 552
  • [37] Gamma Process-Based Models for Disease Progression
    Ayman Hijazy
    András Zempléni
    Methodology and Computing in Applied Probability, 2021, 23 : 241 - 255
  • [38] INTRODUCTION TO PROCESS-BASED SOFTWARE QUALITY MODELS
    Soto Duran, Dario Enrique
    Reyes Gamboa, Adriana Xiomara
    CUADERNO ACTIVA, 2011, (01): : 25 - 37
  • [39] SIMULATION AS A TOOL TO IMPROVE PROCESS MODELS
    HUBER, O
    ACTA PSYCHOLOGICA, 1994, 87 (2-3) : 121 - 134
  • [40] On the upscaling of process-based models in deltaic applications
    Li, L.
    Storms, J. E. A.
    Walstra, D. J. R.
    GEOMORPHOLOGY, 2018, 304 : 201 - 213