Provides functions for efficiently estimating properties of 
         the Van Genuchten-Mualem model for soil hydraulic parameters from 
         possibly sparse soil water retention and hydraulic conductivity data 
         by multi-response parameter estimation methods 
         (Stewart, W.E., Caracotsios, M. Soerensen, J.P. (1992) 
         "Parameter estimation from multi-response data" 
         <doi:10.1002/aic.690380502>). Parameter estimation is simplified 
         by exploiting the fact that residual and saturated water contents 
         and saturated conductivity are conditionally linear parameters 
         (Bates, D. M.  and Watts, D. G. (1988) 
         "Nonlinear Regression Analysis and Its Applications" 
         <doi:10.1002/9780470316757>). 
         Estimated parameters are optionally constrained by the evaporation
         characteristic length (Lehmann, P., Bickel, S., Wei, Z. and Or, D. (2020)
         "Physical Constraints for Improved Soil Hydraulic Parameter 
         Estimation by Pedotransfer Functions" <doi:10.1029/2019WR025963>) 
         to ensure that the estimated parameters are physically valid. 
         Common S3 methods and further utility functions allow to process, 
         explore and visualise estimation results.

Calculate numerical agricultural soil management indicators from on a management timeline of an arable field. Currently, indicators for carbon (C) input into the soil system, soil tillage intensity rating (STIR), number of soil cover and living plant cover days, N fertilization and livestock intensity, and plant diversity are implemented.
    The functions can also be used independently of the management timeline to calculate some indicators. The package contains tables with reference information for the functions, as well as a '*.xlsx' template to collect the management data.

Basic and model-based soil physical analyses.

Functions for modeling Soil Organic Matter decomposition
        in terrestrial ecosystems with linear and nonlinear systems of differential equations. 
        The package implements
        models according to the compartmental system representation described in 
        Sierra and others (2012) <doi:10.5194/gmd-5-1045-2012> and Sierra and others (2014)
        <doi:10.5194/gmd-7-1919-2014>.