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@ARTICLE{GonzlezSanchis:888487,
      author       = {González-Sanchis, María and García-Soro, Juan M. and
                      Molina, Antonio J. and Lidón, Antonio L. and Bautista,
                      Inmaculada and Rouzic, Elie and Bogena, Heye R. and
                      Hendricks-Franssen, Harrie-Jan and del Campo, Antonio D.},
      title        = {{C}omparison of {S}oil {W}ater {E}stimates {F}rom
                      {C}osmic-{R}ay {N}eutron and {C}apacity {S}ensors in a
                      {S}emi-arid {P}ine {F}orest: {W}hich {I}s {A}ble to {B}etter
                      {A}ssess the {R}ole of {E}nvironmental {C}onditions and
                      {T}hinning?},
      journal      = {Frontiers in water},
      volume       = {2},
      issn         = {2624-9375},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2020-04951},
      pages        = {552508},
      year         = {2020},
      abstract     = {Water scarcity in semi-arid regions is expected to increase
                      under climate change, which will significantly affect forest
                      ecosystems by increasing fire risk, diminishing productivity
                      and water provisioning. Eco-hydrological forest management
                      is conceived here as an adequate strategy to buffer climate
                      change effects and increase forest resilience. Under this
                      context, soil moisture is a key variable to quantify the
                      impacts of eco-hydrological forest management on
                      forest-water relations. Cosmic-ray neutron and capacitance
                      probes are two different techniques for measuring soil
                      moisture, which differ greatly in the spatial scale of the
                      measurement support (i.e., few centimeters vs. several
                      hectares). This study compares the capability of both
                      methodologies in assessing soil water dynamics as a key
                      variable that reflects the effects of forest management in a
                      semi-arid environment. To this end, two experimental plots
                      were established in Sierra Calderona in the province of
                      Valencia in Spain in a post-fire regeneration Aleppo pine
                      forest with high tree density. One plot was thinned (T) and
                      the other remained as control (C). Nine capacitance probes
                      and one Cosmic Ray Neutron Probe (CRNP) were installed in
                      each plot. First, the CRNP was calibrated and validated, and
                      subsequently, the performance of both techniques was
                      analyzed by comparing soil moisture and its relationship
                      with environmental variables and stand transpiration. The
                      validation results confirmed the general reliability of CRNP
                      to obtain soil moisture under semi-arid conditions, with a
                      Kling-Gupta efficiency coefficient (KGE) between 0.75 and
                      0.84, although this performance decreased significantly when
                      dealing with extreme soil moisture (KGE: −0.06–0.02). A
                      significant effect of forest biomass and litter layer was
                      also observed on CRNP-derived soil moisture, which produced
                      an overestimation of soil moisture. The performance of both
                      methodologies was analyzed by partial correlations between
                      soil moisture and environmental variables and transpiration,
                      as well as by applying Boosted Regression Trees to reproduce
                      tree transpiration with each soil moisture measurement
                      technique together with the environmental variables. Both
                      methodologies were capable to reproduce tree transpiration
                      affected by soil moisture, environmental variables and
                      thinning, although CRNP always appeared as the most affected
                      by atmospheric driving forces},
      cin          = {IBG-3},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000659409100001},
      doi          = {10.3389/frwa.2020.552508},
      url          = {https://juser.fz-juelich.de/record/888487},
}