Show simple item record

dc.contributor.authorDe Cáceres, Miquel
dc.contributor.authorMartínez-Vilalta, Jordi
dc.contributor.authorColl Mir, Lluís
dc.contributor.authorLlorens, Pilar
dc.contributor.authorCasals, Pere
dc.contributor.authorPoyatos, Rafael
dc.contributor.authorPausas, Juli G. (Juli Garcia)
dc.contributor.authorBrotons, Lluís
dc.description.abstractMechanistic water balance models can be used to predict soil moisture dynamics and drought stress in individual forest stands. Predicting current and future levels of plant drought stress is important not only at the local scale, but also at larger, landscape to regional, scales, because these are the management scales at which adaptation and mitigation strategies are implemented. To obtain reliable predictions of soil moisture and plant drought stress over large extents, water balance models need to be complemented with detailed information about the spatial variation of vegetation and soil attributes. We designed, calibrated and validated a water balance model that produces annual estimates of drought intensity and duration for all plant cohorts in a forest stand. Taking Catalonia (NE Spain) as a case study, we coupled this model with plot records from two Spanish forest inventories in which species identity, diameter and height of plant cohorts were available. Leaf area index of each plant cohort was estimated from basal area using species-specific relationships. Vertical root distribution for each species in each forest plot was estimated by determining the distribution that maximized transpiration in the model, given average climatic conditions, soil attributes and stand density. We determined recent trends (period 1980–2010) in drought stress for the main tree species in Catalonia; where forest growth and densification occurs in many areas as a result of rural abandonment and decrease of forest management. Regional increases in drought stress were detected for most tree species, although we found high variation in stress changes among individual forest plots. Moreover, predicted trends in tree drought stress were mainly due to changes in leaf area occurred between the two forest inventories rather than to climatic trends. We conclude that forest structure needs to be explicitly considered in assessments of plant drought stress patterns and trends over large geographic areas, and that forest inventories are useful sources of data provided that reasonably good estimates of soil attributes and root distribution are available. Our approach coupled with recent improvements in forest survey technologies may allow obtaining spatially continuous and precise assessments of drought stress. Further efforts are needed to calibrate drought-related demographic processes before water balance and drought stress estimates can be fully used for the accurate prediction of drought impacts.ca_ES
dc.description.sponsorshipThis study has received financial support from the projects CGL2011-29539, CGL2010-16373, CGL2012-39938-C02-01, CGL2013-46808-R and MONTES-Consolider CSD2008-00040 granted by the Spanish Ministry of Education and Science (MEC). This is a contribution to the ERA-NET INFORMED project. Additional support to M.D.C came from research contract granted by the Spanish Ministry of Economy and Competitiveness (RYC-2012-11109).ca_ES
dc.relation.isformatofVersió postprint del document publicat a:
dc.relation.ispartofAgricultural and Forest Meteorology, 2015, vol. 213, p. 77-90ca_ES
dc.rightscc-by-nc-nd (c) Elsevier, 2015ca_ES
dc.subjectDrought stressca_ES
dc.subjectForest inventory dataca_ES
dc.subjectMediterranean forestsca_ES
dc.subjectWater balance modelca_ES
dc.titleCoupling a water balance model with forest inventory data to predict drought stress: the role of forest structural changes vs. climate changesca_ES

Files in this item


This item appears in the following Collection(s)

Show simple item record

cc-by-nc-nd (c) Elsevier, 2015
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2015