This dataset contains physiological measurements from a controlled laboratory experiment on juvenile Pseudotsuga menziesii (Douglas fir) conducted between June and August 2023 at the experimental greenhouse facility of the Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, southern Germany. The plant material originated from a commercial nursery in Franconia, Germany, and consisted of three-year-old trees maintained under uniform conditions prior to the experiment. The experiment aimed to assess the physiological responses of P. menziesii to progressive drought and subsequent recovery under controlled environmental conditions. Two drought treatments (mild and severe) were applied over a four-week period, followed by a re-watering phase. Air and soil temperature, relative humidity, vapor pressure deficit, molar flow, transpiration rate, net photosynthesis, conductance to water, and CO₂ exchange were recorded continuously using automated LI-COR gas exchange systems with separate branch (aboveground) and root (belowground) chambers. Each measurement is associated with a unique tree identifier, treatment level, and compartment. All timestamps are reported in Coordinated Universal Time (UTC). The dataset provides detailed observations suitable for examining drought stress responses and recovery dynamics in juvenile Pseudotsuga menziesii under controlled laboratory conditions.
Die Datenserie beinhaltet die gemäß der Definition des Forstvermehrungsgutgesetzes (FoVG) flächenhaft erfassten Forstsaatgutbestände der Baumarten Bergahorn [Acer pseudoplatanus L.], Douglasie [Pseudotsuga menziesii (Mirb.) Franco], Esche [Fraxinus excelsior L.], Esskastanie [Castanea sativa Mill.], Europäische Lärche [Larix decidua Mill.], Gemeine Fichte [Picea abies (L.) Karst.], Gemeine Kiefer [Pinus sylvestris L.], Große Küstentanne [Abies grandis Lindl.], Hainbuche [Carpinus betulus L.], Hybridlärche [Larix x eurolepis Henry], Japanische Lärche [Larix kaempferi (Lamb.) Carr.], Moorbirke [Betula pubescens Ehrh.], Pappel (alle Arten und künstlichen Hybriden) [Populus spp.], Rotbuche [Fagus sylvatica L.], Roteiche [Quercus rubra L.], Roterle [Alnus glutinosa (L.) Gaertn.], Sandbirke [Betula pendula Roth], Schwarzkiefer [Pinus nigra Arnold], Sommerlinde [Tilia platyphyllos Scop.], Spitzahorn [Acer platanoides L.], Stieleiche [Quercus robur L.], Traubeneiche [Quercus petraea (Mattuschka) Liebl.], Vogelkirsche (außer zur Verwendung im Obstbau) [Prunus avium L.], Weißtanne [Abies alba Mill.], Winterlinde [Tilia cordata Mill.]. Forstsaatgutbestände sind ausgewählte und offiziell zugelassene Waldflächen oder Samenplantagen, die für die Erzeugung von forstlichem Saatgut (Forstvermehrungsgut) geeignet sind. Zu jedem Bestand wird neben der eindeutigen Identifizierungsnummer, das Jahr der Zulassung bzw. Ersterfassung, die Zulassungsstelle, die Baumart nach FoVG mit Herkunftsgebiet sowie die Kategorie des Forstvermehrungsgutes (Ausgewählt, Qualifiziert, Geprüft, Quellengesichert) angegeben.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
Wood samples from Douglas fir trees were taken using an increment borer. From each tree two opposing increment cores were taken at breast height. The sampled trees stood in an area of ~50x50 meters. Total ring width was measured and digitized. The resulting two radii measurements of each tree were visually synchronized and averaged to form a tree-ring series. Additionally, metadata were collected such as tree height, circumference and provenance (coastal, interior). The tree-ring data were used to investigate the resilience, resistance and recovery of the Douglas fir trees to severe drought events and to perform climate sensitivity analysis. This tree-ring dataset was part of a sampling campaign to assess the growth potential of Douglas fir trees until the year 2100. Annual tree growth variability until 2100 was modeled for Germany (including the river basins draining to Germany) with a spatial resolution of 12x12 km using regional climate projections ensemble.
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