Pérez-Cruzado, César

[["dc.bibliographiccitation.firstpage","319"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","New Forests"],["dc.bibliographiccitation.lastpage","332"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Tang, Xiaolu"],["dc.contributor.author","Lu, Yuanchang"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Forrester, David I."],["dc.contributor.author","Guisasola-Rodríguez, Rubén"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-11-28T09:52:29Z"],["dc.date.available","2017-11-28T09:52:29Z"],["dc.date.issued","2015"],["dc.description.abstract","Chinese fir [(Cunninghamia lanceolata (Lamb.) Hook] is one of the most important plantation tree species in subtropical China, accounting for about 21 % of China’s total forest plantation area. Although many studies have been conducted in Chinese fir plantations, uncertainties remain regarding its potential and dynamics to sequestrate carbon as a function of stand type, stand age and management. In this study, we applied tree ring analysis as a retrospective tool to study tree- and stand-level aboveground biomass (AGB) dynamics in a 17-year old Chinese fir plantation in Shitai County, Anhui Province, China. A total of 18 trees from different dominance classes were felled for the stem analyses: 6 dominant, 6 co-dominant and 6 suppressed trees. The stem analyses showed that as expected the annual increments of dbh and AGB were significantly higher for dominant trees than those for co-dominant and suppressed trees. Total stand-level AGB increased from 1.85 t ha−1 at age 3 years to 108.12 t ha−1 at age 17 years. Splitting the stand into dominance classes, tree analysis was useful to explain variation of the stand-level AGB and provided more detailed information about the growth dynamics of the stands. Tree ring analyses offer a viable and efficient approach to retrospectively study tree growth and AGB accumulation dynamics in Chinese fir plantations. In the studied stand under the given management regime, a rotation period of 17 years would optizimise AGB productivity."],["dc.identifier.doi","10.1007/s11056-015-9518-0"],["dc.identifier.fs","622632"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10568"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1573-5095"],["dc.relation.issn","0169-4286"],["dc.title","Estimation of stand-level aboveground biomass dynamics using tree ring analysis in a Chinese fir plantation in Shitai County, Anhui Province, China"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","19"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","24"],["dc.bibliographiccitation.volume","331"],["dc.contributor.author","Eimil-Fraga, Cristina"],["dc.contributor.author","Rodriguez-Soalleiro, Roque"],["dc.contributor.author","Sanchez-Rodriguez, Federico"],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.contributor.author","Alvarez-Rodriguez, Esperanza"],["dc.date.accessioned","2018-11-07T09:33:14Z"],["dc.date.available","2018-11-07T09:33:14Z"],["dc.date.issued","2014"],["dc.description.abstract","Relationships between soil properties, foliar nutrients and growth were studied in 128 plots of Pinus pinaster established in soil over different types of bedrock in Galicia (NW Spain). Plots were classified into the following groups of bedrocks according to geological maps and samples: granitic rocks, quaternary sediments, quartzite and sandstone, slates and phyllites, biotitic schists, micaschists, gneiss and migmatites. Bedrock type significantly influenced exchangeable Ca, total N, soil depth, foliar N, P, Ca, K and Mg and site index. Bedrock was also related to elevation, temperature and slope, as a result of the distribution and geomorphology. Soils developed from biotitic schists, gneiss, migmatites and granitic rocks were the most favourable for tree growth. The poorest growth and most severe nutrient deficiencies were observed in soils developed from quaternary sediments, mica schists, phyllites and slates, quartzite and sandstone. Two regression models were developed to predict site index: a complete model explained 52% of the total variation in site index, and a model for granitic rocks explained 53% of the variation. Both indicated the importance of soil depth, elevation and foliar K and Ca as predictive variables. (C) 2014 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.foreco.2014.07.024"],["dc.identifier.isi","000343844200003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31922"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1872-7042"],["dc.relation.issn","0378-1127"],["dc.title","Significance of bedrock as a site factor determining nutritional status and growth of maritime pine"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","309"],["dc.bibliographiccitation.journal","Biomass and Bioenergy"],["dc.bibliographiccitation.lastpage","320"],["dc.bibliographiccitation.volume","72"],["dc.contributor.author","Oliveira, Nerea"],["dc.contributor.author","Sixto, Hortensia"],["dc.contributor.author","Canellas, Isabel"],["dc.contributor.author","Rodriguez-Soalleiro, Roque"],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.date.accessioned","2018-11-07T10:03:33Z"],["dc.date.available","2018-11-07T10:03:33Z"],["dc.date.issued","2015"],["dc.description.abstract","A Reference Diagram (RD) was constructed for first rotations of the Euroamerican poplar 'I-214' grown as short rotation coppice (SRC). Data from 144 plots, established in eleven sites in Mediterranean environments, were used to develop the model. The density at establishment of the plantations ranged between 6666 and 33,333 stools ha(-1), covering the usual densities ranges used in short rotation forestry (SRF). The RD was based on a density-independent mortality model that relates the density of living stools to the average height of dominant shoot and the initial plantation density, and it includes a system of two simultaneously fitted equations relating a) quadratic mean basal diameter of dominant shoots to the average height of dominant shoot and the final density, and b) total above-ground woody dry biomass to quadratic mean basal diameter and final density. The isolines in the RD represented mortality, quadratic mean basal diameter of dominant shoots and total above-ground woody dry biomass at the end of a first rotation of three years. The final yield in terms of biomass ranged from 1 to 85 Mg dm ha(-1). The RD enables rapid and straightforward comparison of different situations, both at planting and at harvesting, and is a useful tool, based on a wide range of empirical data, for management and decision making regarding short rotation poplar crops. (C) 2014 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.biombioe.2014.09.019"],["dc.identifier.isi","000349724100032"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38493"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Pergamon-elsevier Science Ltd"],["dc.relation.issn","1873-2909"],["dc.relation.issn","0961-9534"],["dc.title","Productivity model and reference diagram for short rotation biomass crops of poplar grown in Mediterranean environments"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","14"],["dc.bibliographiccitation.journal","Environmental Modelling & Software"],["dc.bibliographiccitation.lastpage","26"],["dc.bibliographiccitation.volume","73"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Cañellas, Isabel"],["dc.contributor.author","Sixto, Hortensia"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:09Z"],["dc.date.available","2017-09-07T11:47:09Z"],["dc.date.issued","2015"],["dc.description.abstract","Tree biomass estimates in environmental studies are based on allometric models, which are known to vary with species, site, and other forest characteristics. The UNFCCC published a guideline to evaluate the appropriateness of biomass models before application, but it misleads the concept of model suitability and does also allow the selection of models with systematic deviations in the predictions. Here we present an alternative approach based on non-parametric techniques. The approach was tested for pure stands, but this methodology is likewise applicable to mixed forests. The proposed tests perform well in rejecting a model if the predictions for the targeted population are systematically deviant. It is demonstrated that the suitability of an allometric model is a matter of accuracy. The proposed method also allows localizing the model. The presented approach can improve the transparency of global forest monitoring systems and can be implemented with relatively small effort."],["dc.identifier.doi","10.1016/j.envsoft.2015.07.019"],["dc.identifier.gro","3149279"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5938"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B05: Land use patterns in Jambi - quantification of structure, heterogeneity and changes of vegetation and land use as a basis for the explanation of ecological and socioeconomic functions"],["dc.relation.issn","1364-8152"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","On the site-level suitability of biomass models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","36"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forestry"],["dc.bibliographiccitation.lastpage","45"],["dc.bibliographiccitation.volume","89"],["dc.contributor.author","Tang, Xiaolu"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Vor, Torsten"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:10Z"],["dc.date.available","2017-09-07T11:47:10Z"],["dc.date.issued","2016"],["dc.description.abstract","Stand density management diagrams (SDMDs) are powerful tools for the design, display and evaluation of different density management regimes derived without long-term thinning trials in the field. The SDMDs can be used to predict future stand development based on specific thinning schedules and to optimize forest management. Even though Chinese fir (Cunninghamia lanceolata [Lamb.] Hook) covers the largest area in China’s plantations with an area of 8.54 million ha, there is no management tool for optimization of different management regimes. In this study, SDMDs, generated from common one-time inventory data, provided information about the evolution of quadratic mean diameter, stand volume, stem and above ground biomass with stand development for the widely planted Chinese fir plantations in southern China. A system of four equations was fitted simultaneously to data collected from 74 inventory plots. Relative spacing index was used to characterize the growing stock. These SDMDs can be easy tools for local forest managers to estimate the stand volume, stem and above ground biomass and could be the reference to determine optimum thinning schedules."],["dc.identifier.doi","10.1093/forestry/cpv024"],["dc.identifier.gro","3149271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5929"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0015-752X"],["dc.title","Development of stand density management diagrams for Chinese fir plantations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","194"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","206"],["dc.bibliographiccitation.volume","391"],["dc.contributor.author","Oliveira, Nerea"],["dc.contributor.author","Rodriguez-Soalleiro, Roque"],["dc.contributor.author","Jose Hernandez, Maria"],["dc.contributor.author","Canellas, Isabel"],["dc.contributor.author","Sixto, Hortensia"],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.date.accessioned","2018-11-07T10:24:43Z"],["dc.date.available","2018-11-07T10:24:43Z"],["dc.date.issued","2017"],["dc.description.abstract","Short Rotation Coppice (SRC) plantations are important to biomass supply in the biomass market. The biomass stocks estimations should be based on robust models that allow the most accurate estimations. We have evaluated the changes in allometry for the estimation of biomass production at individual stool level in a short rotation, high density poplar plantation under a coppice system during two rotations of three years. The plantation was established in central-northern Spain, with a density of 17,316 stools ha(-1). The influence of different factors in the allometry has been evaluated to improve the methodology for more robust biomass prediction. In an SRC system, the influence of age was more pronounced in the first year after each coppicing than in subsequent years of the cycle. Our findings suggest that this feature of nature must be accommodated in the modelling procedure either through the model formulation (decreasing the parameter variability with the inclusion of age as a dummy predictor variable) or by selecting the sample according to the stage of development of the above-ground biomass (which will depend on the goals of the predictions). The minimum sample size proposed to construct a model capable of predicting biomass regardless of age in SRC was 50 trees. Furthermore, the uncertainty was quantified in two models for total above-ground dry woody biomass, the first based only on the basal diameter and the other on the basal diameter along with the number of shoots per stool; the inclusion of the latter was advisable to increase the accuracy and reduce the mean deviation in biomass predictions at different ages. (C) 2017 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.foreco.2017.02.020"],["dc.identifier.isi","000399511500020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42709"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1872-7042"],["dc.relation.issn","0378-1127"],["dc.title","Improving biomass estimation in a Populus short rotation coppice plantation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","525"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","BioEnergy Research"],["dc.bibliographiccitation.lastpage","535"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Oliveira, Nerea"],["dc.contributor.author","Rodriguez-Soalleiro, Roque"],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.contributor.author","Canellas, Isabel"],["dc.contributor.author","Sixto, Hortensia"],["dc.date.accessioned","2018-11-07T10:23:28Z"],["dc.date.available","2018-11-07T10:23:28Z"],["dc.date.issued","2017"],["dc.description.abstract","Woody biomass is one of our main resources available to enhance the bio-economy, but its production varies considerably depending on the species, the environment and crop management. The variability associated with these crops complicates the estimation of biomass through prediction models. The specificity of environment or genotype level limits the application of many of the models, which are often developed for use at local geographical levels. Although generalizations involve some loss of accuracy, the inclusion of a wide range of data for a wide range of environments and genotypes can improve model applicability. A total of 11,265 data from short-rotation, high-density poplar plantations (from 22 sites in Spain, covering 29 genotypes belonging to 7 different taxonomic groups) were used to develop biomass prediction models under Mediterranean conditions and to test whether similarities in individual tree biomass allometry occur within the taxonomic group level. A general model and both taxonomic group- and genotype-level models were fitted using weighted nonlinear regression. The simplified model, in which only the basal diameter is included, presented the best model performance, explaining 87% of the variability. The allometric similarities among different genotypes were evaluated in order to explore the relationship between the most frequently used poplar genotypes in the Mediterranean area, and although certain groups were identified, it was not possible to relate these similarities among different genotypes to their taxonomic group affinity. This was also confirmed by comparing the performance of the general models with the taxonomic group-level models when predicting at the genotype level. Although estimates made using the general models are relatively precise, the use of genotype-level models is recommended for more accurate predictions."],["dc.identifier.doi","10.1007/s12155-017-9818-7"],["dc.identifier.isi","000400861200020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42459"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Springer"],["dc.relation.issn","1939-1242"],["dc.relation.issn","1939-1234"],["dc.title","On the Genetic Affinity of Individual Tree Biomass Allometry in Poplar Short Rotation Coppice"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","221"],["dc.bibliographiccitation.journal","Soil Biology and Biochemistry"],["dc.bibliographiccitation.lastpage","229"],["dc.bibliographiccitation.volume","92"],["dc.contributor.author","Barros, N."],["dc.contributor.author","Hansen, L. D."],["dc.contributor.author","Pineiro, V."],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.contributor.author","Villanueva, M."],["dc.contributor.author","Proupin, J."],["dc.contributor.author","Rodriguez-Anon, J. A."],["dc.date.accessioned","2018-11-07T10:21:40Z"],["dc.date.available","2018-11-07T10:21:40Z"],["dc.date.issued","2016"],["dc.description.abstract","Calorespirometric ratio of metabolism connects the metabolic activity with the nature of the substrate and metabolic pathways being used by cells and microorganisms. Calorespirometric ratios have been determined for many living systems including animals, plants, plant and animal cells, and many different microorganisms, but application to soil is very recent. Calorespirometric ratios for soils are obtained by simultaneous calorimetric measurements of heat and CO2 rates from biodegradation of soil organic matter. The purpose here is to gain a better understanding of the factors influencing the value of the calorespirometric ratio in soil, i.e. changes in the composition of the soil organic matter, soil moisture, soil particle size, and soil management (e.g. conversion of pasture to forest). Results indicate that calorespirometric ratios are sensitive to moisture, soil size fraction, and the source and age of soil organic matter. (C) 2015 Elsevier Ltd. All rights reserved."],["dc.description.sponsorship","Xunta de Galicia [10PXIB291027PR]"],["dc.identifier.doi","10.1016/j.soilbio.2015.10.007"],["dc.identifier.isi","000367487700023"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42133"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Pergamon-elsevier Science Ltd"],["dc.relation.issn","0038-0717"],["dc.title","Factors influencing the calorespirometric ratios of soil microbial metabolism"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Annals of Forest Science"],["dc.bibliographiccitation.lastpage","16"],["dc.bibliographiccitation.volume","74"],["dc.contributor.author","Tang, Xiaolu"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Guan, Fengying"],["dc.contributor.author","Forrester, David I."],["dc.contributor.author","Guisasola, Rubén"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Vor, Torsten"],["dc.contributor.author","Lu, Yuanchang"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2017-09-07T11:47:07Z"],["dc.date.available","2017-09-07T11:47:07Z"],["dc.date.issued","2017"],["dc.description.abstract","The estimation of biomass growth dynamics and stocks is a fundamental requirement for evaluating both the capability and potential of forest carbon sequestration. However, the biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla using the generalized algebraic difference approach (GADA) model has not been made to date. This study aimed to quantify aboveground biomass (AGB, including stem, branch and leaf biomass) dynamics and AGB increment in C. lanceolata and C. sclerophylla forests by combining a GADA for diameter prediction with allometric biomass models. A total of 12 plots for a C. lanceolata plantation and 11 plots for a C. sclerophylla forest were selected randomly from a 100 m × 100 m systematic grid placed over the study area. GADA model was developed based on tree ring data for each stand. GADA models performed well for diameter prediction and successfully predicted AGB dynamics for both stands. The mean AGB of the C. lanceolata stand ranged from 69.4 ± 7.7 Mg ha−1 in 2010 to 102.5 ± 11.4 Mg ha−1 in 2013, compared to 136.9 ± 7.0 Mg ha−1 in 2010 to 154.8 ± 8.0 Mg ha−1 in 2013 for C. sclerophylla. The stem was the main component of AGB stocks and production. Significantly higher production efficiency (stem production/leaf area index) and AGB increment was observed for C. lancolata compared to C. sclerophylla. Dynamic GADA models could overcome the limitations posed by within-stand competition and limited biometric data, can be applied to study AGB dynamics and AGB increment, and contribute to improving our understanding of net primary production and carbon sequestration dynamics in forest ecosystems."],["dc.identifier.doi","10.1007/s13595-016-0603-0"],["dc.identifier.gro","3149268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5926"],["dc.language.iso","en"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1286-4560"],["dc.title","A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]