Pérez-Cruzado, César

[["dc.bibliographiccitation.firstpage","1041"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Magnussen, Steen"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Nölke, Nils"],["dc.date.accessioned","2021-04-14T08:27:52Z"],["dc.date.available","2021-04-14T08:27:52Z"],["dc.date.issued","2021"],["dc.description.sponsorship","Forest Research Institute of the German Federal State of Rheinland-Pfalz (FAWF) in Trippstadt"],["dc.identifier.doi","10.3390/rs13051041"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82431"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","The Horizontal Distribution of Branch Biomass in European Beech: A Model Based on Measurements and TLS Based Proxies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0147610"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Tang, Xiaolu"],["dc.contributor.author","Perez-Cruzado, Cesar"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Lu, Yuanchang"],["dc.contributor.author","Kleinn, Christoph"],["dc.date.accessioned","2018-11-07T10:19:15Z"],["dc.date.available","2018-11-07T10:19:15Z"],["dc.date.issued","2016"],["dc.description.abstract","Chinese fir (Cunninghamia lanceolata [Lamb.] Hook) is one of the most important plantation tree species in China with good timber quality and fast growth. It covers an area of 8.54 million hectare, which corresponds to 21% of the total plantation area and 32% of total plantation volume in China. With the increasing market demand, an accurate estimation and prediction of merchantable volume at tree-and stand-level is becoming important for plantation owners. Although there are many studies on the total tree volume estimation from allometric models, these allometric models cannot predict tree-and stand-level merchantable volume at any merchantable height, and the stand-level merchantable volume model was not seen yet in Chinese fir plantations. This study aimed to develop (1) a compatible taper function for tree-level merchantable volume estimation, and (2) a stand-level merchantable volume model for Chinese fir plantations. This \"taper function system\" consisted in a taper function, a merchantable volume equation and a total tree volume equation. 46 Chinese fir trees were felled to develop the taper function in Shitai County, Anhui province, China. A second-order continuous autoregressive error structure corrected the inherent serial autocorrelation of different observations in one tree. The taper function and volume equations were fitted simultaneously after autocorrelation correction. The compatible taper function fitted well to our data and had very good performances in diameter and total tree volume prediction. The stand-level merchantable volume equation based on the ratio approach was developed using basal area, dominant height, quadratic mean diameter and top diameter (ranging from 0 to 30 cm) as independent variables. At last, a total stand-level volume table using stand basal area and dominant height as variables was proposed for local forest managers to simplify the stand volume estimation."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2016"],["dc.identifier.doi","10.1371/journal.pone.0147610"],["dc.identifier.isi","000368655300130"],["dc.identifier.pmid","26799399"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12850"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/41625"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1932-6203"],["dc.rights.access","openAccess"],["dc.title","Development of a Compatible Taper Function and Stand-Level Merchantable Volume Model for Chinese Fir Plantations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["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.issue","1"],["dc.bibliographiccitation.journal","Forest Ecosystems"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Magnussen, Steen"],["dc.contributor.author","Nölke, Nils"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Álvarez-González, Juan Gabriel"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Pérez-Cruzado, César"],["dc.date.accessioned","2021-04-14T08:31:18Z"],["dc.date.available","2021-04-14T08:31:18Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s40663-020-00268-7"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17621"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83552"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2197-5620"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Improving precision of field inventory estimation of aboveground biomass through an alternative view on plot biomass"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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"]]