Saborowski, Joachim

[["dc.bibliographiccitation.firstpage","344"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Canadian Journal of Forest Research"],["dc.bibliographiccitation.lastpage","354"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Ritter, Tim"],["dc.contributor.author","Nothdurft, Arne"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T09:26:26Z"],["dc.date.available","2018-11-07T09:26:26Z"],["dc.date.issued","2013"],["dc.description.abstract","The well-known angle count sampling (ACS) has proved to be an efficient sampling technique and has been applied in forest inventories for many decades. However, ACS assumes total visibility of objects; any violation of this assumption leads to a nondetection bias. We present a novel approach, in which the theory of distance sampling is adapted to traditional ACS to correct for the nondetection bias. Two new estimators were developed based on expanding design-based inclusion probabilities by model-based estimates of the detection probabilities. The new estimators were evaluated in a simulation study as well as in a real forest inventory. It is shown that the nondetection bias of the traditional estimator is up to -52.5%, whereas the new estimators are approximately unbiased."],["dc.identifier.doi","10.1139/cjfr-2012-0408"],["dc.identifier.isi","000318024900004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30296"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0045-5067"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.title","Correcting the nondetection bias of angle count sampling"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1845"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","European Journal of Forest Research"],["dc.bibliographiccitation.lastpage","1856"],["dc.bibliographiccitation.volume","131"],["dc.contributor.author","Ritter, Tim"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T09:03:45Z"],["dc.date.available","2018-11-07T09:03:45Z"],["dc.date.issued","2012"],["dc.description.abstract","In managed forests, the occurrence of deadwood (DW) can be regarded as a stochastically rare event with strong clumping and high local variability (Meyer in Forstwissenschaftliches Centralblatt 118: 167-180, 1999). Traditional sampling techniques, such as Fixed Area Sampling, Angle Count Sampling and Line Intersect Sampling, do not regard this fact and may be inefficient for surveys of DW, because of limited search areas. A sampling technique that should remedy this shortcoming is Point Transect Sampling (Buckland et al. in Introduction to distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford, 2001; Advanced distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford, 2004), where as a matter of principle, all objects that are sighted from a fixed location are counted. We compare Point Transect Sampling with the other well-established sampling approaches for the estimation of volume, necro-mass and carbon storage in terms of precision and sampling effort. It is shown that Point Transect Sampling is the superior method for sampling standing DW regarding efficiency, whereas for sampling downed DW, it is clearly outperformed by Line Intersect Sampling."],["dc.description.sponsorship","German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)"],["dc.identifier.doi","10.1007/s10342-012-0637-2"],["dc.identifier.isi","000313036900017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24961"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1612-4669"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","Carbon sequestration"],["dc.subject.gro","Carbon storage"],["dc.subject.gro","Deadwood"],["dc.subject.gro","Distance sampling"],["dc.subject.gro","Point transect sampling"],["dc.subject.gro","Woody debris"],["dc.title","Point transect sampling of deadwood: a comparison with well-established sampling techniques for the estimation of volume and carbon storage in managed forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","107"],["dc.bibliographiccitation.journal","Tagung (Deutscher Verband Forstlicher Forschungsanstalten, Sektion Forstliche Biometrie und Informatik)"],["dc.bibliographiccitation.lastpage","122"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Ritter, Tim"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2020-12-08T08:44:31Z"],["dc.date.available","2020-12-08T08:44:31Z"],["dc.date.issued","2013"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/69475"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.title","Probleme der Präzisionsschätzung beim Point Transect Sampling von Totholz"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","571"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Forestry (Oxford)"],["dc.bibliographiccitation.lastpage","581"],["dc.bibliographiccitation.volume","87"],["dc.contributor.author","Ritter, Tim"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T09:34:23Z"],["dc.date.available","2018-11-07T09:34:23Z"],["dc.date.issued","2014"],["dc.description.abstract","Deadwood is an important component of many ecosystems and plays a major role for biodiversity, soil protection and carbon sequestration. Despite its high ecological value, deadwood is not included in the main focus of traditional forest inventories. The sampling designs of these inventories are therefore not optimal for deadwood sampling. However, in recent years, interest in non-timber aspects of forest structure and demand for multipurpose forest inventories has increased. Drawing on the example of a German state forest district inventory, we suggest an efficient integration of point transect and line intersect sampling of deadwood into an existing forest inventory, carried out as two-phase sampling for stratification. Compared with fixed area sampling, efficiency is tremendously increased using point transect sampling for standing deadwood and line intersect sampling for coarse woody debris."],["dc.identifier.doi","10.1093/forestry/cpu016"],["dc.identifier.isi","000343055800010"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32163"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1464-3626"],["dc.relation.issn","0015-752X"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.title","Efficient integration of a deadwood inventory into an existing forest inventory carried out as two-phase sampling for stratification"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]