Gadow, Klaus von

[["dc.bibliographiccitation.artnumber","30"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forest Ecosystems"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Hao, Minhui"],["dc.contributor.author","Corral-Rivas, J. J"],["dc.contributor.author","González-Elizondo, M. S"],["dc.contributor.author","Ganeshaiah, K. N"],["dc.contributor.author","Nava-Miranda, M. G"],["dc.contributor.author","Zhang, Chunyu"],["dc.contributor.author","Zhao, Xiuhai"],["dc.contributor.author","von Gadow, Klaus"],["dc.date.accessioned","2019-07-09T11:51:47Z"],["dc.date.available","2019-07-09T11:51:47Z"],["dc.date.issued","2019"],["dc.description.abstract","Abstract Background Dissimilarity in community composition is one of the most fundamental and conspicuous features by which different forest ecosystems may be distinguished. Traditional estimates of community dissimilarity are based on differences in species incidence or abundance (e.g. the Jaccard, Sørensen, and Bray-Curtis dissimilarity indices). However, community dissimilarity is not only affected by differences in species incidence or abundance, but also by biological heterogeneities among species. Methods The objective of this study is to present a new measure of dissimilarity involving the biological heterogeneity among species. The “discriminating Avalanche” introduced in this study, is based on the taxonomic dissimilarity between tree species. The application is demonstrated using observations from five stem-mapped forest plots in China and Mexico. We compared three traditional community dissimilarity indices (Jaccard, Sørensen, and Bray-Curtis) with the “discriminating Avalanche” index, which incorporates information, not only about species frequencies, but also about their taxonomic hierarchies. Results Different patterns emerged for different measures of community dissimilarity. Compared with the traditional approaches, the discriminating Avalanche values showed a more realistic estimate of community dissimilarities, indicating a greater similarity among communities when species were closely related. Conclusions Traditional approaches for assessing community dissimilarity disregard the taxonomic hierarchy. In the traditional analysis, the dissimilarity between Pinus cooperi and Pinus durangensis would be the same as the dissimilarity between P. cooperi and Arbutus arizonica. The dissimilarity Avalanche dissimilarity between P. cooperi and P. durangensis is considerably lower than the dissimilarity between P. cooperi and A. arizonica, because the taxonomic hierarchies are incorporated. Therefore, the discriminating Avalanche is a more realistic measure of community dissimilarity. This main result of our study may contribute to improved characterization of community dissimilarities."],["dc.identifier.doi","10.1186/s40663-019-0188-9"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16192"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60010"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","Springer"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Assessing biological dissimilarities between five forest communities"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","33"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Ecology"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Fan, Chunyu"],["dc.contributor.author","Tan, Lingzhao"],["dc.contributor.author","Zhang, Chunyu"],["dc.contributor.author","Zhao, Xiuhai"],["dc.contributor.author","von Gadow, Klaus"],["dc.date.accessioned","2020-12-10T18:38:56Z"],["dc.date.available","2020-12-10T18:38:56Z"],["dc.date.issued","2017"],["dc.description.abstract","Abstract Background One of the core issues of forest community ecology is the exploration of how ecological processes affect community structure. The relative importance of different processes is still under debate. This study addresses four questions: (1) how is the taxonomic structure of a forest community affected by spatial scale? (2) does the taxonomic structure reveal effects of local processes such as environmental filtering, dispersal limitation or interspecific competition at a local scale? (3) does the effect of local processes on the taxonomic structure vary with the spatial scale? (4) does the analysis based on taxonomic structures provide similar insights when compared with the use of phylogenetic information? Based on the data collected in two large forest observational field studies, the taxonomic structures of the plant communities were analyzed at different sampling scales using taxonomic ratios (number of genera/number of species, number of families/number of species), and the relationship between the number of higher taxa and the number of species. Two random null models were used and the “standardized effect size” (SES) of taxonomic ratios was calculated, to assess possible differences between the observed and simulated taxonomic structures, which may be caused by specific ecological processes. We further applied a phylogeny-based method to compare results with those of the taxonomic approach. Results As expected, the taxonomic ratios decline with increasing grain size. The quantitative relationship between genera/families and species, described by a linearized power function, showed a good fit. With the exception of the family-species relationship in the Jiaohe study area, the exponents of the genus/family-species relationships did not show any scale dependent effects. The taxonomic ratios of the observed communities had significantly lower values than those of the simulated random community under the test of two null models at almost all scales. Null Model 2 which considered the spatial dispersion of species generated a taxonomic structure which proved to be more consistent with that in the observed community. As sampling sizes increased from 20 m × 20 m to 50 m × 50 m, the magnitudes of SESs of taxonomic ratios increased. Based on the phylogenetic analysis, we found that the Jiaohe plot was phylogenetically clustered at almost all scales. We detected significant phylogenetically overdispersion at the 20 m × 20 m and 30 m × 30 m scales in the Liangshui plot. Conclusions The results suggest that the effect of abiotic filtering is greater than the effects of interspecific competition in shaping the local community at almost all scales. Local processes influence the taxonomic structures, but their combined effects vary with the spatial scale. The taxonomic approach provides similar insights as the phylogenetic approach, especially when we applied a more conservative null model. Analysing taxonomic structure may be a useful tool for communities where well-resolved phylogenetic data are not available."],["dc.identifier.doi","10.1186/s12898-017-0143-y"],["dc.identifier.eissn","1472-6785"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15132"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77482"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/16981 but duplicate"],["dc.publisher","BioMed Central"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Analysing taxonomic structures and local ecological processes in temperate forests in North Eastern China"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]