@article{KrausTraunmuellerKaileretal.2020, author = {Kraus, Sascha and Traunm{\"u}ller, Verena and Kailer, Norbert and Tiberius, Victor}, title = {The dark triad in entrepreneurship research}, series = {Journal of enterprising culture : JEC}, volume = {28}, journal = {Journal of enterprising culture : JEC}, number = {04}, publisher = {World Scientific}, address = {Singapore}, issn = {0218-4958}, doi = {10.1142/S0218495820500156}, pages = {353 -- 373}, year = {2020}, abstract = {The impact of traits in entrepreneurship has been subject to intense discussion. Apart from favorable traits fostering opportunity recognition, entrepreneurial orientation, venture performance, and other variables, a younger research stream also addresses the role of negative traits. Among them, the dark triad, comprising of narcissism, Machiavellianism, and psychopathy, have gained specific attention. This systematic literature review aims to structure the field, identify current research themes, and provide a better understanding of prior research outcomes. Our results show that dark triad research addresses entrepreneurial activity, opportunity recognition, entrepreneurial orientation, entrepreneurial leadership, the and entrepreneurial motives. Among the dark triad traits, narcissism is stressed most in research so far. It relates to firm performance, risk, and leadership behavior, whereas Machiavellianism and psychopathy relate to opportunity recognition and exploitation. We also identify several research gaps, which can be addressed in future research.}, language = {en} } @article{TongNikoloski2020, author = {Tong, Hao and Nikoloski, Zoran}, title = {Machine learning approaches for crop improvement}, series = {Journal of plant physiology : biochemistry, physiology, molecular biology and biotechnology of plants}, volume = {257}, journal = {Journal of plant physiology : biochemistry, physiology, molecular biology and biotechnology of plants}, publisher = {Elsevier}, address = {M{\"u}nchen}, issn = {0176-1617}, doi = {10.1016/j.jplph.2020.153354}, pages = {13}, year = {2020}, abstract = {Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of the breeding cycle in major crops relevant for sustaining present demands for food, feed, and fuel. In contrast to classical approaches that emphasize the need for resource-intensive phenotyping at all stages of artificial selection, genomic selection dramatically reduces the need for phenotyping. Genomic selection relies on advances in machine learning and the availability of genotyping data to predict agronomically relevant phenotypic traits. Here we provide a systematic review of machine learning approaches applied for genomic selection of single and multiple traits in major crops in the past decade. We emphasize the need to gather data on intermediate phenotypes, e.g. metabolite, protein, and gene expression levels, along with developments of modeling techniques that can lead to further improvements of genomic selection. In addition, we provide a critical view of factors that affect genomic selection, with attention to transferability of models between different environments. Finally, we highlight the future aspects of integrating high-throughput molecular phenotypic data from omics technologies with biological networks for crop improvement.}, language = {en} } @misc{RomeroMunozFandosBenitezLopezetal.2020, author = {Romero-Munoz, Alfredo and Fandos, Guillermo and Ben{\´i}tez-L{\´o}pez, Ana and Kuemmerle, Tobias}, title = {Habitat destruction and overexploitation drive widespread declines in all facets of mammalian diversity in the Gran Chaco}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {4}, issn = {1866-8372}, doi = {10.25932/publishup-56769}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-567696}, pages = {15}, year = {2020}, abstract = {Global biodiversity is under high and rising anthropogenic pressure. Yet, how the taxonomic, phylogenetic, and functional facets of biodiversity are affected by different threats over time is unclear. This is particularly true for the two main drivers of the current biodiversity crisis: habitat destruction and overexploitation. We provide the first long-term assessment of multifaceted biodiversity changes caused by these threats for any tropical region. Focussing on larger mammals in South America's 1.1 million km(2) Gran Chaco region, we assessed changes in multiple biodiversity facets between 1985 and 2015, determined which threats drive those changes, and identified remaining key areas for all biodiversity facets. Using habitat and threat maps, we found, first, that between 1985 and 2015 taxonomic (TD), phylogenetic (PD) and functional (FD) diversity all declined drastically across over half of the area assessed. FD declined about 50\% faster than TD and PD, and these declines were mainly driven by species loss, rather than species turnover. Second, habitat destruction, hunting, and both threats together contributed similar to 57\%, similar to 37\%, and similar to 6\% to overall facet declines, respectively. However, hunting pressure increased where TD and PD declined most strongly, whereas habitat destruction disproportionally contributed to FD declines. Third, just 23\% of the Chaco would have to be protected to safeguard the top 17\% of all three facets. Our findings uncover a widespread impoverishment of mammal species richness, evolutionary history, and ecological functions across broad areas of the Chaco due to increasing habitat destruction and hunting. Moreover, our results pinpoint key areas that should be preserved and managed to maintain all facets of mammalian diversity across the Chaco. More generally, our work highlights how long-term changes in biodiversity facets can be assessed and attributed to specific threats, to better understand human impacts on biodiversity and to guide conservation planning to mitigate them.}, language = {en} } @article{RomeroMunozFandosBenitezLopezetal.2020, author = {Romero-Munoz, Alfredo and Fandos, Guillermo and Ben{\´i}tez-L{\´o}pez, Ana and Kuemmerle, Tobias}, title = {Habitat destruction and overexploitation drive widespread declines in all facets of mammalian diversity in the Gran Chaco}, series = {Global change biology}, volume = {27}, journal = {Global change biology}, number = {4}, publisher = {Wiley}, address = {Hoboken}, issn = {1354-1013}, doi = {10.1111/gcb.15418}, pages = {755 -- 767}, year = {2020}, abstract = {Global biodiversity is under high and rising anthropogenic pressure. Yet, how the taxonomic, phylogenetic, and functional facets of biodiversity are affected by different threats over time is unclear. This is particularly true for the two main drivers of the current biodiversity crisis: habitat destruction and overexploitation. We provide the first long-term assessment of multifaceted biodiversity changes caused by these threats for any tropical region. Focussing on larger mammals in South America's 1.1 million km(2) Gran Chaco region, we assessed changes in multiple biodiversity facets between 1985 and 2015, determined which threats drive those changes, and identified remaining key areas for all biodiversity facets. Using habitat and threat maps, we found, first, that between 1985 and 2015 taxonomic (TD), phylogenetic (PD) and functional (FD) diversity all declined drastically across over half of the area assessed. FD declined about 50\% faster than TD and PD, and these declines were mainly driven by species loss, rather than species turnover. Second, habitat destruction, hunting, and both threats together contributed similar to 57\%, similar to 37\%, and similar to 6\% to overall facet declines, respectively. However, hunting pressure increased where TD and PD declined most strongly, whereas habitat destruction disproportionally contributed to FD declines. Third, just 23\% of the Chaco would have to be protected to safeguard the top 17\% of all three facets. Our findings uncover a widespread impoverishment of mammal species richness, evolutionary history, and ecological functions across broad areas of the Chaco due to increasing habitat destruction and hunting. Moreover, our results pinpoint key areas that should be preserved and managed to maintain all facets of mammalian diversity across the Chaco. More generally, our work highlights how long-term changes in biodiversity facets can be assessed and attributed to specific threats, to better understand human impacts on biodiversity and to guide conservation planning to mitigate them.}, language = {en} } @article{LehmannZhengRyoetal.2020, author = {Lehmann, Anika and Zheng, Weishuang and Ryo, Masahiro and Soutschek, Katharina and Roy, Julien and Rongstock, Rebecca and Maaß, Stefanie and Rillig, Matthias C.}, title = {Fungal traits important for soil aggregation}, series = {Frontiers in microbiology}, volume = {10}, journal = {Frontiers in microbiology}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {1664-302X}, doi = {10.3389/fmicb.2019.02904}, pages = {13}, year = {2020}, abstract = {Soil structure, the complex arrangement of soil into aggregates and pore spaces, is a key feature of soils and soil biota. Among them, filamentous saprobic fungi have well-documented effects on soil aggregation. However, it is unclear what properties, or traits, determine the overall positive effect of fungi on soil aggregation. To achieve progress, it would be helpful to systematically investigate a broad suite of fungal species for their trait expression and the relation of these traits to soil aggregation. Here, we apply a trait-based approach to a set of 15 traits measured under standardized conditions on 31 fungal strains including Ascomycota, Basidiomycota, and Mucoromycota, all isolated from the same soil. We find large differences among these fungi in their ability to aggregate soil, including neutral to positive effects, and we document large differences in trait expression among strains. We identify biomass density, i.e., the density with which a mycelium grows (positive effects), leucine aminopeptidase activity (negative effects) and phylogeny as important factors explaining differences in soil aggregate formation (SAF) among fungal strains; importantly, growth rate was not among the important traits. Our results point to a typical suite of traits characterizing fungi that are good soil aggregators, and our findings illustrate the power of employing a trait-based approach to unravel biological mechanisms underpinning soil aggregation. Such an approach could now be extended also to other soil biota groups. In an applied context of restoration and agriculture, such trait information can inform management, for example to prioritize practices that favor the expression of more desirable fungal traits.}, language = {en} } @article{HesselbarthAlnoorTiberius2023, author = {Hesselbarth, Imke and Alnoor, Alhamzah and Tiberius, Victor}, title = {Behavioral strategy}, series = {Management decision}, volume = {61}, journal = {Management decision}, number = {9}, publisher = {Emerald}, address = {Bingley}, issn = {0025-1747}, doi = {10.1108/MD-09-2021-1274}, pages = {2740 -- 2756}, year = {2023}, abstract = {Purpose: Behavioral strategy, as a cognitive- and social-psychological view on strategic management, has gained increased attention. However, its conceptualization is still fuzzy and deserves an in-depth investigation. The authors aim to provide a holistic overview and classification of previous research and identify gaps to be addressed in future research. Design/methodology/approach: The authors conducted a systematic literature review on behavioral strategy. The final sample includes 46 articles from leading management journals, based on which the authors develop a research framework. Findings: The results reveal cognition and traits as major internal factors. Besides, organizational and environmental contingencies are major external factors of behavioral strategy. Originality/value: To the authors' best knowledge, this is the first holistic systematic literature review on behavioral strategy, which categorizes previous research.}, language = {en} }