title: Biotic interactions are an unexpected yet critical control on the complexity of an abiotically driven polar ecosystem.

authors: Lee, Charles Kai-Wu

abstract: Abiotic and biotic factors control ecosystem biodiversity, but their relative contributions remain unclear. The ultraoligotrophic ecosystem of the Antarctic Dry Valleys, a simple yet highly heterogeneous ecosystem, is a natural laboratory well-suited for resolving the abiotic and biotic controls of community structure. We undertook a multidisciplinary investigation to capture ecologically relevant biotic and abiotic attributes of more than 500 sites in the Dry Valleys, encompassing observed landscape heterogeneities across more than 200 km². Using richness of autotrophic and heterotrophic taxa as a proxy for functional complexity, we linked measured variables in a parsimonious yet comprehensive structural equation model that explained significant variations in biological complexity and identified landscape-scale and fine-scale abiotic factors as the primary drivers of diversity. However, the inclusion of linkages among functional groups was essential for constructing the best-fitting model. Our findings support the notion that biotic interactions make crucial contributions even in an extremely simple ecosystem.

text: Biotic interactions are an unexpected yet critical control on the complexity of an abiotically driven polar ecosystem. Abiotic and biotic factors control ecosystem biodiversity, but their relative contributions remain unclear. The ultraoligotrophic ecosystem of the Antarctic Dry Valleys, a simple yet highly heterogeneous ecosystem, is a natural laboratory well-suited for resolving the abiotic and biotic controls of community structure. We undertook a multidisciplinary investigation to capture ecologically relevant biotic and abiotic attributes of more than 500 sites in the Dry Valleys, encompassing observed landscape heterogeneities across more than 200 km². Using richness of autotrophic and heterotrophic taxa as a proxy for functional complexity, we linked measured variables in a parsimonious yet comprehensive structural equation model that explained significant variations in biological complexity and identified landscape-scale and fine-scale abiotic factors as the primary drivers of diversity. However, the inclusion of linkages among functional groups was essential for constructing the best-fitting model. Our findings support the notion that biotic interactions make crucial contributions even in an extremely simple ecosystem.

year: 2019

title: The impact of a product-harm crisis on marketing effectiveness

authors: van Heerde, Harald J.

subjects: brand management

abstract: Product-harm crises are among a firm’s worst nightmares. A firm may experience (i) a loss in baseline sales, (ii) a reduced own effectiveness for its marketing instruments, (iii) an increased cross sensitivity to rival firms’ marketing-mix activities, and (iv) a decreased cross impact of its marketing-mix instruments on the sales of competing, unaffected brands. We find that this quadruple jeopardy materialized in a case study of an Australian product-harm crisis faced by Kraft peanut butter. We arrive at this conclusion by using a time-varying error-correction model that quantifies the consequences of this crisis on base sales, and on own- and cross-brand short- and long-term effectiveness. The proposed modeling approach allows managers to make more informed decisions on how to regain the brands’ pre-crisis performance levels.

text: The impact of a product-harm crisis on marketing effectiveness Product-harm crises are among a firm’s worst nightmares. A firm may experience (i) a loss in baseline sales, (ii) a reduced own effectiveness for its marketing instruments, (iii) an increased cross sensitivity to rival firms’ marketing-mix activities, and (iv) a decreased cross impact of its marketing-mix instruments on the sales of competing, unaffected brands. We find that this quadruple jeopardy materialized in a case study of an Australian product-harm crisis faced by Kraft peanut butter. We arrive at this conclusion by using a time-varying error-correction model that quantifies the consequences of this crisis on base sales, and on own- and cross-brand short- and long-term effectiveness. The proposed modeling approach allows managers to make more informed decisions on how to regain the brands’ pre-crisis performance levels.

year: 2007

title: Traditional Knowledge (TK) Labels Transforming Data Infrastructure to Recognise Indigenous Provenance

authors: Hudson, Maui

subjects: Data

abstract: Associate Professor Maui Hudson, KatieLee Riddle and Dr Janette Hamilton-Pearce introduced the latest developments and applications of the Traditional Knowledge Labels and the Local Contexts Hub with examples of use by researchers in Aotearoa New Zealand.

text: Traditional Knowledge (TK) Labels Transforming Data Infrastructure to Recognise Indigenous Provenance Associate Professor Maui Hudson, KatieLee Riddle and Dr Janette Hamilton-Pearce introduced the latest developments and applications of the Traditional Knowledge Labels and the Local Contexts Hub with examples of use by researchers in Aotearoa New Zealand.

year: 2022-09-27