Welcome to the Publications webpage of the UPSCALE Knowledge Exchange Hub! Here, you will find a diverse collection of publications covering topics such as sustainable intensification, nature-based solutions, climate-smart agriculture, smallholder farming, socioeconomic and political dynamics, and push-pull technology. Dive into a wealth of research papers, articles, and case studies that offer valuable insights and contribute to the knowledge base of agriculture. Explore the forefront of innovation and gain a deeper understanding of the complexities and opportunities within the field. Discover the power of knowledge as we strive to create a sustainable and resilient future for agriculture.
Large-scale monitoring programmes often make inferences about insect abundance based on count data collected using some probability-based sampling technique.
Researchers and regulatory agencies often make statistical inferences from insect count data using modelling approaches that assume homogeneous variance.
Traditional occupancy–abundance and abundance–variance–occupancy models do not take into account zero-inflation, which occurs when sampling rare species or in correlated counts arising from repeated measures.
Recent studies show that soil animal count data are characterized by the presence of excess zeros and overdispersion, which violate the assumptions of standard statistical tests.
Analysis of variance (ANOVA) has been a fundamental method used for analysis of abundance and incidence data.
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