I argue that ecological data analyses are often needlessly complicated, and I present two examples of published analyses for which simpler alternatives are available. Unnecessary complexity is often introduced when analysts focus on subunits of the key experimental or observational units in a study, or use a very general framework to present an analysis that is a simple special case. Simpler analyses are easier to explain and understand; they clarify what the key units in a study are; they reduce the chances for computational mistakes; and they are more likely to lead to the same conclusions when applied by different analysts to the same data.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1890/0012-9658(2007)88[56:sacied]2.0.co;2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
De novo transcriptome assembly and discovery of drought-responsive genes in white spruce (Picea glauca).
PLoS One
January 2025
Département des Sciences Naturelles, Institut des Sciences de la Forêt Tempérée (ISFORT), Université du Québec en Outaouais (UQO), Ripon, Canada.
Forests face an escalating threat from the increasing frequency of extreme drought events driven by climate change. To address this challenge, it is crucial to understand how widely distributed species of economic or ecological importance may respond to drought stress. In this study, we examined the transcriptome of white spruce (Picea glauca (Moench) Voss) to identify key genes and metabolic pathways involved in the species' response to water stress.
View Article and Find Full Text PDFEcological insights into the microbiology of food using metagenomics and its potential surveillance applications.
Microb Genom
January 2025
Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
A diverse array of micro-organisms can be found on food, including those that are pathogenic or resistant to antimicrobial drugs. Metagenomics involves extracting and sequencing the DNA of all micro-organisms on a sample, and here, we used a combination of culture and culture-independent approaches to investigate the microbial ecology of food to assess the potential application of metagenomics for the microbial surveillance of food. We cultured common foodborne pathogens and other organisms including , spp.
View Article and Find Full Text PDFRegulatory failure to monitor and manage the impacts of tailings spills, Alberta, Canada.
Environ Monit Assess
January 2025
Treeline Ecological Research, 21551 Twp Rd 520, Sherwood Park, Alberta, T8E 1E3, Canada.
Based on analysis of documents obtained in public databases and under freedom of information requests, this study assessed the Alberta Energy Regulator's (AER) monitoring and management of bitumen tailings spills. The AER's claims of no environmental impacts at any tailings spills lack corroborative environmental data. Claims of perfect spill recovery in 75% of tailings spills are not supported by credible evidence.
View Article and Find Full Text PDFPedestrian thermal comfort mapping for evidence-based urban planning; an interdisciplinary and user-friendly mobile approach for the case study of Dresden, Germany.
Int J Biometeorol
January 2025
Division 4- Natural and Built Environment, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
In the face of climate change and increasing urbanisation, ensuring outdoor thermal comfort is becoming an increasingly crucial consideration for sustainable urban planning. However, informed decision-making is limited by the challenge of obtaining high-resolution thermal comfort data. This study introduces an interdisciplinary, low-resource, and user-friendly methodology for thermal comfort mapping, employing a self-built low-cost meteorological device for mobile climate monitoring.
View Article and Find Full Text PDFSpatiotemporal characteristics and dynamic prediction of agricultural carbon compensation potential in the middle and lower reaches of the Yellow River Basin.
Environ Sci Pollut Res Int
January 2025
College of Science, Inner Mongolia University of Technology, Hohhot, 015000, China.
Climate change, driven by carbon emissions, has emerged as a pressing global ecological and environmental challenge. Here, we leverage the panel data of five provinces and above prefecture-level cities in the middle and lower reaches of the Yellow River Basin to estimate the agricultural carbon emissions (CEs), carbon sinks (CSs), carbon compensation rate (CCR), and carbon compensation potential (CCP) from 2001 to 2022 and investigate the spatiotemporal evolution characteristics for this region. We propose an improved GLM-stacking ensemble learning method for CE prediction with limited sample data.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!