Reporting to the Convention on Biology Diversity: How are countries assessing and protecting their genetic diversity?

Hoban, S.; Campbell, C.; da Silva, J.; Ekblom, R.; Funk, W. C.; Garner, B.; Godoy, J. A.; Kershaw, F.; MacDonald, A.; Mergeay, J.; Minter, M.; O'Brien, D.; Paz-Vinas, I.; Pearson, S. K.; Perez-Espona, S.; Potter, K.; Russo, I.-R.; Segelbacher, G.; Vernesi, C.; Hunter, M.

doi:10.1101/2020.08.28.254672

Home/Archive/bioRxiv

bioRxiv · 10.1101/2020.08.28.254672

Reporting to the Convention on Biology Diversity: How are countries assessing and protecting their genetic diversity?

View original source ↗Export metadata ↓

Abstract

Genetic diversity is critically important for all species-domesticated and wild- to adapt to environmental change, and for ecosystem resilience to extreme events. International agreements such as the Convention on Biological Diversity (CBD) have committed to conserve and sustainably and equitably use all levels of biodiversity-genes, species and ecosystems-globally. However, assessment and monitoring of genetic diversity are often overlooked, and there are large knowledge and policy gaps regarding genetic diversity conservation. In this study, we present the first quantitative analysis of genetic diversity assessments conducted by Parties to the CBD. We conducted a detailed, systematic analysis of 114 CBD 5th (submitted 2014) and 6th (submitted 2018) National Reports to quantitatively assess actions, progress on targets, values and indicators related to genetic diversity. First, we found that the importance of genetic diversity is recognised by most Parties to the CBD, and that recognition increased over time. However, genetic targets mainly addressed genetic diversity within cultivated plants, farm animals, and crop wild relatives, with little focus on other wild species. Also, actions for conserving genetic diversity primarily concerned ex-situ facilities and policy, rather than monitoring and intervention for maintaining genetic diversity in situ. The most commonly used indicators of genetic diversity status were the number of genetic resources in conservation facilities, number of threatened breeds, and Red List Index, which are not well correlated to genetic erosion in most species -- highlighting that genetic change is poorly monitored by current indicators. Lastly, analyses of genetic data observations, indigenous use and knowledge of genetic diversity, and strategies being developed and implemented to conserve genetic diversity are highly under-reported. We make several recommendations for the post-2020 CBD Biodiversity Framework to improve awareness, assessment, and monitoring, and facilitate consistent and complete reporting of progress of genetic diversity in future National Reports. Article Impact StatementAn analysis of genetic diversity in CBD National Reports neglects non-domesticated species and demonstrates need for sufficient indicators.

Explore related subjects

scientific communication and education Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Hoban, S., Campbell, C., da Silva, J., Ekblom, R., Funk, W. C., Garner, B., Godoy, J. A., Kershaw, F., MacDonald, A., Mergeay, J., Minter, M., O'Brien, D., Paz-Vinas, I., Pearson, S. K., Perez-Espona, S., Potter, K., Russo, I.-R., Segelbacher, G., Vernesi, C., Hunter, M.. 2020-08-31. Reporting to the Convention on Biology Diversity: How are countries assessing and protecting their genetic diversity?. https://doi.org/10.1101/2020.08.28.254672

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Evaluating Large Language Models as Tools to Navigate Researchers in Rapidly Evolving Research Landscapes: A Case Study in Cancer Drug Response Prediction

Large Language Models (LLMs) have emerged as promising tools for assisting researchers in automating and accelerating the synthesis of literature reviews. However, their reliability is a significant concern due to issues like factual inaccuracies and hallucinations. The key question is whether LLMs can reliably provide comprehensive, up-to-date overviews and analyses. This study evaluates the performance of three leading LLMs (OpenAI's ChatGPT, Google's Gemini, and DeepSeek) on the complex task of generating a comprehensive survey paper on deep learning for cancer Drug Response Prediction (DRP). By testing both standard and Deep Research (DR) / Deep Think (DT) modes of LLMs with prompts of varying detail, this paper assesses key academic dimensions, including reference management, content quality, and analytical depth. Key findings reveal that while DR modes of LLMs significantly improve reliability by eliminating hallucinations, performance variations exist across models and prompts. A trade-off between reference quantity and integration quality was observed, and even the best-performing models lacked the analytical depth of human experts, often requiring extensive human supervision. The study concludes that LLMs currently serve as powerful assistive tools but still cannot replace the critical validation and synthesis provided by human researchers. Choosing the best LLM to use depends on the task in hand, while several strategies can be implemented to improve the produced output.

scientific communication and education↗

bioRxiv2020

Risk perceptions and preventive practices of COVID-19 among healthcare professionals in public hospitals in Ethiopia

Healthcare professionals are at higher risk of contracting the novel coronavirus due to their work exposure in the healthcare settings. Practicing appropriate preventive measures to control COVID-19 infection is one of the most important interventions that healthcare workers are expected to use. The aim of this study was to assess the level of risk perception and practices of preventive measures of COVID-19 among health workers in Addis Ababa, Ethiopia. A hospital-based cross-sectional study was conducted from 9th to 26th June 2020 among healthcare professionals working at six public hospitals in Addis Ababa. Data were collected using a self-administered structured questionnaire. Frequency, percentage, and mean were used to summarize the data. A binary logistic regression analyses were performed to identify factors associated with risk perception about COVID-19. A total of 1,134 participants were surveyed. Wearing facemask (93%), hand washing for at least 20 seconds (93%), covering mouth and nose while coughing or sneezing (91%), and avoiding touching eyes, nose, and mouth (91%) were the commonly self-reported preventive practices. About 88% perceived that they were worried about the risk of becoming infected with coronavirus, and majority (91%) worried about the risk of infection to their family. The mean score of overall fear and worry of COVID-19 was 2.37 on a scale of 1 to 3. Respondents who ever provided clinical care to COVID-19 patients were more likely to report fear and worry (adjusted OR=1.34, 95% CI:1.02-1.91), however those who ever participated in Ebola or SARS outbreaks were less likely to report fear and worry due to COVID-19 crisis (adjusted OR=0.66, 95% CI:0.48-0.90). This study has revealed widespread practices of preventive measures and the highest perceived risk of COVID-19 among healthcare workers. Therefore, an effective risk communication intervention should be implemented to ensure the maintenance of appropriate practices during the current COVID-19 pandemic.

scientific communication and education↗

bioRxiv2020

Relating farmers perceptions to long term dynamics in maize (Zea mays L.) production: The production of improved maize is coming to a standstill in central Malawi

Maize production, area and yield dynamics were assessed based on farmer perceptions and production data from 2004/05-2018/19 using 36 000 households in Salima, central Malawi. The results showed that farmers used 16, six and two varieties for hybrid, Open-pollinated varieties (OPV) and local maize respectively. Farmers sourced Hybrid and OPV maize seed from Private Agro dealers while local maize was own-sourced. Farmers preferred local maize for being cheap, good taste, low storage costs, and pest resistance although low yielding. They preferred hybrid and OPV maize for high yielding and early maturity despite demanding high storage costs, pest susceptibility, and low flour. From 2004/05-2018/19, the area under local and OPV maize reduced by 61% and 12% respectively, while that of hybrid maize increased by 49%. However, the consistent decrease in area for hybrid and OPV and significant increase of that of local maize from 2014/15-2018/19 may signal a catastrophic maize production in the region. From 2019/20-2025/26 production of all maize was projected at 44 172 tons by 2025/26, representing a 1.6% increase from the base year 2019/20. This increase will be due to favorable climatic conditions and not increase in area or yield. If maize yield was improved by 30% production would increase to 110 430 tons representing 67% of the food requirement in the study area. The current maize production trend in Salima does not guarantee food security prospects. Therefore, policymakers should consider reviewing the past interventions (input pricing, promotion strategies, sustainable practices, policies) in the maize subsector to enhance maize productivity.

scientific communication and education↗