Dataset Information

Using genomic information for management planning of an endangered perennial, Viola uliginosa.

ABSTRACT: Species occupying habitats subjected to frequent natural and/or anthropogenic changes are a challenge for conservation management. We studied one such species, Viola uliginosa, an endangered perennial wetland species typically inhabiting sporadically flooded meadows alongside rivers/lakes. In order to estimate genomic diversity, population structure, and history, we sampled five sites in Finland, three in Estonia, and one each in Slovenia, Belarus, and Poland using genomic SNP data with double-digest restriction site-associated DNA sequencing (ddRAD-seq). We found monophyletic populations, high levels of inbreeding (mean population F SNP = 0.407-0.945), low effective population sizes (N e = 0.8-50.9), indications of past demographic expansion, and rare long-distance dispersal. Our results are important in implementing conservation strategies for V. uliginosa, which should include founding of seed banks, ex situ cultivations, and reintroductions with individuals of proper origin, combined with continuous population monitoring and habitat management.

SUBMITTER: Lee KM

PROVIDER: S-EPMC7069310 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Using genomic information for management planning of an endangered perennial, <i>Viola uliginosa</i>.

Lee Kyung Min KM Ranta Pertti P Saarikivi Jarmo J Kutnar Lado L Vreš Branko B Dzhus Maxim M Mutanen Marko M Kvist Laura L

Ecology and evolution 20200217 5

Species occupying habitats subjected to frequent natural and/or anthropogenic changes are a challenge for conservation management. We studied one such species, <i>Viola uliginosa</i>, an endangered perennial wetland species typically inhabiting sporadically flooded meadows alongside rivers/lakes. In order to estimate genomic diversity, population structure, and history, we sampled five sites in Finland, three in Estonia, and one each in Slovenia, Belarus, and Poland using genomic SNP data with d ...[more]

PMID: 32185008

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Project description:BackgroundHealth management information systems (HMIS) are instrumental in addressing health delivery problems and strengthening health sectors by generating credible evidence about the health status of clients. There is paucity of studies which have explored possibilities for integrating family planning data from the public and private health sectors in Uganda's national HMIS. This study sought to investigate the facilitators, best practices and barriers of integrating family planning data into the district and national HMIS in Uganda.MethodsWe conducted a qualitative study in Kampala, Jinja, and Hoima Districts of Uganda, based on 16 key informant interviews and a multi-stakeholder dialogue workshop with 11 participants. Deductive and inductive thematic methods were used to analyze the data.ResultsThe technical facilitators of integrating family planning data from public and private facilities in the national and district HMIS were user-friendly software; web-based and integrated reporting; and availability of resources, including computers. Organizational facilitators included prioritizing family planning data; training staff; supportive supervision; and quarterly performance review meetings. Key behavioral facilitators were motivation and competence of staff. Collaborative networks with implementing partners were also found to be essential for improving performance and sustainability. Significant technical barriers included limited supply of computers in lower level health facilities, complex forms, double and therefore tedious entry of data, and web-reporting challenges. Organizational barriers included limited human resources; high levels of staff attrition in private facilities; inadequate training in data collection and use; poor culture of information use; and frequent stock outs of paper-based forms. Behavioral barriers were low use of family planning data for planning purposes by district and health facility staff.ConclusionFamily planning data collection and reporting are integrated in Uganda's district and national HMIS. Best practices included integrated reporting and performance review, among others. Limited priority and attention is given to family planning data collection at the facility and national levels. Data are not used by the health facilities that collect them. We recommend reviewing and tailoring data collection forms and ensuring their availability at health facilities. All staff involved in data reporting should be trained and regularly supervised.

Dataset Information

Using genomic information for management planning of an endangered perennial, Viola uliginosa.

Publications

Using genomic information for management planning of an endangered perennial, <i>Viola uliginosa</i>.

Similar Datasets

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