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The Agri-Food and Biosciences Institute Repository collects, preserves, and makes freely available research outputs and related documents created by AFBI researchers, including peer-reviewed articles and conference papers. Where material has already been published it is made available subject to the open-access policies of the original publishers. About AFBI
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A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v1)
(Copernicus Publications, 2024-02-27) Lønborg, Christian; Carreira, Cátia; Abril, Gwenaël; Agustí, Susana; Amaral, Valentina; Andersson, Agneta; Arístegui, Javier; Bhadury, Punyasloke; Bif, Mariana B.; Borges, Alberto V.; Bouillon, Steven; Calleja, Maria Ll.; Cotovicz Jr., Luiz C.; Cozzi, Stefano; Doval, Maryló; Duarte, Carlos M.; Eyre, Bradley; Fichot, Cédric G.; García-Martín, E. Elena; Garzon-Garcia, Alexandra; Giani, Michele; Gonçalves-Araujo, Rafael; Gruber, Renee; Hansell, Dennis A.; Hashihama, Fuminori; He, Ding; Holding, Johnna M.; Hunter, William; Ibánhez, J. Severino P.; Ibello, Valeria; Jiang, Shan; Kim, Guebuem; Klun, Katja; Kowalczuk, Piotr; Kubo, Atsushi; Lee, Choon-Weng; Lopes, Cláudia B.; Maggioni, Federica; Magni, Paolo; Marrase, Celia; Martin, Patrick; McCallister, S. Leigh; McCallum, Roisin; Medeiros, Patricia M.; Morán, Xosé Anxelu G.; Muller-Karger, Frank E.; Myers-Pigg, Allison; Norli, Marit; Oakes, Joanne M.; Osterholz, Helena; Park, Hyekyung; Paulsen, Maria Lund; Rosentreter, Judith A.; Ross, Jeff D.; Rueda-Roa, Digna; Santinelli, Chiara; Shen, Yuan; Teira, Eva; Tinta, Tinkara; Uher, Guenther; Wakita, Masahide; Ward, Nicholas; Watanabe, Kenta; Xin, Yu; Yamashita, Youhei; Yang, Liyang; Yeo, Jacob; Yuan, Huamao; Zheng, Qiang; Álvarez-Salgado, Xosé Antón; Fisheries and Aquatic Ecosystems
Measurements of dissolved organic carbon (DOC), nitrogen (DON), and phosphorus (DOP) concentrations are used to characterize the dissolved organic matter (DOM) pool and are important components of biogeochemical cycling in the coastal ocean. Here, we present the first edition of a global database (CoastDOM v1; available at https://doi.org/10.1594/PANGAEA.964012, Lønborg et al., 2023) compiling previously published and unpublished measurements of DOC, DON, and DOP in coastal waters. These data are complemented by hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables (e.g. chlorophyll a, inorganic nutrients) and the inorganic carbon system (e.g. dissolved inorganic carbon and total alkalinity). Overall, CoastDOM v1 includes observations of concentrations from all continents. However, most data were collected in the Northern Hemisphere, with a clear gap in DOM measurements from the Southern Hemisphere. The data included were collected from 1978 to 2022 and consist of 62 338 data points for DOC, 20 356 for DON, and 13 533 for DOP. The number of measurements decreases progressively in the sequence DOC > DON > DOP, reflecting both differences in the maturity of the analytical methods and the greater focus on carbon cycling by the aquatic science community. The global database shows that the average DOC concentration in coastal waters (average ± standard deviation (SD): 182±314 µmol C L−1; median: 103 µmol C L−1) is 13-fold higher than the average coastal DON concentration (13.6±30.4 µmol N L−1; median: 8.0 µmol N L−1), which is itself 39-fold higher than the average coastal DOP concentration (0.34±1.11 µmol P L−1; median: 0.18 µmol P L−1). This dataset will be useful for identifying global spatial and temporal patterns in DOM and will help facilitate the reuse of DOC, DON, and DOP data in studies aimed at better characterizing local biogeochemical processes; closing nutrient budgets; estimating carbon, nitrogen, and phosphorous pools; and establishing a baseline for modelling future changes in coastal waters.
Corrigendum: Bioinformatic Analysis of the Campylobacter jejuni Type VI Secretion System and Effector Prediction
(Frontiers Media, 2021-11-16) Robinson, Luca; Liaw, Janie; Omole, Zahra; Xia, Dong; van Vliet, Arnoud H. M.; Corcionivoschi, Nicolae; Hachani, Abderrahman; Gundogdu, Ozan; Animal Health and Welfare
A Corrigendum on
Bioinformatic Analysis of the Campylobacter jejuni Type VI Secretion System and Effector Prediction
by Robinson, L., Liaw, J., Omole, Z., Xia, D., van Vliet, A. H. M., Corcionivoschi, N., Hachani, A., and Gundogdu, O. (2021). Front. Microbiol. 12:694824. doi: 10.3389/fmicb.2021.694824
Corrigendum: Spatial and temporal environmental heterogeneity induced by internal tides influences faunal patterns on vertical walls within a submarine canyon
(Frontiers Media, 2023-11-07) Pearman, Tabitha R. R.; Robert, Katleen; Callaway, Alexander; Hall, Rob A.; Mienis, Furu; Iacono, Claudio Lo; Huvenne, Veerle A. I.; Fisheries and Aquatic Ecosystems
A Corrigendum on:
Spatial and temporal environmental heterogeneity induced by internal tides influences faunal patterns on vertical walls within a submarine canyon.
By Pearman TRR, Robert K, Callaway A, Hall RA, Mienis F, Lo Iacono C and Huvenne VAI (2023) Front. Mar. Sci. 10:1091855. doi: 10.3389/fmars.2023.1091855
Investigating the Drivers of Farmers’ Engagement in a Participatory Extension Programme: The Case of Northern Ireland Business Development Groups
(MDPI, 2020-06-02) Jack, Claire; Adenuga, Adewale; Ashfield, Austen; Wallace, Michael; Economics
Participatory agricultural extension programmes aimed at encouraging knowledge transfer and the adoption of new technology and innovation at the farm level are a novel approach to advisory service provision. In order to drive sustainable agricultural production systems that address farm-level economic and environmental objectives, the College of Agriculture, Food and Rural Enterprise (CAFRE) in November 2015, developed a new participatory extension programme for farmers in Northern Ireland, the Business Development Groups (BDGs). The purpose of this paper is to examine and analyse the drivers of farmers’ decisions in relation to joining and participating in this new approach to farm extension, learning and advisory service provision. Making use of data from both primary and secondary sources, this study employs a mixed-methods approach which involves an empirical analysis of quantitative and qualitative data to examine the factors influencing membership of the BDG programme. The results of our analyses show that larger, more intensive farmers who are keen to access information from other farmers to improve their business performance are most likely to participate in the BDG programme. The study contributes to the empirical literature by establishing the need to take into consideration the different characteristics of farmers in the design and delivery of participatory extension programmes.
Investigating Farm Fragmentation as a Risk Factor for Bovine Tuberculosis in Cattle Herds: A Matched Case-Control Study from Northern Ireland
(MDPI, 2022-02-26) Milne, Georgina; Graham, Jordon; McGrath, John; Kirke, Raymond; McMaster, Wilma; Byrne, Andrew William; Animal Health and Welfare
Bovine tuberculosis remains a challenging endemic pathogen of cattle in many parts of the globe. Spatial clustering of Mycoacterium bovis molecular types in cattle suggests that local factors are the primary drivers of spread. Northern Ireland’s agricultural landscape is comprised of highly fragmented farms, distributed across spatially discontinuous land parcels, and these highly fragmented farms are thought to facilitate localised spread. We conducted a matched case control study to quantify the risks of bovine tuberculosis breakdown with farm area, farm fragmentation, fragment dispersal, and contact with neighbouring herds. Whilst our results show small but significant increases in breakdown risk associated with each factor, these relationships were strongly confounded with the number of contiguous neighbours with bovine tuberculosis. Our key finding was that every infected neighbour led to an increase in the odds of breakdown by 40% to 50%, and that highly fragmented farms were almost twice as likely to have a bTB positive neighbour compared to nonfragmented farms. Our results suggest that after controlling for herd size, herd type, spatial and temporal factors, farm fragmentation increasingly exposes herds to infection originating from first-order spatial neighbours. Given Northern Ireland’s particularly fragmented landscape, and reliance on short-term leases, our data support the hypothesis that between-herd contiguous spread is a particularly important component of the region’s bovine tuberculosis disease system.