Jordi Tablada, Shane W. Geange, Fabrice Stephenson
Representativity within marine protection and planning refers to the principle of ensuring that the full range of biodiversity and ecosystems (and the species that they support) in a particular region is included in a network of marine protected areas (MPA). The New Zealand Seafloor Community Classification (NZSCC), which was developed to support MPA planning and reporting at a national scale, depicts compositional turnover of 1716 taxa (demersal fish, reef fish, benthic invertebrates and macroalgae) classified in 75 groups representing seafloor communities. Here, we use the NZSCC to evaluate representativity of benthic communities within current spatial management areas across New Zealand's marine environment based on the extent of each group within spatial management areas, estimates of within- and between-group similarities and taxonomic richness. Results suggest that while offshore, deep-water communities in general are well represented within current spatial management areas (notably those communities predicted to occur below fishable depths), 46 of the 75 groups, predominantly coastal and continental shelf groups, were inadequately represented. The use of within- and between-group similarities is a significant improvement on assessments that only look at extent protected because they allow the identification of those areas that are the most representative of each group but also consideration of which groups are most dissimilar (unique) to all other groups already protected.
{"title":"Evaluating Representativity of Marine Spatial Management Areas Using the New Zealand Seafloor Community Classification","authors":"Jordi Tablada, Shane W. Geange, Fabrice Stephenson","doi":"10.1002/aqc.70247","DOIUrl":"https://doi.org/10.1002/aqc.70247","url":null,"abstract":"<p>Representativity within marine protection and planning refers to the principle of ensuring that the full range of biodiversity and ecosystems (and the species that they support) in a particular region is included in a network of marine protected areas (MPA). The New Zealand Seafloor Community Classification (NZSCC), which was developed to support MPA planning and reporting at a national scale, depicts compositional turnover of 1716 taxa (demersal fish, reef fish, benthic invertebrates and macroalgae) classified in 75 groups representing seafloor communities. Here, we use the NZSCC to evaluate representativity of benthic communities within current spatial management areas across New Zealand's marine environment based on the extent of each group within spatial management areas, estimates of within- and between-group similarities and taxonomic richness. Results suggest that while offshore, deep-water communities in general are well represented within current spatial management areas (notably those communities predicted to occur below fishable depths), 46 of the 75 groups, predominantly coastal and continental shelf groups, were inadequately represented. The use of within- and between-group similarities is a significant improvement on assessments that only look at extent protected because they allow the identification of those areas that are the most representative of each group but also consideration of which groups are most dissimilar (unique) to all other groups already protected.</p>","PeriodicalId":55493,"journal":{"name":"Aquatic Conservation-Marine and Freshwater Ecosystems","volume":"35 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aqc.70247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frederico T. S. Tâmega, Márcio Alves Siqueira, Ricardo Coutinho
{"title":"A New Occurrence of Articuliths Beds in the Southwestern Atlantic","authors":"Frederico T. S. Tâmega, Márcio Alves Siqueira, Ricardo Coutinho","doi":"10.1002/aqc.70260","DOIUrl":"https://doi.org/10.1002/aqc.70260","url":null,"abstract":"","PeriodicalId":55493,"journal":{"name":"Aquatic Conservation-Marine and Freshwater Ecosystems","volume":"35 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Internet and social media use have increased significantly over the past decade, resulting in huge volumes of biodiversity data that are potentially cost-effective means to better inform biodiversity conservation and resource management. We examine the role of digital conservation in a data-poor context of the Global South, using sharks and rays in India as a case study. India is a top shark fishing nation characterised by few, disconnected species-specific research and conservation projects but lacks nation-scale conservation insights. We analysed 1293 elasmobranch-related posts and recorded 83 species from six social media and citizen science platforms. We identified two key dimensions of data—ecological and social (including politics and governance)—and tested the effectiveness of these data in mirroring or complementing scientific research. We found that digital platforms were (i) spatio-temporally better representative than scientific research, because they included 96 underrepresented regions and spanned 18 years, despite some biases; (ii) useful to detect the presence of data-poor and rare species; and (iii) effective to detect human–elasmobranch interactions and public perceptions towards sharks and rays, topics which are poorly represented in the scientific literature. We find that digital conservation can therefore be utilised to generate national-scale insights in regions with limited resources and site-specific data. It is also useful to fill socioecological data gaps to drive better management and increased public participation/awareness for conservation. The multidisciplinary nature of data emerging from digital conservation has high relevance for current and future conservation of species.
{"title":"Digital Conservation Can Fill Data Gaps in Data-Poor Regions: Case of Elasmobranchs in India","authors":"Shruthi Kottillil, Sudha Kottillil, Yarlagadda Chaitanya Krishna, Francesco Ferretti, Divya Karnad","doi":"10.1002/aqc.70241","DOIUrl":"https://doi.org/10.1002/aqc.70241","url":null,"abstract":"<p>Internet and social media use have increased significantly over the past decade, resulting in huge volumes of biodiversity data that are potentially cost-effective means to better inform biodiversity conservation and resource management. We examine the role of digital conservation in a data-poor context of the Global South, using sharks and rays in India as a case study. India is a top shark fishing nation characterised by few, disconnected species-specific research and conservation projects but lacks nation-scale conservation insights. We analysed 1293 elasmobranch-related posts and recorded 83 species from six social media and citizen science platforms. We identified two key dimensions of data—ecological and social (including politics and governance)—and tested the effectiveness of these data in mirroring or complementing scientific research. We found that digital platforms were (i) spatio-temporally better representative than scientific research, because they included 96 underrepresented regions and spanned 18 years, despite some biases; (ii) useful to detect the presence of data-poor and rare species; and (iii) effective to detect human–elasmobranch interactions and public perceptions towards sharks and rays, topics which are poorly represented in the scientific literature. We find that digital conservation can therefore be utilised to generate national-scale insights in regions with limited resources and site-specific data. It is also useful to fill socioecological data gaps to drive better management and increased public participation/awareness for conservation. The multidisciplinary nature of data emerging from digital conservation has high relevance for current and future conservation of species.</p>","PeriodicalId":55493,"journal":{"name":"Aquatic Conservation-Marine and Freshwater Ecosystems","volume":"35 11","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aqc.70241","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}