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1,071 results for “Mangroves”
Fig. 9 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 9. Distribution map of Ngirhaphium meieri, new species and Ngirhaphium thaicum, new species.
Fig. 7 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 7. Ngirhaphium meieri, new species, female habitus. Scale = 1 mm.
Fig. 6 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 6. Ngirhaphium meieri, new species, male habitus (photo: Abdulloh Samoh). Scale = 1 mm.
Fig. 3 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 3. Ngirhaphium thaicum, new species male habitus. Scale = 1 mm.
Fig. 4 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 4. Ngirhaphium thaicum, new species habitus female. Scale = 1 mm.
Fig. 5 in Two new species of mangrove Dolichopodidae from Bohol Island in the Philippines (Insecta: Diptera) and a checklist of the Dolichopodidae of the Philippines
Fig. 5. Thinophilus ronazeli Ramos & Grootaert sp. nov. Holotype male. Habitus, dorsal view.
Fig. 4 in Two new species of mangrove Dolichopodidae from Bohol Island in the Philippines (Insecta: Diptera) and a checklist of the Dolichopodidae of the Philippines
Fig. 4. Thinophilus ronazeli Ramos & Grootaert sp. nov. Holotype male. Habitus, lateral view.
Fig. 6 in Two new species of mangrove Dolichopodidae from Bohol Island in the Philippines (Insecta: Diptera) and a checklist of the Dolichopodidae of the Philippines
Fig. 6. Thinophilus ronazeli Ramos & Grootaert sp. nov. Paratype female. Habitus, lateral view.
Figs. 26–27 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 26–27. Elaphropeza melanuroides, new species, male habitus: 26, lateral; 27, dorsal.
Fig. 35–36 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Fig. 35–36. Elaphropeza pallida, new species, male habitus: 35, lateral; 36, dorsal.
Fig. 12 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Fig. 12. Elaphropeza bakau, new species, male habitus lateral.
Figs. 1–2 in New species of fast-running flies (Diptera: Empidoidea, Hybotidae, Tachydromiinae) from mangroves in Singapore
Figs. 1–2. Elaphropeza albicornis, new species, male 1, habitus lateral; 2, habitus dorsal.
Figs. 5–7 in Paraclius (Diptera: Dolichopodidae: Dolichopodinae) Of Singapore, With New Species From Mangroves
Figs. 5–7. Paraclius asiobates, new species: 5, antenna; 6, male genitalia; 7, surstyli.
Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils
<p>XRD data from different size fractions of Brazilian mangrove soils, supporting the manuscript entitled <strong><em>Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils, </em></strong>submitted to the journal <strong><em>Catena</em>.</strong></p>
Mangrove wetland restoration in China
<p><span>The large-scale conversion of natural mangroves to aquaculture reduces species richness and diversity. Large areas of abandoned aquaculture ponds in areas where mangroves formerly predominated in China and Southeast Asia represent important potential effective targets for mangrove restoration. Here, we empirically assessed the α-diversity (species richness) and β-diversity (variation in community composition) of mangrove, macrobenthos, fish, and waterbird in a tropical mangrove bay on Hainan Island, China. We compared sites subjected to different pond-to-mangrove restoration programs more than 20 years ago (passive restoration without planting, and active restoration with planting) to nearby reference site with natural mangrove forests and mudflats. To better understand how β-diversity responds to restoration, we also distinguished between β-diversity turnover and nestedness (richness difference). In general, α-diversity values for both fish and waterbird communities, and β-diversity values for the mangrove, macrobenthos, and waterbird communities were lower at the restoration sites than at the reference site, suggesting that the strong homogenizing effects of anthropogenic habitat alternation was still apparent after more than 20 years since aquaculture ceased. In addition, spatial turnover, not nestedness, dominated total β-diversity both across the whole study area and at individual sites, suggesting that multiple processes, such as environmental filtering, helped to shape multi-taxa community structures. Moreover, we found no evidence that planting in the abandoned ponds, in addition to standard hydrological restoration, supported greater species diversity of taxa like macrobenthos and waterbird than the naturally regenerated site after more than 20 years' recovery. Our results underline the importance of avoiding the conversion of natural mangrove stands to aquaculture wherever possible, and the urgent need to design effective mangrove restoration techniques in tropical Asia. </span></p>
Human-mediated dispersal redefines mangrove biogeography in the Anthropocene
<p><span><span><span>Introduction of species by humans breaks down biogeographic boundaries and results in the homogenization of species composition, yet empirical tests of this impact in marine forest ecosystems are still scarce. Large-scale planting aimed at reversing losses of mangroves has been the dominant strategy for mangrove restoration adopted by many organizations in the past decades, but there is a lack of quantitative understanding of the impacts of such large-scale plantings on mangrove biogeography. Here we used data collected before and after large-scale planting to compare the species richness and compositional similarities among 72 mangrove sites over a biogeographic scale (18-28 °N) in China. After the large-scale planting, 15 of the mangrove species spread towards the higher latitudes, reflecting the geographical barriers of the mangrove plants have been broken. Local species richness of mangrove increased by 44.82% and biogeographic compositional similarity of mangroves increased by 13.33%, reflecting large-scale introduction and planting increase local diversity of mangrove but enhance biological homogenization. The dispersal limitation of mangrove communities reduced by 11.1%, which indicates that the community assemblage process of mangrove changed obviously. Worryingly, two alien species, <i>Sonneratia apetala</i> and <i>Laguncularia racemose</i>, have dispersal across the biogeographic scale studied, reflecting an increase in the risk of biogeographic invasion. It is expected that biological homogeneity and species invasion will further influence the functional biogeography of mangroves. Our results highlight that mangrove biogeography is defined by human activities in the Anthropocene.</span></span></span></p>
Dataset for mangrove deadwood in Kenya
<p>Nine mangrove species are found in Kenya following a zonation pattern described in the National Mangrove Ecosystem Management Plan for Kenya (GoK 2017) and the "Mangroves of the Western Indian Ocean: Management and Status" (Bosire et al 2016). The dataset presents standing dead wood in the mangroves of Lamu, Mombasa and Tana River Counties in Kenya. It was collected between 2015 and 2020 following the "Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests", by Kauffman and Donato (2012). The data provides information on:</p> <ol> <li>collection date</li> <li>details of location</li> <li>Presence of social pressures</li> <li>Variables for the standing dead wood</li> </ol> <p> </p> <p> </p>
Mangrove standing dead wood data for the Mikoko Pamoja project
<p>Mikoko Pamoja Project is a pioneering community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected as part of the monitoring activity in 2020 using the measuring protocols by Kauffman and Donato (2012). Gazi mangrove forest has a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided.</p> <p>The data provides date, location details and measured forest variables.</p> <p><a href="http://www.aces-org.co.uk">www.aces-org.co.uk</a> </p> <p>GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya.</p> <p>Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.</p>
Mangrove standing dead wood for the Vanga Blue Forest project
<p>Vanga Blue Forest Project is a community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected in a monitoring activity in 2021 using the measuring protocols by Kauffman and Donato (2012). The forest Vanga follows a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided.</p> <p>The data provides date, location details and measured forest variables.</p> <p><a href="http://www.aces-org.co.uk">www.aces-org.co.uk</a> </p> <p>GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya.</p> <p>Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.</p>
Assessing a megadiverse but poorly known community of fishes in a tropical mangrove estuary through environmental DNA (eDNA) metabarcoding
<p>Biodiversity surveys are crucial for monitoring the status of threatened aquatic ecosystems, such as tropical estuaries and mangroves. Conventional monitoring methods are intrusive, time-consuming, substantially expensive, and often provide only rough estimates in complex habitats. An advanced monitoring approach, environmental DNA (eDNA) metabarcoding, is promising, although only few applications in tropical mangrove estuaries have been reported. In this study, we explore the advantages and limitations of an eDNA metabarcoding survey on the fish community of the Merbok Estuary (Peninsular Malaysia). COI and 12S eDNA metabarcoding assays collectively detected 178 species from 127 genera, 68 families, and 25 orders. Using this approach, significantly more species have been detected in the Merbok Estuary over the past decade (2010–2019) than in conventional surveys, including several species of conservation importance. However, we highlight three limitations: (1) in the absence of a comprehensive reference database the identities of several species are unresolved; (2) some of the previously documented specimen-based diversity was not captured by the current method, perhaps as a consequence of PCR primer specificity, and (3) the detection of non-resident species—stenohaline freshwater taxa (e.g., cyprinids, channids, osphronemids) and marine coral reef taxa (e.g., holocentrids, some syngnathids and sharks), not known to frequent estuaries, leading to the supposition that their DNA have drifted into the estuary through water movements. The community analysis revealed that fish diversity along the Merbok Estuary is not homogenous, with the upstream more diverse than further downstream. This could be due to the different landscapes or degree of anthropogenic influences along the estuary. In summary, we demonstrated the practicality of eDNA metabarcoding in assessing fish community and structure within a complex and rich tropical environment within a short sampling period. However, some limitations need to be considered and addressed to fully exploit the efficacy of this approach.</p>
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