scholarly journals The Effect of Habitat Structural Complexity on Gastropods in Anarid Mangrove Wetland

Author(s):  
Haniyeh Ebadzadeh ◽  
Mehdi Ghodrati Shojaei ◽  
Jafar Seyfabadi

Abstract Structural complexity of mangrove forests are thought to provide critical habitats for a variety of invertebrates. We studied the influence of mangrove structure and seasonality on the gastropod diversity in the extreme mangrove ecosystem of the Persian Gulf. Sampling was conducted in two successive years (February and June 2018, February and June 2019) at two mangrove habitats i.e., pneumatophore zone and mudflats. The communities were characterized by the dominance of specific taxa and the comparably low species richness. In total, 18 taxa were identified, including 14 species occurring in the mangrove forest and 16 species in the mudflats. Assimineidae dominated the community in both mangrove habitats. Mean density of gastropods was 1.5-fold higher in the pneumatophore zone (86.12±135.21 ind.m-2) than in the mudflats (54.33±108.69 ind.m-2). Species such as Haminoea vitrea, Peronia verruculata, Assiminea mesopotamica and Platevindex tigrinus were found to benefit from the presence of pneumatophores, which highlights the importance of local habitat complexity. Gastropod communities varied significantly between the habitats, but there was little difference in the community structure between seasons. Distance-based linear models revealed that total organic carbon and total organic nitrogen best explained the variation in gastropods community structure.

2019 ◽  
Vol 609 ◽  
pp. 33-48 ◽  
Author(s):  
RP Lyon ◽  
DB Eggleston ◽  
DR Bohnenstiehl ◽  
CA Layman ◽  
SW Ricci ◽  
...  

2019 ◽  
Vol 5 ◽  
pp. 104
Author(s):  
Suhendra Purnawan ◽  
Subari Yanto ◽  
Ernawati S.Kaseng

This study aims to describe the profile of vegetation diversity in the mangrove ecosystem in Tamuku Village, Bone-Bone-Bone District, North Luwu Regency. This research is a qualitative research using survey methods. The data collection technique uses the Quadrant Line Transect Survey technique. The data analysis technique uses the thinking flow which is divided into three stages, namely describing phenomena, classifying them, and seeing how the concepts that emerge are related to each other. The results of this study are the profile of mangrove vegetation in Tamuku Village, which is still found 16 varieties of true mangrove vegetation and 7 varieties of mangrove vegetation joined in the coastal area of Tamuku Village, Bone-Bone District, North Luwu Regency, South Sulawesi. The condition of mangrove vegetation in Tamuku Village is currently very worrying due to human activities that cause damage such as the project of normalization of flow, opening of new farms, disposal of garbage, water pollution due to chemicals, and exploitation of mangrove forests for living needs. The impact is ecosystem damage and reduced vegetation area as a place to grow and develop mangroves.


2019 ◽  
Vol 24 (7) ◽  
pp. 1319-1336
Author(s):  
Shahrooz Kazemi

In a survey on the edaphic mesostigmatic mites in mangrove forests of Qeshm Island, eastern of the Persian Gulf, two species of the family Ascidae were collected in broken cockleshells and sand in littoral zone: Leioseius sepidehae sp. nov. and Protogamasellus mica (Athias-Henriot, 1961). This is the first record of the genus Leioseius from Iran. Leioseius sepidehae sp. nov. is described from adult females. Intraspecific variations of some characters of P. mica are discussed, and based on those, P. primitivus machadoi Genis, Loots & Ryke, 1967 and P. primitivus similis Genis, Loots & Ryke, 1967 are herein synonymized under P. mica. Finally, the occasional presence of the gland pores gv1 in Ascidae is reviewed, and a key to the Iranian genera and species of Ascidae is presented.


2021 ◽  
Vol 748 (1) ◽  
pp. 012017
Author(s):  
E Wahyuni ◽  
Zulhafandi ◽  
Hendris ◽  
Jarin

Abstract Mangrove forests are natural resources in coastal areas that have an important role in terms of social, economic and ecological aspects. However, the utilization of the mangrove ecosystem makes it vulnerable to damage. This study aims to determine the level of public knowledge of the economic, ecological benefits and damage that happened to mangrove areas in Tarakan City. The scoring method was used to determine the total score or the total score of the respondents’ answers, which amount to 50 people. that the community’s knowledge of the economic benefits of mangrove forests was categorized as know for the benefits of mangroves as firewood, mangrove areas as a place for settlement, mangroves as a place to get fish and mangrove benefits as aquaculture areas with total scores of 226, 200, 232,230 respectively. However, the level of community knowledge about the benefits of mangroves as a medicinal ingredient obtained a total score of 164, which means the level of community knowledge was in the doubtful category. While the level of community knowledge of the ecological benefits of mangrove forests as coastline guards, sea wave barriers, sea wind protectors, and animal breeding sites were included in the category of “Know” with a total score of 228, 224, 234, 240 respectively, but the level of knowledge The community regarding the benefits of mangroves that can manage household waste was in the “doubtful” category with a total score of 128. The community was aware of the damage to mangrove forest ecosystems caused by garbage, logging / mangroves, expanding aquaculture, settlements and increasing population. with a total score of 234,232, 210,228 and 200 levels of knowledge, respectively, which are included in the “Know” category.


2019 ◽  
Vol 2 (1) ◽  
pp. 9
Author(s):  
Nurul Azmi

This study aims to determine: 1) The level of society support in the rehabilitation of mangrove forests. 2) Model ofsociety participation in the rehabilitation of mangrove forests. The population in this study was 721 people, a sample was72 people. The sampling technique used is proportional random sampling. Data collection using observation techniques, interviews, and questionnaires. Data analysis using descriptive interpretative. The results showed that the level of knowledge and society support about mangrove forest rehabilitation is good enough. The model of society  participation is that they are directly involved in the rehabilitation of mangrove forest starting from the planning stage, which is to provide aspirations in the form of concepts, ideas. Designing the concept to be implemented. Planting, they participates in the provision of seeds and planting. Establish working groups led by community leaders or chairmen of working groups. Maintenance, participate in mangrove csssare from the re-planting of mangroves that diaman dead and eradicate the pests that attack the mangrove seeds, and finally the Supervision, in this stage  they forbid anyone to remove, cut the mangrove that has been planted. The government also participates in the supervision and make the rule of giving sanctions to those who deliberately destroy the mangrove ecosystem.


Life Science ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 1-9
Author(s):  
Rafdinal Rafdinal ◽  
Rizalinda Rizalinda ◽  
Sukal Minsas

This study aims to analyze the distribution pattern of aboveground biomass (AGB) in the mangrove ecosystem of West Kalimantan Safety. In addition, it also analyzes the differences in biomass and carbon stocks in the condition of mangrove forests. The study of the distribution pattern of AGB of mangrove forests was carried out between August and September 2018. Determination of the location of the study was based on a conceptual approach in the dimensions of spatial temporal that is using the Porposive Random Sampling method. Vegetation analysis was carried out by a single plot measuring 50 m x 50 m at each selected location. Based on vegetation analysis data it was found that the density of mangrove stands on the Peniti coast ranged from 38 to 185 ind /ha, with an average of 88.25 ± 66.15 ind./ Ha. The AGB of pinch mangrove forests ranged from 8.85 to 84.82 Mg / ha with the largest total AGB distributed in the stand diameter class of more than 80 cm.   Penelitian ini bertujuan untuk menganalisis pola distribusi aboveground biomass (AGB) pada ekosistem mangrove Peniti Kalimantan Barat. Selain itu juga untuk menganalisis perbedaan biomassa, dan cadangan karbon pada kondisi hutan mangrove. Kajian pola distribusi AGB hutan mangrove Peniti dilakukan antara bulan Agustus dan September 2018. Penentuan lokasi penelitian didasarkan pada pendekatan konseptual dalam dimensi spasio temporal yaitu menggunakan metode Porposive Random Sampling. Analisis vegetasi dilakukan dengan metode petak tunggal berukuran 50 m x 50 m pada setiap lokasi terpilih. Berdasarkan data analisis vegetasi didapatkan bahwa kerapatan tegakan mangrove di pesisir Peniti berkisar antara 38 sampai 185 ind/ha, dengan rata-rata 88,25±66,15 ind./ha. AGB tegakan hutan mangrove Peniti berkisar antara 8,85 sampai 84,82 Mg/ha dengan total AGB terbesar terdistribusi pada kelas diameter tegakan lebih dari 80 cm.


PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0241116 ◽  
Author(s):  
Andrey V. Malyshev ◽  
Paula Tummon Flynn ◽  
Ruth Cox ◽  
Cristian Duarte ◽  
Pedro A. Quijón

2020 ◽  
Vol 12 (7) ◽  
pp. 2503
Author(s):  
Ana Paula Sena de Souza ◽  
Ivonice Sena de Souza ◽  
George Olavo ◽  
Jocimara Souza Britto Lobão ◽  
Rafael Vinícius de São José

O ecossistema manguezal representa 8% de toda a linha de costa do planeta ocupando uma área total de 181.077 km2. O Brasil é o segundo país em extensão de áreas de manguezal, ficando atrás apenas da Indonésia. O objetivo do presente estudo foi mapear e identificar os principais vetores responsáveis pela supressão da cobertura das áreas de manguezal na região do Baixo Sul da Bahia, Brasil, a partir de imagens de satélite Landsat disponíveis para o período entre 1994 e 2017. Os mapeamentos foram realizados a partir de classificação supervisionada, utilizando o método Maxver. A acurácia da classificação obtida foi verificada através da verdade de campo, de índices de Exatidão Global, e dos coeficientes de concordância kappa e Tau. As classes que apresentaram maior área de cobertura no período analisado foram: vegetação ombrófila densa, agropecuária, solo exposto e manguezal. Foram identificados dois vetores principais responsáveis pela supressão dos bosques de mangue: a expansão desordenada das áreas urbanas (com destaque para o município de Valença) e o avanço da atividade de carcinicultura clandestina, devido a instalação de tanques de cultivo de camarão sem o devido processo de licenciamento ambiental (sobretudo no município de Nilo Peçanha). O uso das geotecnologias, em especial o Sensoriamento Remoto e os Sistemas de Informações Geográficas, foram ferramentas fundamentais na identificação destes vetores responsáveis pela supressão das áreas de manguezal na área de estudo região do Baixo Sul da Bahia.  Mapping and identification of vectors responsible for mangrove suppression in the Southern Bahia Lowlands, BrazilA B S T R A C TThe mangrove ecosystem represents 8% of the entire coastline of the planet and occupies a total area of 181,077 km2. Brazil is the second largest country in terms of mangrove areas, second only to Indonesia. The aim of the present study was to map and identify the main vectors responsible for the suppression of mangrove cover in the Southern Lowlands of Bahia, Brazil, from Landsat satellite images available for the period 1994-2017. based on supervised classification using the Maxver method. The accuracy of the classification obtained was verified through field truth, Global Accuracy indices, and kappa and Tau agreement coefficients. The classes that presented larger coverage area in the analyzed period were: dense ombrophilous vegetation, agriculture, exposed soil and mangrove. Two main vectors responsible for the suppression of mangrove forests were identified: the disorderly expansion of urban areas (especially the municipality of Valença) and the advance of clandestine shrimp farming due to the installation of shrimp farms without due environmental licensing process (mainly in the municipality of Nilo Peçanha). The use of geotechnologies, especially Remote Sensing and Geographic Information Systems, were fundamental tools in the identification of these vectors responsible for the suppression of mangrove areas in the study area of the Southern Bahia Lowlands.Key-words: environmental impacts, satellite image, shrimp farming.


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