不同红树林地点营养物、生物量和细菌数量的测定:营养物依赖生物量生产的比较研究

IF 2.3 2区 生物学 Q2 ECOLOGY
Sadar Aslam, You-Shao Wang
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The concentration of nutrients (<span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NH</mi>\n <mn>4</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NH}}_4^{+} $$</annotation>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>2</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_2^{-} $$</annotation>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>3</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_3^{-} $$</annotation>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>PO</mi>\n <mn>4</mn>\n <mrow>\n <mn>3</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{PO}}_4^{3-} $$</annotation>\n </semantics></math> and <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>SiO</mi>\n <mn>3</mn>\n <mrow>\n <mn>2</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{SiO}}_3^{2-} $$</annotation>\n </semantics></math>) was determined (both water and soil samples). Based on the nutrient concentration, the comparison of mangrove biomass production, total organic matter and bacterial count were also investigated. The level of nutrient values and biomass production of mangrove and bacterial count in both water and soil samples followed the same trend. The results showed that the highest concentration of <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NH</mi>\n <mn>4</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NH}}_4^{+} $$</annotation>\n </semantics></math> (0.457 ± 0.051 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>2</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_2^{-} $$</annotation>\n </semantics></math> (0.223 ± 0.018 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>3</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_3^{-} $$</annotation>\n </semantics></math> (0.521 ± 0.038 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>PO</mi>\n <mn>4</mn>\n <mrow>\n <mn>3</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{PO}}_4^{3-} $$</annotation>\n </semantics></math> = P (0.242 ± 0.049 mg/L) and <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>SiO</mi>\n <mn>3</mn>\n <mrow>\n <mn>2</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{SiO}}_3^{2-} $$</annotation>\n </semantics></math> = Si (4.094 ± 0. 095 mg/L) were found in the water samples from station S-1, while the lowest values of <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NH</mi>\n <mn>4</mn>\n <mo>+</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NH}}_4^{+} $$</annotation>\n </semantics></math> (0.063 ± 0.007 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>2</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_2^{-} $$</annotation>\n </semantics></math> (0.0124 ± 0.001 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>NO</mi>\n <mn>3</mn>\n <mo>−</mo>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{NO}}_3^{-} $$</annotation>\n </semantics></math> (0.053 ± 0.003 mg/L), <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>PO</mi>\n <mn>4</mn>\n <mrow>\n <mn>3</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{PO}}_4^{3-} $$</annotation>\n </semantics></math> = P (0.012 ± 0.002 mg/L) and <span></span><math>\n <semantics>\n <mrow>\n <msubsup>\n <mi>SiO</mi>\n <mn>3</mn>\n <mrow>\n <mn>2</mn>\n <mo>−</mo>\n </mrow>\n </msubsup>\n </mrow>\n <annotation>$$ {\\mathrm{SiO}}_3^{2-} $$</annotation>\n </semantics></math> (0.713 ± 0.009 mg/L) were recorded in station S-8. The order of nutrient values and bacterial count in the water and soil samples was same: S-1 &gt; S-5 &gt; S-3 &gt; S-6 &gt; S-4 &gt; S-2 &gt; S-7 &gt; S-8. <i>Avicennia marina</i> was the only species found in all stations therefore; this species was considered for the assessment of the biomass of above- and belowground parts. The highest biomass (aboveground parts; 131.23 ± 2.09 Mg/ha, belowground parts; 139.86 ± 2.57 Mg/ha) was recorded at station S-1. The lowest biomass (aboveground parts; 119.72 ± 1.99 Mg/ha, belowground parts; 127.13 ± 2.01 Mg/ha) was found at station S-8. The analysis of organic matter (both water and soil samples) also showed the same trend. It was concluded that that mangrove biomass was nutrient-dependent, confirming our hypothesis that “mangrove biomass could depend on the availability of nutrients.” Mangrove ecosystem plays an important role in coastal and marine food webs and is closely connected to the well-being of coastal communities. Therefore, the mangrove ecosystem is mainly included in the United Nations Sustainable Development Goals (SDGs) and the Paris Agreement (climate change mitigation) in this decade. This study is in line with SDGs 12 (Responsible consumption and production of food), 13 (Climate action), 14 (Life below water) and 17 (Partnerships with the goals). The mangrove plants convert carbon dioxide (toxic form of carbon) in its useful form (biomass), and in addition, the mangrove ecosystem serves as a food and nursery area for fish and shellfish fisheries. Therefore, this research promotes the role of the mangrove ecosystem to benefit the blue economy and mitigate climate change. It was concluded that the abundance of bacteria and the biomass of mangroves depend on the availability of nutrients. Therefore, the results of this study strengthen our hypothesis. In the future, this study could serve as a reference study for blue carbon sequestration in the mangrove ecosystem.</p>","PeriodicalId":11467,"journal":{"name":"Ecology and Evolution","volume":"15 7","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ece3.71697","citationCount":"0","resultStr":"{\"title\":\"Determination of Nutrients, Biomass, and Bacterial Quantification in Different Mangroves Sites: A Comparative Study on Nutrients Dependent Biomass Production\",\"authors\":\"Sadar Aslam,&nbsp;You-Shao Wang\",\"doi\":\"10.1002/ece3.71697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study was conducted at eight different sites of the mangrove ecosystem in Kaozhou Yang, Huidong District, Huizhou Guangdong, South China Sea. The concentration of nutrients (<span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NH</mi>\\n <mn>4</mn>\\n <mo>+</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NH}}_4^{+} $$</annotation>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>2</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_2^{-} $$</annotation>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>3</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_3^{-} $$</annotation>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>PO</mi>\\n <mn>4</mn>\\n <mrow>\\n <mn>3</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{PO}}_4^{3-} $$</annotation>\\n </semantics></math> and <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>SiO</mi>\\n <mn>3</mn>\\n <mrow>\\n <mn>2</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{SiO}}_3^{2-} $$</annotation>\\n </semantics></math>) was determined (both water and soil samples). Based on the nutrient concentration, the comparison of mangrove biomass production, total organic matter and bacterial count were also investigated. The level of nutrient values and biomass production of mangrove and bacterial count in both water and soil samples followed the same trend. The results showed that the highest concentration of <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NH</mi>\\n <mn>4</mn>\\n <mo>+</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NH}}_4^{+} $$</annotation>\\n </semantics></math> (0.457 ± 0.051 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>2</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_2^{-} $$</annotation>\\n </semantics></math> (0.223 ± 0.018 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>3</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_3^{-} $$</annotation>\\n </semantics></math> (0.521 ± 0.038 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>PO</mi>\\n <mn>4</mn>\\n <mrow>\\n <mn>3</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{PO}}_4^{3-} $$</annotation>\\n </semantics></math> = P (0.242 ± 0.049 mg/L) and <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>SiO</mi>\\n <mn>3</mn>\\n <mrow>\\n <mn>2</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{SiO}}_3^{2-} $$</annotation>\\n </semantics></math> = Si (4.094 ± 0. 095 mg/L) were found in the water samples from station S-1, while the lowest values of <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NH</mi>\\n <mn>4</mn>\\n <mo>+</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NH}}_4^{+} $$</annotation>\\n </semantics></math> (0.063 ± 0.007 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>2</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_2^{-} $$</annotation>\\n </semantics></math> (0.0124 ± 0.001 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>NO</mi>\\n <mn>3</mn>\\n <mo>−</mo>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{NO}}_3^{-} $$</annotation>\\n </semantics></math> (0.053 ± 0.003 mg/L), <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>PO</mi>\\n <mn>4</mn>\\n <mrow>\\n <mn>3</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{PO}}_4^{3-} $$</annotation>\\n </semantics></math> = P (0.012 ± 0.002 mg/L) and <span></span><math>\\n <semantics>\\n <mrow>\\n <msubsup>\\n <mi>SiO</mi>\\n <mn>3</mn>\\n <mrow>\\n <mn>2</mn>\\n <mo>−</mo>\\n </mrow>\\n </msubsup>\\n </mrow>\\n <annotation>$$ {\\\\mathrm{SiO}}_3^{2-} $$</annotation>\\n </semantics></math> (0.713 ± 0.009 mg/L) were recorded in station S-8. The order of nutrient values and bacterial count in the water and soil samples was same: S-1 &gt; S-5 &gt; S-3 &gt; S-6 &gt; S-4 &gt; S-2 &gt; S-7 &gt; S-8. <i>Avicennia marina</i> was the only species found in all stations therefore; this species was considered for the assessment of the biomass of above- and belowground parts. The highest biomass (aboveground parts; 131.23 ± 2.09 Mg/ha, belowground parts; 139.86 ± 2.57 Mg/ha) was recorded at station S-1. The lowest biomass (aboveground parts; 119.72 ± 1.99 Mg/ha, belowground parts; 127.13 ± 2.01 Mg/ha) was found at station S-8. The analysis of organic matter (both water and soil samples) also showed the same trend. It was concluded that that mangrove biomass was nutrient-dependent, confirming our hypothesis that “mangrove biomass could depend on the availability of nutrients.” Mangrove ecosystem plays an important role in coastal and marine food webs and is closely connected to the well-being of coastal communities. Therefore, the mangrove ecosystem is mainly included in the United Nations Sustainable Development Goals (SDGs) and the Paris Agreement (climate change mitigation) in this decade. This study is in line with SDGs 12 (Responsible consumption and production of food), 13 (Climate action), 14 (Life below water) and 17 (Partnerships with the goals). The mangrove plants convert carbon dioxide (toxic form of carbon) in its useful form (biomass), and in addition, the mangrove ecosystem serves as a food and nursery area for fish and shellfish fisheries. Therefore, this research promotes the role of the mangrove ecosystem to benefit the blue economy and mitigate climate change. It was concluded that the abundance of bacteria and the biomass of mangroves depend on the availability of nutrients. Therefore, the results of this study strengthen our hypothesis. 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引用次数: 0

摘要

本研究在南海广东省惠州市惠东区高州洋红树林生态系统的8个不同样点进行。营养物浓度(nh4 + $$ {\mathrm{NH}}_4^{+} $$, no2−$$ {\mathrm{NO}}_2^{-} $$,NO 3−$$ {\mathrm{NO}}_3^{-} $$,PO 4 3−$$ {\mathrm{PO}}_4^{3-} $$和sio3 2−$$ {\mathrm{SiO}}_3^{2-} $$)测定(水和土壤样品)。在养分浓度的基础上,比较了红树林生物量、总有机质和细菌数量。红树林的营养价值和生物量水平以及水样和土壤样品中的细菌数量都遵循相同的趋势。结果表明,nh4 + $$ {\mathrm{NH}}_4^{+} $$浓度最高(0.457±0.051 mg/L);no2 - $$ {\mathrm{NO}}_2^{-} $$(0.223±0.018 mg/L), no3 - $$ {\mathrm{NO}}_3^{-} $$(0.521±0.038 mg/L),PO 3−$$ {\mathrm{PO}}_4^{3-} $$ = P(0.242±0.049 mg/L)和sio32−$$ {\mathrm{SiO}}_3^{2-} $$ = Si(4.094±0。S-1站水样中nh4 + $$ {\mathrm{NH}}_4^{+} $$含量最低(0.063±0.007 mg/L);no2 - $$ {\mathrm{NO}}_2^{-} $$(0.0124±0.001 mg/L), no3 - $$ {\mathrm{NO}}_3^{-} $$(0.053±0.003 mg/L),PO 4 3−$$ {\mathrm{PO}}_4^{3-} $$ = P(0.012±0.002 mg/L)和SiO 3 2−$$ {\mathrm{SiO}}_3^{2-} $$(0.713±0.009 mg/L)在S-8站记录。水、土样品中养分值和细菌数量顺序相同:S-1 &gt; S-5 &gt; S-3 &gt; S-6 &gt; S-4 &gt; S-2 &gt; S-7 &gt; S-8。 因此,在所有站点中都发现了唯一的一种;该树种被考虑用于评估地上部分和地下部分的生物量。最高生物量(地上部分;地下部分131.23±2.09 Mg/ha;S-1站测得139.86±2.57 Mg/ha)。最低生物量(地上部分;地下部分119.72±1.99 Mg/ha;127.13±2.01 Mg/ha)。有机物(包括水和土壤样品)的分析也显示出相同的趋势。结论是,红树林生物量是营养依赖的,证实了我们的假设,即“红树林生物量可能取决于营养的可用性”。红树林生态系统在沿海和海洋食物网中发挥着重要作用,与沿海社区的福祉密切相关。因此,红树林生态系统在本十年主要被纳入联合国可持续发展目标(SDGs)和《巴黎协定》(减缓气候变化)。这项研究符合可持续发展目标12(负责任的粮食消费和生产)、13(气候行动)、14(水下生命)和17(与目标的伙伴关系)。红树林植物将二氧化碳(有毒的碳形式)转化为有用的形式(生物量),此外,红树林生态系统还是鱼类和贝类渔业的食物和苗圃。因此,本研究促进了红树林生态系统在促进蓝色经济和减缓气候变化方面的作用。结果表明,红树林的细菌丰度和生物量取决于营养物质的可用性。因此,本研究的结果加强了我们的假设。在未来,本研究可作为红树林生态系统蓝碳固存的参考研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Determination of Nutrients, Biomass, and Bacterial Quantification in Different Mangroves Sites: A Comparative Study on Nutrients Dependent Biomass Production

Determination of Nutrients, Biomass, and Bacterial Quantification in Different Mangroves Sites: A Comparative Study on Nutrients Dependent Biomass Production

This study was conducted at eight different sites of the mangrove ecosystem in Kaozhou Yang, Huidong District, Huizhou Guangdong, South China Sea. The concentration of nutrients ( NH 4 + $$ {\mathrm{NH}}_4^{+} $$ , NO 2 $$ {\mathrm{NO}}_2^{-} $$ , NO 3 $$ {\mathrm{NO}}_3^{-} $$ , PO 4 3 $$ {\mathrm{PO}}_4^{3-} $$ and SiO 3 2 $$ {\mathrm{SiO}}_3^{2-} $$ ) was determined (both water and soil samples). Based on the nutrient concentration, the comparison of mangrove biomass production, total organic matter and bacterial count were also investigated. The level of nutrient values and biomass production of mangrove and bacterial count in both water and soil samples followed the same trend. The results showed that the highest concentration of NH 4 + $$ {\mathrm{NH}}_4^{+} $$ (0.457 ± 0.051 mg/L), NO 2 $$ {\mathrm{NO}}_2^{-} $$ (0.223 ± 0.018 mg/L), NO 3 $$ {\mathrm{NO}}_3^{-} $$ (0.521 ± 0.038 mg/L), PO 4 3 $$ {\mathrm{PO}}_4^{3-} $$  = P (0.242 ± 0.049 mg/L) and SiO 3 2 $$ {\mathrm{SiO}}_3^{2-} $$  = Si (4.094 ± 0. 095 mg/L) were found in the water samples from station S-1, while the lowest values of NH 4 + $$ {\mathrm{NH}}_4^{+} $$ (0.063 ± 0.007 mg/L), NO 2 $$ {\mathrm{NO}}_2^{-} $$ (0.0124 ± 0.001 mg/L), NO 3 $$ {\mathrm{NO}}_3^{-} $$ (0.053 ± 0.003 mg/L), PO 4 3 $$ {\mathrm{PO}}_4^{3-} $$  = P (0.012 ± 0.002 mg/L) and SiO 3 2 $$ {\mathrm{SiO}}_3^{2-} $$ (0.713 ± 0.009 mg/L) were recorded in station S-8. The order of nutrient values and bacterial count in the water and soil samples was same: S-1 > S-5 > S-3 > S-6 > S-4 > S-2 > S-7 > S-8. Avicennia marina was the only species found in all stations therefore; this species was considered for the assessment of the biomass of above- and belowground parts. The highest biomass (aboveground parts; 131.23 ± 2.09 Mg/ha, belowground parts; 139.86 ± 2.57 Mg/ha) was recorded at station S-1. The lowest biomass (aboveground parts; 119.72 ± 1.99 Mg/ha, belowground parts; 127.13 ± 2.01 Mg/ha) was found at station S-8. The analysis of organic matter (both water and soil samples) also showed the same trend. It was concluded that that mangrove biomass was nutrient-dependent, confirming our hypothesis that “mangrove biomass could depend on the availability of nutrients.” Mangrove ecosystem plays an important role in coastal and marine food webs and is closely connected to the well-being of coastal communities. Therefore, the mangrove ecosystem is mainly included in the United Nations Sustainable Development Goals (SDGs) and the Paris Agreement (climate change mitigation) in this decade. This study is in line with SDGs 12 (Responsible consumption and production of food), 13 (Climate action), 14 (Life below water) and 17 (Partnerships with the goals). The mangrove plants convert carbon dioxide (toxic form of carbon) in its useful form (biomass), and in addition, the mangrove ecosystem serves as a food and nursery area for fish and shellfish fisheries. Therefore, this research promotes the role of the mangrove ecosystem to benefit the blue economy and mitigate climate change. It was concluded that the abundance of bacteria and the biomass of mangroves depend on the availability of nutrients. Therefore, the results of this study strengthen our hypothesis. In the future, this study could serve as a reference study for blue carbon sequestration in the mangrove ecosystem.

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来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
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