Published: Jan. 1, 2024
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Language: Английский
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0Journal of Resources and Ecology, Journal Year: 2024, Volume and Issue: 15(4)
Published: Aug. 12, 2024
Coastal wetlands are of paramount importance as major reservoirs blue carbon (C), playing a crucial role in providing nature-based solutions to mitigate climatic changes. This research aimed analyse the dynamics total C (TBC) and its components; viz. soil organic (SOC), below ground C, above C; well how they influenced by land use/ cover (LULC) categories wetland situations. Subsequently, study were identified one restored another degraded Medinipur Plain, India. The LULC analyzed using Pleiades 1A 1B satellite imagery, corresponding wetland, respectively. quantification SOC was based on point-specific sample data collected from both (nr=250; nd=84). Above biomass (AGB) appraised employing allometric relationships involving field-measured dendrometric variables. Below values calculated indirect equations that take into account AGB values. Integrating all components, TBC stock estimated at 246710.91 Mg 7865.49 Mg, In dense mangrove open exhibited higher concentrations while other demonstrated moderate low densities. category rec-high densities pools, whereas herbaceous vegetation, bare earth sand, waterbody lower concentrations. results portrayed significant disparities (P<0.05) pools among different wetlands. Furthermore, it evident type had notable (P<0.001) impacts dynamics, individually combination. Overall, this may aid effective management coastal sinks, emphasizing their significance essential elements climate mitigation strategies.
Language: Английский
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0Ecological Engineering, Journal Year: 2024, Volume and Issue: 210, P. 107434 - 107434
Published: Nov. 5, 2024
Language: Английский
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0Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2073 - 2073
Published: Nov. 24, 2024
Accurate estimation of the potential increase in carbon (C) sink function forests is required for climate mitigation and C neutrality assessments. Also, accurate forest density estimates are critical understanding national- global-level cycling storage can inform change mitigation. This study established a stand growth model to further analyze planted Mongolian pine (Pinus sylvestris var. mongolica) forests. Samples (390) from fixed plots were collected Heilongjiang Province, Northeast China. The site index (SCI) (SDI) introduced constructed model, with an optimal selected through fitting. effect SDI on different SCI grouping intervals was assessed. Total sequestration calculated using model. Sample higher each age establish pine, difference between this rate average compared obtain capacity stand. Slightly fitting accuracies among models observed, Richards showing best performance, which improved introduction SDI. Stand associated increasing trend SCI, within subgroup related trend. close years 5 13. peaked at 3.86 Mg·ha−1·year−1 year 13, whereas 4.42 15. A gap existed ages 13 45, indicating possibility increased range. incorporating provided better reflection plantation, showed that increment plantation be obtained 45. results guide management plantation.
Language: Английский
Citations
0Cleaner Environmental Systems, Journal Year: 2024, Volume and Issue: unknown, P. 100243 - 100243
Published: Dec. 1, 2024
Language: Английский
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0Published: Nov. 10, 2023
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