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Li X, Wei L, Zhao H, Wang Y, Sun F, Wu M. Ecophysiological, transcriptomic and metabolomic analyses shed light on the response mechanism of Bruguiera gymnorhiza to upwelling stress. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 215:109074. [PMID: 39213943 DOI: 10.1016/j.plaphy.2024.109074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 08/07/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
Mangroves, due to their unique habitats, endure dual stressors from land to ocean and ocean to land directions. While extensive researches have been conducted on land-ocean stressors, studies on ocean-land stressors like upwelling are considerably scarce. In this study, ecophysiological, transcriptome, and metabolome analyses were conducted to determine the responses of mangrove plant (Bruguiera gymnorhiza, B. gymnorhiza) to upwelling stress. The results suggested that upwelling stress in B. gymnorhiza induces oxidative stress and membrane damage, which are mitigated by the synergistic actions of antioxidant enzymes and osmoprotectants. Transcriptomic and metabolomic analyses revealed that upregulated genes related to oxidation-reduction and carbohydrate metabolism, along with accumulated metabolites such as amino acids, lipids, phenols, and organic acids, contribute to enhancing antioxidant capacity and maintaining osmotic balance. Further analysis identified key KEGG pathways involved in the response to upwelling stress, including amino acid metabolism, carbohydrate and energy metabolism, flavonoid biosynthesis, and plant hormone signal transduction. These findings provide vital information into the multi-level response mechanisms of mangrove plants to upwelling stress.
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Affiliation(s)
- Xiaomei Li
- State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China; Guangdong Academy of Forestry, Guangzhou, 510520, China; Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangzhou, 510520, China; Guangdong Coastal Shelterbelt Forest Ecosystem National Observation and Research Station, Guangzhou, 510520, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Long Wei
- Guangdong Academy of Forestry, Guangzhou, 510520, China; Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangzhou, 510520, China; Guangdong Coastal Shelterbelt Forest Ecosystem National Observation and Research Station, Guangzhou, 510520, China
| | - Hui Zhao
- College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Yutu Wang
- State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
| | - Fulin Sun
- State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
| | - Meilin Wu
- State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China.
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González-Trujillo JD, Alagador D, González-Del-Pliego P, Araújo MB. Exposure of protected areas in Central America to extreme weather events. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14251. [PMID: 38462849 DOI: 10.1111/cobi.14251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/15/2023] [Accepted: 01/12/2024] [Indexed: 03/12/2024]
Abstract
Central America and the Caribbean are regularly battered by megadroughts, heavy rainfall, heat waves, and tropical cyclones. Although 21st-century climate change is expected to increase the frequency, intensity, and duration of these extreme weather events (EWEs), their incidence in regional protected areas (PAs) remains poorly explored. We examined historical and projected EWEs across the region based on 32 metrics that describe distinct dimensions (i.e., intensity, duration, and frequency) of heat waves, cyclones, droughts, and rainfall and compared trends in PAs with trends in unprotected lands. From the early 21st century onward, exposure to EWEs increased across the region, and PAs were predicted to be more exposed to climate extremes than unprotected areas (as shown by autoregressive model coefficients at p < 0.05 significance level). This was particularly true for heat waves, which were projected to have a significantly higher average (tested by Wilcoxon tests at p < 0.01) intensity and duration, and tropical cyclones, which affected PAs more severely in carbon-intensive scenarios. PAs were also predicted to be significantly less exposed to droughts and heavy rainfall than unprotected areas (tested by Wilcoxon tests at p < 0.01). However, droughts that could threaten connectivity between PAs are increasingly common in this region. We estimated that approximately 65% of the study area will experience at least one drought episode that is more intense and longer lasting than previous droughts. Collectively, our results highlight that new conservation strategies adapted to threats associated with EWEs need to be tailored and implemented promptly. Unless urgent action is taken, significant damage may be inflicted on the unique biodiversity of the region.
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Affiliation(s)
- Juan David González-Trujillo
- Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal
- Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Diogo Alagador
- Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal
| | - Pamela González-Del-Pliego
- Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal
| | - Miguel B Araújo
- Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal
- Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas, Madrid, Spain
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Patra P, Das U, Agrawal S. Satellite imagery-based tropical cyclone impact assessment on LULC and vegetation: a case study of cyclone Biparjoy. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:748. [PMID: 39023687 DOI: 10.1007/s10661-024-12902-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 07/05/2024] [Indexed: 07/20/2024]
Abstract
Cyclones pose significant threats to coastal regions, triggering widespread ecological and hydrological changes. This study presents an impact assessment of cyclone Biparjoy, which originated in the Arabian Sea and made landfall on the Gujarat coast of India on June 16, 2023. The research encompasses flood delineation and vegetation impact assessment in the Kachchh and Devbhoomi Dwarka districts of Gujarat, India. Sentinel-1A (VV polarized) imagery is used to precisely map the extent of inundation caused by cyclone Biparjoy. The total flooded area for Kachchh and Devbhoomi Dwarka was calculated to be 6556.73 km2 and 104.49 km2, respectively. The most affected LULC class in Kachchh is found to be bare ground (38.95%) and rangeland (38.94%) which is the major part of the Northeastern Rann region. In Dwarka, most waterlogging has been seen in the cropland (33.04%). The classification of the water and non-water pixels for the pre- and post-images is validated using the ROC curve. The accuracy was 93.2% and 89.5% for pre- and post-images classifications, respectively. Furthermore, vegetation impact was investigated to estimate the cyclone's ecological consequences. Alterations in vegetation density and overall health were estimated by calculating Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) from both pre- and post-cyclone Landsat-8 OLI images. The cyclone-induced damage is further assessed for the mangrove trees in Kori Creek. This work contributes to understanding the ecological repercussions of such extreme weather events.
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Affiliation(s)
- Prachee Patra
- GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, Uttar Pradesh, India
| | - Umakanta Das
- GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, Uttar Pradesh, India
| | - Sonam Agrawal
- GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, Uttar Pradesh, India.
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Zeng J, Ai B, Jian Z, Zhao J, Sun S. Simulation of mangrove suitable habitat in the Guangdong-Hong Kong-Macao Area under the background of climate change. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119678. [PMID: 38043307 DOI: 10.1016/j.jenvman.2023.119678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/24/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023]
Abstract
Climate change has resulted in great influence on the geographical distribution of species. Mangrove forests are one of the most precious ecosystems on the planet, yet they are being threatened by the habitat destruction and degradation under the situation of global warming. Seeking suitable areas for planting mangroves to tackle climate change has been gradually popular in ecological restoration. In this study, we applied the Maximum Entropy algorithm to assess the contribution of environmental factors on mangrove distribution, simulated mangrove suitable habitat for present and future (scenario of SSP245-2070s), and used kernel density analysis for identifying priority of mangrove reserve construction. Results indicate that mean diurnal range and elevation made the highest contribution on mangrove distribution. At present, the mangrove habitat suitability along the western coast of the Guangdong-Hong Kong-Macao Area (GHMA) was the highest while that along the eastern coast was the lowest. By 2070s, mangrove suitable areas would show a decreasing trend under SSP245 scenario. High suitable areas (HSAs) would change fastest and shift to northeast in the same direction as dominant environmental factors. For further mangrove restoration, it is advisable to select sites with high suitability density in the future but low reclamation density at present as prior mangrove reserves, and these sites distribute along the northeastern and northwestern coast of Zhanjiang, Yangjiang and Jiangmen, the Pearl River Estuary and Honghai Bay of Shanwei. Meanwhile, regions with lower suitability density but higher reclamation density could be listed as secondary mangrove reserves.
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Affiliation(s)
- Jiali Zeng
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, Guangdong, PR China
| | - Bin Ai
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, Guangdong, PR China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, Guangdong, PR China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519000, Guangdong, PR China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou, 510275, Guangdong, PR China.
| | - Zhuokai Jian
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, Guangdong, PR China
| | - Jun Zhao
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, Guangdong, PR China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, Guangdong, PR China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519000, Guangdong, PR China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou, 510275, Guangdong, PR China
| | - Shaojie Sun
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, Guangdong, PR China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, Guangdong, PR China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519000, Guangdong, PR China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou, 510275, Guangdong, PR China
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