Mangrove forest regeneration age map and drivers of restoration success in Gulf Cooperation Council countries from satellite imagery

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-09-12 DOI:10.1016/j.rsase.2024.101345
Midhun Mohan , Abhilash Dutta Roy , Jorge F. Montenegro , Michael S. Watt , John A. Burt , Aurelie Shapiro , Dhouha Ouerfelli , Redeat Daniel , Sergio de-Miguel , Tarig Ali , Macarena Ortega Pardo , Mario Al Sayah , Valliyil Mohammed Aboobacker , Naji El Beyrouthy , Ruth Reef , Esmaeel Adrah , Reem AlMealla , Pavithra S. Pitumpe Arachchige , Pandi Selvam , Wan Shafrina Wan Mohd Jaafar , Jeffrey Q. Chambers
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Abstract

Mangrove forests are found across the Gulf Cooperation Council (GCC) region despite challenging environmental extremes, including highly variable temperatures and hypersalinity. Understanding the biophysical and anthropogenic factors that influence mangrove forest growth is key to locate suitable areas for regeneration and afforestation activities. The main objectives of this study were to develop a mangrove forest regeneration age map that represents the age of all the existing secondary mangroves in the past 37 years (1986–2023). Long-term Landsat satellite imagery, the random forest classification algorithm, and logistic regression analyses were used to identify the existing secondary mangroves and determine the underlying drivers that contribute to the successful afforestation of mangroves in the region. Our results showed that only around 8.5% of secondary mangrove forests in the GCC region were older than 30 years, with mangroves younger than 5 years being the most abundant age class (41.3%). Saudi Arabia and Oman have the highest percentages of young mangroves, while relatively older secondary mangrove forests were most common in Bahrain, Qatar, and UAE. The current trends in overall mangrove area show that the UAE and Saudi Arabia have the largest total mangrove area among the GCC countries, followed by Qatar, Oman, Bahrain, and Kuwait. The results of the stepwise logistic regression show that the main drivers that influence mangrove regeneration are lower elevation, lower slope, higher available soil moisture, lower average temperatures, higher precipitation, greater proximity to freshwater sources, lower population density and greater distance from agricultural and urban areas. Our results aim to offer support to decision-making in selecting optimal areas for new planting initiatives in the region.

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利用卫星图像绘制海湾合作委员会国家红树林再生龄图和恢复成功的驱动因素
尽管海湾合作委员会(GCC)地区的极端环境充满挑战,包括温度和盐度变化很大,但红树林仍遍布该地区。了解影响红树林生长的生物物理和人为因素,是找到适合再生和植树造林活动区域的关键。本研究的主要目标是绘制红树林再生龄图,该图代表了过去 37 年(1986-2023 年)中所有现有次生红树林的龄期。研究利用长期陆地卫星图像、随机森林分类算法和逻辑回归分析来识别现有的次生红树林,并确定促使该地区红树林成功造林的根本原因。我们的研究结果表明,海湾合作委员会地区只有约 8.5%的次生红树林树龄超过 30 年,树龄小于 5 年的红树林数量最多(41.3%)。沙特阿拉伯和阿曼的年轻红树林比例最高,而相对较老的次生红树林在巴林、卡塔尔和阿联酋最为常见。红树林总面积的当前趋势表明,在海湾合作委员会国家中,阿联酋和沙特阿拉伯的红树林总面积最大,其次是卡塔尔、阿曼、巴林和科威特。逐步逻辑回归的结果表明,影响红树林再生的主要驱动因素是海拔较低、坡度较小、可用土壤湿度较高、平均气温较低、降水量较高、距离淡水水源较近、人口密度较低以及距离农业和城市地区较远。我们的研究结果旨在为该地区选择新种植计划的最佳区域提供决策支持。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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