This groundbreaking research makes a contribution to climate change adaptation studies by filling a crucial knowledge gap related to the precise evaluation of mangrove biomass—an essential element influencing the future trends of coastal ecosystems. Specifically, the study concentrates on the Hara Biosphere Reserve (HBR) on the coasts of the Persian Gulf (PG), aiming to generate precise maps of mangrove biomass. The methodological approach involves a comprehensive analysis, including the utilization of Landsat imagery to establish an NDVI map of mangroves, the application of the Cumulative Sum (CUSUM) method to determine a threshold NDVI value for distinguishing between tall and dwarf mangroves, and the subsequent mapping of their distribution in both coastal and island zones. Additionally, the study calculates above-ground biomass (AGB) and below-ground biomass (BGB) values in sample plots, develops a regression relationship between biomass and NDVI values, and integrates maps of tall and dwarf mangrove extent with spatial variations in AGB and BGB. Noteworthy outcomes include the identification of a threshold NDVI value (0.63) for distinguishing mangrove types and revealing distinct biomass values for mangroves in both coastal and island zones. Significantly, tall mangroves positioned on the seaward edges exhibit higher biomass in both zones than dwarf mangroves. These findings shed light on the potential exacerbation of climate change impacts, such as rising sea levels and changing tidal range on mangroves of the coasts of the PG due to the heightened productivity and specific spatial distribution of tall mangroves. Recognizing these structural characteristics and production disparities is crucial for developing effective climate change adaptation programs. Integrating such insights into management strategies is emphasized as pivotal for enhancing the efficiency and success of these programs, presenting a robust solution for protecting mangroves in diverse coastal areas.

中文翻译：

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精确绘制和评估红树林生物量：来自波斯湾沿岸的见解

这项开创性的研究填补了与红树林生物量精确评估相关的关键知识空白，为气候变化适应研究做出了贡献——红树林生物量是影响沿海生态系统未来趋势的重要因素。具体来说，该研究集中在波斯湾（PG）沿岸的哈拉生物圈保护区（HBR），旨在生成精确的红树林生物量地图。该方法涉及综合分析，包括利用Landsat影像建立红树林NDVI图，应用累积和（CUSUM）方法确定区分高矮红树林的NDVI阈值，以及随后的制图它们在沿海和岛屿地区的分布。此外，该研究还计算了样地中的地上生物量（AGB）和地下生物量（BGB）值，建立了生物量和 NDVI 值之间的回归关系，并将高矮红树林范围图与 AGB 和地下生物量的空间变化相结合。 BGB。值得注意的成果包括确定了区分红树林类型的 NDVI 阈值 (0.63)，并揭示了沿海和岛屿地区红树林不同的生物量值。值得注意的是，位于临海边缘的高大红树林在这两个区域都表现出比矮小的红树林更高的生物量。这些发现揭示了气候变化影响可能加剧的可能性，例如由于高大红树林生产力的提高和特定的空间分布，导致海平面上升和太平洋沿岸红树林的潮差变化。认识到这些结构特征和生产差异对于制定有效的气候变化适应计划至关重要。强调将这些见解纳入管理战略，对于提高这些计划的效率和成功至关重要，为保护不同沿海地区的红树林提供强有力的解决方案。