Data for paper "Influence of landscape characteristics and submerged aquatic vegetation on sediment carbon and nitrogen storage in brackish-water habitats

This dataset includes the data behind the paper "Influence of landscape characteristics and submerged aquatic vegetation on sediment carbon and nitrogen storage in shallow brackish-water habitats". We quantify the amount of organic carbon (Corg) and total nitrogen (TN) in shallow bay sediments (0-25 cm) in the brackish Baltic Sea and assess how it varies with morphometric isolation from the sea, catchment characteristics and abundance of brackish-water vegetation. We sampled sediment (3-4 sediment cores per bay), surveyed submerged vegetation and derived landscape characteristics from maps and satellite imagery. A full description of the data and methods for data collection is given in the published paper.The file "Data per bay" includes data on sediment characteristics, aquatic vegetation and landscape characteristics for the nine study bays. The sediment characteristics are mean values for the 3 to 4 cores per bay (data in "Data per core"). Vegetation characteristics were derived both for the vegetation community directly around the sampling stations (data in "Data per core") and for the vegetation community in the entire bay. The data was used for PLS regression modelling to assess the relative importance of different factors on sediment carbon and nitrogen.The file "Data per core section" includes sediment data in each section of the sediment cores, which were used to plot sediment profiles and calculate mean and total sediment characteristics in the upper 25 cm. The cores were sectioned in three parts: 0-5 cm (A), 5-12.5 cm (B) and 12.5-25 cm (C).The file "Data per core" includes mean and total sediment characteristics for the upper 25 cm in all sediment cores. It also includes water depth and vegetation characteristics at the sampling stations. This data was used to test for differences in sediment characteristics between the bays.The file "Patches in 3 bays" includes data from an additional small-scale sampling of patches with vegetation and unvegetated patches in three of the bays. Here, we only sampled the upper 5 cm of sediment in the patches.

本数据集支撑了学术论文《浅咸水栖息地景观特征与沉水水生植被对沉积物碳氮储存的影响》（英文原文："Influence of landscape characteristics and submerged aquatic vegetation on sediment carbon and nitrogen storage in shallow brackish-water habitats"）的相关研究。本研究定量分析了咸水波罗的海浅湾沉积物（0~25 cm深度）中的有机碳（organic carbon, Corg）与总氮（total nitrogen, TN）储量，并评估其随海湾与外海的形态学隔离程度、流域特征以及咸水植被丰度的变化规律。研究团队采集了沉积物样品（每个海湾采集3~4根沉积物岩芯），调查了沉水植被覆盖情况，并通过地图与卫星影像提取景观特征参数。本数据集的完整说明与数据采集方法已发表于上述论文中。"分海湾数据集"（Data per bay）包含9个研究海湾的沉积物特征、水生植被特征与景观特征数据。其中沉积物特征为每个海湾3~4根岩芯的平均值（原始岩芯数据见"分岩芯数据集"（Data per core））。植被特征同时提取自采样站点周边的植被群落（数据见"分岩芯数据集"）以及整个海湾范围内的植被群落。本数据集被用于偏最小二乘（Partial Least Squares, PLS）回归建模，以评估不同因子对沉积物碳、氮储量的相对重要性。"分岩芯分层数据集"（Data per core section）包含沉积物岩芯各分层的沉积物数据，用于绘制沉积物剖面并计算0~25 cm上层沉积物的平均与总特征参数。所有岩芯被分为三层：0~5 cm（A层）、5~12.5 cm（B层）以及12.5~25 cm（C层）。"分岩芯数据集"（Data per core）包含所有沉积物岩芯0~25 cm上层的平均与总沉积物特征参数，同时包含采样站点的水深与植被特征数据。该数据集被用于检验不同海湾间沉积物特征的差异。"三个海湾的植被斑块数据集"（Patches in 3 bays）包含针对其中3个海湾的植被斑块与无植被斑块开展的额外小尺度采样数据。本次采样仅采集了斑块内0~5 cm深度的沉积物样品。