Clément Hugo, Gayet Guillaume, Baptist Florence, Porteret Jérôme, Caessteker Pierre, Magand Claire, Vivier Anne, Gaucherand Stéphanie
Laboratoire des écosystèmes et sociétés en montagne (UR 1464), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, 2 rue de la Papeterie, BP 76, Saint-Martin-d'Hères 38402, France.
Unité d'appui et de Recherche Patrimoine Naturel, Office Français de la Biodiversité, Centre National de la Recherche Scientifique, Muséum national d'Histoire Naturelle, Institut de recherche pour le développement, 36 rue Geoffroy Saint Hilaire, CP 41, Paris 75005, France.
Data Brief. 2024 Jun 21;55:110656. doi: 10.1016/j.dib.2024.110656. eCollection 2024 Aug.
Wetlands perform important functions and provide essential ecological services, including flood attenuation, groundwater recharge and discharge, and water purification. Human activities such as urban and rural development, drainage, and land alteration can cause major disturbances, often resulting in the drying up of wetlands. Therefore, many restoration projects aim to restore wetland hydrology. Hydrology significantly affects wetland functions by modifying and determining the wetlands physicochemical environment that allows for the development of a specific biota. Despite the importance of hydrology, monitoring efforts are mainly focused on surveying and characterizing wetland habitats or plant composition. There are few datasets available from the monitoring of the depth to water table (DTW) in wetlands and when available they are rarely shared. Collecting hydrological data can contribute to a better understanding of the relationship between hydrology, soil and habitat and can help understand the effect of climate change. From 2021 to 2023, depth to water table, soil and habitat data were collected across a variety of wetland types in France with a focus on hydrological data. Using data loggers placed in 37 monitoring wells across 17 wetlands, 469001 hourly depth to water table and water temperature data were collected. The dataset includes two files containing a total of 22 variables that describe the location of sites, habitat (EUNIS: European Nature Information System), soil hydromorphy, depth to water table, and water temperature. The dataset can be used to better understand wetland hydrology and its relationship to soil and habitat. The data collection process may be used to help restoration project achieve their goal.
湿地发挥着重要功能并提供关键的生态系统服务,包括洪水调蓄、地下水补给与排放以及水质净化。城乡发展、排水和土地改造等人类活动会造成重大干扰,常常导致湿地干涸。因此,许多恢复项目旨在恢复湿地水文状况。水文状况通过改变和决定湿地的物理化学环境显著影响湿地功能,而这种物理化学环境有利于特定生物群的发展。尽管水文状况很重要,但监测工作主要集中在对湿地栖息地或植物组成进行调查和特征描述。湿地地下水位深度(DTW)监测的数据集很少,即便有也很少共享。收集水文数据有助于更好地理解水文、土壤和栖息地之间的关系,并有助于了解气候变化的影响。2021年至2023年期间,在法国多种湿地类型中收集了地下水位深度、土壤和栖息地数据,重点是水文数据。通过放置在17个湿地的37口监测井中的数据记录器,收集了469001条每小时的地下水位深度和水温数据。该数据集包括两个文件,共包含22个变量,描述了地点位置、栖息地(欧洲自然信息系统EUNIS)、土壤水文形态、地下水位深度和水温。该数据集可用于更好地理解湿地水文及其与土壤和栖息地的关系。数据收集过程可用于帮助恢复项目实现其目标。