## 1 Introduction  
Natural-urban hybrid habitats are defined as natural landscapes that are close to an urban context, and they capture the interest of this work. The presence of natural wetlands in cities is vital for many animal species living in them and also offers citizens the possibility of being in touch with nature on a daily basis [1]. Wetlands provide a wide range of benefits to social welfare: (1) climate regulation through the capture of CO\({}_{2}\) emitted into the atmosphere [2]; (2) flood protection during heavy rains [3]; (3) water quality improvement (acting as filters by absorbing large amounts of nutrients and a variety of chemical contaminants) [4, 5]; (4) a habitat for preserving insects, plants and animal life [6], and (5) cultural services and non-use values [7], such as educational and artistic values [8], recreation and reflection, aesthetic experiences [9], a sense of place [10, 11] and, particularly, sonic heritage [12]. While urban wetlands provide the above mentioned benefits, concerns about their degradation have increased in recent years [13]. Most of the literature on urban wetlands assumes that they are interrelated patches [14] of a landscape mosaic [15] rather than islands separated by inhospitable habitats [16] (see Figure 1). It is clear from recent research that urban wetlands are under threat as a consequence of the intensification of anthropogenic activities associated with increases in population [17]. As a result of this phenomenon, wetland landscapes are changing, with green spaces becoming increasingly urbanized. These changes in habitats can produce competition and predation in certain species, which would modify the characteristics of the landscape [18]. This produces an increase in the fragmentation of these interrelated pieces of a mosaic and, as a result, diverse proximal patches and the loss of a connection among them, simultaneously affecting the biodiversity contained [19]. In order to deal with this issue, we took inspiration [PERSON]'s first law of geography [20], which states that if a given patch of the original mosaic, owing to anthropogenic activities, is divided into two patches, then both patches should be related. This law predicts that regardless of the distance between the two patches, they will always have interrelationships with each other, but the smaller the geographical distance between the patches, the stronger these interrelationships [21]. Thus, our first hypothesis is that the smaller the distances among urban wetlands, the more similar their acoustic environments will be. Under this hypothetical viewpoint, urban wetlands can be considered as habitat patches of a landscape mosaic that have been fractured over time because of the urban growth of the city. By investigating the temporal evolution of sonic events present in each patch, one can estimate the effects of the temporal changes in the city on these patches. In this context, in order to measure whether the sonic structures are similar among habitats, we use only acoustic features, and hence we require a substantial amount of labeled sonic data extracted from field recordings carried out in each patch. However, the process of labeling these recordings is costly and time consuming. The second hypothesis is that the use of supervised deep learning methods such as SEDnet can be faster and more time efficient than the traditional process of labeling field recordings carried out in these natural-urban habitats. We analyze interactions and temporal similarities among the habitat patches depending on their closeness in the space of the city and synchronism of acoustic events throughout the day. Valdivia is a medium-sized city in the south of Chile that is rich in urban wetlands [22]. We selected and compared three natural-urban habitats of the city. These patches have undergone intervention at varying scales over time, which may be due to their different geographical locations within the city and their interactions with the anthropogenic components of the urbanized landscape [23].