scholarly journals Diversity of Aquatic Ecosystems in Urban Areas - Public Expectations

2015 ◽  
Vol 16 (1) ◽  
pp. 125-134
Author(s):  
Joanna Sender ◽  
Weronika Maślanko

Abstract In urban ecosystems, typically created by humans, it is very difficult to balance the needs of all its inhabitants. Significance of nature in the cities has been perceived since the ancient times. In the city there are many problems associated with the lack or sometimes excess of water, as well as poor quality. In times of water resources decline and their progressive degradation, each aquatic ecosystem should be investigated because of its values. Among the aquatic ecosystems occurring in the cities, there are: river valleys, natural lakes, water reservoirs, as well as small bodies of water. The aim of this study is to raise public awareness about the role of aquatic ecosystems in cities with different sizes and with a varying number of inhabitants. All respondents in each type of city felt the need of water presence in their surroundings and treated it as a necessary part of the proper functioning, as well as a place for rest and recreation. However, lack of management and a poor ecological status of them were noticed

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12457
Author(s):  
Ewelina Szczepocka ◽  
Paulina Nowicka-Krawczyk ◽  
Rafał M. Olszyński ◽  
Joanna Żelazna-Wieczorek

Transformation of river and stream channels disrupts their natural ecological cycles and interrupts the continuum of their ecosystems. Changes in natural hydromorphological conditions transform lotic communities into those atypical of flowing waters, resulting in bioassessment procedures yielding incorrect results. This study shows how hydromorphological transformations of ecosystems affect the ecological status bioassessment results by disturbing diatom communities typical for rivers. Moreover, the article presents a new biological assessment procedure for urban transformed rivers including the verification of the community structure based on autecology and quantity of species. The ecological status of the ecosystem was assessed using benthic diatom assemblages and supported with results of hydrochemical analysis. The structure of the assemblages and their relationships between individual sampling sites were clarified by shade plot and multivariate data analyses. The analysis of dominant species vitality at sampling sites and their autecology gave the foundation for modification of taxa data matrix and recalculation the diatom indices. Biological assessment showed that one of the artificial ponds constructed at the stream channel was characterized by good ecological status, and its presence strongly affected the state of the downstream ecosystem following the development of a unique assemblage of diatoms that prefer oligosaprobic and oligotrophic waters. The presence of these species was also noted in the downstream sections, but most of the cells were dead. As the indicator values of these taxa are high, their presence artificially increased the ecological status of the stream, resulting in the hydrochemical assessment not being in line with the bioassessment. Therefore, a new procedure was adopted in which non-characteristic taxa for the downstream sections were excluded from analysis. This approach corrected the results of bioassessment characterizing the ecological status of the stream as poor along its entire course, with the exception of this unique pond. For hydromorphologically transformed streams and rivers with disturbed channel continuity, the correct result of an incorrect diatom-based bioassessment may be retrieved after excluding species unusual for the type of ecosystem from the studied assemblages, i.e., the species which are unable to reproduce in that area and are only carried into it by the water flow. Assessment of the ecological status of aquatic ecosystems based on biotic factors is an essential tool of aquatic ecosystems monitoring in many countries. This type of assessment requires a multifaceted approach, in particular, to identify factors that may disrupt this assessment. Standardization of biomonitoring methods is an important step in correct assessment; thus, the findings of this paper will be useful in routine biomonitoring around the world.


2021 ◽  
Vol 20 (1) ◽  
pp. 001
Author(s):  
Aleksandar Milosavljević ◽  
Đurađ Milošević ◽  
Bratislav Predić

Aquatic insects and other benthic macroinvertebrates are mostly used as bioindicators of the ecological status of freshwaters. However, an expensive and time-consuming process of species identification represents one of the key obstacles for reliable biomonitoring of aquatic ecosystems. In this paper, we proposed a deep learning (DL) based method for species identification that we evaluated on several available public datasets (FIN-Benthic, STONEFLY9, and EPT29) along with our Chironomidae dataset (CHIRO10). The proposed method relies on three DL techniques used to improve robustness when training is done on a relatively small dataset: transfer learning, data augmentation, and feature dropout. We applied transfer learning by employing ResNet-50 deep convolutional neural network (CNN) pretrained on ImageNet 2012 dataset. The results show significant improvement compared to original contributions and confirms that there is a considerable gain when there are multiple images per specimen.


Author(s):  
M. A. Dogon-Yaro ◽  
P. Kumar ◽  
A. Abdul Rahman ◽  
G. Buyuksalih

Mapping of trees plays an important role in modern urban spatial data management, as many benefits and applications inherit from this detailed up-to-date data sources. Timely and accurate acquisition of information on the condition of urban trees serves as a tool for decision makers to better appreciate urban ecosystems and their numerous values which are critical to building up strategies for sustainable development. The conventional techniques used for extracting trees include ground surveying and interpretation of the aerial photography. However, these techniques are associated with some constraints, such as labour intensive field work and a lot of financial requirement which can be overcome by means of integrated LiDAR and digital image datasets. Compared to predominant studies on trees extraction mainly in purely forested areas, this study concentrates on urban areas, which have a high structural complexity with a multitude of different objects. This paper presented a workflow about semi-automated approach for extracting urban trees from integrated processing of airborne based LiDAR point cloud and multispectral digital image datasets over Istanbul city of Turkey. The paper reveals that the integrated datasets is a suitable technology and viable source of information for urban trees management. As a conclusion, therefore, the extracted information provides a snapshot about location, composition and extent of trees in the study area useful to city planners and other decision makers in order to understand how much canopy cover exists, identify new planting, removal, or reforestation opportunities and what locations have the greatest need or potential to maximize benefits of return on investment. It can also help track trends or changes to the urban trees over time and inform future management decisions.


2021 ◽  
Vol 4 ◽  
Author(s):  
Valentin Vasselon ◽  
Éva Ács ◽  
Salomé Almeida ◽  
Karl Andree ◽  
Laure Apothéloz-Perret-Gentil ◽  
...  

During the past decade genetic approaches have been developed to monitor biodiversity in aquatic ecosystems. These enable access to taxonomic and genetic information from biological communities using DNA from environmental samples (e.g. water, biofilm, soil) and methods based on high-throughput sequencing technologies, such as DNA metabarcoding. Within the context of the Water Framework Directive (WFD), such approaches could be applied to assess Biological Quality Elements (BQE). These are used as indicators of the ecological status of aquatic ecosystems as part of national monitoring programs of the european network of 110,000 surface water monitoring sites with 79.5% rivers and 11% lake sites (Charles et al. 2020). A high-throughput method has the potential to increase our spatio-temporal monitoring capacity and to accelerate the transfer of information to water managers with the aim to increase protection of aquatic ecosystems. Good progress has been made with developing DNA metabarcoding approaches for benthic diatom assemblages. Technological innovation and protocol optimization have allowed robust taxonomic (species) and genetic (OTU, ESV) information to be obtained from which diatom quality indices can be calculated to infer ecological status to rivers and lakes. Diatom DNA metabarcoding has been successfully applied for biomonitoring at the scale of national river monitoring networks in several countries around the world and can now be considered technically ready for routine application (e.g. Apothéloz-Perret-Gentil et al. 2017, Bailet et al. 2019, Mortágua et al. 2019, Vasselon et al. 2019, Kelly et al. 2020, Pérez-Burillo et al. 2020, Pissaridou et al. 2021). However, protocols and methods used by each laboratory still vary between and within countries, limiting their operational transferability and the ability to compare results. Thus, routine use of DNA metabarcoding for diatom biomonitoring requires standardization of all steps of the metabarcoding procedure, from the sampling to the final ecological status assessment in order to define good practices and standards. Following previous initiatives which resulted in a CEN technical report for biofilm sampling and preservation (CEN 2018), a set of experiments was initiated during the DNAqua-Net WG2 diatom workshop (Cyprus, 2019) to focus on DNA extraction and PCR amplification steps in order to evaluate: i) the transferability and reproducibility of a protocol between different laboratories; ii) the variability introduced by different protocols currently applied by the scientific community. 19 participants from 14 countries performed DNA extraction and PCR amplification in parallel, using i) the same fixed protocol and ii) their own protocol. Experiments were performed by each participant on a set of standardized DNA and biofilm samples (river, lake, mock community). In order to specifically test the variability of DNA extraction and PCR amplification steps, all other steps of the metabarcoding process were fixed and the preparation of the Miseq sequencing was performed by only one laboratory. The variability within and between participants will be evaluated on DNA extracts quantity, taxonomic (genus, species) and genetic richness, community structure comparison and diatom quality index scores (IPS). We will also evaluate the variability introduced by different DNA extraction and PCR amplification protocols on diatom quality index scores and the final ecological status assessment. The results from this collaborative work will not serve to define “one protocol to rule them all”, but will provide valuable information to define guidelines and minimum requirements that should be considered when performing diatom metabarcoding for biomonitoring.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Adam D Kay ◽  
Elizabeth Scherber ◽  
Hunter Gaitan ◽  
Amanda Lovelee

AbstractUnderstanding the environmental consequences of urbanization is a pressing objective, and more experimental ecology in urban areas would be useful in meeting this goal. Here we introduce the concept of Transitional Ecology, which involves incorporating ecological field research into temporary public art on vacant urban land. Ecological experiments can yield useful results about urban systems over short time periods. Incorporating such experiments into temporary public art allows the space to provide diverse community benefits. Although this fusion introduces challenges for both ecologists and artists, it can also create formal and informal science training activities while raising public awareness of environmental science. We illustrate these challenges and opportunities with the Urban Flower Field, a phytoremediation project in a temporary urban park.


2019 ◽  
Vol 11 (22) ◽  
pp. 6496 ◽  
Author(s):  
Sarbassov ◽  
Sagalova ◽  
Tursunov ◽  
Venetis ◽  
Xenarios ◽  
...  

The exponential population growth in urban areas makes existing solid waste management policies and strategies challenging. The situation becomes more strenuous in fast-growing cities where increasing waste production can hardly be met by the capacity of existing facilities. Practices like waste prevention, recycling, reuse, and recovery are fundamental elements needed for the reduction of solid waste disposed in landfills, especially in fast-growing cities where more sustainable management practices need to be adopted. This study investigated the behavioral attitudes of citizens of the capital of Kazakhstan, Nur-Sultan (former Astana), towards household solid waste disposal and separation at the source. The survey was conducted through stratified random sampling during April and July of 2018 with the participation of 3281 respondents. It is the first attempt, to our knowledge, of assessing recycling trends in Kazakhstan from the household perspective. The results showed that 24% of respondents were already sorting household solid waste despite the absence of a separation system at the source. The study further demonstrated that separation at source could be effective if the local authorities were to introduce sound public awareness campaigns and install recycling bins in close proximity to residential buildings.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 387
Author(s):  
Linghui Meng ◽  
Charles T. Driscoll ◽  
Mario Montesdeoca ◽  
Huiting Mao

In order to obtain a better perspective of the impacts of brownfields on the land–atmosphere exchange of mercury in urban areas, total gaseous mercury (TGM) was measured at two heights (1.8 m and 42.7 m) prior to 2011–2012 and after 2015–2016 for the remediation of a brownfield and installation of a parking lot adjacent to the Syracuse Center of Excellence in Syracuse, NY, USA. Prior to brownfield remediation, the annual average TGM concentrations were 1.6 ± 0.6 and 1.4 ± 0.4 ng · m − 3 at the ground and upper heights, respectively. After brownfield remediation, the annual average TGM concentrations decreased by 32% and 22% at the ground and the upper height, respectively. Mercury soil flux measurements during summer after remediation showed net TGM deposition of 1.7 ng · m − 2 · day − 1 suggesting that the site transitioned from a mercury source to a net mercury sink. Measurements from the Atmospheric Mercury Network (AMNet) indicate that there was no regional decrease in TGM concentrations during the study period. This study demonstrates that evasion from mercury-contaminated soil significantly increased local TGM concentrations, which was subsequently mitigated after soil restoration. Considering the large number of brownfields, they may be an important source of mercury emissions source to local urban ecosystems and warrant future study at additional locations.


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Francesc Alías ◽  
Rosa Ma. Alsina-Pagès

Nowadays, more than half of the world’s population lives in urban areas. Since this proportion is expected to keep rising, the sustainable development of cities is of paramount importance to guarantee the quality of life of their inhabitants. Environmental noise is one of the main concerns that has to be addressed, due to its negative impact on the health of people. Different national and international noise directives and legislations have been defined during the past decades, which local authorities must comply with involving noise mapping, action plans, policing, and public awareness, among others. To this aim, a recent change in the paradigm for environmental noise monitoring has been driven by the rise of Internet of Things technology within smart cities through the design and development of wireless acoustic sensor networks (WASNs). This work reviews the most relevant WASN-based approaches developed to date focused on environmental noise monitoring. The proposals have moved from networks composed of high-accuracy commercial devices to the those integrated by ad hoc low-cost acoustic sensors, sometimes designed as hybrid networks with low and high computational capacity nodes. After describing the main characteristics of recent WASN-based projects, the paper also discusses several open challenges, such as the development of acoustic signal processing techniques to identify noise events, to allow the reliable and pervasive deployment of WASNs in urban areas together with some potential future applications.


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