Ecophysiological responses of tree species due to air pollution for biomonitoring of environmental health in urban area

Urban Climate ◽  
2021 ◽  
Vol 35 ◽  
pp. 100741
Author(s):  
Dipti Karmakar ◽  
Kuheli Deb ◽  
Pratap Kumar Padhy
2020 ◽  
Author(s):  
Joachim Fallmann ◽  
Helge Simon ◽  
Tim Sinsel ◽  
Marc Barra ◽  
Holger Tost

<p><span>It has been long understood that green infrastructure helps to mitigate urban heat island formation and therefore should be a key strategy in future urban planning practices. Due to its high level of heat resilience, the sycamore tree (Platanus) dominates the appearance of urban landscapes in central Europe. Under extreme climate conditions however, these species tend to emit high levels of biogenic volatile organic compounds (BVOCs) which in turn can act as precursors for tropospheric ozone, especially in highly NOx polluted environments such as urban areas. </span></p><p><span>Assessing the ozone air quality of a large urban area in Germany we use the state-of-the art regional chemical transport model MECO(n), with chemistry coming from the Modular Earth Submodel System (MESSy) and meteorology being calculated by COSMO. Including the latest version of TERRA_URB, the model is configured for the Rhine-Main urban area. In a second step, we implement parts of the regional atmospheric chemistry mechanism in the ENVI-met model framework in order to investigate the impact of isoprene emissions on ozone concentration at street level for the urban area of Mainz, Germany. </span></p><p><span>Whereas mesoscale model results only show moderate mean ozone pollution over the model area, at micro-scale level on selected hot spots we find a clear relationship between urban layout, proximity to NOx emitters, tree-species-dependent isoprene emission capacity and increase in ozone concentration. The ENVI-met study reveals, that next to tree species, its location is a key factor for its micro-climatic UHI and air pollution mitigation potential. We could show, that isoprene related ozone concentration is highly sensitive to leaf temperature, photosynthetic active radiation as well as to the proximity to NO2 pollution sources. In a street canyon with high traffic load we find significant correlations between diurnal boundary layer dynamics, morning and evening rush hour and ambient ozone levels. For a hot summer day in particular, we simulate ozone concentrations rising up to 500% within a weakly ventilated street canyon with a high amount of strong isoprene emitters being present.</span></p><p><span>We summarize that combining findings from meso- and microscale model systems can be an important asset for science tools for cities in the framework of climate change adaption and mitigation </span><span>and air pollution abatement</span><span> strategies.</span></p>


2021 ◽  
Vol 63 (4) ◽  
pp. 267-275
Author(s):  
Olga Kukina ◽  
Eugenia Kardash ◽  
Inna Shvydenko

Abstract Urban stands are becoming increasingly important in improving the environmental health and liveability of cities. However, they weaken as a result of technogenic air pollution and become vulnerable to pests, particularly to non-native forest insects. The aim of this research was to assess potential harmfulness (bionomically determined harmfulness [BDH]), environmentally determined harmfulness (EDH) and generally expected harmfulness (GEH) of the gnawing phyllophagous lepidopterous insects in the green stands of Kharkiv (Ukraine). All supplementary parameters were assessed by analysis of publications and the own experience of authors. BDH was evaluated as a product of the duration of larvae nutrition (p1) and an index of larvae nutrition (p2). An index of larvae nutrition (p2) was considered being proportional to their imago wingspan. EDH was evaluated as a product of the value of damaged tree species (p3), location of plant damage (p4), the period of loss decorative effect (p5) and the prevalence of certain insect species in the stands (p6). GEH was estimated as a product of BDH, EDH and the ability of insect species to the outbreaks (p7). A modified approach for evaluation BDH, EDH and GEH was suggested and implemented, considering phyllophagous leaf miner insects and phyllophagous insects with open lifestyle in the deciduous stands of streets, parks, and Forest Park of Kharkiv city. EDH of insects with an open lifestyle depends on their size and prevalence in the stand. EDH and GEH of all revealed insects with an open lifestyle increase from streets to Forest Park. Among the insects with an open lifestyle, Lymantriidae and Notodontidae had the highest BDH due to the large size and long feeding period of larvae. Among the insects with hidden lifestyle, Cameraria ohridella had the highest BDH due to the highest prevalence and the large duration of feeding period with its several generations.


2021 ◽  
Vol 150 ◽  
pp. 106426
Author(s):  
Jie Tian ◽  
Qiyuan Wang ◽  
Yong Zhang ◽  
Mengyuan Yan ◽  
Huikun Liu ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 236
Author(s):  
Ha Na You ◽  
Myeong Ja Kwak ◽  
Sun Mi Je ◽  
Jong Kyu Lee ◽  
Yea Ji Lim ◽  
...  

Environmental pollution is an important issue in metropolitan areas, and roadside trees are directly affected by various sources of pollution to which they exhibit numerous responses. The aim of the present study was to identify morpho-physio-biochemical attributes of maidenhair tree (Ginkgo biloba L.) and American sycamore (Platanus occidentalis L.) growing under two different air quality conditions (roadside with high air pollution, RH and roadside with low air pollution, RL) and to assess the possibility of using their physiological and biochemical parameters as biomonitoring tools in urban areas. The results showed that the photosynthetic rate, photosynthetic nitrogen-use efficiencies, and photochromic contents were generally low in RH in both G. biloba and P. occidentalis. However, water-use efficiency and leaf temperature showed high values in RH trees. Among biochemical parameters, in G. biloba, the lipid peroxide content was higher in RH than in RL trees, but in P. occidentalis, this content was lower in RH than in RL trees. In both species, physiological activities were low in trees planted in areas with high levels of air pollution, whereas their biochemical and morphological variables showed different responses to air pollution. Thus, we concluded that it is possible to determine species-specific physiological variables affected by regional differences of air pollution in urban areas, and these findings may be helpful for monitoring air quality and environmental health using trees.


Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 692
Author(s):  
MD Abdul Mueed Choudhury ◽  
Ernesto Marcheggiani ◽  
Andrea Galli ◽  
Giuseppe Modica ◽  
Ben Somers

Currently, the worsening impacts of urbanizations have been impelled to the importance of monitoring and management of existing urban trees, securing sustainable use of the available green spaces. Urban tree species identification and evaluation of their roles in atmospheric Carbon Stock (CS) are still among the prime concerns for city planners regarding initiating a convenient and easily adaptive urban green planning and management system. A detailed methodology on the urban tree carbon stock calibration and mapping was conducted in the urban area of Brussels, Belgium. A comparative analysis of the mapping outcomes was assessed to define the convenience and efficiency of two different remote sensing data sources, Light Detection and Ranging (LiDAR) and WorldView-3 (WV-3), in a unique urban area. The mapping results were validated against field estimated carbon stocks. At the initial stage, dominant tree species were identified and classified using the high-resolution WorldView3 image, leading to the final carbon stock mapping based on the dominant species. An object-based image analysis approach was employed to attain an overall accuracy (OA) of 71% during the classification of the dominant species. The field estimations of carbon stock for each plot were done utilizing an allometric model based on the field tree dendrometric data. Later based on the correlation among the field data and the variables (i.e., Normalized Difference Vegetation Index, NDVI and Crown Height Model, CHM) extracted from the available remote sensing data, the carbon stock mapping and validation had been done in a GIS environment. The calibrated NDVI and CHM had been used to compute possible carbon stock in either case of the WV-3 image and LiDAR data, respectively. A comparative discussion has been introduced to bring out the issues, especially for the developing countries, where WV-3 data could be a better solution over the hardly available LiDAR data. This study could assist city planners in understanding and deciding the applicability of remote sensing data sources based on their availability and the level of expediency, ensuring a sustainable urban green management system.


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