Environmental Monitoring and Assessment

Barman, Dhananjay; Chakraborty, Abhishek; Das, Prabir Kumar; Roy, Suman; Saha, Ritesh; Mazumdar, Sonali Paul; Bandyopadhyay, Soumya; Singh, Arvind Kumar; Mitra, Sabyasachi; Kundu, Dilip Kumar; Bagui, Abhishek; Murthy, C. S.; Rao, P. V. N.; Choudhury, Santanu; Kar, Gouranga

doi: 10.1007/s10661-022-09872-2pmid: 35253101

Present study is a maiden attempt to assess net ecosystem exchange (NEE) of carbon dioxide (CO2) flux from jute crop (Corchorus olitorius L.) in the Indo-Gangetic plain by using open-path eddy covariance (EC) technique. Diurnal variations of NEE were strongly influenced by growth stages of jute crop. Daytime peak NEE varied from − 5 µmol m−2 s−1 (in germination stage) to − 23 µmol m−2 s−1 (in fibre development stage). The ecosystem was net CO2 source during nighttime with an average NEE value of 5–8 μmol m−2 s−1. Combining both daytime and nighttime CO2 fluxes, jute ecosystem was found to be a net CO2 sink on a daily basis except the initial 9 days from date of sowing. Seasonal and growth stage-wise NEEs were computed, and the seasonal total NEE over the jute season was found to be − 268.5 gC m−2 (i.e. 10.3 t CO2 ha-1). In different jute growth stages, diurnal variations of NEE were strongly correlated (R2 > 0.9) with photosynthetic photon flux density (PPFD). Ecosystem level photosynthetic efficiency parameters were estimated at each growth stage of jute crop using the Michaelis–Menten equation. The maximum values of photosynthetic capacity (Pmax, 63.3 ± 1.15 µmol CO2 m−2 s−1) and apparent quantum yield (α, 0.072 ± 0.0045 µmol CO2 µmol photon−1) were observed during the active vegetative stage, and the fibre development stage, respectively. Results of the present study would significantly contribute to understanding of the carbon flux from the Indian agro-ecosystems, which otherwise are very sparse.

Abubakar, Ahmed; Ishak, Mohd Yusoff; Makmom, Abdullah Ahmad

doi: 10.1007/s10661-022-09915-8pmid: 35260915

Climate change is believed to be caused by natural processes such as volcanic eruptions, which release ash into the atmosphere, and anthropogenic activities that increase the concentration of greenhouse gases (GHGs) in the atmosphere, such as carbon dioxide (CO2), which trap energy and cause intense warming. This article conducts a comprehensive review of existing literature relating to climate change and its impact on oil palm production in Malaysia. To enable analysis, articles were arranged, sorted, and categorized into various themes and associations based on the title of the article, abstract, and later the content. The findings reveal that climate change causes variability in the intensity and duration of rainfall, which ultimately affects the production of oil palm fresh fruit bunches (FFB) and the quality of crude palm oil (CPO). The decline in FFB increased the price of crude palm oil. The impacts of climate change on oil palm vary and are felt differently in different regions. Climate change increases the vulnerability and exposure of oil palms to various diseases, exposes them to water stress, and disrupts metabolic activities. The surface temperature in Malaysia is anticipated to rise by 1.5 to 2 °C, worsening the adaptation plans. Oil palm growers explore possible ways to adapt to and withstand the impacts of climate change by adopting the use of an improved variety of oil palm seedlings, soil management and fertility preservation, silt pit, mulching, intercropping, livelihood diversification, buying insurance, and best water conservation practices.

Battuvshin, Biligt; Ikeda, Yuta; Shirasawa, Hiroaki; Chultem, Ganbaatar; Ishiguri, Futoshi; Aruga, Kazuhiro

doi: 10.1007/s10661-022-09941-6pmid: 35325294

In this study, we estimated the technoeconomic availability of three types of dead trees, namely commercially fallen, normally fallen, and standing, in Mongolian subgroups. For dead trees of three major Mongolian tree species (Siberian larch, Scotch pine, and Asian white birch), lumber, firewood, and unused material as sources of energy were quantified and operational costs (marking, felling, skidding, transporting, loading/unloading, processing, and stumpage prices) were estimated. As a result, most Mongolian subgroups were profitable and suitable for the harvest of unused materials. Moreover, unused materials of dead trees can substitute nearly 5.45 million tons of coal, although it is not sufficient to meet the 0.6 years of coal demand across Mongolia. However, in some places, unused dead wood materials can completely substitute coal for decades. Therefore, although the heat utilization of woody biomass is not suitable for Mongolia as a whole, it is feasible in specific regions where forest resources are abundant, such as some Mongolian sub-provinces. Promoting the use of dead trees can reduce the risk of damage caused by wildfires and pests, which are serious problems in Mongolia, and keep the forests healthy. Furthermore, unused materials can generate new income opportunities, and the forest land can be well prepared by removing dead trees to promote planting for sustainable forest management. Finally, dead trees can be used as a resource until transition to sustainable forests with living trees.

Rangel-Osornio, Violeta; Gómez-Reyes, Víctor Manuel; Cuevas-Villanueva, Ruth Alfaro; Fernández-Salegui, Ana Belén; Bermea, Ofelia Morton; Álvarez, Elizabeth Hernández

doi: 10.1007/s10661-022-09873-1pmid: 35244786

The deposition of trace elements around a pulp and paper industry in Morelia, Mexico, was evaluated using two lichen species as biomonitors. Samples of the foliose lichen Flavopunctelia praesignis and the fruticose lichen Usnea ceratina were collected in two remote areas and transplanted at different distances and directions from the pollution source. Lichen samples were exposed for 4 months (1) around the industrial area and (2) in their native habitats (control sites). We investigated the bioaccumulation of 11 trace elements in lichen thalli, and we compared the response of the two lichen species. To identify possible common sources, we evaluated the relationships between trace elements by correlations and cluster analyses. Our results showed that Cd was a good tracer for air pollution from the pulp and paper mills. In samples of Usnea ceratina exposed around the industrial area, Cd was significantly higher than in the remote area. Within the study area, trace element contents increase with the distance from the source, and they showed high depositions in the direction of prevailing winds. Moreover, we were able to detect groups of elements with similar behavior and common origins. Our results indicated that Flavopunctelia praesignis showed a higher capacity to accumulate trace elements than Usnea ceratina.

Ou, Shengju; Wei, Wei; Cai, Bin; Yao, Shiyin; Wang, Kai; Cheng, Shuiyuan

doi: 10.1007/s10661-022-09951-4pmid: 35314915

Co-pollution of surface O3 and PM2.5 has become the most predominant type of air pollutions in Beijing-Tianjin-Hebei region in the hot season since 2017, particularly in May–July. Analysis based on observational data showed that co-pollution was always accompanied by high temperature, moderate relative humidity, extremely high SO2, and higher NO2. We also found that the meteorology and precursor dependence of O3 was similar between co-pollution and O3- single pollution. While PM2.5 in co-pollution was more related to temperature, relative humidity, and precursors, that in PM2.5-singe pollution were more related to small winds. These results indicate that co-pollution seemed to be more affected by atmospheric chemistry. According to the PM2.5 components, secondary inorganic aerosols (SIA) composed 44.3–48.7% of PM2.5 in co-pollution, while those accounting for 42.1–46.5% and 41.2–44.3%, respectively, in O3- and PM2.5-single pollution, which further confirmed the relatively stronger atmospheric chemistry processes in co-pollution. And the high proportion of SIA in co-pollution was mainly attributed to SO42−, which was observed to rapidly boom in non-refractory submicron aerosol (NR-PM1) on the condition of high level of O3 at daytime. Additionally, we further explored the interactions of O3 and PM2.5 in co-pollution. It was found that most (~61.9%) co-pollution episodes were initiated by high O3 at daytime; while for other episodes, high PM2.5 firstly occurred under the more stable meteorological conditions, and then accumulation of precursors further induced high O3. A higher SIA concentration was observed in O3-initiated co-pollution, indicating that the atmospheric oxidation in co-pollution caused by chemical processes was stronger than that by physical processes, which was further approved by the higher values of SOR and NOR in O3-initiated co-pollution. This observational study revealed that controlling O3 and precursor SO2 is the key to abating co-pollution in the hot season.Graphical abstract[graphic not available: see fulltext]

Mngadi, Mthembeni; Odindi, John; Mutanga, Onisimo; Sibanda, Mbulisi

doi: 10.1007/s10661-022-09904-xpmid: 35243559

A dearth of information on urban ecosystem services in the past decades has led to little consolidation of such information for informed planning, decision-making and policy development in sub-Saharan African cities. However, the increasing recognition of the value of urban ecological processes and services as well as their contribution to climate change adaptation and mitigation has recently become an area of great research interest. Specifically, the emerging geospatial analytical approaches like remote sensing have led to an increase in the number of studies that seek to quantify and map urban ecosystem services at varying scales. Hence, this study sought to review the current remote sensing trends, challenges and prospects in quantifying urban ecosystem services in sub-Saharan Africa cities. Literature shows that consistent modelling and understanding of urban ecosystem services using remotely sensed approaches began in the 1990s, with an average of five publications per year after around 2010. This is mainly attributed to the approach’s ability to provide fast, accurate and repeated spatial information necessary for optimal and timely quantification and mapping of urban ecosystem services. Although commercially available high spatial resolution sensors (e.g. the Worldview series, Quickbird and RapidEye) with higher spatial and spectral properties have been valuable in providing highly accurate and reliable data for quantification of urban ecosystem services, their adoption has been limited by high image acquisition cost and small spatial coverage that limits regional assessment. Thus, the newly launched sensors that provide freely and readily available data (i.e. Landsat 8 and 9 OLI, Sentinel-2) are increasingly becoming popular. These sensors provide data with improved spatial and spectral properties, hence valuable for past, current and future urban ecosystem service assessment, especially in developing countries. Therefore, the study provides guidance for future studies to continuously assess urban ecosystem services in order to achieve the objectives of Kyoto Protocol and Reducing Emissions from Deforestation and forest Degradation (REDD +) of promoting climate-resilient and sustainable cities, especially in developing world.

Fitts, Lucia A.; Domke, Grant M.; Russell, Matthew B.

doi: 10.1007/s10661-022-09948-zpmid: 35348883

Forest disturbances play a critical role in ecosystem dynamics. However, the methods for quantifying these disturbances at broad scales may underestimate disturbances that affect individual trees. Utilizing individual tree variables may provide early disturbance detection that directly affects tree demographics and forest dynamics. The goals of this study were to (1) describe different methods for quantifying disturbances at individual tree and condition-level scales, (2) compare the differences between disturbance variables, and (3) provide a methodology for selecting an appropriate disturbance variable from national forest inventories for diverse applications depending on user needs. To achieve these goals, we used all the remeasurements available from the USDA Forest Inventory and Analysis (FIA) database since the start of the annual inventory for the lower 48 US states. Variables used included disturbance code, treatment code, agent of mortality, and damage code. Chi-square tests of independence were used to verify how the choice of the variable that represents disturbance affects its magnitude. Disturbed plots, as classified by each disturbance variable, were mapped to observe their spatial distribution. We found that the Chi-square tests were significant when using all the states and comparing each state individually, indicating that different results exist depending on which variable is used to represent disturbance. Our results will be a useful tool to help researchers measure the magnitude and scale of disturbance since the manner in which disturbances are categorized will impact forest management plans, national and international reports of forest carbon stocks, and sequestration potential under future global change scenarios.

Soleimani-Motlagh, Mahdi; Soleimani-Sardo, Mojtaba; Mossivand, Amir Mirzaei

doi: 10.1007/s10661-022-09972-zpmid: 35347458

It is important to choose an indicator that can optimally demonstrate the effects of drought intensity on soil moisture access, evapotranspiration and the changes in vegetation cover at a regional scale. Therefore, herein, SEDI was developed by the fit of the experimental distribution of Gringorten on evapotranspiration deficit based on TerraClimate data at the time scales of 1, 3, 6 and 12 months, and its relationship with Standardized Precipitation-Evapotranspiration Index (SPEI), Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSMI), Normalized Ecosystem Drought Index (NEDI) and Normalized Difference Vegetation Index (NDVI) were investigated. The results indicated that SEDI has the highest significant correlation (above 95%) with NEDI and SPEI, especially for the 1-month time scale. This index also revealed the lowest correlation (less than 25%) with SPI on short-term time scales. The relationship between SEDI and SSMI indicated the high sensitivity of SEDI to the cumulative reduction of low amounts of soil moisture. According to the findings, the 6-month SEDI with NDVI showed the highest correlation with a 1-month delay (r = 0.64) and the best fit between them occurred in wet months. However, in the dry months, the relationship between SEDI with NDVI was affected via water availability stresses, grazing intensity and pest infestation. Finally, the use of SEDI at a regional scale, especially in arid and semi-arid regions like Lorestan, could be recognized as an important index in depicting the effects of drought on vegetation cover, due to the use of the actual evapotranspiration factor.

Mehraj, Basira; Wani, Akhlaq Amin; Gatoo, Aasif Ali; Bhat, Javaid Ahmad; Islam, M. Aijaz ul; Nazir, Nageena; Farooq, Amir; Murtaza, Shah; Baba, Afshan Anjum; Saleem, Ishrat; Buch, Khuban

doi: 10.1007/s10661-022-09922-9

Asgher, Md Sarfaraz; Kumar, Naveen; Kumari, Manisha; Ahmad, Mansoor; Sharma, Lucky; Naikoo, Mohd Waseem

doi: 10.1007/s10661-022-09841-9pmid: 35237870

The demand for water is increasing around the world due to population growth, urbanization, industrialization, etc., which is making groundwater a vital natural resource for meeting the growing demand for water. According to the central groundwater report, Jammu district has adequate groundwater potential (GWP) and comes under the safe category. However, the GWP has not been fully utilized, thereby leading to a water shortage in the district. Therefore, this study has been designed to examine the GWP zones in the Tawi River basin of Jammu district using geospatial techniques. For this, several GWP conditioning parameters, such as elevation, slope, geology, geomorphology, rainfall, soil, land use/land cover, topographic wetness index (TWI), drainage density, lineament density, roughness, and curvature, were utilized. The analytical hierarchy process (AHP) technique was used to evaluate the weights of the selected criteria after a pair-wise comparison of each criterion with the rest of the criteria. The result showed that the high GWP zone accounts for 21.98% of the area, the moderate zone covers an area of 40.54%, the low GWP area accounts for about 34.91%, and only 2.57% of the area lies under the very low GWP zone. The validation of GWP zones using 25 monitoring wells showed an accuracy of 80% in GWP modeling. The findings of this study may be utilized in meeting the rising demand for water in the region.