{"title":"A Novel Method for Treating Heavy Metal-Contaminated Soil: The Combined Electrokinetics and Permeable Reactive Barrier Technique","authors":"W. Liu, Y. Yu","doi":"10.3808/jeil.202100055","DOIUrl":"https://doi.org/10.3808/jeil.202100055","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115817688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To assess and monitor the environmental dynamics on a regional or global scale, Land Surface Temperature (LST) has been estimated for South Mumbai, using Landsat data for the years 2000, 2010, 2015, and 2020. The urban heat island (UHI) effect has also been assessed by analysing the LST pattern in the study area. The normalized difference vegetation index (NDVI) analysis shows that LST and UHI effects are less when vegetation cover is high. On the contrary, the normalized difference built-up index (NDBI) is directly proportional to LST which indicates the impact of human activities on LST as well as UHI. The relationship between LST of the study area and ambient air temperature has shown a strong correlation with an increasing trend of LST from 2000 to 2020. The study reveals that the average LST of Mumbai has been increased from 27.1 to 32.7 °C in the last twenty years. The ward-wise temperature profile analysis has been carried out to address the worst thermal discomfort zone and associated population. The study suggests increasing the green space for maintaining the average LST in Mumbai. This study provides a baseline for future studies like LST and human health, climate change, assessment of the ecological status, etc. of the urban environment.
{"title":"Impact of land-use dynamics on land surface temperature in Mumbai city, India: A geospatial approach","authors":"S. Waghchaure, R. Vijay, J. Dey, C. Thakre","doi":"10.3808/jeil.202200080","DOIUrl":"https://doi.org/10.3808/jeil.202200080","url":null,"abstract":"To assess and monitor the environmental dynamics on a regional or global scale, Land Surface Temperature (LST) has been estimated for South Mumbai, using Landsat data for the years 2000, 2010, 2015, and 2020. The urban heat island (UHI) effect has also been assessed by analysing the LST pattern in the study area. The normalized difference vegetation index (NDVI) analysis shows that LST and UHI effects are less when vegetation cover is high. On the contrary, the normalized difference built-up index (NDBI) is directly proportional to LST which indicates the impact of human activities on LST as well as UHI. The relationship between LST of the study area and ambient air temperature has shown a strong correlation with an increasing trend of LST from 2000 to 2020. The study reveals that the average LST of Mumbai has been increased from 27.1 to 32.7 °C in the last twenty years. The ward-wise temperature profile analysis has been carried out to address the worst thermal discomfort zone and associated population. The study suggests increasing the green space for maintaining the average LST in Mumbai. This study provides a baseline for future studies like LST and human health, climate change, assessment of the ecological status, etc. of the urban environment.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Advancement of renewable energy is critical for sustainable development. This paper evaluates the feasibility of saline gradient solar ponds (SGSP) as an alternative energy source for Saskatchewan, Canada. The main achievements include global appraisal of SGSP from theoretical and practical perspectives, assessment of salinity and climatic criteria for SGSP potential, understanding of heat transfer mechanisms affected by thermophysical properties, and numerical modeling to simulate transient heat diffusion in SGSP. Results indicated that Saskatchewan is ideal for thermal energy harvesting from saline water bodies because of high solar insolation (1100 to 1400 kWh/m). The solar radiation in such systems is captured under a salt concentration gradient. Locally, ten potash tailings sites (360 g/L or 36% salt) and two saline water lakes (250 g/L or 25% salt) are potentially suitable for SGSP deployment. It was found that thermal conductivity increases with temperature but decreases with water salinity increase (0.55 to 0.675 W/mK) and the opposite is true for density (1000 to 1200 kg/m). Similarly, specific heat capacity slightly increases with temperature and inversely correlates with salinity (3000 to 4200 J/kg K). Furthermore, the heat diffusion model adequately simulated the temperature distribution for a typical SGSP in a potash tailings containment facility. For the investigated month of July (highest solar insolation), the temperatures increased from an initial value of at 20 to 52 oC at top to 37 oC at bottom. A comprehensive risk assessment of this method is required to protect air, water, soil, and biota at specific sites.
{"title":"Feasibility of Saline Gradient Solar Ponds as Thermal Energy Sources in Saskatchewan, Canada","authors":"M. Ito, S. Azam","doi":"10.3808/jeil.201900008","DOIUrl":"https://doi.org/10.3808/jeil.201900008","url":null,"abstract":"Advancement of renewable energy is critical for sustainable development. This paper evaluates the feasibility of saline gradient solar ponds (SGSP) as an alternative energy source for Saskatchewan, Canada. The main achievements include global appraisal of SGSP from theoretical and practical perspectives, assessment of salinity and climatic criteria for SGSP potential, understanding of heat transfer mechanisms affected by thermophysical properties, and numerical modeling to simulate transient heat diffusion in SGSP. Results indicated that Saskatchewan is ideal for thermal energy harvesting from saline water bodies because of high solar insolation (1100 to 1400 kWh/m). The solar radiation in such systems is captured under a salt concentration gradient. Locally, ten potash tailings sites (360 g/L or 36% salt) and two saline water lakes (250 g/L or 25% salt) are potentially suitable for SGSP deployment. It was found that thermal conductivity increases with temperature but decreases with water salinity increase (0.55 to 0.675 W/mK) and the opposite is true for density (1000 to 1200 kg/m). Similarly, specific heat capacity slightly increases with temperature and inversely correlates with salinity (3000 to 4200 J/kg K). Furthermore, the heat diffusion model adequately simulated the temperature distribution for a typical SGSP in a potash tailings containment facility. For the investigated month of July (highest solar insolation), the temperatures increased from an initial value of at 20 to 52 oC at top to 37 oC at bottom. A comprehensive risk assessment of this method is required to protect air, water, soil, and biota at specific sites.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"512 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ecosystem Services Flow and Its Coupling Evaluate of Supply and Demand — A Case Study of Yihe River Basin","authors":"H. Liu, S. Ding, J. Ren","doi":"10.3808/jeil.202100072","DOIUrl":"https://doi.org/10.3808/jeil.202100072","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123380445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study of heavy metal interactions with soils under specific climatic circumstances might lead to a better understanding of heavy metal migration and provide further information for local pollution control. In this work, we collected soil samples from the world's largest light rare earth mining district, Bayan Obo mine district, and assessed the heavy metal content in the soil at various depths. The extraction effectiveness of Diethylenetriaminepentaacetic acid (DTPA) and Toxicity Characteristic Leaching Procedure (TCLP) for heavy metals in surface soil were compared. Furthermore, we studied the longitudinal transport of heavy metals under precipitation conditions using simulated experiments and kinetic fitting. We discovered that pH has a significant impact on heavy metal release. Precipitation easily transports Zn, Pb, and Cr to deeper layers of the soil. The modified Elvoich equation could better describe heavy metal release patterns.
{"title":"Simulation of Heavy Metals Migration in Soil of Rare Earth Mining Area","authors":"Y. F. Luo, Z. Wang, C. Zheng","doi":"10.3808/jeil.202200094","DOIUrl":"https://doi.org/10.3808/jeil.202200094","url":null,"abstract":"The study of heavy metal interactions with soils under specific climatic circumstances might lead to a better understanding of heavy metal migration and provide further information for local pollution control. In this work, we collected soil samples from the world's largest light rare earth mining district, Bayan Obo mine district, and assessed the heavy metal content in the soil at various depths. The extraction effectiveness of Diethylenetriaminepentaacetic acid (DTPA) and Toxicity Characteristic Leaching Procedure (TCLP) for heavy metals in surface soil were compared. Furthermore, we studied the longitudinal transport of heavy metals under precipitation conditions using simulated experiments and kinetic fitting. We discovered that pH has a significant impact on heavy metal release. Precipitation easily transports Zn, Pb, and Cr to deeper layers of the soil. The modified Elvoich equation could better describe heavy metal release patterns.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133971607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. A low-tech water treatment system with a novel configuration is described which delivers safe water (>3 log-removal of E. coli ), has low cost, provides safe water in quantities for a household for substantial time periods, is easy to maintain, robust against breakage, and avoids recontamination. Due to the unique design, the Guelph Water Filtration system (Guelph Water Filter) remains functional for periods substantially longer than previous technologies, providing ~6 years for delivery of treated water at flow rates exceeding 1 L/hr (for low turbidity (0.05 ~ 1.00 NTU) source water). The ceramic filter components of the system are easily replaceable in the filter housing and the Guelph Water Filter is feasible as a village-level production/employment opportunity. The long-term performance of the ceramic filter component of the Guelph system improves longevity of performance by reducing clogging and enables two filter elements to be used in a single filter housing (doubling the surface area through which filtration occurs). Placing the filter in a large reservoir (pail) also significantly reduces the frequency of the need to refill raw water (alternative filter designs require refilling and monitoring multiple times per day).
{"title":"Design and Performance for A Novel Low-Tech Water Filter System","authors":"E. McBean, C. Farrow","doi":"10.3808/JEIL.202100059","DOIUrl":"https://doi.org/10.3808/JEIL.202100059","url":null,"abstract":". A low-tech water treatment system with a novel configuration is described which delivers safe water (>3 log-removal of E. coli ), has low cost, provides safe water in quantities for a household for substantial time periods, is easy to maintain, robust against breakage, and avoids recontamination. Due to the unique design, the Guelph Water Filtration system (Guelph Water Filter) remains functional for periods substantially longer than previous technologies, providing ~6 years for delivery of treated water at flow rates exceeding 1 L/hr (for low turbidity (0.05 ~ 1.00 NTU) source water). The ceramic filter components of the system are easily replaceable in the filter housing and the Guelph Water Filter is feasible as a village-level production/employment opportunity. The long-term performance of the ceramic filter component of the Guelph system improves longevity of performance by reducing clogging and enables two filter elements to be used in a single filter housing (doubling the surface area through which filtration occurs). Placing the filter in a large reservoir (pail) also significantly reduces the frequency of the need to refill raw water (alternative filter designs require refilling and monitoring multiple times per day).","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Padovese, Sao Paulo Brazil Rua Gomes de Medeiros, L. Padovese
Bird population census is an important indicator in conservation programs. However, the process of detecting and identifying particular species is time-consuming and challenging, often being conducted in remote locations. In this scenario, the development of automated acoustic systems for bird monitoring is crucial. In this study, we propose a simple but effective 3-step approach for identifying the Amazona rhodocorytha, an endangered Brazilian parrot, among 4 other species belonging to the same family. This approach consists of a pre-processing step, a feature extraction step using the MFCC algorithm and a classification step by employing an Artificial Neural Network. Results show that the proposed approach is both suitable and robust for this type of application, achieving excellent classification results of up to 98% accuracy.
{"title":"Machine Learning for Identifying an Endengered Brazilian Psittacidae Species","authors":"B. Padovese, Sao Paulo Brazil Rua Gomes de Medeiros, L. Padovese","doi":"10.3808/jeil.201900013","DOIUrl":"https://doi.org/10.3808/jeil.201900013","url":null,"abstract":"Bird population census is an important indicator in conservation programs. However, the process of detecting and identifying particular species is time-consuming and challenging, often being conducted in remote locations. In this scenario, the development of automated acoustic systems for bird monitoring is crucial. In this study, we propose a simple but effective 3-step approach for identifying the Amazona rhodocorytha, an endangered Brazilian parrot, among 4 other species belonging to the same family. This approach consists of a pre-processing step, a feature extraction step using the MFCC algorithm and a classification step by employing an Artificial Neural Network. Results show that the proposed approach is both suitable and robust for this type of application, achieving excellent classification results of up to 98% accuracy.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133324042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ecosystem services (ES) can link natural ecosystems with socioeconomic systems. The Yi River basin is one of the most important sub-basins of the Yellow River basin, and the landscape pattern of this basin has changed dramatically in recent years. However, the assessment of landscape patterns on ecosystem services value (ESV) in such basin has been little studied. Therefore, the temporal-spatial evolution of the landscape pattern and ESV of the Yi River basin was evaluated through the landscape indices analysis method and the method for evaluating the value equivalent factor in unit area, based on land cover data from 1987 to 2020. The effects of changes in landscape patterns on ESV were then quantified. The results show that (1) Forest was the dominant landscape type in the Yi River basin, followed by grassland, with the total area of both accounting for 80% of the basin area. From 1987 to 2020, the area of forest and construction land has increased, while that of farmland and grassland has decreased. In addition, the stability of the landscape within the basin was low, and the fragmentation of patches was serious. The landscape shape index (LSI) for 2015 and 2020 was 52.57 and 42.38, respectively, and Shannon's diversity index (SHDI) value increased from 1.04 to 1.17 in the same period, indicating that the degree of heterogeneity in the landscape of the Yi River basin was considerably reduced and the dominant patches were well connected. (2) From 1987 to 2020, the total ESV (supply, regulation, support, and cultural services) in the Yi River basin showed an “N” pattern of variation. Specifically, such total ESV increased noticeably from 1987 to 2005, decreased after 2005, bottomed out in 2015, and began to recover by 2020. Forest regulating services contributed the most to the total ESV at 77%. (3) The results of correlation analysis displayed that total ESV was negatively correlated with LSI and positively correlated with SHDI. Moreover, water supply services had a significant inverse relationship with the largest patch index (LPI), LSI, and SHDI. The LSI and patch density index (PD) had a strong positive correlation with biodiversity. Human activities (e.g., urbanization) were found to be the main drivers of a landscape pattern change and ESV decline in the Yi River basin, thus the level of biodiversity and overall ecosystem service provision in such basin can be improved by increasing the degree of landscape heterogeneity and reducing the complexity of landscape shape. The assessment of the evolution of landscape patterns and the quantification of its impact on ESV can help provide scientific information for improving the ecological qualify and supporting sustainable development in the Yi River basin.
{"title":"The Influence of Landscape Pattern Evolution on the Value of Ecosystem Services","authors":"H. Liu, J. Ren","doi":"10.3808/jeil.202300104","DOIUrl":"https://doi.org/10.3808/jeil.202300104","url":null,"abstract":"Ecosystem services (ES) can link natural ecosystems with socioeconomic systems. The Yi River basin is one of the most important sub-basins of the Yellow River basin, and the landscape pattern of this basin has changed dramatically in recent years. However, the assessment of landscape patterns on ecosystem services value (ESV) in such basin has been little studied. Therefore, the temporal-spatial evolution of the landscape pattern and ESV of the Yi River basin was evaluated through the landscape indices analysis method and the method for evaluating the value equivalent factor in unit area, based on land cover data from 1987 to 2020. The effects of changes in landscape patterns on ESV were then quantified. The results show that (1) Forest was the dominant landscape type in the Yi River basin, followed by grassland, with the total area of both accounting for 80% of the basin area. From 1987 to 2020, the area of forest and construction land has increased, while that of farmland and grassland has decreased. In addition, the stability of the landscape within the basin was low, and the fragmentation of patches was serious. The landscape shape index (LSI) for 2015 and 2020 was 52.57 and 42.38, respectively, and Shannon's diversity index (SHDI) value increased from 1.04 to 1.17 in the same period, indicating that the degree of heterogeneity in the landscape of the Yi River basin was considerably reduced and the dominant patches were well connected. (2) From 1987 to 2020, the total ESV (supply, regulation, support, and cultural services) in the Yi River basin showed an “N” pattern of variation. Specifically, such total ESV increased noticeably from 1987 to 2005, decreased after 2005, bottomed out in 2015, and began to recover by 2020. Forest regulating services contributed the most to the total ESV at 77%. (3) The results of correlation analysis displayed that total ESV was negatively correlated with LSI and positively correlated with SHDI. Moreover, water supply services had a significant inverse relationship with the largest patch index (LPI), LSI, and SHDI. The LSI and patch density index (PD) had a strong positive correlation with biodiversity. Human activities (e.g., urbanization) were found to be the main drivers of a landscape pattern change and ESV decline in the Yi River basin, thus the level of biodiversity and overall ecosystem service provision in such basin can be improved by increasing the degree of landscape heterogeneity and reducing the complexity of landscape shape. The assessment of the evolution of landscape patterns and the quantification of its impact on ESV can help provide scientific information for improving the ecological qualify and supporting sustainable development in the Yi River basin.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Forest fire is a major ecological disaster, which has economic, social and environmental impacts on humans and also causes the loss of biodiversity. Kazakhstan forests are more prone to fires due to the presence of coniferous forests and loss was enormous. There is a need of forest fire danger indices to estimate the potential fire danger so that fire officials effectively control the fires. Global forest fire danger indices require daily meteorological stations data as well as ground investigation data. But, there are less number of meteorological stations are available in Kazakhstan, hence, the satellite derived parameters were used to develop the fire danger index in this study. In this study, Static forest fire probability index was developed by using the SRTM DEM and MODIS TERRA and AQUA Land cover type product (MCD12Q1). Dynamic forest fire probability index was calculated by using the MODIS TERRA Land Surface Temperature (MOD11A1) and Surface reflectance (MOD09GA). Dynamic forest fire probability index has been developed from the parameters, i.e. LST, Normalized Multi-band Drought Index (NMDI), Visible Atmospheric Resistant Index (VARI) and Modified Normalized Difference Fire Index (MNDFI). Finally, Fire danger index was developed by adding both the static and dynamic probability indices and Fire hotspot data (MCD14) has been used for the validation of the index. Accuracy was ranging from 77.78% to 90.32% and the overall accuracy was 84.14%. Developed Fire danger index was in operational, calculating by using MODIS Near Real Time datasets and uploading and updating every day in the website.
{"title":"Developing the Forest Fire Danger Index for the Country Kazakhstan by Using Geospatial Techniques","authors":"K. Babu, G. Kabdulova, G. Kabzhanova","doi":"10.3808/JEIL.201900006","DOIUrl":"https://doi.org/10.3808/JEIL.201900006","url":null,"abstract":"Forest fire is a major ecological disaster, which has economic, social and environmental impacts on humans and also causes the loss of biodiversity. Kazakhstan forests are more prone to fires due to the presence of coniferous forests and loss was enormous. There is a need of forest fire danger indices to estimate the potential fire danger so that fire officials effectively control the fires. Global forest fire danger indices require daily meteorological stations data as well as ground investigation data. But, there are less number of meteorological stations are available in Kazakhstan, hence, the satellite derived parameters were used to develop the fire danger index in this study. In this study, Static forest fire probability index was developed by using the SRTM DEM and MODIS TERRA and AQUA Land cover type product (MCD12Q1). Dynamic forest fire probability index was calculated by using the MODIS TERRA Land Surface Temperature (MOD11A1) and Surface reflectance (MOD09GA). Dynamic forest fire probability index has been developed from the parameters, i.e. LST, Normalized Multi-band Drought Index (NMDI), Visible Atmospheric Resistant Index (VARI) and Modified Normalized Difference Fire Index (MNDFI). Finally, Fire danger index was developed by adding both the static and dynamic probability indices and Fire hotspot data (MCD14) has been used for the validation of the index. Accuracy was ranging from 77.78% to 90.32% and the overall accuracy was 84.14%. Developed Fire danger index was in operational, calculating by using MODIS Near Real Time datasets and uploading and updating every day in the website.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132679802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. Treelines define the upper limits of where trees are capable of growing. These exist at high elevations across many of the world’s mountain ranges and at high latitudes across much of Russia and Canada. With climate change causing more favourable conditions for tree-expansion in many areas, these boundaries are moving to higher elevations and latitudes in many places. In this study we look at four of the more common methods used to track and monitor treeline changes, specifically dendrochronology, measurements of tree-diameter, repeat vegetation transects, and the use of photographs and remotely sensed imagery. We break down the various methods and discuss their reliability under various conditions. There are a few key parameters that determine the suitability of a method to measure treeline change, such as the accessibility of the study site, the availability of historical data such as photographs, notes or maps, the size of the area to be studied, and if the drivers of migration are of interest. Dendrochronology provides the most exact data and is the only methodology that enables correlation of treeline movements with climate change. However, using remote sensed data and repeat photographs is a quicker approach that allows larger areas to be studied. We highlight that no method is consistently superior but that the optimum method is largely site and scale dependent.
{"title":"A Review of Methods Used to Measure Treeline Migration and Their Application","authors":"A. Hansson, P. Dargusch, J. Shulmeister","doi":"10.3808/jeil.202000037","DOIUrl":"https://doi.org/10.3808/jeil.202000037","url":null,"abstract":". Treelines define the upper limits of where trees are capable of growing. These exist at high elevations across many of the world’s mountain ranges and at high latitudes across much of Russia and Canada. With climate change causing more favourable conditions for tree-expansion in many areas, these boundaries are moving to higher elevations and latitudes in many places. In this study we look at four of the more common methods used to track and monitor treeline changes, specifically dendrochronology, measurements of tree-diameter, repeat vegetation transects, and the use of photographs and remotely sensed imagery. We break down the various methods and discuss their reliability under various conditions. There are a few key parameters that determine the suitability of a method to measure treeline change, such as the accessibility of the study site, the availability of historical data such as photographs, notes or maps, the size of the area to be studied, and if the drivers of migration are of interest. Dendrochronology provides the most exact data and is the only methodology that enables correlation of treeline movements with climate change. However, using remote sensed data and repeat photographs is a quicker approach that allows larger areas to be studied. We highlight that no method is consistently superior but that the optimum method is largely site and scale dependent.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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