The House Martin(Delichon urbicum)is a common farmland bird species in the European landscape,yet its population numbers are currently in decline.However,it is not yet sufficiently explained why this long-term decline...The House Martin(Delichon urbicum)is a common farmland bird species in the European landscape,yet its population numbers are currently in decline.However,it is not yet sufficiently explained why this long-term decline occurs.To fill this gap in our knowledge,we investigated how land cover composition affects the abundance of House Martins on the landscape scale by using nationwide citizen science data.Utilizing a generalised linear mixed-effect model(GLMM),we evaluated 12,094 records from the Czech Republic spanning 2009-2017.Our analysis underscores the significance of land cover type in shaping House Martin abundance.More specifically,our results indicate that within agricultural land covers“naturally managed arable lands”exhibited significant positive effect,while forests,orchards,and vineyards were deemed less favourable for House Martin populations.Within urban land covers,we found a clear distinction in the impact on House Martin populations,with a positive effect observed in urban infrastructure,development areas,and post-industrial sites(i.e.,UrbanAreas),while an indifferent impact was noted within urban green spaces and landscaped areas(i.e.,GreenUrban).Notably,our findings suggest that the simple spatial,age,and species structure typical of forests in Europe,and similarly,the uniform structure of parks and gardens,may be responsible for the decline in the abundance of the House Martin.We advocate for the preservation or enhancement of urban greenery,expansion of natural vegetation in rural areas and adoption of ecological management practices in orchards and vineyards to mitigate further declines in House Martin populations.展开更多
The purpose of the research was to assess the impact of Citizen Development activities on digital transformation. The research identified eight categories that contribute to the success of Low-code No-code (LCNC) proj...The purpose of the research was to assess the impact of Citizen Development activities on digital transformation. The research identified eight categories that contribute to the success of Low-code No-code (LCNC) projects: 1) Strategy;2) Infrastructure;3) Technology;4) Processes & Procedures;5) Governance;6) Culture;7) People;8) Goals & Metrics and selected six critical success factors from these categories: 1) Operational Efficiency;2) Time Savings;3) Timeframe to Realize Value;4) Employee Engagement;5) Participation;6) Number of Sponsored Ideas. End users of the digital transformation efforts through Citizen Development were asked to assess the six critical success measures in terms of performance and importance criteria. The research results identified that focus should be applied to improving “Timeframe to Realize Value”, on “Operational Efficiency”, and on “Time Savings” to deliver success.展开更多
The objective of this study was to determine the degree of citizen participation in urban planning processes in the municipality of Comala,Colima,Mexico to have a broader vision of the citizens and the environment in ...The objective of this study was to determine the degree of citizen participation in urban planning processes in the municipality of Comala,Colima,Mexico to have a broader vision of the citizens and the environment in which they live.An instrument was designed specifically to perform this study and the instrument was validated by calculating Cronbach’s Alpha.The results showed that citizens were highly involved in issues concerning their urban environment,and the main problems of the public spaces were also identified.展开更多
This study elucidates the pivotal role of citizen science-BioBlitz methodologies for rapid assessment of the macro-invertebrate taxa within the threatened River Rwizi of South-western Uganda. Utilizing a comprehensive...This study elucidates the pivotal role of citizen science-BioBlitz methodologies for rapid assessment of the macro-invertebrate taxa within the threatened River Rwizi of South-western Uganda. Utilizing a comprehensive mixed-methods approach, the investigation focused on six distinct river segments to demonstrate the efficacy of participatory citizen science-BioBlitz approaches conducted by experts, students and community volunteers. BioBlitz events included rigorous macro-invertebrate sampling at each of the selected sites along River Rwizi on nine occasions, incorporating collaborative taxonomic identification procedures involving experts, students, and the local community. Analyzing pollution concerns, diversity metrics, and community narratives yielded insights into river health and socio-ecological dynamics. A total of 43 macro-invertebrate families across 17 orders were documented with class Insecta dominating. Participants in BioBlitz events expressed predominantly positive sentiments, emphasizing satisfaction, education, and heightened awareness, besides negative sentiments rooted in historical mistrust. Intriguingly, the study unveiled an unforeseen trend in macro-invertebrate taxa richness, rising from upstream to urban sprawl and diminishing at peri-urban downstream sites. The study underscores the potential of citizen science-BioBlitz methodologies in advancing community science education and unraveling the intricate dynamics of threatened river ecosystems. The insights offered are invaluable for policymakers and conservationists seeking effective strategies to address challenges in the River Rwizi and comparable ecosystems. .展开更多
The potential of citizen science projects in research has been increasingly acknowledged,but the substantial engagement of these projects is restricted by the quality of citizen science data.Based on the largest emerg...The potential of citizen science projects in research has been increasingly acknowledged,but the substantial engagement of these projects is restricted by the quality of citizen science data.Based on the largest emerging citizen science project in the country-Birdreport Online Database(BOD),we examined the biases of birdwatching data from the Greater Bay Area of China.The results show that the sampling effort is disparate among land cover types due to contributors’ preference towards urban and suburban areas,indicating the environment suitable for species existence could be underrepresented in the BOD data.We tested the contributors’ skill of species identification via a questionnaire targeting the citizen birders in the Greater Bay Area.The questionnaire show that most citizen birdwatchers could correctly identify the common species widely distributed in Southern China and the less common species with conspicuous morphological characteristics,while failed to identify the species from Alaudidae;Caprimulgidae,Emberizidae,Phylloscopidae,Scolopacidae and Scotocercidae.With a study example,we demonstrate that spatially clustered bird watching visits can cause underestimation of species richness in insufficiently sampled areas;and the result of species richness mapping is sensitive to the contributors’ skill of identifying bird species.Our results address how avian research can be influenced by the reliability of citizen science data in a region of generally high accessibility,and highlight the necessity of pre-analysis scrutiny on data reliability regarding to research aims at all spatial and temporal scales.To improve the data quality,we suggest to equip the data collection frame of BOD with a flexible filter for bird abundance,and questionnaires that collect information related to contributors’ bird identification skill.Statistic modelling approaches are encouraged to apply for correcting the bias of sampling effort.展开更多
基金supported by an internal grant agency from the Faculty of AgriSciences of Mendel University in Brno(AF-IGA2022-IP-034).
文摘The House Martin(Delichon urbicum)is a common farmland bird species in the European landscape,yet its population numbers are currently in decline.However,it is not yet sufficiently explained why this long-term decline occurs.To fill this gap in our knowledge,we investigated how land cover composition affects the abundance of House Martins on the landscape scale by using nationwide citizen science data.Utilizing a generalised linear mixed-effect model(GLMM),we evaluated 12,094 records from the Czech Republic spanning 2009-2017.Our analysis underscores the significance of land cover type in shaping House Martin abundance.More specifically,our results indicate that within agricultural land covers“naturally managed arable lands”exhibited significant positive effect,while forests,orchards,and vineyards were deemed less favourable for House Martin populations.Within urban land covers,we found a clear distinction in the impact on House Martin populations,with a positive effect observed in urban infrastructure,development areas,and post-industrial sites(i.e.,UrbanAreas),while an indifferent impact was noted within urban green spaces and landscaped areas(i.e.,GreenUrban).Notably,our findings suggest that the simple spatial,age,and species structure typical of forests in Europe,and similarly,the uniform structure of parks and gardens,may be responsible for the decline in the abundance of the House Martin.We advocate for the preservation or enhancement of urban greenery,expansion of natural vegetation in rural areas and adoption of ecological management practices in orchards and vineyards to mitigate further declines in House Martin populations.
文摘The purpose of the research was to assess the impact of Citizen Development activities on digital transformation. The research identified eight categories that contribute to the success of Low-code No-code (LCNC) projects: 1) Strategy;2) Infrastructure;3) Technology;4) Processes & Procedures;5) Governance;6) Culture;7) People;8) Goals & Metrics and selected six critical success factors from these categories: 1) Operational Efficiency;2) Time Savings;3) Timeframe to Realize Value;4) Employee Engagement;5) Participation;6) Number of Sponsored Ideas. End users of the digital transformation efforts through Citizen Development were asked to assess the six critical success measures in terms of performance and importance criteria. The research results identified that focus should be applied to improving “Timeframe to Realize Value”, on “Operational Efficiency”, and on “Time Savings” to deliver success.
文摘The objective of this study was to determine the degree of citizen participation in urban planning processes in the municipality of Comala,Colima,Mexico to have a broader vision of the citizens and the environment in which they live.An instrument was designed specifically to perform this study and the instrument was validated by calculating Cronbach’s Alpha.The results showed that citizens were highly involved in issues concerning their urban environment,and the main problems of the public spaces were also identified.
文摘This study elucidates the pivotal role of citizen science-BioBlitz methodologies for rapid assessment of the macro-invertebrate taxa within the threatened River Rwizi of South-western Uganda. Utilizing a comprehensive mixed-methods approach, the investigation focused on six distinct river segments to demonstrate the efficacy of participatory citizen science-BioBlitz approaches conducted by experts, students and community volunteers. BioBlitz events included rigorous macro-invertebrate sampling at each of the selected sites along River Rwizi on nine occasions, incorporating collaborative taxonomic identification procedures involving experts, students, and the local community. Analyzing pollution concerns, diversity metrics, and community narratives yielded insights into river health and socio-ecological dynamics. A total of 43 macro-invertebrate families across 17 orders were documented with class Insecta dominating. Participants in BioBlitz events expressed predominantly positive sentiments, emphasizing satisfaction, education, and heightened awareness, besides negative sentiments rooted in historical mistrust. Intriguingly, the study unveiled an unforeseen trend in macro-invertebrate taxa richness, rising from upstream to urban sprawl and diminishing at peri-urban downstream sites. The study underscores the potential of citizen science-BioBlitz methodologies in advancing community science education and unraveling the intricate dynamics of threatened river ecosystems. The insights offered are invaluable for policymakers and conservationists seeking effective strategies to address challenges in the River Rwizi and comparable ecosystems. .
基金the Estuary wetland wildlife survey project of the Greater Bay Area of China(Science and Technology Planning Projects of Guangdong Province,2021B1212110002).
文摘The potential of citizen science projects in research has been increasingly acknowledged,but the substantial engagement of these projects is restricted by the quality of citizen science data.Based on the largest emerging citizen science project in the country-Birdreport Online Database(BOD),we examined the biases of birdwatching data from the Greater Bay Area of China.The results show that the sampling effort is disparate among land cover types due to contributors’ preference towards urban and suburban areas,indicating the environment suitable for species existence could be underrepresented in the BOD data.We tested the contributors’ skill of species identification via a questionnaire targeting the citizen birders in the Greater Bay Area.The questionnaire show that most citizen birdwatchers could correctly identify the common species widely distributed in Southern China and the less common species with conspicuous morphological characteristics,while failed to identify the species from Alaudidae;Caprimulgidae,Emberizidae,Phylloscopidae,Scolopacidae and Scotocercidae.With a study example,we demonstrate that spatially clustered bird watching visits can cause underestimation of species richness in insufficiently sampled areas;and the result of species richness mapping is sensitive to the contributors’ skill of identifying bird species.Our results address how avian research can be influenced by the reliability of citizen science data in a region of generally high accessibility,and highlight the necessity of pre-analysis scrutiny on data reliability regarding to research aims at all spatial and temporal scales.To improve the data quality,we suggest to equip the data collection frame of BOD with a flexible filter for bird abundance,and questionnaires that collect information related to contributors’ bird identification skill.Statistic modelling approaches are encouraged to apply for correcting the bias of sampling effort.