The demand for urban ecosystem services increases with the rapid growth of the urban population. The urban forest is a crucial ecosystem services provider in cities. To achieve a better estimation of urban ecosystem services, an understanding of the link between heterogeneity and ecosystem services within cities is needed. Other than street trees and forest remnants, the contribution of dispersed green spaces should also be considered. In this study, a ground-based sample quadrat investigation of trees across a sequence of land types in Kyoto City was applied. The ecosystem services and monetary values of trees were further calculated using a customized i-Tree Eco tool. The ecosystem services calculated include carbon storage and sequestration, air pollutants removal, and runoff reduction. Ecosystem services of different land use classes were compared at both quadrat and single-tree levels. We found no significant difference across land use for all the ecosystem services at the quadrat level. However, ecosystem services were different across land use at the single-tree level. We performed a species-specific analysis and found that the pattern of ecosystem services at the single-tree level across land use varies with both the service tested and species. Our study suggests that the heterogeneity within a city should be considered when estimating urban ecosystem services. The results also provide insight into the urban green space management of Kyoto City.

Community-based citizen science plays a vital role in biodiversity conservation by engaging the public in scientific research while fostering environmental awareness. This study evaluates a citizen science project conducted in the Taoyuan Algal Reef (TAR) region of Taiwan, focusing on participants’ motivations, learning outcomes, and their relationship with behavioral intentions toward biodiversity conservation. Despite a small sample size, our findings provide valuable insights into the effectiveness of such initiatives. Learning and self-achievement emerged as the primary motivators for participation, with social interaction playing a secondary role. Using the structural equation model (SEM), we confirmed that attitude serves as a critical mediator between knowledge, sense of place, and behavioral intention. This supports the Knowledge-Attitude-Behavior (KAB) model, emphasizing that knowledge acquisition fosters attitudinal shifts that ultimately drive conservation behavior. Moreover, place-based learning was identified as a key component in strengthening participants’ sense of place and ecological awareness. Our findings suggest that aligning citizen science initiatives with participants’ motivations enhances engagement and long-term conservation efforts. Additionally, ongoing community monitoring not only contributes to scientific data collection but also empowers local communities in environmental decision-making. This study highlights the broader educational, social, and ecological benefits of community-based citizen science and underscores the need for systematic evaluations to optimize its impact.

Citizen science had been severely affected by COVID-19. However, changes of citizen science due to the pandemic in Asia and the driving factors underlying the changes have not been fully investigated. Based on a citizen science observation dataset for 8 cities of Japan from 2016 to 2021, we categorized the users into long-term and short-term users. The long-term users have higher observation number due to their persistent higher activity frequency. Then the changes of observation number were decomposed into user population effect, user structure effect, activity frequency effect, and observation intensity effect using the Logarithmic Mean Divisia Index (LMDI) model for each city resepectively. The user population effect is the largest contributor to observation number changes in the cities for most years, with positive impacts before the pandemic and negative after the pandemic. The following effects are the observation intensity effect, activity frequency effect, and user structure effect. The findings suggest that, to recover citizen science from pandemic, the policymakers, practitioners, and researchers should consider the reasons underlying the changes in more detail.