Landscape service flow dynamics in the metropolitan area of Córdoba (Argentina)

The multiscale nexus among land use-land cover changes and water quality in the Suquía River Basin, a semi-arid region of Argentina

Agricultural intensification and urban sprawl have led to significant alterations in riverscapes, and one of the critical consequences is the deterioration of water quality with significant implications for public health. Therefore, the objectives of this study were the assessment of the water quality of the Suquía River, the assessment of LULC change at different spatial scales, and the analysis of the potential seasonal correlation among LULC change and Water Quality Index (WQI). The Sample Sites (SS) 1 and 2 before Cordoba city had the highest WQI values while from SS3 the WQI decreased, with the lowest WQI close to the wastewater treatment plant (SS7) after Cordoba city. From SS8 in a agricultural context, the WQI increases but does not reach the original values. In light of analysis carried out, the correlation between water quality variables and the different LULC classes at the local and regional scales demonstrated that WQI is negatively affected by agricultural and urban activities, while natural classes impacted positively. The spatialization of the results can help strongly in assessing and managing the diffusion of point and non-point pollution along the riverscape. The knowledge gained from this research can play a crucial role in water resources management, which supports the provision of river ecosystem services essential for the well-being of local populations.

Fostering the Resiliency of Urban Landscape through the Sustainable Spatial Planning of Green Spaces

Background: It has been recognized that urban green spaces play a crucial role in providing many landscape services. The research aimed at identifying the main knowledge gaps in this framework and to support urban planning, taking into account the spatial configuration of green areas through a pilot study area, and mapping urban landscape services. Methods: In this research, (1) a systematic review, analyzed through a network analysis; (2) an urban pilot study to map the Urban Green Index and, jointly, the spatial composition and configuration of urban green areas, through the integration of three landscape metrics; and (3) the mapping of Urban Landscape Services Index have been carried out. Results: The 37% of the reviewed articles focused on regulating services, while the network analysis identified four clusters. The total Urban Green Index was 26%, and some districts showed a percentage that surpassed it. The total overall Green Connectivity Index was 21%. Some districts were the best providers of landscape services. Conclusions: This research was in line with the EU Joint Science for Policy Report suggesting giving emphasis to the spatial pattern map of green spaces in European cities to provide spatial data available for decision-makers in relation to GI deployment.

Identification of the trade-offs/synergies between rural landscape services in a spatially explicit way for sustainable rural development

Rural problems are becoming increasingly prominent in sustainable development in China. Landscape services (LSs) are an emerging concept associated with ecosystem services and play an important role in promoting sustainable development. However, a comprehensive framework of rural LS and empirical research are still lacking. Here, we proposed a rural LSs system based on its multiple functions of "ecological maintenance, agricultural production and human living", including 9 LS types. Combined with the impact of landscape pattern on LSs, we optimized the assessment method of LS, and the LS capabilities were assessed at the village scale in Hangzhou city. Furthermore, we identified the spatial differentiation of rural LSs capabilities and trade-offs/synergies along urban-rural and terrain gradients. The results showed that the LSs capabilities of the rural landscape were greatly affected by the urban radiation and terrain, and we found that the turning point of LSs capabilities was 35 km from the urban fringe and the terrain gradient T5. The LSs in most villages (77%) revealed trade-offs, and the villages with LS synergies largely occurred in the middle and eastern regions of the study area. This study could improve our current understanding of LSs in regard to sustainable rural development, and identifying the trade-offs/synergies of LSs in a spatially explicit way can provide suggestions for the differentiated management of rural landscape sustainability.

Landscape pattern change simulations in Tibet based on the combination of the SSP-RCP scenarios

Monitoring landscape pattern change can provide spatial explicit basis for future landscape management. The future socioeconomic and climate change drivers should be systematically combined in landscape pattern monitoring, while they are often regarded as independent parameters in landscape monitoring models. This study sought to project the detailed landscape pattern change based on landscape composition and configuration in Tibet by 2030, and combined the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs). The results showed area of the unused land and forest will reduce by a minimum standard of 11.42 × 10⁴ and 9.04 × 10⁴ km² from 2010 to 2030, respectively. Other land use types will increase, and the highest increase in grassland will be 9.30 × 10⁵ km². Combined SSP1 and RCP2.6 scenario show high landscape aggregation and low edge density on cultivated land, urban land and grassland in Tibet as a whole. However, in typical cultivated and urban landscape, the abovementioned rule is appeared in the combined SSP4 and RCP6.0 scenario. These findings stress the importance of systematically modeling the socioeconomic demand and climate change in landscape pattern monitoring, and using both landscape composition and configuration indexes for scenario evaluation.

Assessing the ecological balance between supply and demand of blue-green infrastructure

Given that improving urban ecological environment requires a clear recognition of the urban ecological elements, investigating the ecosystem service capabilities of urban green-blue infrastructures (UGBIs) becomes ever important. This study aims to reveal and compare the synergistic ecosystem service ability of UGBIs with different characteristics and the relationship with human demand in Wuhan city. It was found that the climate regulation service and water regulation service value of lake-type parks both reached the highest over the other UGBIs. Nature-type parks revealed the most capable cultural service, and green-type parks demonstrated the greatest exercise cultural service value. The analysis showed that the ecosystem services delivered by the UGBIs were influenced by the park area, the total value of the normalized difference vegetation index and normalized water body index, and the distance from the city centre. Furthermore, a significant spatial phenomenon was found that the ecological capacity of lake-type parks in the city centre was higher than that of the other UGBIs at the same location. Regarding the relationship with the human activity intensity, the high-demand and high-supply regions were mainly concentrated in highly developed areas in terms of regulating services. Nevertheless, a severe environmental inequality occurred in small urban centres, which requires urgent attention from the government. This work answered the question of where and how to optimize the green-blue infrastructures in Wuhan, and it contributes to the construction of the existing blue-green space.