Assessing the carbon storage capacity of terrestrial ecosystems is crucial for land management and carbon reduction policymaking. There is still a knowledge gap regarding how ecosystem carbon storage will be impacted by combined environmental and land-use factors and their spatial-temporal changes, especially in developed regions where urbanization has slowed down. This study investigated how developed regions in subtropical and tropical areas might increase carbon storage and achieve carbon neutrality, using Guangdong Province in South China as an example. Based on the sustainable development assumption, three land-management scenarios were developed and simulated for 2020-2060 using the Patch-generating Land Use Simulation model. Without considering disturbance and natural losses, carbon storage was estimated by net ecosystem productivity (NEP)-the difference between net primary productivity (NPP) and heterotrophic respiration (HR). NPP was predicted using an artificial neural network model trained by historical NPP data and 16 environmental and land-use variables. HR was predicted using soil respiration models from previous research. Based on the balance between carbon storage and emissions, we predicted the allowable fossil fuel consumption to achieve net-zero CO₂ emissions in 2060. The results show that Guangdong's total carbon storage changes from 73.7 MtC in 2020 to 70.6-74.8 MtC in 2060 under different scenarios. Nonlinear relationships exist between the carbon stored and the areas of different land-use types. Topography, temperatures, and land-use configurations jointly lead to significantly varied carbon storage between croplands and between forests in space and time. Protecting and regenerating forests in subtropical areas and forest edges is more effective than afforestation in lowland tropical areas for storing carbon. Net-zero CO₂ emissions rely more on reducing emissions than land management. To achieve this, the proportion of fossil energy in total energy consumption should be lowered from 75.5 % in 2020 to ~25 % in 2060.

Amidst the growing urgency to mitigate the impacts of anthropogenic climate change, urban flooding stands out as a critical concern, necessitating effective stormwater management strategies. This research presents a bibliometric analysis of the literature on urban stormwater management optimization from 2004 to 2023, with the aim of understanding how the field has responded to these escalating challenges. Aiming to map the evolution and current state of the field, this study employed a methodical approach, using CiteSpace to analyze publication trends, authorship patterns, and geographical distributions, as well as keyword and citation dynamics. The findings reveal a marked increase in research activity after 2014, with significant contributions observed between 2019 and 2022. Key research themes identified include low-impact development, green infrastructure, and stormwater management, with a notable shift towards hybrid grey–green infrastructure solutions that combine traditional and ecological elements. The prevalence of terms such as ‘best management practices’ and ‘Green Roofs’ in recent publications indicates a growing emphasis on practical, case-study-based research, particularly in green infrastructure technologies like bioretention cells. These insights underscore the field’s movement towards pragmatic, multi-objective optimization frameworks with tangible applications, guiding future research directions in this increasingly complex domain.

Compared with industrial monoculture, agroforestry has been perceived as a more sustainable approach to landscape management that provides various landscape-specific benefits. However, little is known about agroforestry’s influence on the comprehensive sustainability of agricultural landscapes. This study focused on the importance of agroforestry and its influence on landscape sustainability, using 118 China National Important Agricultural Heritage Systems (China-NIAHS) as cases. In each China-NIAHS, we evaluated the importance of agroforestry and the landscape’s comprehensive sustainability and explored their correlation. The findings indicate that agroforestry is important in most China-NIAHS. Agroforestry’s importance is strongly correlated with most sustainability indicators, including biodiversity, income diversity, resource utilization, hydrogeological preservation, and water regulation. Based on the findings, we discuss the role of agroforestry in promoting sustainability and provide suggestions for sustainable management and policymaking for agricultural landscapes on a national scale.

Agricultural heritage systems are appreciated worldwide for their significant environmental and cultural values. However, the sustainability of these systems has been compromised by environmental issues due to intensive human activities and socio-economic changes. Research has noticed that “digital nomadism” is providing a new opportunity for the sustainable development and transformation of these systems, regarded as “digital nomad-friendly” destinations. Nevertheless, comprehensive research on this new trend has been limited except for a few individual case studies. This study is the first to investigate the sustainable development of agricultural heritages considering the growing phenomenon of digital nomadism on a large scale. Based on in-depth stakeholder interviews, we introduced the Digital Nomad-Friendly (DNF) score—a comprehensive indicator system chosen and weighted by stakeholders. The DNF scores of 189 China National Important Agricultural Heritage System (China-NIAHS) sites were evaluated, and their distributions were analyzed on a national scale in China. The results highlight the importance of natural landscape and cultural value in the eyes of digital nomads, particularly emphasizing aesthetic landscape features, climatic suitability, and a community atmosphere. Sites with the highest DNF scores are located mostly in the Zhejiang and Yunnan provinces, sharing characteristics that appeal to digital nomads. The DNF scores exhibit regional variations, with high-DNF-score sites being concentrated in southwestern and southeastern China. By enhancing our understanding of digital nomads’ preferences and the influencing factors, this study provides valuable insights for the environmental management, policymaking, and sustainable development of China-NIAHS sites considering contemporary environmental and social changes.

As an integral part of rural built heritage, the aesthetic and recreational values of Historical Irrigation Canals (HICs) have increasingly garnered attention in recent years, providing new perspectives for heritage conservation and sustainable rural development. However, there is a scarcity of research conducted from the micro-perspective of public preferences for HICs in rural areas. The existing literature primarily focuses on how the landscape characteristics of natural and urban rivers affect public preferences, with a lack of attention to built heritage characteristics and rural settings, which are uniquely inherent to HICs in rural areas. This study aims to explore public preferences for HICs in rural areas from the perspectives of landscape characteristics and social backgrounds. The Li Canal-Gaoyou Irrigation District, one of the World Heritage Irrigation Structures, was selected as the case study. Selected HIC photos were utilized for measuring landscape characteristics and conducting survey questionnaires. Relationships among HIC landscape characteristics, social backgrounds, and aesthetic and recreational preferences were revealed through one-way ANOVA, Spearman’s correlation, and stepwise regression analyses. Key findings include the following: (1) the public can derive aesthetic and recreational value from HICs; (2) canals with large water bodies, artificial banks, and artificial vegetation are considered more aesthetically pleasing; (3) larger canals, extensive water bodies, and artificial banks are deemed more suitable for recreation; (4) factors such as age, education level, income, rural living experience and knowledge of HICs influence public preferences; (5) costs influence public aesthetic and recreational preferences, with people more willing to pay for roads and hardened banks. Finally, several recommendations for the protection and management of HICs have been summarized, offering guidance for rural managers and planners.

Improving street jogging environments can promote urban health and sustainability, especially within urban built-up areas. Public attention to the environment during jogging has not been sufficiently studied, and the recommended route data from the fitness app offers an opportunity for multiscale spatial exploration. Initially, by analyzing the recommendation reason text, the study identified 22 environmental factors and proposed the Environmental Factor Public Attention Intensity (EFPAI) for quantification, with subsequent comparisons to expert opinions. Further, by analyzing five types of data from the recommended routes, the relationships between EFPAI and jogging frequency, route shape, spatial distribution, and seasonal variations were uncovered. The study revealed: (1) discrepancies between expert opinions and public attention, with experts more likely to overlook factors such as slope, visual quality, width, and acoustic quality; (2) the public tends to notice factors like pedestrians, green spaces, waterfront spaces, landscapes, culture, sports facilities, and accessibility on routes with high jogging frequency; (3) EFPAI for traffic infrastructure, waterfront spaces, landscapes, residential areas, and campuses is associated with route shape; (4) EFPAI of certain environmental factors is influenced by urban geographical spatial factors, and substantial differences exist between different cities. Specific recommendations were provided from three different scales—site scale, street block scale, and urban scale—to guide the resolution of issues in planning and decision-making processes for urban renewal.