There is less than half the time left to achieve the United Nations Sustainable Development Goals (SDGs), and progress toward SDGs is obviously insufficient. The contribution of ecosystem services (ES) to SDGs realization has received extensive attentions, but systematic generalization and recognition are still lacking. Based on a review of the progress and challenge of sustainable development, this study summarized ES’s potential contribution to 17 SDGs, and systematically reviewed empirical researches focused on the ES’s contribution to SDGs based on the RepOrting standards for Systematic Evidence Syntheses (ROSES). The results showed that from the 1960s to the 2020s, the ES’s contribution has gradually become more important in sustainable development. ES has potential contribution to all SDGs, but the contribution to different SDGs varies. In the empirical study, ES’s contribution to SDG2, SDG6, SDG13, and SDG15 were strongly focused. ES’s contribution to SDG4, SDG5, SDG10, SDG16, and SDG17 were weakly focused. Most researches have explored the ES’s contribution to SDGs based on ES supply at a single scale, lacking attentions to ES demand and scale differences, and insufficient attentions to intervention factors affecting the ES’s contribution to SDGs. Faced with the above deficiencies, future research could deepen the exploration of ES’s contribution to SDGs from the following four perspectives: clarifying true contributions, exploring leverage point, integrating multi-scale differences, and focusing on intervention factors.

The increasingly frequent storms pose significant threats to the sustainable development of coastal regions, particularly in densely populated and economically vibrant areas. Comprehending the dynamics and intricate mechanisms underlying runoff generation is crucial in the context of climate change and anthropogenic interference. Based on hydro-meteorological and land-use data from 1980 to 2018, this study investigates the runoff variation and its driving factors in the Coastal Chinese Mainland (CCM). The aims of this study are to reveal the temporal and spatial trends of runoff yield, to clarify the sensitivity of runoff in coastal cities to the integrated and individual parameters of climate change and anthropogenic interference, including precipitation (P), potential evapotranspiration (E₀), and land cover factor (n), and to support the establishment of spatially tailored adaptation strategies. The results show that: (1) runoff has generally increased over the study period, particularly in regions such as the Yangtze River Delta, Shandong, and Guangxi, while it has decreased in western Liaoning and eastern Guangdong; (2) in the northern CCM with larger aridity index, the land cover factor plays a dominant role in runoff production, while in the wetter southern CCM, precipitation is more influential, and potential evapotranspiration mainly hinders runoff generation all over CCM; (3) urban expansion tends to negatively impact n, while the loss of grasslands and shrinkage of croplands tend to undermine the value of n. To facilitate the achievement of sustainable development goals in the CCM, it is imperative to introduce a more comprehensive and theoretical framework that encompasses the natural, technical, and social dimensions of human-water systems into traditional flood regulation and water resource management. This framework should promote interdisciplinary collaboration from an integrated perspective, to bridge the administrative and watershed boundaries, to effectively address the complex challenges posed by climate change and anthropogenic activities on runoff and water resources in coastal regions, and to enhance the realization of local sustainable development goals (UN SDGs).

Built-up land has increased rapidly in recent decades, thus aggravating the competition for land between multiple uses. The increase in urban land can be decomposed into changes in population and changes in built-up land per person. Yet, it is unclear how this decomposition differs by country and how this decomposition changes over time. Moreover, we don’t know whether these changes affect the inequality in built-up land per capita. Here, we analyze the global distribution of built-up land per capita in the year 2020, as well as the changes therein between 1985 and 2020. We find that built-up land per capita in 2020 differs by an order of magnitude between countries, ranging from 15 m² per person in Ethiopia to 734 m² per person in Australia. Moreover, we find a wide range of different change trajectories, including both increases and decreases in built-up land per capita and in total population. As the total area of urban land increased in all countries, decreases in urban land consumption reflect a situation where the population increases faster than the total amount of urban land. We also find a large inequality in urban land consumption across countries, as indicated by a Gini index of 0.47 in 1985, decreasing only slightly to 0.45 in 2020. These findings suggest the need for a regionally differentiated approach to reduce urban land take, focusing first on mitigating further increases in those countries that already have a high urban land consumption.

Climate change threatens China’s rice production, making it crucial to assess the impact of climate change and climate year type (CYT) on rice production across regions to safeguard food security. The impact of climate change under nine CYTs with different combinations of temperature and precipitation on two rice cropping systems, including single rice and double rice (early and late rice) was evaluated. The results indicate that: (1) the Northeast region was expected to undergo the greatest warming of 2.03–2.48 °C, and future climate conditions would be dominated by Warm-Humid, Warm-Normal, and Warm-Dry CYTs across all regions. (2) Climate change would significantly shorten anthesis days after sowing and maturity days after sowing of single rice by 6–12 days and 9–24 days, with little change observed for late rice (< 1 day). Late rice yield suffered more from climate change compared to single and early rice yield, declining by 8.8 %–16.13 %. (3) Different CYTs exhibited varying impacts on rice yields. Yields were projected to decrease by approximately 4.765 % to 18.645 % in Warm-Humid, Warm-Normal, and Warm-Dry CYTs. Conversely, the Northeast region was anticipated to experience an increase in yield. (4) Relationships between rice yield and meteorological factors varied by region, variety, and CYT. Among the nine CYTs, high killing degree days, mean daily temperature, mean solar radiation and warm spell duration index were the main factors influencing changes in rice yield, explaining nearly 80 % of yield change. Our results would help to develop adaptation strategies in different regions and rice cropping systems.

There is 78 % permafrost and seasonal frozen soil in the Yangtze River’s Source Region (SRYR), which is situated in the middle of the Qinghai-Xizang Plateau. Three distinct scenarios were developed in the Soil and Water Assessment Tool (SWAT) to model the effects of land cover change (LCC) on various water balance components. Discharge and percolation of groundwater have decreased by mid-December. This demonstrates the seasonal contributions of subsurface water, which diminish when soil freezes. During winter, when surface water inputs are low, groundwater storage becomes even more critical to ensure water supply due to this periodic trend. An impermeable layer underneath the active layer thickness decreases GWQ and PERC in LCC + permafrost scenario. The water transport and storage phase reached a critical point in August when precipitation, permafrost thawing, and snowmelt caused LATQ to surge. To prevent waterlogging and save water for dry periods, it is necessary to control this peak flow phase. Hydrological processes, permafrost dynamics, and land cover changes in the SRYR are difficult, according to the data. These interactions enhance water circulation throughout the year, recharge of groundwater supplies, surface runoff, and lateral flow. For the region’s water resource management to be effective in sustaining ecohydrology, ensuring appropriate water storage, and alleviating freshwater scarcity, these dynamics must be considered.

This study aims to develop a system dynamic (SD) forecasting model based on the STIRPAT model to forecast the effect of an IDR 30 per kg CO₂e carbon tax on carbon emissions, estimate future carbon emissions under ten scenarios, without and with the carbon tax, and estimate the environmental Kuznets curve (EKC) to predict Indonesia’s carbon emission peak. Carbon emission drivers in this study are decomposed into several factors, namely energy structure, energy intensity, industrial structure, GDP per capita, population, and fixed-asset investment. This study included nuclear power utilization starting in 2038. The research gaps addressed by this study compared to previous research are (1) use of the ex-ante approach, (2) inclusion of nuclear power plants, (3) testing the EKC hypothesis, and (4) contribution to government policy. The simulation results show that under the carbon tax, carbon emissions can be reduced by improving renewable energy structures, adjusting industrial structures to green businesses, and emphasizing fixed asset investment more environmentally friendly. Moreover, the result approved the EKC hypothesis. It shows an inverse U-shaped curve between GDP per capita and CO₂ emissions in Indonesia. Indonesia’s fastest carbon emission peak is under scenario seven and is expected in 2040. Although an IDR 30 per kg CO₂e carbon tax and nuclear power will take decades to reduce carbon emissions, the carbon tax can still be a reference and has advantages to implement. This result can be a good beginning step for Indonesia, which has yet to gain experience with a carbon tax that can be implemented immediately and is helpful to decision-makers in putting into practice sensible measures to attain Indonesia’s carbon emission peaking. This research provides actionable insights internationally on carbon tax policies, nuclear energy adoption, EKC dynamics, global policy implications, and fostering international cooperation for carbon emission reductions.

Trees provide multiple ecosystem services such as carbon sequestration, hydrological regulation and habitat for arboreal animals. However, they are often removed to support agricultural enterprises. Despite the importance of tree remnants, we know relatively little about how soils differ across sites of varying condition. Here, we describe a study where we examined the relative effects of trees, compared with unvegetated interspaces, on soil functions in remnant patches at sites in good and poor condition in two eucalypt communities in an irrigation area in eastern Australia. We found that, in general, carbon and nutrient cycling were relatively greater beneath trees, and in surface soils, but there were no clear trends in relation to site condition. The values of most soil attributes (e.g., soluble and exchangeable cations, nitrogen, phosphorus) were greater beneath trees, indicating strong fertile island effects in both communities. Overall, our study confirms the importance of trees in remnant patches in agricultural landscapes, particularly those in sites of poor condition. It also suggests that soil processes may still be relatively intact, even in sites in poor condition. Our study reinforces the need to protect trees in remnant woodland reserves to maintain critical ecosystem functions related to nutrient retention. These remnants are important for achieving sustainable management of agricultural systems.

The ‘15-minute city’ (15minC) concept, which aspires to bring essential services within reach via a 15-minute walk for all residents, represents a pivotal paradigm shift in sustainable urban development. However, the achievability of this concept for different cities varies considerably across diverse population distributions, urban contexts, and development priorities. In this study, we propose a robust method for evaluating a city’s 15minC potential — a city’s capability to achieve widespread 15-minute accessibility while maintaining an optimal balance between resource efficiency and resident accessibility. We employ the Location Set Covering Problem optimization model to analyze the resources required to achieve full coverage of 15-minute accessibility and the knee point detection algorithm to assess a city’s 15minC potential. Across 23 major Chinese cities, our method exhibits a sharp sensitivity to delineate distinct 15minC potentials. It reveals that cities’ current 15minC development level doesn’t align with their inherent potential uniformly. Key determinants include how well current facility locations match population centers and the population density in remote areas. Further, reducing facility constructions by two-thirds has only a marginal impact on accessibility, emphasizing the need for tailored, data-driven planning in effective and sustainable urban development based on the distinct potentials of cities. Our approach prioritizes resource efficiency, minimizing the inefficient use of facilities that serve only a small portion of residents while maximizing the benefits of the 15minC and therefore has significant implications for a sustainable urban future.

The Regional Climate Model (RegCM) proves valuable for climate analysis and has been applied to a wide range of climate change aspects and other environmental issues at a regional scale. The model also demonstrated success in diverse areas of urban research, including urban heat island studies, extreme climate events analysis, assessing urban resilience, and evaluating urbanization impacts on climate and air quality. Recently, more studies have been conducted in utilizing RegCM to address climate change in cities, due to its enhanced ability over the years to capture meteorological phenomena at city scales. However, there are many challenges associated with its implementation in meso-scale research, which are attributed to various shortcomings and thus create room for further improvement in the model. This paper presents a comprehensive overview of the evolution of the RegCM over the years and its customisation across various parameters, demonstrating its versatility in urban climate studies and underscoring the model’s pivotal role in addressing multifaceted challenges in urban environments. By addressing these aspects, the paper offers valuable insights and recommendations for researchers seeking to enhance the accuracy and efficacy of urban climate simulations using the RegCM system, thereby contributing to the advancement of urban climate science and sustainability.

The amount of impervious surface is increasing rapidly worldwide. Although urban expansion has been studied extensively, the alteration of impervious land cover in rural regions remains under-examined. In particular, insights into the utilization of these sealed surfaces are crucially needed to unravel the underlying dynamics of land use changes beyond urban areas. This study focuses on rural regions from a Swiss case study and presents an analysis of the use of sealed surfaces in such regions, rather than solely quantifying the extent of sealed surfaces. Utilizing a synergistic approach that merges detailed cadastral plans with very-high-resolution remote sensing imagery and sophisticated deep learning algorithms, we characterized the uses of sealed surfaces, including buildings and their surroundings. Our findings reveal that 2.1 % of the study area’s rural regions comprises sealed surfaces - an area comparable to the sealed surfaces in the urban regions. Within these rural regions, transport infrastructure represents 68 % of this impervious surface. Buildings account for 12 %, and their surroundings, constituting 13 %, are utilized primarily for agricultural purposes, including farming and livestock activities. The deep learning approach achieved a classification accuracy of 72 % for a shallow model and 79 % for a deeper model, indicating that mapping building types is possible with reasonable accuracy. The outcomes of this study underscore the critical need to factor in the presence and utilization of impervious land cover within rural regions for the sustainable management of land resources.

The paper introduces a Special Issue based on presentations to the Agricultural Geography and Land Engineering (AGLE) Commission sessions of the International Geographical Union (IGU) at the IGU’s Congress in Paris in 2022. The sessions contrasted different approaches towards attaining greater sustainability in agricultural production to satisfy the need to feed the ever-increasing human population, currently expected to reach close to ten billion by 2050. After considering the multi-faceted problem of defining sustainable agriculture, this introduction systematically outlines broad strategies to attain the varied outcomes desired by agricultural systems. Presenting a contrast between ecocentric and technocentric approaches provides opportunities to synthesize recent literature addressing the pros and cons of these two broad alternatives. Recognition of the ecological and socio-cultural benefits accruing from the ecocentric has long been championed by proponents of a wide range of environmentally friendly farming systems, including organic farming, climate-smart agriculture, agroforestry, and permaculture. The technocentric lies at the heart of so-called Agriculture 4.0, in which innovations such as precision farming, digital technology, and genetic modification are applied to increase production per unit area. The potential for technology to ‘solve’ the world’s food crisis is supported by those who argue that ecocentric approaches alone cannot meet the rising demand for food. Yet, questions remain about the sustainability of new technology-based methods, so a strong and ongoing debate continues regarding how to attain greater sustainability alongside increasing agricultural output. This debate is exemplified in the contributions to the Special Issue outlined herewith.

Adaptive governance of areas set aside for future protection of biodiversity, sustainable production, and recreation requires knowledge about whether and how effects of area protection are modulated by climate change and redistribution of species. To investigate this, we compare biodiversity of plants (assessed using vegetation plots) and arthropods (collected with Malaise traps, analyzed using metabarcoding) and productivity (tree growth, determined using dendrochronology) in protected and non-protected oak (Quercus spp.) forests along a latitudinal gradient (55.6 °N – 60.8 °N) in Sweden. We also compare historical, recent and projected future climate in the region. In contrast to established global latitudinal diversity gradients, species richness of plants and arthropods increased northwards, possibly reflecting recent climate-induced community redistributions, but neither was higher in protected than in non-protected areas, nor associated with contemporary ground temperature. Species composition of arthropods also did not differ between protected and non-protected areas. Arthropod biomass increased with latitude, suggesting that the magnitude of cascading effects mediated via their roles as pollinators, herbivores, and prey for other trophic levels, varies geographically and will change with a moving climate. Annual growth rate of oaks (an ecosystem service in the form of biomass increase and carbon sequestration) was independent of latitude and did not differ between protected and non-protected areas. Our findings question the efficacy of contemporary designation and management of protected oak forests, and emphasize that development and implementation of modified climate smart conservation strategies is needed to safeguard ecosystem functioning, biodiversity, and recreational values of protected forest areas against future challenges.

Different global agendas have discussed the role of soils in mitigating and reducing global problems related to climate change, food security, biodiversity and erosion, among others. With this in mind, the aim was to draw up an overview of the main soil agendas in Europe and Brazil, analysing their impact on the establishment of legal frameworks for soil use and conservation. In Brazil, pastures are seen as an important alternative for converting degraded areas into ecosystem services. To this end, a literature review was carried out using databases on the Scopus, Web of Science, Science Direct and Scielo platforms, as well as consulting documents from the European Union Missions in Horizon Europe and Brazilian legislation on the subject. In a pilot river basin, the Potential for Conservation Use (PCU) method was applied, which is used in Brazil to assess the impacts of different uses on the natural capital of soils, serving as a metric to guide public soil conservation policies. It was concluded that, on the European scene, discussions on soils have taken place in an integrated and organised way, with actions to mobilise different players in society. In Brazil, even though there are important legal frameworks, actions are still restricted and disjointed, pointing to the need for progress in soil governance. In both scenarios, there is a need for scientifically validated metrics at regional scales that can contribute to a harmonised database capable of subsidising the development of efficient public policies to advance soil conservation at a global level.

Protected areas (PA) have proven to be one of the best ways to conserve biodiversity against environmental changes. Amphibians are considered the most threatened group, with habitat loss due to deforestation identified as their major threat. Here, we assessed for each PA of the American continent: 1) amphibian’s occurrence (Global Biodiversity Information Facility (GBIF) vs. International Union for Conservation of Nature (IUCN) data); 2) temperature velocity and estimated the climate residence time, and using the latest models of the land future use; 3) we estimated the changes of natural vs. modified cover in three future scenarios. Amphibian occurrence showed differences between databases, while GBIF data shows that 52 % of the amphibian species occurring in the continent are in PA, based on IUCN data, 85 % are protected. Results from climate change show a low pace of climate velocity during the last century that is maintained in the green scenario (SSP126). However, change in temperature increases in rate in the rest of the scenarios, with scenario SSP58 showing the highest velocity of temperature change. Future estimates of residence times in PA show that lower levels as emission scenarios tend to be higher. These results are worrisome since climate lag, specifically temperature increase over the PA will probably affect amphibian communities as shown in previous studies. Changes in climate patterns have a direct—mostly negative—impact on amphibians’ ability to disperse and reproduce. The results of land use change were unexpected, since the categories showed minimal changes. However, the data on urbanization changes do not seem to be reflecting the trends of other databases, which may be causing artifacts in the comparisons in the future models of land use. Further research will be necessary to evaluate the extent of similarities and differences in future projections of land use including urbanization and human population between different databases.