Reassessing the role of urban green space in air pollution control.

The assumption that vegetation improves air quality is prevalent in scientific, popular, and political discourse. However, experimental and modeling studies show the effect of green space on air pollutant concentrations in urban settings is highly variable and context specific. We revisited the link between vegetation and air quality using satellite-derived changes of urban green space and air pollutant concentrations from 2,615 established monitoring stations over Europe and the United States. Between 2010 and 2019, stations recorded declines in ambient NO2, (particulate matter) PM10, and PM2.5 (average of -3.14% y-1), but not O3 (+0.5% y-1), pointing to the general success of recent policy interventions to restrict anthropogenic emissions. The effect size of total green space on air pollution was weak and highly variable, particularly at the street scale (15 to 60 m radius) where vegetation can restrict ventilation. However, when isolating changes in tree cover, we found a negative association with air pollution at borough to city scales (120 to 16,000 m) particularly for O3 and PM. The effect of green space was smaller than the pollutant deposition and dispersion effects of meteorological drivers including precipitation, humidity, and wind speed. When averaged across spatial scales, a one SD increase in green space resulted in a 0.8% (95% CI: -3.5 to 2%) decline in air pollution. Our findings suggest that while urban greening may improve air quality at the borough-to-city scale, the impact is moderate and may have detrimental street-level effects depending on aerodynamic factors like vegetation type and urban form.

Dung beetles increase plant growth: a meta-analysis.

The ecosystem services provided by dung beetles are well known and valued. Dung beetles bury dung for feeding and breeding, and it is generally thought that the process of burying dung increases nutrient uptake by plant roots, which promotes plant growth. Many studies have tested the effects of dung beetles on plant growth, but there has been no quantitative synthesis of these studies. Here we use a multi-level meta-analysis to estimate the average effect of dung beetles on plant growth and investigate factors that moderate this effect. We identified 28 publications that investigated dung beetle effects on plant growth. Of these, 24 contained the minimum quantitative data necessary to include in a meta-analysis. Overall, we found that dung beetles increased plant growth by 17%; the 95% CI for possible values for the true increase in plant growth that were most compatible with our data, given our statistical model, ranged from 1% to 35%. We found evidence that the dung beetle-plant growth relationship is influenced by the plant measurement type and the number of beetles accessing the dung. However, beetles did not increase plant growth in all quantitative trials, as individual effect sizes ranged from -72% to 806%, suggesting important context-dependence in the provision of ecosystem services.

Wave damping by giant kelp, Macrocystis pyrifera.

BACKGROUND AND AIMS: The increased likelihood and severity of storm events has brought into focus the role of coastal ecosystems in provision of shoreline protection by attenuating wave energy. Canopy-forming kelps, including giant kelp (Macrocystis pyrifera), are thought to provide this ecosystem service, but supporting data are extremely limited. Previous in situ examinations relied mostly on comparisons between nominally similar sites with and without kelp. Given that other factors (especially seafloor bathymetry and topographic features) often differ across sites, efforts to isolate the effects of kelp on wave energy propagation confront challenges. In particular, it can be difficult to distinguish wave energy dissipation attributable to kelp from frictional processes at the seabed that often covary with the presence of kelp. Here, we use an ecological transition from no kelp to a full forest, at a single site with static bathymetry, to resolve unambiguously the capacity of giant kelp to damp waves. METHODS: We measured waves within and outside rocky reef habitat, in both the absence and the presence of giant kelp, at Marguerite Reef, Palos Verdes, CA, USA. Nested within a broader kelp restoration project, this site transitioned from a bare state to one supporting a fully formed forest (density of 8 stipes m-2). We quantified, as a function of incident wave conditions, the decline in wave energy flux attributable to the presence of kelp, as waves propagated from outside and into reef habitat. KEY RESULTS: The kelp forest damped wave energy detectably, but to a modest extent. Interactions with the seabed alone reduced wave energy flux, on average, by 12 ±â€…1.4 % over 180 m of travel. The kelp forest induced an additional 7 ±â€…1.2 % decrease. Kelp-associated declines in wave energy flux were slightly greater for waves of longer periods and smaller wave heights. CONCLUSIONS: Macrocystis pyrifera forests have a limited, albeit measurable, capacity to enhance shoreline protection from nearshore waves. Expectations that giant kelp forests, whether extant or enhanced through restoration, have substantial impacts on wave-induced coastal erosion might require re-evaluation.

Effective conservation of subterranean-roosting bats.

Bats frequently inhabit caves and other subterranean habitats and play a critical role in subterranean food webs. With escalating threats to subterranean ecosystems, identifying the most effective measures to protect subterranean-roosting bats is critical. We conducted a meta-analysis to evaluate the effectiveness of conservation and management interventions for subterranean-roosting bats. We used network analyses to determine to what extent interventions for bats overlap those used for other subterranean taxa. We conducted our analyses with data extracted from 345 papers recommending a total of 910 conservation interventions. Gating of roost entrances was applied to preserve bat populations in 21 studies, but its effectiveness was unclear. Habitat restoration and disturbance reduction positively affected bat populations and bat behavior, respectively, in ≤4 studies. Decontamination was assessed in 2 studies and positively affected bat populations, particularly in studies focused on reducing fungal spores associated with white-nose syndrome in North America. Monitoring of bat populations as an effective conservation strategy was unclear and infrequently tested. Only 4% of bat studies simultaneously considered other subterranean organisms. However, effective interventions for bat conservation had similarities with all other organisms. If other subterranean organisms are considered when applying interventions to conserve bats, they might also benefit.

Conservación eficiente de murciélagos subterráneos Resumen Es común que los murciélagos habiten en cuevas y otros hábitats subterráneos y contribuyan a las redes alimenticias bajo tierra. Ya que estos ecosistemas cada vez se enfrentan a más amenazas, es importante identificar las medidas más efectivas para proteger a los murciélagos subterráneos. Realizamos un metaanálisis para evaluar la eficiencia de la conservación y las intervenciones de manejo para estos mamíferos. Usamos un análisis de redes para determinar el grado al que las intervenciones en pro de los murciélagos se traslapan con aquellas usadas para otros taxones subterráneos. Realizamos nuestros análisis con datos extraídos de 345 artículos que recomendaban 910 intervenciones de conservación. Se aplicó la colocación de compuertas en la entrada de los dormideros para conservar la población de murciélagos en 21 estudios, pero no quedó clara su efectividad. La restauración del hábitat y la reducción de las perturbaciones afectaron, respectivamente, a las poblaciones y al comportamiento de los murciélagos en ≤ 4 cuatro estudios. Se evaluó a la desinfección en dos estudios y ésta tuvo un efecto positivo sobre las poblaciones, particularmente en los estudios enfocados en la reducción de esporas micóticas asociadas con el síndrome de nariz blanca en América del Norte. La eficiencia del monitoreo de las poblaciones de murciélagos como una estrategia de conservación no fue clara y casi nunca se evaluó. Sólo el 4% de los estudios sobre murciélagos consideró simultáneamente a otros organismos subterráneos. Sin embargo, las intervenciones eficientes para la conservación de murciélagos tuvieron similitudes con las de todos los demás organismos. Otros organismos pueden beneficiarse si se les considera cuando se aplican las intervenciones para conservar a los murciélagos.

New Perspective to Evaluate the Carbon Offsetting by Urban Blue-Green Infrastructure: Direct Carbon Sequestration and Indirect Carbon Reduction.

Urban blue-green infrastructure (BGI) offers a multitude of ecological advantages to residents, thereby playing a pivotal role in fortifying urban resilience and fostering the development of climate-resilient cities. Nonetheless, current research falls short of a comprehensive analysis of BGI's overall potential for carbon reduction and its indirect carbon reduction impact. To fill this research gap, we utilized the integrated valuation of ecosystem services and trade-offs model and remote sensing estimation algorithm to quantify the direct carbon sequestration and resultant indirect carbon reduction facilitated by the BGI within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) (China). To identify the regions that made noteworthy contributions to carbon offsets and outliers, spatial autocorrelation analysis was also employed. The findings of this study reveal that in 2019, the BGI within the study area contributed an overall carbon offset of 1.5 × 108 t·C/yr, of which 3.5 × 107 and 11.0 × 107 t·C/yr were the result of direct carbon sequestration and indirect carbon reduction, respectively. The GBA's total CO2 emissions were 1.1 × 108 t in 2019. While the direct carbon sequestration offset 32.0% of carbon emissions, the indirect carbon reduction mitigated 49.9% of potential carbon emissions. These results highlight the critical importance of evaluating BGI's indirect contribution to carbon reduction. The findings of this study provide a valuable reference for shaping management policies that prioritize the protection and restoration of specific areas, thereby facilitating the harmonized development of carbon offset capabilities within urban agglomerations.

Spatio-temporal dynamics and socio-ecological determinants of ecosystem service interplays in Shandong Province's coastal region (2000-2020): Implications for environmental protection and sustainable ecosystem management.

The sustainable management of multiple concurrent ecosystem services (ESs) requires a comprehensive understanding of the interconnections between various ESs. In this study, we develop spatial maps for six distinct ESs using a variety of models, and we quantify their trade-offs, synergies, and bundling patterns through spatial mapping and statistical methodologies. We further delve into the antagonistic and synergistic dynamics between different ESs within each Ecosystem Service Bundle (ESB), and employ GeoDetector to pinpoint the key drivers of each ES. Our findings reveal that: (1) The spatial distributions of ESs are heterogeneous, with most ESs exhibiting a downward trend except for GP and SC, which are on the rise. CS shows positive correlations with all other five ES indicators. HQ exhibits positive correlations with SC and RS, whereas negative correlations are observed between HQ-GP and WC-RS. Six ES pairs demonstrate a decline in synergistic relationships, but an increase in trade-off relationships. (2) We distinguish six types of ESBs, each differing in their combination and extent of ES provision. The trade-offs and synergies within these distinct ESBs display both commonalities and differences. In certain ESBs, supply services display synergistic relationships with other ESs. We leverage ES bundles as the foundation for studying spatial planning zoning, revealing a diversity in the interactions between different ES pairs and the driving factors of ES. Therefore, we establish the theoretical basis for formulating spatial planning on the interrelationships and drivers of ES under spatial and temporal changes. We anticipate that our findings will offer valuable scientific insight for the development of future ecological conservation and spatial planning strategies in the region.

Identification of unique ecosystem service bundles in farmland - A case study in the Huang-Huai-Hai Plain of China.

Ecosystem services (ESs) are essential for human well-being and are relevant to the region's sustainable development. Most studies have emphasized the importance of high ecosystem services areas for entire regions. However, some locations with particular contributions to a region's ecosystem services are still overlooked. Using the InVEST model, this study analyzed three ESs: annual water yield (WY), carbon storage (CS), and soil conservation (SC) in the farmland of the Huang-Huai-Hai Plain of China (HHHP) from 2005 to 2019. Combining climate regulation (NDVI) and food production (FP), this research calculated the city level of the diversity of ecosystem services supply (alpha-multifunctionality) and the unique contribution to the region in each city (beta-multifunctionality) from 2005 to 2019. The alpha-multifunctionality combines the number of ecosystem services and their supplies of ecosystem services. At the same time, the beta-multifunctionality assesses the average dissimilarity between the city and all other cities within that region. Furthermore, this study used Spearman correlation and self-organizing map (SOM) to analyze the relationships between these five ecosystem services and identify ecosystem service bundles. Finally, this study used random forests to analyze drivers of ecosystem service multifunctionality. Our results showed that food production in the Huang-Huai-Hai Plain increased significantly by 37.20% over time, annual water yield decreased significantly by 29.59%, and climate regulation decreased significantly by 6.09%. This may be because the Huang-Huai-Hai Plain mainly shifted from monoculture to crop rotation, and the increase in crops required more irrigation, which led to a significant decline in water yield. Furthermore, the area of grain crops in the HHHP was reduced in 2019 compared to 2005, which explains the significant decline in climate regulation. SOM found that cities with a higher beta-multifunctionality were mainly concentrated in the northern and southwest parts of HHHP. Bundles with a high alpha-multifunctionality were mainly in the southern and southeast parts of the HHHP. In addition, this research showed that farmers' per capita disposable income was the most important driver of ecosystem service multifunctionality, followed by annual average precipitation and temperature. In conclusion, this study suggests that policymakers should strengthen the protection of some high ecological value but low economic value farmlands, which are crucial for regional ecological security. Meanwhile, policymakers should introduce strict ecological protection policies for farmland to reduce the decline of ecological services caused by farmers' pursuit of economic income.

Integrating online deliberation into ecosystem service valuation.

Stated preference valuation of ecosystem services involves participants answering hypothetical questions to express preferences. Participants tend to respond to the hypothetical questions separately, without any deliberation (the process of considering and discussing within a group). However, a relatively recent development in deliberation research involves asking participants to state preferences via deliberation. Deliberation is historically conducted in-person but can now also be done online. This paper covers the strengths and limitations of integrating online deliberation into stated preference valuation, including: (1) comparison between stated preference valuation with and without deliberation, (2) comparison between in-person and online deliberation, and (3) comparison between online deliberation media, such as typing, video meetings, and voice calls. Conducting deliberation can broaden participants' understanding of the target ecosystem services and others' preferences. However, this requires participants' willingness to deliberate and increases time investment. Online deliberation has lower costs and travel restrictions and higher time efficiency and confidentiality of personal information than in-person deliberation. However, people with low abilities or willingness to use online media are disadvantaged. Differences in the online deliberation media may reduce or improve the inclusiveness, engagement, and openness of deliberations in ways that affect valuation results. We also provide suggestions for selecting deliberation media and mitigating deliberation bias derived from the choice of deliberation media. Further research should explore how to improve time efficiency and affordability of online deliberation, how to promote inclusiveness, engagement, and openness of online deliberation, and how different deliberation media affect deliberation quality and valuation results.

At least two accounting systems for Gross Ecosystem Product (GEP) are needed.

Gross Ecosystem Product (GEP) denotes the aggregate value of ecosystem services (ESs) supplied by all ecosystem types within an accounting area for a given accounting period in monetary units and represents one of the multiple types of measures of ES values. The value of each ES is typically calculated by multiplying the ES's quantity by the ES's unit value that may be reflected by various proxies, such as market price, replacement cost, and avoided damage cost. As an economic, ecological, or environmental indicator, GEP should be calculated based on certain standards, allowing for comparison over time and across regions. While many standards, including which ESs to account for and what proxies for ESs' values to use, should be unified to improve the comparability of GEP, this standardization does not mean a single GEP accounting system is sufficient to achieve multiple goals. Instead, at least two accounting systems with different applicability and levels of sophistication are needed. (1) To assess environmental status, ecosystems' capacities to provide ESs, and the performance of environmental governance, there should be a simplified system that accounts for both realized ESs (actually received by humans) and potential ESs (beyond actual humans demands) and adopts a nationwide unified constant unit value of each ES. (2) To assess ESs' actual contributions to socioeconomic development and human well-being, there should be a more sophisticated system that accounts for realized ESs only and adopts a dynamic unit value of each ES. This dynamic unit value should be adjusted to fit local socioeconomic and ecological contexts, consider the tipping point or threshold in each ES's quantity, and reflect the diminishment or increment in the marginal utility of each ES.

Unveiling the threshold in forest patch shapes to soil retention ecosystem services.

Soil erosion is a critical process that leads to landscape degradation, compromising soil fertility and ecosystem functions. Forest ecosystems, with their intricate characteristics, play a pivotal role in mitigating soil erosion and providing soil retention ecosystem services (SRES). This study explores the impact of forest patch thresholds and critical points on soil erosion rates, focusing on 401 catchments in Poland using generalised additive models to identify thresholds and critical points in forest patches. Landscape metrics were applied to measure landscape structure, including shape, fractal dimension, contiguity, related circumscribing circles, and perimeter-area ratio indexes. These metrics, along with slope, rainfall, organic carbon content, water content, and clay ratio variables, were considered dependent variables in the models. The developed models have demonstrated reliable performance in estimating soil erosion rates, with a significant deviation explained from 80.5 to 81.1 for coniferous forest patches, 79.1 to 80.1 for broad-leave forest patches, and 80.9 to 81.4 for mixed forest patches at p < 0.05. In broad-leaved forests, three thresholds are identified in the shape index, which influence soil erosion rates in a complex manner. For coniferous forests, thresholds in the perimeter area ratio, related circumscribing circles, and contiguity indexes exhibit nonlinear relationships with soil erosion rates. Mixed forests show two thresholds in the related circumscribing circle and one in the fractal dimension index, affecting soil erosion rates differently. This research contributes significantly to understanding the interplay between forest patch shapes and soil erosion rates, providing decision support for land use planning. The identified thresholds and critical points offer valuable tools to enhance sustainable landscape functionality, emphasizing the importance of considering forest landscape structure in preserving soil retention ecosystem services.

Urban green vitalization and its impact on green exposure equity: A case study of Shanghai city, China.

Urban green space (UGS) provides multiple ecosystem services to enhance the residents' well-being in the cities. As a characterization of differences in the degree of interaction between residents and UGS, Green exposure equity, has been recognized as an environmental justice issue. In this study, we propose the concept of urban green space' vitalization (UGV) as a primary criterion for assessing whether the UGS' functions or services are realized. Taking Shanghai, China as a case study, we developed an assessment system for UGV, and quantified UGV's availability to examine the impact on green exposure equity. Our research shows that 1000 m is the optimal service radius to determine whether UGS vitality is realized. All UGS in the central regions of Shanghai have realized their vitality, while areas devoid of vitality are mainly located in the non-central. Compared to UGS, the availability of UGV in Shanghai was cumulatively reduced by 321.07 km2, 10,812.61 km2, and 197,496.54 km2 for walking, public transport, and driving modes, respectively. In the non-central regions, the minimum green availability per capita for walking and public transport modes was reduced to 0 ha. The influence of UGV on green exposure equity varies depending on research scales and travel modes, as it is affected by heterogeneity in the distribution of UGS and population. Our research confirmed that UGV significantly reduces green availability and influences green exposure equity. Green exposure equity could be significantly improved by UGV under public transport mode and the district scale. Therefore, UGV is an essential factor in quantifying the equity of green exposure. Our research can serve as a basis for more realistic measurements of green exposure equity, providing insights for improving environmental justice in sustainable cities.

Multiscale spatiotemporal characteristics and influencing factors of ecosystem service value of groundwater in China.

Ecosystem services are fundamental to human survival on Earth, but studies on ecosystem service value of groundwater (ESV-G) are rare. The multiscale characteristics and influencing factors of ESV-G in China from 2000 to 2020 were analyzed in this study. The results showed that ESV-G decreased first and then increased, the average ESV-G was 130.30 thousand yuan/km2, and ESV-G tended to shift towards middle level (second to fourth class). The Hu Line was the dividing line between the first class (more than half area) and the others. The AI and FRAC values indicated that the patches of ESV-G were more concentrated, with simpler shapes that were more amenable to governance at the province scale. Hot spots and cold spots were mainly located in the eastern and western parts of Hu Line, respectively. The ESV-G of the cold spots per unit area at the province scale was higher than that at the city scale, which indicated that the province scale had the potential for higher ESV-G per unit area and cost advantage. Precipitation and temperature were the main factors affecting ESV-G; the influence of human activities on ESV-G increased on a larger scale as time went by. Combination of precipitation and Digital Elevation Model (DEM) had the greatest influence on ESV-G among the combinational influencing factors. The province scale was the optimal scale to manage ESV-G. Climate change had led to the expansion of hot and cold spots of ESV-G, northern and southern areas should combine existing policies to carry out differentiated governance. This study extended the scope of ecosystem service value studies from land surface to underground, providing a scientific basis for the management of groundwater ecosystem.

Spatiotemporal dynamics of ecosystem supply service intensity in China: Patterns, drivers, and implications for sustainable development.

With the steady development of global economy and the rapid increase of population, it is of great significance to quantify the supply capacity of ecosystem services and reveal its driving factors for sustainable development. We quantify the ecosystem supply service intensity (ESSI) using multiple sources of natural and cultural data from 2000 to 2020. We then jointly analyze this data with the information entropy of the land to obtain the temporal and spatial evolution law of ESSI under multiple scales in China. At the same time, according to the spatial distribution of ESSI in China, the concept of China's ecosystem supply service intensity development equilibrium line (ESSIL) is innovatively put forward. The results show that the spatial distribution pattern of China's ESSI is symmetrical with the ESSIL which is nearly orthogonal to Hu Huanyong line. Because of the different regional development policies, different regions with different economic levels have different driving effects on land change. Furthermore, due to the country's large size, the primary ESSI drivers vary greatly throughout its various regions. The assessment of the ESSI changes in China from multi-scale, combined with the effects of land cover change, climate and human activities, and put forward a new pattern distribution mode of ESSI in China, which provides a new perspective for formulating ecologically sustainable development strategies in large-scale areas.

Cross-scale coupling of ecosystem service flows and socio-ecological interactions in the Yellow River Basin.

As research on the full spectrum of ecosystem service (ES) generation and utilization within coupled human and natural systems (CHANS) has expanded, many studies have shown that the spatiotemporal dynamics of ESs are managed and influenced by human activities. However, there is insufficient research on how ESs are affected by bidirectional coupling between societal and ecological factors during spatial flow, particularly in terms of cross-scale impacts. These bidirectional influences between humans and nature are closely related to the utilization and transfer of ESs and affect the perception of spatiotemporal patterns of ESs and the formulation of management strategies. To fill this research gap, this study focuses on the Yellow River Basin (YRB), using network models to track the spatial dynamics of ES flows (ESFs) and the interactions between ecosystems and socio-economic systems within the basin on an annual scale from 2000 to 2020. The results highlight cross-scale impacts and feedback processes between local subbasins and the larger regional basin: As the supply-demand ratios of freshwater ESs, soil conservation ESs, and food ESs increase within individual subbasins of the YRB, more surplus ESs flow among subbasins. This not only alleviates spatial mismatches in ES supply and demand across the entire basin but also enhances the connectivity of the basin's ESF network. Subsequently, the cascading transfer and accumulation of ESs feedback into local socio-ecological interactions, with both socio-economic factors and the capacity for ES output within subbasins becoming increasingly reliant on external ES inflows. These results underscore the crucial role of ESFs within the CHANS of the YRB and imply the importance of cross-regional cooperation and cross-scale management strategies in optimizing ES supply-demand relationships. Furthermore, this study identifies the potential risks and challenges inherent in highly coupled systems. In conclusion, this work deepens the understanding of the spatial flow characteristics of ESs and their socio-ecological interactions; the analytical methods used in this study can also be applied to research on large river basins like the YRB, and even larger regional ecosystems.

Spatial scale effects on the value of ecosystem services in China's terrestrial area.

Identifying the response characteristics of ecosystem service value (ESV) to changes in spatial scales, known as spatial scale effects, is crucial in guiding the development of corresponding management strategies. This paper examines ESV in China's terrestrial area during the year 2020, revealing the spatial aggregation characteristics of ESV and the trade-off and synergistic relationships of ecosystem services at different spatial scales, ranging from 1 km × 1 km-10 km × 10 km, with a gradient of 1 km. The results indicate: 1) The distribution pattern of ESV in China's terrestrial area is "high in the southeast and low in the northwest." 2) The spatial characteristics of ESV in China's terrestrial area undergo a distinct transition at the 3 km × 3 km scale. In detail, the spatial clustering features show a trend of first rising and then falling with the increase in spatial scale, while the synergistic relationships between different ecosystem services strengthen and the trade-off relationships weaken with the increase of the spatial scale. These findings can inform the formulation of differentiated ecological protection compensation policies and enable cross-area trading of ecological values in China.

Systematic conservation planning considering ecosystem services can optimize the conservation system in the Qinling-Daba Mountains.

Protected area are the cornerstone of biodiversity and ecosystem service conservation at the local, regional, and global levels. In 2019, China proposed the establishment of a nature reserve system (NRS)centered on national parks, integrating and improving various existing protected areas. This study focuses on the Qinling‒Daba Mountains, an area crucial for both biodiversity and ecosystem services. Through assessments of carbon storage (CS), water yield (WY), soil conservation (SC), and habitat quality (HQ), different conservation scenarios are considered in the context of Systematic conservation planning (SCP). An optimization scheme for the NRS in the Qinling-Daba Mountains is proposed, incorporating ecosystem services and comparing them with the existing system. Research indicates that the main protected areas are concentrated in the Min Mountain‒Motian Mountain‒Longmen Mountain region, the central Qinling region, and the Shennongjia‒Daba Mountain region. Compared with the original system, the area of protected regions in the NRS expanded by 52,000 km2 after the SCP scheme was incorporated. The number of patches decreased to 50, and the patch density reduced from 2.1 × 10-4(/100 ha) to 1.7 × 10-4(/100 ha), thereby reducing the fragmentation of the conservation system. Additionally, the optimized scheme achieved a conservation ratio of over 30% for CS, WY, SC, and HQ, with the conservation efficiency for WY and HQ increasing by 0.18 and 0.22, respectively. The study results provide support for optimizing the Qinling-Daba Mountains NRS and offer a reference for constructing NRSs in other regions. Considering ecosystem services in the optimization of the NRS helps enhance the supply capacity of ecological products, maintain national ecological security, and achieve harmonious coexistence and sustainable development between humans and nature.

Telecoupling between urban expansion and forest ecosystem service loss through cultivated land displacement: A case study of Zhejiang Province, China.

Urbanization can either directly occupy forests or indirectly lead to forest loss elsewhere through cultivated land displacement, resulting in further forest fragmentation and ecosystem service (ES) loss. However, the effects of urban expansion on forest area and ESs are unknown, and this is especially true for indirect effects. Taking Zhejiang Province, China, a typical deforested province, as an example, this study quantified the direct and indirect effects of urban expansion on forest area and five ESs (timber yield, water yield, carbon sequestration, soil conservation, and biodiversity) from 2000 to 2020, explored the relationship between forest structure (forest proportion, mean patch area, edge density, and mean euclidean nearest neighbor distance) change and ESs, and revealed the telecoupling of urban expansion and forest loss and cascade effects among urbanization, deforestation, forest structure, and ESs. The results indicated that the indirect forest loss (4.30%-6.15%) caused by cultivated land displacement due to urban expansion was larger than the direct forest loss (2.42%). Urban expansion has a greater negative impact on carbon sequestration (6.40%-8.20%), water yield (6.08%-7.78%), and biodiversity (5.79%-7.44%) than on timber yield (4.77%-6.17%) and soil conservation (4.43%-5.77%). The indirect forest ES loss was approximately 2.83-4.34 times greater than the direct forest ES loss. Most forest ESs showed a nonlinear significant positive correlation with changes in forest proportion and mean patch area and a significant nonlinear negative correlation with changes in edge density and mean Euclidean nearest neighbor distance (p < 0.05). There is telecoupling between urban expansion in one region and forest ES loss in other distant regions. This study contributes to guiding sustainable forest conservation and management globally.

Assessing and decoupling ecosystem services evolution in karst areas: A multi-model approach to support land management decision-making.

Incorporating Ecosystem Service Value (ESV) into land use planning provides a fresh perspective for informed land management decisions. ESV, influenced by socio-economic and natural factors, has complex driving mechanisms, particularly in China's southwestern karst regions. Studying mediating variables helps elucidate these mechanisms. Further research into ecosystem services interactions and effective land use policies in karst areas is needed. This study evaluates the ESV of Guizhou Province, located in southern China's karst region, using the benefit transfer approach. Combining the Guizhou Provincial Land Use Planning Outline (2006-2020) with the multi-objective programming (MOP) model optimized by genetic algorithm and the patch-generating land use simulation (PLUS) model, four future development scenarios were designed. The response of ESV to land use and land cover (LULC) changes at the county scale under four different development scenarios from 2000 to 2020 and in the future was analyzed. A partial least squares structural equation model (PLS-SEM) was used to decouple the driving mechanism affecting ESV. The results show that over the past two decades, with the implementation of various ecological restoration projects, the total ESV has increased. The ESV for natural development scenarios, ecological conservation scenarios, economic development scenarios, and sustainable development scenarios are CNY 238.278 billion, CNY 400.514 billion, CNY 283.201 billion, and CNY 323.615 billion, respectively. The direct impacts of karst surface characteristic factors (KSCF), meteorological factors (MF), socio-economic factors (SEF) and transportation location factors (TLF) on ESV are positive (0.098), negative (-0.098), positive (0.336), and positive (0.109) respectively. The total effect of KSCF on ESV through influencing socio-economic factors and LULC is (-0.738), with SEF playing a complete mediating role. MF indirectly affect ESV by influencing LULC, with LULC playing a complete mediating role in this process. The PLS-SEM model shows that under the dominant position of LULC, the interaction between natural environmental factors and socio-economic factors on ESV is very complex. This study offers valuable insights that can guide managers in this region, as well as in other karst regions globally, in the development of sustainable land use policies.

Thriving arid oasis urban agglomerations: Optimizing ecosystem services pattern under future climate change scenarios using dynamic Bayesian network.

The effects of global climate change and human activities are anticipated to significantly impact ecosystem services (ESs), particularly in urban agglomerations of arid regions. This paper proposes a framework integrating the dynamic Bayesian network (DBN), system dynamics (SD) model, patch generation land use simulation (PLUS) model, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model for predicting land use change and optimizing ESs spatial patterns that is built upon the SSP-RCP scenarios from CMIP6. This framework is applied to the oasis urban agglomeration on the northern slope of the Tianshan Mountains in Xinjiang (UANSTM), China. The findings indicate that both the SD model and PLUS model can accurately forecast the distribution of future land use. The SD model shows a relative error of less than 2.32%, while the PLUS model demonstrates a Kappa coefficient of 0.89. The land use pattern displays obvious spatial heterogeneity under different climate scenarios. The expansion of cultivated land and construction land is the main form of land use change in UANSTM in the future. The DBN model proficiently simulates the interactive relationships between ESs and diverse factors. The classification error rates for net primary productivity (NPP), habitat quality (HQ), water yield (WY), and soil retention (SR) are 20.04%, 3.47%, 4.45%, and 13.42%, respectively. The prediction and diagnosis of DBN determine the optimal ESs development scenario and the optimal ESs region in the study area. It is found that the majority of ESs in UANSTM are predominantly influenced by natural factors with the exception of HQ. The socio-economic development plays a minor role in such urban agglomerations. This study offers significant insights that can contribute to the fields of ecological protection and land use planning in arid urban agglomerations worldwide.

Quantifying multi-dimensional services of water ecosystems and breakpoint-based spatial radiation of typical regulating services considering the hierarchical clustering-based classification.

This study proposes a set of water ecosystem services (WES) research system, including classification, benefit quantification and spatial radiation effect, with the goal of promoting harmonious coexistence between humans and nature, as well as providing a theoretical foundation for optimizing water resources management. Hierarchical cluster analysis was applied to categorize WES taking in to account the four nature constraints of product nature, energy flow relationships, circularity, and human social utility. A multi-dimensional benefit quantification methodology system for WES was constructed by combining the emergy theory with multidisciplinary methods of ecology, economics, and sociology. Based on the theories of spatial autocorrelation and breaking point, we investigated the spatial radiation effects of typical services in the cyclic regulation category. The proposed methodology has been applied to Luoyang, China. The results show that the Resource Provisioning (RP) and Cultural Addition (CA) services change greatly over time, and drive the overall WES to increase and then decrease. The spatial and temporal distribution of water resources is uneven, with WES being slightly better in the southern region than the northern region. Additionally, spatial radiation effects of typical regulating services are most prominent in S County. This finding suggests the establishment of scientific and rational intra-basin or inter-basin water management systems to expand the beneficial impacts of water-rich areas on neighboring regions.