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Policies and research increasingly focus on the protection of ecosystem services (ESs) through priority-area conservation. Priority areas for ESs should be identified based on ES capacity and ES demand and account for the connections between areas of ES capacity and demand (flow) resulting in areas of unique demand-supply connections (flow zones). We tested ways to account for ES demand and flow zones to identify priority areas in the European Union. We mapped the capacity and demand of a global (carbon sequestration), a regional (flood regulation), and 3 local ESs (air quality, pollination, and urban leisure). We used Zonation software to identify priority areas for ESs based on 6 tests: with and without accounting for ES demand and 4 tests that accounted for the effect of ES flow zone. There was only 37.1% overlap between the 25% of priority areas that encompassed the most ESs with and without accounting for ES demand. The level of ESs maintained in the priority areas increased from 23.2% to 57.9% after accounting for ES demand, especially for ESs with a small flow zone. Accounting for flow zone had a small effect on the location of priority areas and level of ESs maintained but resulted in fewer flow zones without ES maintained relative to ignoring flow zones. Accounting for demand and flow zones enhanced representation and distribution of ESs with local to regional flow zones without large trade-offs relative to the global ES. We found that ignoring ES demand led to the identification of priority areas in remote regions where benefits from ES capacity to society were small. Incorporating ESs in conservation planning should therefore always account for ES demand to identify an effective priority network for ESs. Las políticas y las investigaciones cada vez más se enfocan en la protección de los servicios ambientales (SAs) por medio de la conservación de áreas prioritarias. Las áreas prioritarias para los SAs deberían ser identificadas con base en la capacidad de SAs y la demanda de SAs, y deberían representar las conexiones entre las áreas de capacidad de SAs y la demanda (flujo), resultando así en áreas de conexiones únicas de demanda y suministro (zonas de flujo). Probamos maneras para representar la demanda de SAs y las zonas de flujo para identificar las áreas prioritarias en la Unión Europea. Mapeamos la capacidad y la demanda de un SA global (secuestro de carbono), regional (regulación de inundación), y tres locales (calidad del aire, polinización, y tiempo libre urbano). Usamos el software Zonation para identificar las áreas prioritarias para los SAs con base en seis experimentos: con y sin representación de la demanda de los SAs, y cuatro experimentos que representaron el efecto de la zona de flujo de los SAs. Sólo hubo un traslape de 37.1 % entre el 25 % de las áreas prioritarias que englobaron la mayoría de los SAs con y sin representación de la demanda de SAs. El nivel de los SAs que se mantuvo en las áreas prioritarias incrementó de un 23.2 % a 57.9 % después de considerar la demanda de los SAs, especialmente para aquellos SAs con una zona de flujo reducida. Representar la zona de flujo tuvo un pequeño efecto sobre la ubicación de las áreas prioritarias y el nivel de SAs que se mantuvo, pero resultó en menos zonas de flujo sin SAs mantenidos en relación a ignorar las zonas de flujo. Representar la demanda y las zonas de flujo mejoró la representación y distribución de los SAs con zonas de flujo de regionales a locales sin compensaciones grandes en relación al SA global. Hallamos que ignorar la demanda de SAs llevó a la identificación de las áreas prioritarias en las regiones remotas en donde los beneficios de la capacidad de los SAs para la sociedad fueron pequeños. Incorporar los SAs a la planeación de la conservación por lo tanto debería siempre representar a la demanda de los SAs para identificar una red efectiva de prioridades para los SAs. reducida. Representar la zona de flujo tuvo un pequeño efecto sobre la ubicación de las áreas prioritarias y el nivel de SAs que se mantuvo, pero resultó en menos zonas de flujo sin SAs mantenidos en relación a ignorar las zonas de flujo. Representar la demanda y las zonas de flujo mejoró la representación y distribución de los SAs con zonas de flujo de regionales a locales sin compensaciones grandes en relación al SA global. Hallamos que ignorar la demanda de SAs llevó a la identificación de las áreas prioritarias en las regiones remotas en donde los beneficios de la capacidad de los SAs para la sociedad fueron pequeños. Incorporar los SAs a la planeación de la conservación por lo tanto debería siempre representar a la demanda de los SAs para identificar una red efectiva de prioridades para los SAs.

Human actions, such as converting natural land cover to agricultural or urban land, result in the loss and fragmentation of natural habitat, with important consequences for the provision of ecosystem services. Such habitat loss is especially important for services that are supplied by fragments of natural land cover and that depend on flows of organisms, matter, or people across the landscape to produce benefits, such as pollination, pest regulation, recreation and cultural services. However, our quantitative knowledge about precisely how different patterns of landscape fragmentation might affect the provision of these types of services is limited. We used a simple, spatially explicit model to evaluate the potential impact of natural land cover loss and fragmentation on the provision of hypothetical ecosystem services. Based on current literature, we assumed that fragments of natural land cover provide ecosystem services to the area surrounding them in a distance-dependent manner such that ecosystem service flow depended on proximity to fragments. We modeled seven different patterns of natural land cover loss across landscapes that varied in the overall level of landscape fragmentation. Our model predicts that natural land cover loss will have strong and unimodal effects on ecosystem service provision, with clear thresholds indicating rapid loss of service provision beyond critical levels of natural land cover loss. It also predicts the presence of a tradeoff between maximizing ecosystem service provision and conserving natural land cover, and a mismatch between ecosystem service provision at landscape versus finer spatial scales. Importantly, the pattern of landscape fragmentation mitigated or intensified these tradeoffs and mismatches. Our model suggests that managing patterns of natural land cover loss and fragmentation could help influence the provision of multiple ecosystem services and manage tradeoffs and synergies between services across different human-dominated landscapes.

Poverty and biodiversity loss are two of the world's dire challenges. Claims of conservation's contribution to poverty alleviation, however, remain controversial. Here, we assess the flows of ecosystem services provided to people by priority habitats for terrestrial conservation, considering the global distributions of biodiversity, physical factors, and socioeconomic context. We estimate the value of these habitats to the poor, both through direct benefits and through payments for ecosystem services to those stewarding natural habitats. The global potential for biodiversity conservation to support poor communities is high: The top 25% of conservation priority areas could provide 56%–57% of benefits. The aggregate benefits are valued at three times the estimated opportunity costs and exceed $1 per person per day for 331 million of the world's poorest people. Although trade-offs remain, these results show win—win synergies between conservation and poverty alleviation, indicate that effective financial mechanisms can enhance these synergies, and suggest biodiversity conservation as a fundamental component of sustainable economic development.

The global shift toward agricultural specialization in the 20th century led to unprecedented ecological and socioeconomic changes, both positive and negative, in rural landscapes. Economic theory describes comparative advantage and market participation as two important drivers of such changes. Landscapes in the Global South are still often characterized by subsistence agriculture and direct dependence on natural ecosystem processes. Agricultural specialization is part of the structural transformation process from subsistence to market-oriented agriculture. However, comparative advantage and market participation as major drivers for agricultural specialization remain understudied. In this paper, we assess the potential drivers of ecosystem service specialization in an Ethiopian smallholder landscape at the kebele level, the smallest administrative unit in Ethiopia. We measured specialization via the concentration of production for a range of locally important provisioning ecosystem services (beef, cattle, coffee, eucalyptus, honey, maize, sorghum, and teff). We measured comparative advantage based on productivity data, and assessed spatial flows of ecosystem services to local, regional, and global markets (i.e., telecoupling). To unpack the relationships between specialization, comparative advantage, and telecoupling, we used hierarchical clustering, principal component analysis, correlation analysis, and linear regression. More telecoupled kebeles (i.e., kebeles that produced more of ecosystem services that flow to broader spatial scales) were more specialized in their ecosystem service production, and the positive relationship between comparative advantage and specialization grew stronger with altitude. Wealthier kebeles and kebeles with higher population density were less specialized. Biophysical drivers, such as altitude and amount of forest cover, influenced the ecosystem services produced and the relationship between comparative advantage and specialization. Policy makers should therefore try to balance potential positive and negative consequences of specialization, and to account for fine-scale social and biophysical drivers underpinning diverse ecosystem service production profiles.

Ecosystem service (ES) flows across geophysical and administrative boundaries are ubiquitous and are receiving more attention in an increasingly metacoupled world. Omitting trans-boundary ES flows from ES assessments will lead to unilateral conclusions and underestimation of ES contributions over distances. Inner Mongolia is an important ecological security barrier of China and Eurasia, but the trans-boundary effect of this barrier is difficult to be quantitatively evaluated and is rarely assessed. This study assessed the ecological security barrier function of Inner Mongolia from the perspective of trans-boundary ES flows, including wind prevention and sand fixation (WPSF), water provision (WP), carbon sequestration (CS) and livestock product provision (LPP) service flows. The trans-boundary value flows for the WPSF, WP, CS and LPP services in 2010 were 6.20 × 1010 CNY (Chinese currency, yuan), 0.21 × 1010 CNY, 1.29 × 1010 CNY and 1.27 × 1010 CNY, respectively, and 5.89 × 1010 CNY, 0.16 × 1010 CNY, 0.37 × 1010 CNY and 1.33 × 1010 CNY, respectively, in 2015; correspondingly, the percentages of these trans-boundary value flows in terms of the total value flow were 69.12%, 2.34%, 14.38% and 14.16%, respectively, in 2010 and 76.00%, 2.06%, 4.77% and 17.16%, respectively, in 2015. Therefore, WPSF service plays a more important role in the trans-boundary ecological security barrier function of Inner Mongolia. This study can enhance the understanding of trans-boundary telecoupling in an integral socio-ecological system and identify the critical ESs to form a foundation for ecological conservation measures considering sustainable development.

Ecosystem service assessments rarely consider flows between distant regions. Hence, telecoupling effects such as conservation burdens in distant ecosystems are ignored. We identified service-providing species for two cultural ecosystem services (existence and bequest, and birdwatching) and two receiving, i.e. benefitting, regions (Germany, the Netherlands). We delineated and analysed sending, i.e. service-providing, regions on a global scale. The proportion of service-providing species with distant habitats was higher for birdwatching (Germany: 58.6%, Netherlands: 59.4%), than for existence and bequest (Germany: 49.3%, Netherlands: 57.1%). Hotspots of sending regions were predominantly situated in tropical and subtropical grasslands, savannas and shrublands and were significantly more threatened and poorer than the global mean. Hotspot protection levels for flows to Germany were higher than the global mean, and lower for the Dutch hotspots. Our findings increase understanding on how distant regions underpin ecosystem services and necessitate interregional assessment as well as conservation efforts.

Accurately identifying ecological compensation (EC) regions and establishing clear compensation criteria are essential for promoting carbon sequestration, mitigating ecological degradation, and supporting equitable resource allocation. In this study, ecological modeling combined with hotspot analysis was applied to quantify the spatial mismatch between ecosystem service (ES) supply and demand on the Tibetan Plateau (TP) in 2020. We introduced the concept of comparative ecological radiation force (CERF) to characterize the spatial flow of ESs and to estimate the total compensation required to balance these flows. Our results highlight that the value of carbon sequestration, represented by net primary production (NPP), reached 1.21 × 10⁶ CNY, alongside other key services such as soil conservation (SC) (284.69 × 10 6 CNY), water yield (WY) (44.99 × 10 6 CNY) and food supply (FS) (20.81 × 10 6 CNY). The directional analysis of service flows revealed that NPP, along with SC and WY, predominantly flowed from east to west, while FS exhibited a north-to-south pattern. Notably, NPP received only 0.16% of the total ecological compensation, in contrast to 95.42% for SC, 4.21% for WY, and 0.21% for FS. This study provides an integrated framework for aligning EC strategies with carbon management goals, offering insights to support carbon neutrality efforts and ecosystem restoration on the TP.

Assessing ecosystem service (ES) supply–demand relationships and identifying their driving forces are essential for ecological security and sustainable ecosystem development. Using ES supply–demand mismatches as a basis, this study characterized the spatiotemporal evolution of ES supply and demand from 2000 to 2023. Additionally, a SHAP-informed Stacking Bayesian optimization model was employed to identify key drivers of supply–demand imbalances. Building on this, threshold-aware spatial optimization of ecosystem service flows was performed using an improved minimum-cost algorithm within an NSGA-II multi-objective framework. The results showed that: (1) The YREB’s supply–demand balance (SDB) exhibited significant spatial heterogeneity. Water SDB declined with fluctuations, decreasing from 5.343 × 1011 m3 to 4.433 × 1011 m3, whereas carbon SDB shifted from a surplus (+1.514 × 109 t) to a deficit (−1.673 × 109 t) during the study period. Crop SDB rose from 1.361 × 108 to 1.450 × 108 t across the study period. (2) Nighttime light intensity (NLI) was the dominant factor for water SDB and carbon SDB, while cropland area was the key driver for crop SDB. (3) Over 2000–2023, water SDB flow increased from 8.5 × 109 m3 to 1.43 × 1010 m3. Carbon SDB flows more than tripled from 9.576 × 107 tons to 2.89 × 108 tons. Crop SDB flow increased nearly twelvefold over 2000–2023, from 3.3 × 105 t to 3.93 × 106 t. The findings provide scientific support for coordinating ecological conservation and high-quality development across the Yangtze River Economic Belt.

Ecosystem service flows are critical linkages between ecological supply and human demand. As a vital component of ecosystem services, water yield service is essential for human survival and development. Therefore, it is of great significance to explore the supply–demand relationship of water yield service and its spatial flow process. This study investigates the supply–demand dynamics and spatial flow of water yield service in the transnational area of Tumen River (2000–2020), utilizing the InVEST model and the miniature delivery-path-mechanism model. The results show the following: (1) From 2000 to 2020, the supply of water yield service in the Tumen River Basin exhibited a spatial distribution pattern of “low center, high surrounding”, with significant spatial heterogeneity in the distribution of supply and demand. (2) Despite the substantial surplus of water yield service in the study area, the ecosystem service supply–demand ratio (ESDR) shows an overall declining trend. The dominant spatial mismatch type is high-supply–low-demand (HL type) zones, primarily located in mountainous and hilly areas, accounting for over 40% of the total identified pixel types. (3) Driven by economic and social development, the spatial scope of water yield service flow has gradually expanded. Supply-side flows initially increased before declining, while demand-side flows followed the opposite trend. By mapping ecosystem service flows, this study provides a reference and basis for establishing the regional ecological compensation mechanism and promoting integrated water resource management, both of which are crucial for the long-term sustainable development of the basin.

Understanding the flow processes and pattern optimization of ecosystem services (ESs) supply and demand is crucial for integrated regional ecological management. However, the understanding of the flow process of ESs at the 1 km grid scale is still limited, especially in areas dominated by mineral resource development. The landscape in these areas has undergone significant changes due to mining activities. It is urgent to construct a regional management model that integrates the flow of ecosystem services and mine restoration. This study developed a framework that links ecosystem service flows (ESFs) and ecological security patterns (ESP) based on multi-source ecological monitoring data, constructed an ES supply-demand flow network through the flow properties, and determined the sequence and optimization strategies for mine rehabilitation to achieve integrated regional management. The results show that, except for food production (FP), other services were in surplus overall, mostly in synergistic relationships, but the spatial distribution of their supply and demand was not coordinated. Surplus areas were located mainly in the eastern woodlands, and deficit areas were located in the northwestern production agglomeration centers, suggesting that areas of supply-demand imbalance can be mitigated through ecological integration. Among these, water yield (WY) had a small number of sources and sinks and is limited in area range. Habitat quality (HQ) sources and sinks had the largest area coverage and the highest number. The distribution of ESF corridors, influenced by factors such as the number of sources and sinks, flow characteristics, and spatial resistance, varied significantly. HQ exhibited a more uniform distribution range, while WY had a longer average length of flow path. Overlaying ecological and mining factors, we identified ecological strategic spots, important supply areas, beneficiary areas, and mine priority restoration areas to further optimize the overall layout and rationally allocate the intrinsic structure of the patches based on ES supply and demand.