Ecosystem Services最新文献

Dual valuation of tree-covered areas: ecosystem services provision vs. their appreciation by residents 树木覆盖地区的双重价值：生态系统服务提供与居民对其的欣赏

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-29 DOI: 10.1016/j.ecoser.2026.101820

Patrycja Przewoźna , Adam Inglot , Karolina Zięba-Kulawik , Paweł Hawryło , Krzysztof Mączka , Marcin Mielewczyk , Piotr Matczak , Piotr Wężyk

Due to varying stakeholder perspectives, urban trees in diverse settings like Urban Green Spaces and residential areas pose challenges to sustainable urban planning. The research proposes a two-sided valuation approach for tree-covered areas (TCAs) based on an analysis of Ecosystem Services (ESs), enabling the juxtaposition of these perspectives. On the one hand, it compiles information on ESs provided by the TCAs which is derived from two data types: (1) remote sensing used for the mapping of TCAs and estimation of their regulating ESs (such as oxygen production or shading) that can be calculated with the i-Tree Eco model, and (2) participatory mapping with local practitioners to estimate the provision of other types of ESs related to those trees (such as providing animal habitat, food, or places of recreation). On the other hand, it compiles the local community’s appreciation (i.e., how valuable they are) using public participation geoinformation systems. Both sides of the valuation are compared using multi-criteria decision-making and fuzzy set theory. The potential of the proposed approach is presented in the case study of Racibórz (Poland), which considers 17 types of ESs representing four classes of services: provisioning, regulating, habitat, and cultural, recognizing their varying significance. Validation is conducted against areas with high legal protection, revealing spatial mismatches between ES supply and community appreciation. The presented valuation method allows for identifying the most valuable TCAs in urban landscapes, considering different geodata and dwellers’ perspectives, thus supporting local decision-makers and planners.

由于利益相关者的不同观点，城市绿地和住宅区等不同环境中的城市树木对可持续城市规划提出了挑战。本研究提出了一种基于生态系统服务（ESs）分析的树木覆盖地区（TCAs）的双边评估方法，使这些观点并置。一方面，它汇集了由tca提供的生态环境信息，这些信息来自两种数据类型：(1)遥感用于tca的测绘和估计其调节的生态环境（如氧气生产或遮阳），可以用i-Tree生态模型计算；(2)与当地从业人员进行参与式测绘，以估计与这些树木相关的其他类型的生态环境（如提供动物栖息地、食物或娱乐场所）。另一方面，它利用公众参与的地理信息系统收集当地社区的评价（即它们的价值）。运用多准则决策和模糊集理论对两种评价方法进行了比较。所提议的方法的潜力在Racibórz（波兰）的案例研究中提出，该研究考虑了17种类型的ESs，代表四类服务：供应、调节、生境和文化，并认识到它们的不同意义。对具有高度法律保护的区域进行验证，揭示了ES供应与社区欣赏之间的空间不匹配。所提出的评估方法允许在考虑不同地理数据和居民视角的情况下，确定城市景观中最有价值的tca，从而为当地决策者和规划者提供支持。

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引用次数: 0

Ecosystem services and food security: Local perception aligning with demands in the state of Amazonas, Brazil 生态系统服务和粮食安全：巴西亚马逊州的当地看法与需求一致

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-28 DOI: 10.1016/j.ecoser.2025.101807

Ana Luisa de Carvalho Cruz , David M. Lapola , Moara Almeida Canova , Tiago da Silva Jacaúna , Júlia Menin , Marko Monteiro , Giulia Melilli Serbin , Maíra C.G. Padgurschi

The Amazon forest is a vital provider of ecosystem services (ES) that support food security in various ways, including through food provision and climate regulation. Despite its rich biodiversity, the region faces striking food insecurity. From an ecosystem-based perspective, this study is primarily based on local perception approach (complemented by secondary data surveys) to capture the interplay between ecological availability and people’s perceptions of nature’s benefits, allowing the identification and assessment of ES related to food security. We examined these perceptions under the hypothesis that communities facing higher levels of food vulnerability would perceive and prioritize food-related ES differently from less vulnerable ones. The study was conducted in three municipalities representing a gradient of food vulnerability – Manaus (medium), Carauari (medium–high), and Tabatinga (very high), and collected data via semi-structured interviews from a total 216 interviewees of the local population. Based on interview citations of nature’s benefits, provisioning services accounted for 59% of all ES mentions. Among the specific services, nineteen ES classes were reported, with Food (from crops and livestock) representing approximately 27% of the total mentions. These populations rely directly on the systems they inhabit, and the perceptions varied according to local demands and food vulnerability levels: as food vulnerability decreases, the diversity of perceived ecosystem benefits expands – moving from immediate, survival-oriented benefits toward broader ecological and cultural values. Our findings suggest that the greater the need for a particular ES, the more its importance was recognized (mentioned). Important food security demands were clarified through this approach, underscoring that conservation strategies that incorporate local ES dynamics are essential to enhance community resilience and food security in the Amazon.

亚马逊森林是生态系统服务的重要提供者，以各种方式支持粮食安全，包括通过粮食供应和气候调节。尽管生物多样性丰富，但该地区面临着严重的粮食不安全问题。从基于生态系统的角度来看，本研究主要基于当地感知方法（辅以二次数据调查），以捕捉生态可用性与人们对自然利益的感知之间的相互作用，从而识别和评估与粮食安全相关的ES。我们在假设面临较高食物脆弱性的社区对食物相关ES的感知和优先级不同于较不脆弱的社区的假设下检查了这些看法。该研究在代表粮食脆弱性梯度的三个城市——马瑙斯（中等）、卡拉瓦里（中高）和塔巴廷加（非常高）——进行，并通过半结构化访谈收集了216名当地人口受访者的数据。根据对自然的好处的采访引用，提供服务占所有ES提及的59%。在具体服务中，报告了19个ES类，其中食品（来自作物和牲畜）约占提及总数的27%。这些人口直接依赖于他们所居住的生态系统，人们的看法因当地需求和粮食脆弱性程度而异：随着粮食脆弱性的降低，感知到的生态系统利益的多样性会扩大——从直接的、以生存为导向的利益转向更广泛的生态和文化价值。我们的研究结果表明，对特定ES的需求越大，其重要性就越被认识（提到）。通过这种方法阐明了重要的粮食安全需求，强调了结合当地生态系统动态的保护战略对于增强亚马逊地区的社区复原力和粮食安全至关重要。

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引用次数: 0

The impact of cultural ecosystem service experiences on forest policy acceptance 文化生态系统服务体验对森林政策接受度的影响

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-28 DOI: 10.1016/j.ecoser.2025.101812

Donghee Kim , Juyeon Kim , Haeun Kim , Jiwoo Choi , Bumsuk Seo , Heera Lee

Natural resource management policies are essential for advancing sustainable development, yet their success largely depends on public support. This study examines whether experiences related to cultural ecosystem services (CES) influence public forest policies acceptance beyond the effect of individual awareness. Using a combination of Structural Equation Modeling (SEM) and Bayesian Belief Networks (BBN), we analyzed how various types of CES experiences in forest environments relate to changes in awareness of ecosystem services (ES) and forest policy acceptance. The results indicate that CES experiences positively affect forest policy acceptance. In particular, greater satisfaction with CES experiences was associated with stronger changes in ES awareness and higher forest policy acceptance. Moreover, changes in ES awareness were more strongly linked to the acceptance of policies targeting provisioning services than those addressing regulating services. These findings highlight the importance of broadening public access to and engagement with CES experiences to enhance understanding of ecosystem functions and support for sustainable forest management. Promoting diverse and high-quality CES experiences in natural areas may thus play a vital role in building societal support for sustainable resource management policies.

自然资源管理政策对促进可持续发展至关重要，但其成功在很大程度上取决于公众的支持。本研究探讨了文化生态系统服务（CES）的相关经验是否会影响公众对森林政策的接受程度，而不仅仅是个人意识的影响。采用结构方程模型（SEM）和贝叶斯信念网络（BBN）相结合的方法，分析了森林环境中不同类型的生态系统服务经历与生态系统服务意识变化和森林政策接受度的关系。结果表明，消费经济经验对森林政策接受度有正向影响。特别是，对生态环境体验的更高满意度与生态环境意识的更强变化和更高的森林政策接受度有关。此外，ES意识的变化与针对供应服务的政策的接受程度联系更紧密，而不是针对管理服务的政策。这些研究结果强调了扩大公众获得和参与国际生态系统会议经验的重要性，以加强对生态系统功能的了解和对可持续森林管理的支持。因此，在自然领域促进多样化和高质量的可持续发展经验可在为可持续资源管理政策建立社会支持方面发挥至关重要的作用。

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引用次数: 0

Harnessing Machine learning to quantify ecosystem services in coastal Wetlands: A case study of the Bohai economic Rim 利用机器学习量化滨海湿地生态系统服务——以环渤海经济圈为例

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-27 DOI: 10.1016/j.ecoser.2026.101818

Ting Lu , Ya Ping Wang , Jiyuan Jin , Shibing Zhu , Jianhua Gao , Hu Ding , Qinglong Wu , Fu Wang , Chao Gao

Coastal wetland ecosystems are pivotal for the sustainable economic development of coastal regions. While prior studies have explored interactions between wetlands and human activities across multiple spatiotemporal scales, current ecosystem service (ES) assessments predominantly rely on existing land cover data products with only ∼ 80 % spatial accuracy, insufficient for capturing fine-scale ES spatial variations. This limitation hinders the accurate characterization of complex relationships in wetland environmental science and constrains the reliability of subsequent conservation and management decisions. To address this critical gap, this study aims to improve the accuracy of coastal wetland delineation and ES quantification to ≥ 90 % via an integrated technical method. In this work, the Bohai Economic Rim (BER), a region with intensive interactions between climate change and human activities, was selected as the study case for high-precision coastal wetland mapping and quantification of four key ES types (carbon storage, habitat quality, soil conservation, and water yield). By integrating knowledge-based rules implemented on the Google Earth Engine (GEE) platform with a machine learning algorithm, we identified ES spatial hotspots and cold spots, analyzed trade-off and synergy relationships among the four ESs, and further employed a random forest model to evaluate the relative importance of driving factors (including climate variables and human activity indicators). Results show the total ES index ranges from 0.02 to 0.82 (normalized to 0–1), with all six pairs of ESs exhibiting significant positive correlations, indicating strong synergistic effects. The random forest model reveals that forest proportion and precipitation are the top two influential factors shaping ES spatial variation. This study provides a scalable high-precision ES assessment framework for complex coastal wetland systems with accuracy improved from ∼ 80 % to 93.76 %, offering valuable scientific insights and targeted policy recommendations for the conservation and sustainable management of coastal wetland ecosystems in the BER.

海岸带湿地生态系统是海岸带经济可持续发展的关键。虽然之前的研究已经在多个时空尺度上探索了湿地与人类活动之间的相互作用，但目前的生态系统服务（ES）评估主要依赖于现有的土地覆盖数据产品，其空间精度仅为80%，不足以捕获精细尺度的ES空间变化。这一限制阻碍了湿地环境科学中复杂关系的准确表征，并制约了后续保护和管理决策的可靠性。为了解决这一关键差距，本研究旨在通过综合技术方法将沿海湿地圈定和ES量化的准确性提高到≥90%。本文以气候变化与人类活动相互作用强烈的环渤海经济圈为研究对象，对海岸带湿地碳储量、生境质量、土壤保持和产水量4种关键ES类型进行了高精度制图和量化。通过将谷歌Earth Engine （GEE）平台上的知识规则与机器学习算法相结合，确定了ES的空间热点和冷点，分析了4个ES之间的权衡和协同关系，并利用随机森林模型评估了驱动因素（包括气候变量和人类活动指标）的相对重要性。结果表明，总ES指数在0.02 ~ 0.82之间（归一化为0-1），6对ES均呈显著正相关，表明协同效应强。随机森林模型表明，森林比例和降水是影响ES空间变化的前两大因素。该研究为复杂的滨海湿地系统提供了一个可扩展的高精度ES评估框架，其准确度从80%提高到93.76%，为BER滨海湿地生态系统的保护和可持续管理提供了有价值的科学见解和有针对性的政策建议。

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引用次数: 0

Machine learning and spatial regression approaches to estimating willingness to pay for ecosystem services in Jakarta and Taoyuan 利用机器学习和空间回归方法估算雅加达和桃园生态系统服务的支付意愿

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-21 DOI: 10.1016/j.ecoser.2026.101819

Shafira Wuryandani , Yu-Pin Lin , Pei-Chen Lin , Dirk S. Schmeller , Gerard H. Ros

Ecosystem services (ES) are essential to environmental sustainability and human well-being. Among them, hydrological ecosystem services (HES) play a critical role in flood mitigation, climate regulation, and water security. This study examines the socioeconomic drivers influencing individuals’ willingness to pay (WTP) for HES in two contrasting urban settings: Jakarta in Indonesia and Taoyuan in Taiwan. We applied and compared three data-driven models (i.e., Logistic Regression, Geographically Weighted Logistic Regression, and Extreme Gradient Boosting) to assess both spatial and non-linear determinants of WTP. A total of 1006 respondents were surveyed using structured face-to-face interviews. Respondents were selected via purposive sampling to ensure representation of relevant sociodemographic and regional characteristics. Results show that WTP, expressed in 2024 USD per person per year, is lower in Jakarta (5.52 USD) compared to in Taoyuan (9.99 USD). Demographic and socio-economic variables, particularly gender and education, are key predictors of WTP, followed by support for environmental initiatives. The influence of these factors varies spatially, suggesting that effective ES protection policies should be tailored to local population characteristics. By integrating spatially explicit and data-driven approaches, Payment for Ecosystem Services (PES) policies can more effectively promote community participation and support sustainable ecosystem preservation, particularly for urban ES valuation across East and Southeast Asia.

生态系统服务对环境可持续性和人类福祉至关重要。其中，水文生态系统服务（HES）在防洪减灾、气候调节和水安全等方面发挥着重要作用。本研究以印尼雅加达和台湾桃园为研究对象，探讨影响个人医疗服务支付意愿的社会经济驱动因素。我们应用并比较了三种数据驱动模型（即逻辑回归、地理加权逻辑回归和极端梯度增强）来评估WTP的空间和非线性决定因素。采用结构化的面对面访谈对1006名受访者进行了调查。通过有目的的抽样选择受访者，以确保代表相关的社会人口和区域特征。结果显示，雅加达（5.52美元）低于桃园（9.99美元），人均年WTP以2024美元表示。人口和社会经济变量，特别是性别和教育，是WTP的主要预测因素，其次是对环境倡议的支持。这些因素的影响在空间上存在差异，表明有效的ES保护政策应根据当地人口特征进行调整。通过整合空间明确和数据驱动的方法，生态系统服务支付（PES）政策可以更有效地促进社区参与并支持可持续生态系统保护，特别是对于东亚和东南亚的城市ES评估。

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引用次数: 0

A global spatial meta-regression analysis of mangrove valuation studies 红树林价值研究的全球空间元回归分析

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-21 DOI: 10.1016/j.ecoser.2026.101815

Maria De Salvo , Laura Giuffrida , GIovanni Signorello , Luke M. Brander

Meta-regression analyses of environmental valuation studies often reveal spatial dependence, which must be addressed to properly explain and predict variation in valuation estimates. This paper develops meta-regression models that explicitly incorporate spatial dependence using a dataset of mangrove ecosystem service (ES) values, comprising 506 estimates from 106 primary studies extracted from the Ecosystem Services Valuation Database (ESVD).

We first estimate conventional aspatial models with explanatory variables accounting for multiple sources of heterogeneity and autocorrelation. Subsequently, we specify and estimate a series of spatial regression models that integrate spatial processes directly. Different spatial weighting matrices are tested, based on geographic distances and attribute-based similarity reflecting socioeconomic and biophysical characteristics of study sites. In addition, hybrid matrices are developed to combine these spatial dimensions and to relax the assumption that identical spatial processes affect all components of the model.

After selecting the best aspatial and spatial models, we evaluate their predictive performance using in-sample and out-of-sample validation. Results show that the random-effects model, which clusters observations by site, offers a theoretically sound framework that effectively captures latent spatial dependence. However, Moran’s I tests applied to OLS residuals reveal remaining spatial autocorrelation, indicating that explicit spatial modelling is still needed to uncover underlying spatial processes.

Among the alternative spatial specifications, the Spatial Autoregressive Combined (SAC) model performs best, as it allows distinct spatial processes to influence both the dependent variable and the error term, also through correlations captured by hybrid matrices. While spatial dependence does not substitute the explanatory contribution of site-level heterogeneity, it marginally improves out-of-sample predictive accuracy. This suggests that spatially explicit meta-regression models can yield more reliable and spatially consistent predictions for benefit-transfer applications.

环境评估研究的元回归分析经常揭示空间依赖性，必须解决这一问题，以适当解释和预测评估估计的变化。本文利用从生态系统服务价值数据库（ESVD）中提取的106项主要研究的506项估算数据，建立了明确纳入空间依赖性的红树林生态系统服务（ES）价值数据集的元回归模型。我们首先用解释变量来估计传统的空间模型，这些解释变量考虑了异质性和自相关性的多个来源。随后，我们指定和估计了一系列直接整合空间过程的空间回归模型。基于地理距离和反映研究地点社会经济和生物物理特征的属性相似性，测试了不同的空间加权矩阵。此外，开发了混合矩阵来组合这些空间维度，并放宽了相同空间过程影响模型所有组件的假设。在选择最佳的空间和空间模型后，我们使用样本内和样本外验证来评估它们的预测性能。结果表明，随机效应模型（按地点对观测结果进行聚类）提供了一个理论上合理的框架，可以有效地捕捉潜在的空间依赖性。然而，应用于OLS残差的Moran 's I检验揭示了剩余的空间自相关性，表明仍然需要明确的空间建模来揭示潜在的空间过程。在可选的空间规范中，空间自回归组合（SAC）模型表现最好，因为它允许不同的空间过程影响因变量和误差项，也通过混合矩阵捕获的相关性。虽然空间依赖性不能替代地点水平异质性的解释贡献，但它略微提高了样本外预测的准确性。这表明空间显式元回归模型可以为利益转移应用提供更可靠和空间一致的预测。

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引用次数: 0

Can protected area networks effectively conserve ecosystem services at the landscape scale? Evidence from Wuyishan Biodiversity Priority Conservation Area, China 保护区网络能否在景观尺度上有效地保护生态系统服务？武夷山生物多样性重点保护区的证据

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-19 DOI: 10.1016/j.ecoser.2026.101816

Tianqi Fu , Yue Cao , Siren Lan , Le Yu , Lingyun Liao

Effective protected area networks are essential for achieving global conservation targets. Previous studies have mainly examined conservation outcomes within protected areas and their spillover effects on buffer zones. However, the role of protected areas in conserving landscape-scale ecosystem services remains largely unclear. In this study, we assessed ecosystem services conservation outcomes within protected areas, buffer zones, and the broader landscape in a global biodiversity hotspot (the Wuyishan Biodiversity Priority Conservation Areas) by applying the propensity score matching methods. Using a 35-year dynamic mapping of ecosystem services, we identified ecosystem services priority zones and conservation gaps across different levels. Key findings include: (1) Ecosystem services conservation outcomes differed between protected areas and non-protected areas; (2) Protected areas indirectly enhanced ecosystem services conservation outcomes in adjacent non-protected areas, though this effect fluctuated over time; and (3) The current protected area network (covered 8.82 % of the study area) protected 34 % of ecosystem services priority zones. Our findings demonstrate the effectiveness of landscape-scale ecosystem service conservation and underscore the importance of integrating protected areas into wider landscapes to enhance socio-ecological resilience. The study directly informs the Kunming–Montreal Global Biodiversity Framework, particularly Target 3 on protected area effectiveness and landscape integration, and Target 11 on maintaining ecosystem services.

有效的保护区网络对于实现全球保护目标至关重要。以往的研究主要是考察保护区内的保护成果及其对缓冲区的溢出效应。然而，保护区在保护景观尺度生态系统服务方面的作用在很大程度上仍不清楚。本研究采用倾向得分匹配方法，对武夷山生物多样性优先保护区保护区、缓冲区和更广阔景观的生态系统服务保护效果进行了评价。利用35年的生态系统服务动态地图，我们确定了不同层次的生态系统服务优先区和保护缺口。主要发现包括：(1)保护区与非保护区生态系统服务保护效果存在差异；(2)保护区间接增强了邻近非保护区的生态系统服务保护效果，但这种效应随时间波动；(3)现有保护区网络（覆盖研究区域的8.82%）保护了34%的生态系统服务优先区。我们的研究结果证明了景观尺度生态系统服务保护的有效性，并强调了将保护区整合到更广泛的景观中以增强社会生态弹性的重要性。该研究直接影响了《昆明-蒙特利尔全球生物多样性框架》，特别是目标3（保护区有效性和景观整合）和目标11（维持生态系统服务）。

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引用次数: 0

Integrating ecosystem services supply and demand for extreme precipitation events: optimising gully watershed strategies 极端降水事件生态系统服务供需整合：沟壑区流域策略优化

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-14 DOI: 10.1016/j.ecoser.2026.101814

Zihan Xu , Ziliang Xi , Shouhong Zhang , Fan Zhang , Jiale Zhang

Extreme precipitation events pose grave threats to human security and sustainable development in gully watersheds. Ecosystem services such as flood mitigation and soil conservation are effective ways to alleviate disasters triggered by severe precipitation. However, current research on the linkage between ecosystem services and damage to Sustainable Development Goals (SDGs) progress during extreme precipitation events remains limited. This study evaluates the discrepancy between the supply and demand of flood mitigation and soil conservation. This information was integrated with expert knowledge to assess SDG progress damage in gully watersheds. We validated SDG progress damage assessment using field investigations and observational data, analysed spatial clustering of damage scores, and simulated damage changes under different soil and water conservation measures. Results showed that: (1) Soil conservation and flood mitigation supply was significantly lower than demand, with minimum supply–demand ratios of −1.11 (Wayao Gully and Xiaolongmen Gully) and −1.28 (Zhaitang Reservoir), respectively. (2) SDG progress damage exhibited spatial heterogeneity, with the most severely damaged zone having an SDG damage score below −0.92 across all goals, comprising 34% of the total gully watersheds. (3) Higher SDG progress damage correlated with weaker soil and water conservation measures in mitigating this damage. Soil and water conservation measures of slopes greater than 15° and within 210 m of the river bank were identified as optimal for coping with extreme precipitation events. This study proposed a novel approach to assess SDG progress damage based on ecosystem services supply and demand under extreme weather events, providing a valuable reference for climate change adaptation measures in gully watershed.

极端降水事件对流域人类安全和可持续发展构成严重威胁。减灾、水土保持等生态系统服务是缓解强降水灾害的有效途径。然而，目前关于极端降水事件中生态系统服务与可持续发展目标（sdg）进展之间联系的研究仍然有限。本研究评估了防洪与水土保持的供需差异。这些信息与专家知识相结合，以评估沟壑流域可持续发展目标进展的损害。利用实地调查和观测数据对SDG进度损害评估进行验证，分析损害评分的空间聚类，并模拟不同水土保持措施下的损害变化。结果表明：(1)水土保持和防洪供给显著低于需求，最小供需比分别为- 1.11（瓦窑沟和小龙门沟）和- 1.28（斋塘水库）；(2)流域可持续发展目标进展损害具有空间异质性，破坏最严重区域的SDG损害评分低于- 0.92，占流域总体的34%。(3)可持续发展目标进展损害越大，水土保持措施越弱。在极端降水条件下，选择坡度大于15°、距河岸210 m范围内的水土保持措施最为有效。本研究提出了一种基于极端天气事件下生态系统服务供给和需求的可持续发展目标进展损害评估新方法，为沟壑区流域气候变化适应措施提供有价值的参考。

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引用次数: 0

Brazil’s environmental rollback threatens global ecosystem services 巴西的环境倒退威胁到全球生态系统服务

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-06 DOI: 10.1016/j.ecoser.2026.101813

Jaqueiuto S. Jorge , Adriano Caliman

引用次数: 0

A scenario-based approach to valuation of the Erosion Prevention Service in the Himalayan region 基于情景的喜马拉雅地区水土流失防治服务评估方法

IF 6.6 2区环境科学与生态学 Q1 ECOLOGY

Ecosystem Services

Pub Date : 2026-01-02 DOI: 10.1016/j.ecoser.2025.101810

Rahul Yadav , Shachi Pandey , Tara Chand , Raman Nautiyal

Soil erosion poses a critical environmental challenge, particularly in mountainous regions like the Indian Himalayas, where steep slopes, intense rainfall, and fragile ecosystems, along with anthropogenic land use change, exacerbate erosion rates. This leads to increased sediment loads in rivers and reservoirs, adversely affecting agricultural yield, water resources, and ecosystem health. Erosion prevention, a crucial ecosystem service, is vital for mitigating these effects. The diverse forest cover of the Indian Himalayan region plays a key role in erosion prevention. This study focuses on quantifying the erosion prevention service using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Sediment Delivery Ratio (SDR) model in the Giri watershed in the Himalayan region. The SDR model was used in two scenarios: with forest (F₁) and without forest (F₀). The role of forests was identified based on forest cover density, categorised as very dense, moderately dense, and open forests. Results revealed that the avoided erosion under scenario F₁ is approximately 85% higher than under F₀. On the contrary, sediment export and deposition were higher in the F₀ scenario. The economic value of erosion prevention service in the Giri watershed is estimated at 1.22 billion US$ annually. The study concluded that forest cover plays a significant role in reducing sediment export and in supporting erosion prevention. The study also suggested that erosion prevention service is an important indicator for understanding the diverse and challenging ecosystem of the Himalayas.

土壤侵蚀构成了严峻的环境挑战，特别是在印度喜马拉雅山脉等山区，那里陡峭的山坡、强降雨和脆弱的生态系统，加上人为的土地利用变化，加剧了侵蚀率。这导致河流和水库泥沙负荷增加，对农业产量、水资源和生态系统健康产生不利影响。防止侵蚀是一项至关重要的生态系统服务，对减轻这些影响至关重要。印度喜马拉雅地区多样的森林覆盖在防止侵蚀方面起着关键作用。利用生态系统服务综合评价和投资输沙比（SDR）模型对喜马拉雅地区吉里流域的水土流失防治服务进行了量化研究。SDR模型在有森林（F1）和无森林（F0）两种情景下使用。森林的作用是根据森林覆盖密度确定的，分为非常密、中等密和开阔的森林。结果表明，F1情景下避免的侵蚀比F0情景下高85%左右。相反，F0情景的输沙量和泥沙淤积量较大。吉里流域防止侵蚀服务的经济价值估计为每年12.2亿美元。研究得出结论，森林覆盖在减少沉积物输出和支持侵蚀预防方面起着重要作用。研究还表明，防止侵蚀服务是了解喜马拉雅地区多样性和挑战性生态系统的重要指标。

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