Ecosystem service change caused by climatological and non‐climatological drivers: a Swiss case study

Braun, Daniela; Jong, Rogier de; Schaepman, Michael E.; Furrer, Reinhard; Hein, Lars; Kienast, Félix; Damm, Alexander

doi:10.1002/eap.1901

Cited by 43 publications

(15 citation statements)

References 44 publications

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“…Slope data are generated from elevation, and the influence of these geographic features on ESVs is also important [ 40 , 45 , 75 ]. The effects of temperature and precipitation on ESVs vary with geographic location [ 76 ]. In addition, population density and economic factors also have important effects on ESVs [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Ecosystem Service Values in the Dongting Lake Eco-Economic Zone and the Synergistic Impact of Its Driving Factors

Chen

Zhang

et al. 2022

IJERPH

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Ecosystem service values (ESVs) are crucial to ecological conservation and restoration, urban and rural planning, and sustainable development of land. Therefore, it is important to study ESVs and their driving factors in the Dongting Lake Eco-Economic Zone (Dongting Lake). This paper quantifies the changes in ESVs in the Dongting Lake using land use data from 2000, 2005, 2010 and 2018. The eXtreme Gradient Boosting (XGBoost) model is used to study the effects of individual driving factors and the synergistic effects of these driving factors on ESVs. Our analysis suggests that: (1) From 2000 to 2018, the largest dynamic degree values in the Dongting Lake are in unused land types, followed by construction lands and wetlands. The ESVs of the Dongting Lake show an increasing trend, with those of forestlands being the highest, accounting for approximately 44.65% of the total value. Among the ESVs functions, water containment, waste treatment, soil formation and protection, biodiversity conservation and climate regulation contribute the most to ESVs, with a combined contribution of 76.64% to 76.99%; (2) The integrated intensity of anthropogenic disturbance shows a U-shaped spatial distribution, decreasing from U1 to U3. The driving factors in descending order of importance are the human impact index, total primary productivity (GPP), slope, elevation, population, temperature, gross domestic product, precipitation and PM2.5; (3) When the GPP is low (GPP < 900), the SHAP (SHapley Additive exPlanation) value of the high human impact index is greater than zero, indicating that an increase in GPP increases the ESVs in the Dongting Lake. This study can provide technical support and a theoretical basis for ecological environmental protection and ecosystem management in the Dongting Lake.

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Section: Discussionmentioning

confidence: 99%

Ecosystem Service Values in the Dongting Lake Eco-Economic Zone and the Synergistic Impact of Its Driving Factors

Chen

Zhang

et al. 2022

IJERPH

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“…Water yield changes were mainly attributed to climate change, while soil retention was largely influenced by interactions. Recent studies noted that precipitation patterns directly determine water yield, especially in mountainous areas, where precipitation is the main recharge (Braun et al, 2019). For example, Yin et al (2022) found that water yield changes in North China were more sensitive to precipitation than temperature, and the changes demonstrated a trend consistent with the precipitation change from 1995 to 2015.…”

Section: Discussionmentioning

confidence: 99%

Impacts of Future Climate and Land Use/Cover Changes on Water-Related Ecosystem Services in Changbai Mountains, Northeast China

Wang

et al. 2022

Front. Ecol. Evol.

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Sustaining ecosystem services in alpine regions is a pressing global challenge given future accelerating environmental changes. Understanding how future climate change and land use/cover change (LUCC) drive ecosystem service will be important in this challenge. However, few studies have considered the combined effects of future climate change and LUCC on ecosystem services. We assessed water yield and soil retention services and their drivers in the Changbai mountains region (CBMR) from the 2020 to 2050s using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model and factor control experiments. Water yield decreased by 2.80% and soil retention increased by 6.14% over the 30 years. Climate change decreased water yield and increased soil retention, while LUCC decreased both water yield and soil retention. The interactive effects between climate change and LUCC had relatively small inhibitory effects on water yield and large facilitation effects on soil retention. Changes in water yield were mainly attributed to climate change, while soil retention was largely influenced by interaction. Our study highlights the individual and interactive contributions of future climate change and land use to ecosystem service in the mountains region, which can provide important information for informed future land management and policy making for sustaining diverse ecosystem services.

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“…Natural factors, such as elevation (ELEV), slope (SLOPE), precipitation (PRE), and temperature (TEM), directly affect the formation and spatial distribution of ESs by altering the regional material cycle and energy flow (Blake et al, 2021). Climate drivers such as TEM, PRE and relative sunshine duration strongly influence ecosystem service trends in Switzerland (Braun et al, 2019). The influence of each factor on different types of ESs varies in China and the Jiangsu coastal areas.…”

Section: Introductionmentioning

confidence: 99%

Multiscale effects and drivers of landscape heterogeneity for water‐related ecosystem services in urban agglomerations

Huang,

Chen,

et al. 2024

Hydrological Processes

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Understanding the multiscale impacts and drivers of urban agglomeration landscape patterns for ecosystem services (ESs), especially water‐related ecosystem services (WESs), is essential for the development of regional ecological management. However, the multiscale impacts and driving mechanisms of urban agglomeration landscape patterns for ESs have not been adequately explained. In this study, multivariate data were employed, and the InVEST model, trend test method, coupled GeoDetector and geographically and temporally weighted regression (GTWR) method were utilized to comprehensively explore the spatial and temporal changes in landscape patterns and WESs in the Pearl River Delta urban agglomeration (PRDUA) at various grid and administrative scales from 1990 to 2020 and to determine the driving mechanisms affecting WESs. The results indicated that the variation characteristics of landscape patterns and WESs in the PRDUA were consistent, forming a binary spatial structure of core and peripheral areas in an inverted “U” shape around the estuary of the Pearl River. The relationship between landscape patterns and WESs weakened with the increase of scale, and the correlation coefficient decreased by approximately 0.10 from 5 km to 10 km grid scale. Additionally, precipitation (PRE) was the main factor controlling WESs changes in the PRDUA, explaining more than 50% of the changes in WESs, and the regression coefficients ranged from 0.0825 to 0.1584. Changes in WESs were the result of the combined effects of natural factors, including PRE, landscape pattern, elevation, slope, and socioeconomic factors, such as population and gross domestic product (GDP). Overall, these findings could contribute to optimizing regional landscape patterns and fostering sustainable development of the ecological environment in urban agglomerations.

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Ecosystem service change caused by climatological and non‐climatological drivers: a Swiss case study

Cited by 43 publications

References 44 publications

Ecosystem Service Values in the Dongting Lake Eco-Economic Zone and the Synergistic Impact of Its Driving Factors

Ecosystem Service Values in the Dongting Lake Eco-Economic Zone and the Synergistic Impact of Its Driving Factors

Impacts of Future Climate and Land Use/Cover Changes on Water-Related Ecosystem Services in Changbai Mountains, Northeast China

Multiscale effects and drivers of landscape heterogeneity for water‐related ecosystem services in urban agglomerations

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