Spatial heterogeneity and management challenges of ecosystem service trade-offs: a case study in Guangdong Province, China

Wu, Wenkun; Zeng, Huixian; Guo, Chao; You, Wanxue; Hui, Xu; Duan, Ke; Wang, Min; Liu, Xiaodong

doi:10.1007/s00267-023-01851-8

Cited by 7 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This article selected the land use types with the largest amount of land use expansion in five national parks to detect the driving forces of their changes and conducted a driving ranking study based on the LEAS module of the Plus model. The driving factors of land change were mainly based on previous studies, and relevant analysis was carried out with socio-economic, physical geography, and other factors, including population density (POP), GDP, DEM, slope, annual average precipitation (PRE), annual average temperature (TEM), soil type, distance from the water system, distance from the railroad, distance from the highway, and distance from a government site [59,60].…”

Section: Analysis Of Land Use Expansion Driversmentioning

confidence: 99%

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

Wang

Song

Shi

et al. 2023

Land

View full text Add to dashboard Cite

The official establishment of China’s national parks marks a new stage in the construction of China’s ecological civilization system. National parks systematically protect the areas with the richest biodiversity and the most complete ecosystem processes in China. This is beneficial not only for China’s natural conservation work, but also for the world’s response to environmental issues, such as climate change. Based on remote sensing images of land use in the four periods 1990, 2000, 2010, and 2020, this study calculated the land use changes in each national park during the corresponding period. Using the Plus model LEAS module, the driving factors of land use change in the national parks were studied and explored. In addition, the study used the InVEST model carbon storage module, using remote sensing images from different periods and the corresponding carbon pools of each national park as the basic data for model operation, to obtain the carbon storage changes in each national park over the past 30 years. Based on the hotspot analysis function, the hotspot areas of carbon storage changes in the national parks in the past 30 years were determined. Consequently, based on the CARS module of the PLUS model, the carbon storage in Northeast Tiger and Leopard National Park in 2030 was estimated under different scenarios. Research suggested that, except for Sanjiangyuan National Park where grassland is the main land use type, the other four national parks are all dominated by forests, and the expansion and changes in the main land use types were due to human activities. In the past 30 years, the carbon storage in China’s national park ecosystem has mainly shown a trend of first increasing and then gradually decreasing. Based on the changes in carbon storage in the national park, restoration scenarios were simulated for the core protected and generally controlled areas of Northeast Tiger and Leopard National Park. Under the ideal scenario, the highest value of carbon storage would be achieved by 2030, which would be 7,468,250 t higher than that in 2020. The present study provides a reference for the regional management of China’s national parks and further confirms that the implementation of the national park system can enhance China’s ability to achieve carbon peaking and neutrality goals.

show abstract

Section: Analysis Of Land Use Expansion Driversmentioning

confidence: 99%

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

Wang

Song

Shi

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…The United Nations Millennium Ecosystem Assessment [ 22 ] program defined the categorization of ESs, which includes supplying, sustaining, regulating, and cultural services. This program redirected the focus of ESs research toward understanding processes, trade-offs, and synergies [ 23 – 25 ], as well as their connections to human well-being and sustainable development.…”

Section: Introductionmentioning

confidence: 99%

The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model

Li,

Wu,

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Land Use/Land Cover (LULC) is one of the most significant human variables influencing the efficiency of Ecosystem Services (ESs) in terrestrial ecosystems. Theoretical and technical assistance for regional sustainable land use planning and management, as well as ecosystem conservation and restoration, is provided by investigating the influence of changes in the LULC pattern on the efficiency of ESs. This research focuses on the interactions between socioeconomic activities and natural ecological processes in the Three Gorges Reservoir Area (TGRA). We use LULC data from the TGRA for the years 1990, 2000, 2010, and 2020. The study includes the analysis and calculation of the spatiotemporal evolution features of the current LULC pattern and the efficiency of ESs, including their spatiotemporal distribution. Considering the TGRA’s national development orientation and guidance, three potential LULC patterns are constructed under various develop-ment scenarios. To calculate the efficiency of ESs, the GeoSOS-FLUS future LULC simulation model is linked, and several methodologies such as INVEST, RUSLE, and CASA are used. The goal is to investigate the influence of future changes in LULC patterns on ESs efficiency. The findings show the following: (1) From 1990 to 2020, the values of water conservation services in the TGRA decreased and subsequently increased. High-value areas are primarily located in the reservoir’s centre and eastern sections, whereas low-value areas are mostly found in the western section. Soil conservation service values initially declined and later climbed. The TGRA’s carbon storage services have in-creased yearly, from 552.64 g/m2 in 2000 to 615.92 g/m2 in 2020. (2) In the ecological protection scenario, carbon storage and soil erosion increased compared to the ecosystem services in 2020. The ecological system service benefits are greater when compared to the natural development scenario. (3) The four ESs show positive spatial correlations across all three scenarios, and local spatial au-tocorrelation analysis findings demonstrate that carbon storage, water yield, and habitat quality have comparable spatial distributions across all three scenarios. To some extent, high-value areas for water conservation, soil retention, carbon storage, and habitat quality overlap.

show abstract

“…Aryal et al [26] considered the case of multifunctional landscape in the Hindu Kush Himalayan region, and Garrett Mean Scores (GMS), ordinal logistic regression estimates, and Chi-square tests were used to assess quantitative data. Wu et al [27] applied the root mean square error (RMSE) method to identify the relationships between ESs. These scholars analyzed the tradeoff/synergy relationships through traditional statistical methods, scenario analysis method, and model simulation, though these methods cannot spatially express the trade-off/synergy relationship; thus, this paper used the Tradeoff/Synergy Criterion (TSC) to depict the tradeoff/synergy relationships within the watershed, while TSC depicted the relationship between ESs in spatial terms, which helped us to better understand them.…”

Section: Introductionmentioning

confidence: 99%

Change and Tradeoff/Synergy Analysis of Watershed Ecosystem Services: A Case Study of Qinghai Lake Basin

Wu,

Zhang,

Gao

et al. 2023

Sustainability

View full text Add to dashboard Cite

Understanding the tradeoffs/synergies between ecosystems is crucial to effective watershed ecosystem management and sustainable development. In this study, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and Carnegie Ames Stanford Approach (CASA) models were utilized to estimate four ecosystem services (ESs), including water conservation capacity, soil retention, habitat quality, and carbon storage services, in Qinghai Lake Basin between 2000 and 2018. Local Indicators of Spatial Association (LISA) and tradeoffs/synergies criterion (TSC) were used to reveal the relationships between the ESs. The results show that the water conservation capacity, soil retention, habitat quality, and carbon storage service in Qinghai Lake Basin all increased between 2000 and 2018. TSC and LISA revealed that carbon storage and habitat quality, habitat quality and water conservation capacity, and carbon storage and soil retention had the same relationship, as did habitat quality and soil retention. In addition, LISA showed that the relationships between ESs are mainly based on high high clusters that concentrate in the middle of the basin. The analysis also revealed obvious spatial heterogeneity. This study aims to compensate the research deficiencies that affected previous studies of the Qinghai Lake Basin and provide a point of reference for the sustainable development of the basin.

show abstract

Spatial heterogeneity and management challenges of ecosystem service trade-offs: a case study in Guangdong Province, China

Cited by 7 publications

References 42 publications

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

China’s National Park Construction Contributes to Carbon Peaking and Neutrality Goals

The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model

Change and Tradeoff/Synergy Analysis of Watershed Ecosystem Services: A Case Study of Qinghai Lake Basin

Contact Info

Product

Resources

About