1
|
Das S, Jain MK, Gupta V, McGehee RP, Yin S, de Mello CR, Azari M, Borrelli P, Panagos P. GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. Sci Data 2024; 11:926. [PMID: 39191770 DOI: 10.1038/s41597-024-03756-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 08/07/2024] [Indexed: 08/29/2024] Open
Abstract
Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate and reliable rainfall erosivity data. However, the scarcity of gauge rainfall records and the inherent uncertainty in satellite and reanalysis-based rainfall datasets limit rainfall erosivity assessment globally. Here, we present a new global rainfall erosivity dataset (0.1° × 0.1° spatial resolution) integrating satellite (CMORPH and IMERG) and reanalysis (ERA5-Land) derived rainfall erosivity estimates with gauge rainfall erosivity observations collected from approximately 6,200 locations across the globe. We used a machine learning-based Gaussian Process Regression (GPR) model to assimilate multi-source rainfall erosivity estimates alongside geoclimatic covariates to prepare a unified high-resolution mean annual rainfall erosivity product. It has been shown that the proposed rainfall erosivity product performs well during cross-validation with gauge records and inter-comparison with the existing global rainfall erosivity datasets. Furthermore, this dataset offers a new global rainfall erosivity perspective, addressing the limitations of existing datasets and facilitating large-scale hydrological modelling and soil erosion assessments.
Collapse
Affiliation(s)
- Subhankar Das
- Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India
| | - Manoj Kumar Jain
- Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India.
| | - Vivek Gupta
- School of Civil and Environmental Engineering, Indian Institute of Technology Mandi, Mandi, India
| | - Ryan P McGehee
- Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA
| | - Shuiqing Yin
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | | | - Mahmood Azari
- Department of Range and Watershed Management, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Pasquale Borrelli
- Department of Science, Roma Tre University, Rome, Italy
- Department of Environmental Sciences, Environmental Geosciences, University of Basel, Basel, Switzerland
| | - Panos Panagos
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| |
Collapse
|
2
|
Jiang W, Fu B, Shu Z, Lv Y, Gao G, Feng X, Schüler S, Wu X, Wang C. Spatiotemporal drivers of Nature's contributions to people: A county-level study. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2024; 20:100430. [PMID: 38845781 PMCID: PMC11153088 DOI: 10.1016/j.ese.2024.100430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 06/09/2024]
Abstract
Nature's contributions to people (NCP) encompass both the beneficial and detrimental effects of living nature on human quality of life, including regulatory, material, and non-material contributions. Globally, vital NCPs have been deteriorating, accelerated by changes in both natural and anthropogenic drivers over recent decades. Despite the often inevitable trade-offs between NCPs due to their spatially and temporally uneven distributions, few studies have quantitatively assessed the impacts of different drivers on the spatial and temporal changes in multiple NCPs and their interrelationships. Here we evaluate the effects of precipitation, temperature, population, gross domestic product, vegetation restoration, and urban expansion on four key regulatory NCPs-habitat maintenance, climate regulation, water quantity regulation, and soil protection-in Nei Mongol at the county level. We observe increasing trends in climate regulation and soil protection from 2000 to 2019, contrasted with declining trends in habitat maintenance and water quantity regulation. We have identified the dominant positive and negative drivers influencing each NCP across individual counties, finding that natural drivers predominantly overpowered anthropogenic drivers. Furthermore, we discover significant spatial disparities in the trade-off or synergy relationships between NCPs across the counties. Our findings illustrate how the impacts of various drivers on NCPs and their interrelationships can be quantitatively evaluated, offering significant potential for application in various spatial scales. With an understanding of trade-offs and scale effects, these insights are expected to support and inform policymaking at both county and provincial levels.
Collapse
Affiliation(s)
- Wei Jiang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Zhongguo Shu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Yihe Lv
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Guangyao Gao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Xiaoming Feng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Stefan Schüler
- Functional Agrobiodiversity, Georg-August-Universität Göttingen, Grisebachstraße 6, 37077, Göttingen, Germany
| | - Xing Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| | - Cong Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Road, 100085, Beijing, China
| |
Collapse
|
3
|
Ma S, Deng G, Wang LJ, Hu H, Fang X, Jiang J. Telecoupling between urban expansion and forest ecosystem service loss through cultivated land displacement: A case study of Zhejiang Province, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 357:120695. [PMID: 38552521 DOI: 10.1016/j.jenvman.2024.120695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/13/2024] [Accepted: 03/17/2024] [Indexed: 04/14/2024]
Abstract
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.
Collapse
Affiliation(s)
- Shuai Ma
- Co-Innovation Center of Sustainable Forestry in Southern China, Jiangsu Provincial Key Lab of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing, 210037, China.
| | - Guangyi Deng
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Key Laboratory for Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, 130024, China
| | - Liang-Jie Wang
- Co-Innovation Center of Sustainable Forestry in Southern China, Jiangsu Provincial Key Lab of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing, 210037, China.
| | - Haibo Hu
- Co-Innovation Center of Sustainable Forestry in Southern China, Jiangsu Provincial Key Lab of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing, 210037, China
| | - Xianghua Fang
- Lishui Vocational and Technical College, Lishui, 323000, China
| | - Jiang Jiang
- Co-Innovation Center of Sustainable Forestry in Southern China, Jiangsu Provincial Key Lab of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing, 210037, China
| |
Collapse
|
4
|
Zhang S, Xiong K, Min X, Zhang S. Demographic shrinkage promotes ecosystem services supply capacity in the karst desertification control. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170427. [PMID: 38281637 DOI: 10.1016/j.scitotenv.2024.170427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 01/30/2024]
Abstract
Although ecological services have been improved in karst desertification control areas, it is still unclear how population shrinkage affects ecosystem service supply capability through ecological assets. In this study, Theil-Sen median, regression analysis, and variance partitioning were applied to explore the linkages of population change (observed data and shared socioeconomic pathways 1-representative concentration pathways 2.6), ecological asset composition (land use), quality (Normalized difference vegetation index [NDVI] and tree height), and ecosystem services in different periods (population growth and decline periods). The results showed that the population change during the growth period (2000-2038) was dominated by migration patterns. In degraded ecoregions (karst desertification) dominated by population out-migration, the net expansion of forest was 15.88 % during 2000-2020, NDVI and tree height increased by 0.57 % and 54.96 %, and ecosystem service supply capability increased by 2.68 %. In contrast, in non-degraded ecoregions (non-karst and karst non-desertification) with population in-migration, change rates of forest (-5.40 % and - 23.68 %), NDVI (0.49 % and 0.53 %), tree height (-8.35 % and - 31.25 %), and ecosystem service supply capability (2.04 % and 2.18 %) were apparently lower than degraded ecoregions. During the population decline period (2039-2100), although the migration pattern between two regions during the growth period was replaced by a population drop within a single region, the positive correlation between population shrinkage with ecological assets and service supply capability was still followed. Overall, the study found that both ways of population shrinkage that involve out-migration and decline can alleviate the land pressure of degraded ecoregions, which enhances ecosystem service supply capability by regulating ecological assets.
Collapse
Affiliation(s)
- Shihao Zhang
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, People's Republic of China
| | - Kangning Xiong
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, People's Republic of China.
| | - Xiaoying Min
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, People's Republic of China
| | - Song Zhang
- School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, People's Republic of China
| |
Collapse
|
5
|
Yang D, Zhu C, Li J, Li Y, Zhang X, Yang C, Chu S. Exploring the supply and demand imbalance of carbon and carbon-related ecosystem services for dual‑carbon goal ecological management in the Huaihe River Ecological Economic Belt. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169169. [PMID: 38072260 DOI: 10.1016/j.scitotenv.2023.169169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 01/18/2024]
Abstract
The measurement of carbon and carbon-related ecosystem services (CCESs) has garnered considerable global attention, primarily due to dual‑carbon goals, which are crucial for the rational allocating of ecosystem service (ES) resources and the enhancement of terrestrial carbon sinks. This study developed a novel research framework on CCESs to quantitatively measure carbon storage (CS), food production (FS), habitat quality (HQ), soil conservation (SC), and water yield (WY), and examined the spatiotemporal patterns of the supply-demand and trade-off/synergy processes related to CCESs in the Huaihe River Ecological Economic Belt (HREEB). The findings are as follows: (1) From 2000 to 2020, the supply-demand of the CCESs generally increased, except for carbon storage and food demand. Overall, the supply level of the CCESs exceeds the demand level, with a median ratio of supply and demand ratio (ESDR) of 1.13. (2) During the study period, the synergy relationship of the CCESs is mainly determined by the supply side of the CS-HQ and CS-SC, while on the demand side, it is determined by the CD- FD. And the ESDR of all C-related ecosystem services showed a significant synergy strengthening with CS in the HREEB. (3) Spatially, "high-low" spatial matching of the ESDR decreased, suggesting a gradual reduction in the spatial mismatch of CCESs. (4) We identified seven ecological functional zones and proposed corresponding strategies for promoting ecological management. Our research emphasized the spatiotemporal patterns of supply and demand imbalance in CCESs and the spatial optimization paths of trade-offs/synergies, providing valuable insights for achieving regional dual‑carbon goals.
Collapse
Affiliation(s)
- Dehu Yang
- School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
| | - Changming Zhu
- School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
| | - Jianguo Li
- School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
| | - Yating Li
- School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
| | - Xin Zhang
- State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China
| | - Cunjian Yang
- Key Laboratory of Land Resources Evolution and Monitoring in Southwest (Sichuan Normal University), Ministry of Education, Chengdu 610068, China
| | - Shuai Chu
- School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
| |
Collapse
|
6
|
Ma Z, Gong J, Hu C, Lei J. An integrated approach to assess spatial and temporal changes in the contribution of the ecosystem to sustainable development goals over 20 years in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166237. [PMID: 37574068 DOI: 10.1016/j.scitotenv.2023.166237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/15/2023]
Abstract
Ecosystems are an important basis for promoting sustainable development goals (SDGs) through the provision of stable ecosystem services (ESs). In the past 20 years, China has implemented a series of forestry ecological development projects, resulting in the improvement of the ecological environment. In this context, changes in ESs in China may affect the contribution of ecosystems to the SDGs, but there is a lack of research in this area. Studies have shown that ESs can support multiple SDGs, and quantifying the contribution of ecosystems to SDGs is currently a research focus. However, few studies have quantified the extent of the contribution of different ESs to the SDGs, although these differences are generally assumed. To narrow this knowledge gap, we construct an assessment approach that integrates the extent of the contribution of different ESs to the SDGs and assesses the temporal and spatial dynamics of the contribution of ESs to the SDGs in China from 2000 to 2020. Our analysis results indicate that during the study period, fractional vegetation cover improved in China. In general, water provision, soil conservation, and food provision services improved, while carbon storage and biodiversity maintenance services declined. The contribution capacity of provincial ecosystems to the SDGs increased, except in Tibet, between 2000 and 2020. Overall, the contributions to the SDGs had obvious spatial differences. The research results can support policy formulation and research on ES management and SDGs.
Collapse
Affiliation(s)
- Zhiyuan Ma
- Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Forest Silviculture of the State Forestry and Grassland Administration, Beijing 100091, China
| | - Jinyu Gong
- Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Forest Silviculture of the State Forestry and Grassland Administration, Beijing 100091, China
| | - Chen Hu
- Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Forest Silviculture of the State Forestry and Grassland Administration, Beijing 100091, China
| | - Jingpin Lei
- Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Forest Silviculture of the State Forestry and Grassland Administration, Beijing 100091, China; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, Jiangsu, China.
| |
Collapse
|