Your search found 5 records
1 Liang, Y.; Kang, S.; Zhang, C.. 2002. The effects of soil moisture and nutrients on cropland productivity in the highland area of the Loess Plateau. In McVicar, T. R.; Rui, L.; Walker, J.; Fitzpatrick, R. W.; Changming, L. (Eds.), Regional water and soil assessment for managing sustainable agriculture in China and Australia. Canberra, Australia: ACIAR. pp.187-194.
Soil moisture ; Crop production ; Productivity ; Water stress ; Water use efficiency ; Ecosystems ; Soil fertility ; Irrigation efficiency / China / Loess Plateau
(Location: IWMI-HQ Call no: 631.7.1 G592 MCV Record No: H033000)
2 Zhang, C.; Fang, Y. 2020. Application of capital-based approach in the measurement of livelihood sustainability: a case study from the Koshi River basin community in Nepal. Ecological Indicators, 116:106474. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2020.106474]
Sustainable development ; Sustainable livelihoods ; Community involvement ; Climate change ; Infrastructure ; Indicators ; Precipitation ; Economic aspects ; Human capital ; Natural capital ; Social capital ; Natural disasters ; Socioeconomic aspects ; Case studies / Nepal / Koshi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049827)
(5.26 MB)
Climate change is classified as a global scale issue, since it impacts numerous and varied regions worldwide without regard for anthropogenic or natural geographic borders. However, household livelihood vulnerability and sustainability are influenced by various factors that differ between countries, districts, and communities. The Hindu Kush Himalayan region has been severely affected, as climate change has profoundly impacted the native people’s livelihood, habitation, and physical infrastructure. In order to develop appropriate and effective adaptation strategies, it is necessary to understand the current livelihoods status of local households, to identify underlying factors that affect their livelihood, and to access vulnerability and livelihood sustainability. In this study, researchers collected data by surveying 130 households from the Koshi River basin (KRB) of Nepal. The study was conducted in three different districts, representing various ecological regions within the KRB, including: the Kavre district in the Mid-mountain area, the Sindhuli district in Siwalik Hill, and the Saptari district in the Terai Plains. While the different districts are susceptible to diverse types of climate-induced disasters, all three study areas have suffered huge economic losses in response to climate change.
Quantitative assessment of capital-based vulnerability in the rural villages was carried out based on the three dimensions of vulnerability specified by the Sustainable Livelihoods Approach (SLA) and Intergovernmental Panel on Climate Change (IPCC): exposure, sensitivity, and adaptive capacity. The Livelihood Vulnerability Index (LVI) and Sustainable Livelihood Index (SLI) was used to assess these three dimensions of vulnerability and sustainability and incorporated a wide range of socio-economic variables that represent human, physical, natural, financial, and social capitals. 45 sub-component indicators were selected to evaluate the five major capitals and ultimately reflect the three vulnerability dimensions. The results suggest that: 1) Kavre households have higher human capital vulnerability; 2) the Saptari district may be more vulnerable to natural and physical capital, and 3) the Sindhuli district is more vulnerable to financial and social capital. Investigation into the specific impacts of climate change on rural livelihoods in different environments enhances our understanding of the resulting environmental and socioeconomic changes. Furthermore, it helps identify the specific vulnerabilities pertaining to susceptible communities at a micro level and aids governments and scientists in developing targeted, customized, adaptive strategies to address infrastructure construction, education, public health services, skills training, establishment of early warning systems, and community-based risk reduction schemes, as needed.
Quantitative assessment of capital-based vulnerability in the rural villages was carried out based on the three dimensions of vulnerability specified by the Sustainable Livelihoods Approach (SLA) and Intergovernmental Panel on Climate Change (IPCC): exposure, sensitivity, and adaptive capacity. The Livelihood Vulnerability Index (LVI) and Sustainable Livelihood Index (SLI) was used to assess these three dimensions of vulnerability and sustainability and incorporated a wide range of socio-economic variables that represent human, physical, natural, financial, and social capitals. 45 sub-component indicators were selected to evaluate the five major capitals and ultimately reflect the three vulnerability dimensions. The results suggest that: 1) Kavre households have higher human capital vulnerability; 2) the Saptari district may be more vulnerable to natural and physical capital, and 3) the Sindhuli district is more vulnerable to financial and social capital. Investigation into the specific impacts of climate change on rural livelihoods in different environments enhances our understanding of the resulting environmental and socioeconomic changes. Furthermore, it helps identify the specific vulnerabilities pertaining to susceptible communities at a micro level and aids governments and scientists in developing targeted, customized, adaptive strategies to address infrastructure construction, education, public health services, skills training, establishment of early warning systems, and community-based risk reduction schemes, as needed.
3 Li, C.; Gan, Y.; Zhang, C.; He, H.; Fang, J.; Wang, L.; Wang, Y.; Liu, J. 2021. "Microplastic communities" in different environments: differences, links, and role of diversity index in source analysis. Water Research, 188:116574. [doi: https://doi.org/10.1016/j.watres.2020.116574]
Microplastics ; Communities ; Freshwater ecosystems ; Marine environment ; Sea water ; Sediment ; Soil pollution ; Water pollution ; Polymers ; Risk assessment / China
(Location: IWMI HQ Call no: e-copy only Record No: H050135)
(2.95 MB)
Microplastics have been detected in various environments, yet the differences between microplastics in different environments are still largely unknown. Scientists have proposed the concept of the “microplastic cycle,” but the evidence for the movement of microplastics between different environments is still scarce. By screening the literature and extracting information, we obtained microplastic data from 709 sampling sites in freshwater, seawater, freshwater sediment, sea sediment, and soil in China. Based on the similarity between microplastics and biological communities, here we propose the concept of a “microplastic community” and examine the differences, links, and diversity of microplastic communities in different environments. Wilcoxon sign-ranks test, Kruskal-Wallis test, and analysis of similarities (ANOSIM) showed that there were significant differences in abundance, proportion of small microplastics, and community composition (shape, color, and polymer types) of microplastics in different environments. The Mantel test showed that there were significant correlations between microplastic community composition in different environments. Network analysis based on community similarity further confirmed the links between microplastic communities. The distance decay models revealed that the links weakened with the increase of geographic distance, suggesting that sampling sites with closed geographical locations had similar pollution sources and more easily to migrate or exchange microplastics. The microplastic diversity integrated index (MDII) was established based on the diversity of microplastic shape, color, and polymer types, and its indication of the number of microplastic pollution sources was verified by the statistical fitting relationship between the number of industrial pollution sources and MDII. Our study provides new insight into the differences and links between microplastics in different environments, which contributes to the microplastic risk assessment and demonstrates the “microplastic cycle.” The establishment of the microplastic diversity integrated index could be used in source analysis of microplastics.
4 Li, K.; Zhang, H.; Li, X.; Wang, C.; Zhang, J.; Jiang, R.; Feng, G.; Liu, X.; Zuo, Y.; Yuan, H.; Zhang, C.; Gai, J.; Tian, J. 2021. Field management practices drive ecosystem multifunctionality in a smallholder-dominated agricultural system. Agriculture, Ecosystems and Environment, 313:107389. (Online first) [doi: https://doi.org/10.1016/j.agee.2021.107389]
Farming systems ; Smallholders ; Ecosystem services ; Agroecosystems ; Management techniques ; Farmland ; Soil microorganisms ; Agrochemicals ; Fertilizers ; Households ; Farm income ; Farmers ; Socioeconomic aspects / China / Hebei / Quzhou
(Location: IWMI HQ Call no: e-copy only Record No: H050334)
(6.12 MB)
Agroecosystems provide multiple goods and services that are important for human welfare. Despite the importance of field management practices for agroecosystem service delivery, the links of socioeconomic factors, management practices and ecosystem multifunctionality have rarely been explicitly evaluated in agroecosystems. Here we used a county-scale database with 100 farmer households and their farmlands, and analyzed the relative importance of management practices, soil abiotic environment and soil biota on multifunctionality under three distinct (‘smallholder’s viewpoint’, ‘sustainable soils’ and ‘equal weight’) scenarios. Furthermore, we also analyzed the effect of smallholders’ socioeconomic factors on management practices. Our results found that smallholders’ high inputs of fertilizers and agrochemicals were associated with their high agricultural income and less farmland area, but total land area had a positive effect on straw incorporation. Total soil biota index was positively related to multifunctionality, however, management practices (fertilizer input, agrochemical input, organic fertilizer amount and straw incorporation) had stronger effect on multifunctionality than that of soil biota or the abiotic environment. Their strength varied with distinct scenarios. Our work suggests that increasing organic materials (organic fertilizers and crop residues) and decreasing agrochemicals are beneficial for maintaining or increasing ecosystem multifunctionality in smallholder-dominated agroecosystems. Moreover, improving management practices of smallholders needs to take into account the effects of their socioeconomic factors.
5 Xu, J.; Xiao, Y.; Xie, G.; Liu, J.; Qin, K.; Wang, Y.; Zhang, C.; Lei, G. 2021. How to coordinate cross-regional water resource relationship by integrating water supply services flow and interregional ecological compensation. Ecological Indicators, 126:107595. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2021.107595]
Water resources ; Water supply ; Water demand ; Ecosystem services ; Ecological factors ; Compensation ; Policies ; River basins ; Water use ; Socioeconomic aspects / China / Ningxia / Yellow River Basin / Hexi Inland River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050386)
https://www.sciencedirect.com/science/article/pii/S1470160X21002600/pdfft?md5=16b552b364ddaf44a1064979487a2ea0&pid=1-s2.0-S1470160X21002600-main.pdf
https://vlibrary.iwmi.org/pdf/H050386.pdf
https://vlibrary.iwmi.org/pdf/H050386.pdf
(18.80 MB) (18.8 MB)
Ecosystem service (ES) flow reveals the transregional benefits transferred from service supply areas (SSAs) to service benefiting areas (SBAs), which correspond to the sellers and buyers of interregional ecological compensation, respectively. However, current ecological compensation policies usually ignore this close connection. This study took the water supply services (WSSs) with the most obvious flow characteristics as an example and established a universal framework for interregional ecological compensation by combining WSSs flow simulation and regional disparity. The simulation process was programmed with Interactive Data Language (IDL) and analyzed with ArcGIS. Most regions serve as a dual role in the WSSs flow process, the water suppliers and users are relative and scale-dependent. Taking Ningxia as an example, As water benefiting areas (WBAs)/buyers, the total material inflow to Ningxia was 135.86 × 108 ~ 294.22 × 108 m3 from 2000 to 2015 and the value inflow ranged from 1077.39 × 108 ~ 2333.16 × 108 CNY, requiring 101.64 × 108 ~ 293.51 × 108 CNY ecological compensation paid by Ningxia. As water supply areas (WSAs)/sellers, the total material outflow from Ningxia was 72.83 × 108 ~ 200.46 × 108 m3 from 2000 to 2015, and the value outflow was between 577.54 × 108 CNY and 1589.65 × 108 CNY, requiring 63.80 × 108 ~ 112.34 × 108 CNY of ecological compensation to be paid by the downstream basins, especially the Shizuishan – Hekou Town subbasin. Overall, Ningxia was a beneficiary area of WSSs flow and the payers of interregional ecological compensation, with a net payment amount of 37.84 × 108 ~ 181.16 × 108 CNY. This study provides a direct spatial-visualized reference to water resource management for policy-makers and promotes the integration of ES flow and interregional ecological compensation. Furthermore, it can improve the public recognition of interregional ecological compensation with the spatial mapping of the levy and allocation and conducive to the sustainable provisioning of ESs ultimately.
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