Your search found 6 records
1 Chu, X.; Mari±o, M. A.; Shao, J.; Xu, J.. 2001. Conjunctive water resource supply-demand management model of Baotou City, China. In Mariño, M. A.; Simonovic, S. P. (Eds.), Integrated water resources management. Wallingford, UK: IAHS. pp.159-166.
Water resource management ; Planning ; Water demand ; Water supply ; Groundwater ; Surface water ; Conjunctive use ; Simulation models ; Linear programming ; Irrigation water ; Soil salinity ; Aquifers / China / Baotou City / Yellow River
(Location: IWMI-HQ Call no: 333.91 G000 MAR Record No: H029908)

2 Hyde, W. F.; Belcher, B.; Xu, J.. 2003. China’s forests: Global lessons from market reforms. Eds. Washington, DC, USA: Resources for the Future. xvi, 224p.
Forest management ; Forest policy ; Investment ; Environmental effects ; Biodiversity ; Economic aspects ; Poverty ; Rural development ; Agroforestry ; Deforestation ; Afforestation ; Land tenure / China
(Location: IWMI-HQ Call no: 634.92 G592 HYD Record No: H037395)

3 Sujakhu, N. M.; Ranjitkar, S.; Niraula, R. R.; Salim, M. A.; Nizami, A.; Schmidt-Vogt, D.; Xu, J.. 2018. Determinants of livelihood vulnerability in farming communities in two sites in the Asian highlands. Water International, 43(2):165-182. (Special issue: Climate Change and Adaptive Water Management: Innovative Solutions from the Global South). [doi: https://doi.org/10.1080/02508060.2017.1416445]
Living standards ; Climate change adaptation ; Risk assessment ; Households ; Farmers ; Highlands ; Communities ; Socioeconomic environment ; Weather hazards ; Indicators ; Case studies / South Asia / Pakistan / Nepal / Garam Chasma Valley / Melamchi River Valley
(Location: IWMI HQ Call no: e-copy only Record No: H048597)
https://www.tandfonline.com/doi/pdf/10.1080/02508060.2017.1416445?needAccess=true
https://vlibrary.iwmi.org/pdf/H048597.pdf
(2.21 MB) (2.21 MB)
To identify the indicators of adaptive capacity that determine vulnerability of households, an intensive investigation was conducted in farming communities at two locations in the Asian highlands. Livelihood vulnerability was assessed, classified to four categories and regressed against current adaptive capacity using logistic regression. Household head’s education, irrigated land, non-agricultural income, and technologies used were associated with adaptive capacity. The strengthening of human, natural and financial capital is identified as the best means of managing risk in farming communities in this mountainous region.

4 Ma, X.; Lacombe, Guillaume; Harrison, R.; Xu, J.; van Noordwijk, M. 2019. Expanding rubber plantations in southern China: evidence for hydrological impacts. Water, 11(4): 1-15. [doi: https://doi.org/10.3390/w11040651]
Rubber industry ; Hydrological factors ; Agroforestry ; Catchment areas ; Humid tropics ; Impact assessment ; Land cover change ; Water balance ; Watershed management ; Rainfall ; Farmland ; Grasslands ; Slope / Southeast Asia / Southern China
(Location: IWMI HQ Call no: e-copy only Record No: H049180)
https://www.mdpi.com/2073-4441/11/4/651/pdf
https://vlibrary.iwmi.org/pdf/H049180.pdf
(2.26 MB) (2.26 MB)
While there is increasing evidence concerning the detrimental effects of expanding rubber plantations on biodiversity and local water balances, their implications on regional hydrology remain uncertain. We studied a mesoscale watershed (100 km2) in the Xishuangbanna prefecture, Yunnan Province, China. The influence of land-cover change on streamflow recorded since 1992 was isolated from that of rainfall variability using cross-simulation matrices produced with the monthly lumped conceptual water balance model GR2M. Our results indicate a statistically significant reduction in wet and dry season streamflow from 1992 to 2002, followed by an insignificant increase until 2006. Analysis of satellite images from 1992, 2002, 2007, and 2010 shows a gradual increase in the areal percentage of rubber tree plantations at the watershed scale. However, there were marked heterogeneities in land conversions (between forest, farmland, grassland, and rubber tree plantations), and in their distribution across elevations and slopes, among the studied periods. Possible effects of this heterogeneity on hydrological processes, controlled mainly by infiltration and evapotranspiration, are discussed in light of the hydrological changes observed over the study period. We suggest pathways to improve the eco-hydrological functionalities of rubber tree plantations, particularly those enhancing dry-season base flow, and recommend how to monitor them.

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
(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.

6 Twecan, D.; Wang, W.; Xu, J.; Mohmmed, A. 2022. Climate change vulnerability, adaptation measures, and risk perceptions at households level in Acholi Sub-region, northern Uganda. Land Use Policy, 115:106011. [doi: https://doi.org/10.1016/j.landusepol.2022.106011]
Climate change adaptation ; Vulnerability ; Risk ; Households ; Smallholders ; Farmers ; Young workers ; Livelihoods ; Socioeconomic aspects ; Agricultural extension ; Agricultural production ; Rainfall patterns ; Extreme weather events ; Policies / Uganda / Acholi Sub-Region / Gulu / Kitgum / Pader / Amuru / Nwoya / Lamwo
(Location: IWMI HQ Call no: e-copy only Record No: H051041)
https://vlibrary.iwmi.org/pdf/H051041.pdf
(1.73 MB)
Uganda is among the world's susceptible countries to climate extremes, such as droughts (IPCC, 2007). This study assesses the risks associated with climate change vulnerability, adaptation techniques used by young smallholder farmers to ease its adverse effects on agriculture. A dataset of 600 randomly selected respondents was collected using the household survey method from Gulu, Kitgum, Pader, Amuru, Nwoya, and Lamwo districts. Finding reveals droughts, increased temperature, pests and diseases, degradation, and poor socioeconomic conditions as the main determinants of climate change. The main adaptation measures revealed were changing crop types, planting early-maturing crops, crop rotation, mixed cropping, and livelihood diversification. Lack of knowledge and information, poverty, inadequate governmental support, limited agricultural extension, insufficient financial capital, illiteracy, and markets were the main constraints hindering access and adoption of advanced adaptation measures. This research provides useful insights and evidence for policy implementation on household farm-level climate change vulnerability, adaptation measures, and risk perceptions in absorbing, adapting, and transforming from climate shocks and threats. The analysis implies that the government should provide agricultural extension services on climate vulnerability and adaptation measures, access to market, financial credits, knowledge and information, accessible livelihoods assets, and end-to-land grabbing. Overall, our results recommend that government authorities and relevant stakeholders integrate and implement climate change adaptation policies at local government operations to ease the vulnerability of smallholder farmers and augment their climate change absorptive, adaptive, and transformative abilities.

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