Your search found 15 records
1 Biswas, A. K.; Jellali, M.; Stout, G. E. (Eds.) 1993. Water for sustainable development in the twenty-first century. Delhi, India: Oxford University Press (OUP) xvi, 273p. (Water Resources Management Series 1)
Water resources development ; Water resource management ; Sustainability ; Water policy ; Arid zones ; Surface water ; Watershed management ; Dams ; Groundwater ; Water quality ; Water reuse ; Evapotranspiration ; Tube wells ; Economic impact ; Financing ; Case studies / Africa / Africa South of Sahara / Netherlands / Brazil / Japan / Egypt / India / Amazon / Aral Sea / Maharashtra
(Location: IWMI-HQ Call no: 333.91 G000 BIS Record No: H014385)
2 Powell, J. M.; Fern ndez-Rivera, S.; Williams, T. O.; Renard, C. (Eds.) 1994. Livestock and sustainable nutrient cycling in mixed farming systems of sub-Saharan Africa: Vol.II: Technical papers. Proceedings of an International Conference, International Livestock Centre for Africa (ILCA), Addis Ababa, Ethiopia, 22-26 November 1993. Addis Ababa, Ethiopia: ILCA. vii, 560p.
Farming systems ; Livestock ; Sustainable agriculture ; Environmental effects ; Natural resources ; Cattle ; Pastures ; Grazing ; Nitrogen ; Soils ; Cereals / Africa South of Sahara / West Africa / Mali / Java / Syria / Niger / Nigeria / Latin America / Kenya / India / Amazon / Sahel / Gujarat
(Location: IWMI-HQ Call no: 631 G110 POW Record No: H017076)
3 SAREC; WHO. Special Programme for Research and Training in Tropical Diseases (TDR) 1995. Tropical diseases, society and the environment: Proceedings from a Research Seminar Jointly organized by the TDR Programme and SAREC at Stenungsund, August 31-September 2, 1993. Stockholm, Sweden: SAREC. 216p. (SAREC documentation: Conference reports 1995:2)
Malaria ; Deforestation ; Forest management ; Public health ; Gender ; Poverty ; Irrigation water ; Waterborne diseases ; Disease vectors ; Schistosomiasis ; Environmental effects ; Sustainable agriculture ; Water scarcity ; Ecology ; Social aspects ; Households ; Developing countries / Brazil / Laos / Africa / Sri Lanka / Kenya / Amazon / Sahel / Mahaweli Project
(Location: IWMI-HQ Call no: 631.7.5 G000 SAR Record No: H018117)
4 Thapa, K. K.; Bilsborrow, R. E.; Murphy, L. 1996. Deforestation, land use, and women's agricultural activities in the Ecuadorian Amazon. World Development, 24(8):1317-1332.
Deforestation ; Land use ; Women ; Households ; Female labor ; Agricultural manpower ; Models / Ecuador / Amazon
(Location: IWMI-HQ Call no: PER Record No: H019046)
5 Tundisi, J. G.; Rocha, O.; Matsumura-Tundisi, T.; Braga, B. 1998. Reservoir management in South America. International Journal of Water Resources Development, 14(2):141-155.
Reservoirs ; River basins ; Environmental effects ; Ecology / South America / La Plata Basin / Sao Francisco Basin / Amazon
(Location: IWMI-HQ Call no: PER Record No: H022468)
6 Pielke, R. A.; Avissar, R.; Raupach, M.; Dolman, A. J.; Zeng, X.; Denning, S. 1998. Interactions between the atmosphere and terrestrial ecosystems: Influence on weather and climate. Global Change Biology, 4:461-475.
(Location: IWMI-HQ Call no: P 5512 Record No: H027060)
7 Peden, D. G. 2000. Is there a doctor on the farm?: Managing agroecosystems for better human health. IDRC working document, presented CGIAR International Centers Week, 25 October 2000. 48p.
Public health ; Ecosystems ; Ecology ; Agricultural research ; Poverty ; Livestock ; Malaria ; Waterborne diseases ; Irrigation programs ; Rice ; Paddy fields / Thailand / Ethiopia / Kenya / Uganda / Southern Africa / Africa South of Sahara / Peru / Brazil / Ecuador / Sri Lanka / West Africa / Amazon / Uda Walawe
(Location: IWMI-HQ Call no: P 5717 Record No: H027990)
8 Lima, I. B. T.; Rosa, R. R.; Ramos, F. M.; de Moraes Novo, E. M. L. 2003. Water level dynamics in the Amazon floodplain. Advances in Water Resources, 26(7):725-732.
(Location: IWMI-HQ Call no: PER Record No: H032274)
9 Cattaneo, A. 2002. Balancing agricultural development and deforestation in the Brazilian Amazon. Washington, DC, USA: International Food Policy Research Institute (IFPRI). xiii, 146p. (IFPRI Research Report 129)
Economic development ; Agricultural development ; Deforestation ; Models ; Economic aspects ; Land classification ; Livestock ; Agricultural economics ; Productivity ; Policy / Brazil / Amazon
(Location: IWMI-HQ Call no: 338.9 G514 CAT Record No: H033434)
10 Smith, R. C.; Benavides, M.; Pariona, M.; Tuesta, E. 2003. Mapping the past and the future: Geomatics and indigenous territories in the Paruvian Amazon. Human Organization, 62(4):357-368.
(Location: IWMI-HQ Call no: PER Record No: H034531)
11 Takken, W.; Martens, P.; Bogers, R. J. (Eds.) 2005. Environmental change and malaria risk: global and local implications. Dordrecht, Netherlands: Springer. xxii, 138p. (Wageningen UR Frontis series vol.9)
Malaria ; Risks ; Climate change ; Models ; Vectorborne diseases ; Health ; Environmental effects ; Entomology ; Ecosystems ; Assessment ; GIS ; Remote sensing / Kenya / Brazil / Kisumu / Amazon / Rondonia
(Location: IWMI-HQ Call no: 614.532 G000 TAK Record No: H038804)
12 Mathieu, J.; Grimaldi, M.; Jouquet, Pascal; Rouland, C.; Lavelle, P.; Desjardins, T.; Rossi, J. P. 2009. Spatial patterns of grasses influence soil macrofauna biodiversity in Amazonian pastures. Soil Biology and Biochemistry, 41(3):586-593. [doi: https://doi.org/10.1016/j.soilbio.2008.12.020]
Pastures ; Soil organisms ; Soil fauna ; Biodiversity ; Soil temperature ; Statistical methods / South America / Amazon
(Location: IWMI HQ Call no: e-copy only Record No: H042326)
(0.45 MB)
Grasslands are often characterized by small-scale spatial eterogeneity due to the juxtaposition of grass tufts and bare ground. Although the mechanisms generating plant spatial patterns have been widely studied, few studies concentrated on the consequences of these patterns on belowground macrofauna. Our objective was to analyze the impact of grass tuft (Brachiaria bryzantha cv. marandu) spatial distribution on soil macrofauna diversity in Amazonian pastures, at a small scale (less than 9 m2). Soil macrofauna was sampled among B. bryzantha tufts, which showed a variable spatial distribution ranging from dense to loose vegetation cover. The vegetation configuration explained 69% of the variation in total soil macrofauna density and 68% of the variation in total species richness. Soil macrofauna was mainly found in the upper 10 cm of soil and biodiversity decreased with increasing distances to the nearest grass tuft and increased with increasing vegetation cover. The size of the largest grass tuft and the microlandscape connectivity also had a significant effect on biodiversity. The density and species richness of the three principal soil ecological engineers (earthworms, ants and termites) showed the best correlations with vegetation configuration. In addition, soil temperature significantly decreased near the plants, while soil water content was not influenced by the grass tufts. We conclude that soil macrofauna diversity is low in pastures except close to the grass tufts, which can thus be considered as biodiversity hotspots. The spatial arrangement of B. bryzantha tussocks influences soil macrofauna biodiversity by modifying soil properties in their vicinity. The possible mechanisms by which these plants could affect soil macrofauna are discussed.
13 Rosenqvist, A.; Shimada, M. (Eds.) 2010. Global environmental monitoring by ALOS PALSAR: science results from the ALOS Kyoto and Carbon Initiative. Tsukuba, Ibaraki, Japan: Japan Aerospace Expoloration Agency. 87p.
Environmental monitoring ; Satellite imagery ; Forests ; Deforestation ; Mapping ; Watersheds ; Land cover mapping ; Deserts ; Wetlands ; Wildlife ; Nature conservation ; Habitats ; Flooding ; River basins ; Mangroves ; Peatlands ; Rice ; Climate change / Africa / Malawi / South Africa / Mozambique / USA / Brazil / Sweden / Canada / Australia / Asia / South East Asia / Borneo / Indonesia / Sumatra / Vietnam / Siberia / South East Asia / Amazon / Xingu Watershed / Greater Mekong Basin / Queensland / Nile River / Lake Urema / Congo River Basin / Sahara / Alaska
(Location: IWMI HQ Call no: e-copy only Record No: H043187)
http://www.eorc.jaxa.jp/ALOS/en/kyoto/ref/KC-Booklet_2010_comp.pdf
https://vlibrary.iwmi.org/pdf/H043187.pdf
https://vlibrary.iwmi.org/pdf/H043187.pdf
(17.26 MB) (17.26 MB)
This booklet presents results obtained within the ALOS Kyoto & Carbon (K&C) Initiative. The Initiative builds on the experience gained from the JERS-1 Global Rain Forest and Boreal Forest Mapping (GRFM/GBFM) projects, in which SAR data from the JERS-1 satellite were used to generate image mosaics over the entire tropical and boreal zones of Earth. While the GRFM/GBFM projects were undertaken already in the mid 1990's, they demonstrated the utility of L-band SAR data for mapping and monitoring forest and wetland areas and the importance of providing spatially and temporally consistent satellite acquisitions for regional-scale monitoring and surveillance. The ALOS K&C Initiative is set out to suppor t data and information needs raised by international environmental Conventions, Carbon cycle science and Conservation of the environment. The project is led by JAXA EORC and supported by an international Science Team consisting of some 25 research groups from 14 countries. The objective of the ALOS K&C Initiative is to develop regional-scale applications and thematic products derived primarily from ALOS PALSAR data that can be used to meet the specific information requirements relating to Conventions, Carbon and Conservation. The Initiative is undertaken within the context of three themes which relate to three specific global biomes; Forests, Wetlands and Deserts. A fourth theme deals with the generation of continental-scale ALOS PALSAR image mosaics. Each theme has identified key products that are generated from the PALSAR data including land cover, forest cover and forest change maps, biomass and structure (Forests), wetlands inventory and change (Wetlands) and freshwater resources (Deserts). Each of these products are generated using a combination of PALSAR, in situ and ancillary datasets. The mosaic data sets and thematic products generated within the Initiative are available to the public at the K&C homepage at JAXA EORC: http://www.eorc.jaxa.jp/ALOS/en/kyoto/kyoto_index.html
14 Nair, P. K. R.; Garrity, D. (Eds.) 2012. Agroforestry - the future of global land use. Dordrecht, Netherlands: Springer. 549p. (Advances in Agroforestry 9) [doi: https://doi.org/10.1007/978-94-007-4676-3]
Agroforestry systems ; Land use ; Land management ; Landscape ; Climate change ; Adaptation ; Habitats ; Ecosystem services ; Biodiversity conservation ; Rural development ; Trees ; Domestication ; Carbon sequestration ; Carbon credits ; Agriculture ; Farming systems ; Research and Development ; Energy conservation ; Energy generation ; Renewable energy ; Bioenergy ; Industrialization ; Soil properties ; Rangelands ; Gender ; Smallholders ; Food security ; Germplasm ; Rehabilitation ; Greenhouse gases ; Emission ; Sustainability ; Organic agriculture ; Organic fertilizers ; Faidherbia albida ; Natural resources management ; Forest conservation ; Tillage ; Residues ; Nutrient cycling ; Grazing ; Cropping systems ; Shifting cultivation ; Rubber plants ; Wetlands ; Living standards ; Cashews ; Smallholders ; Fruit growing ; Poverty ; Rural communities ; Environmental policy ; Environmental services ; Silvopastoral systems ; Economic aspects ; Alley cropping ; Reclamation ; Indigenous knowledge ; Urbanization ; Agrobiodiversity ; Fertilizers ; Resource conservation ; Legal aspects ; Corporate culture ; Theobroma cacao ; Coffea ; Forage ; Soil fertility ; Case studies / Asia / Europe / Africa / Indonesia / China / USA / Canada / Japan / Latin America / Kenya / Philippines / Niger / Amazon / Sumatra / Xishuangbanna
(Location: IWMI HQ Call no: e-copy SF Record No: H047924)
15 Fan, X.; Miao, C.; Duan, Q.; Shen, C.; Wu, Y. 2021. Future climate change hotspots under different 21st century warming scenarios. Earth’s Future, 9(6):e2021EF002027. [doi: https://doi.org/10.1029/2021EF002027]
Climate change ; Forecasting ; Global warming ; Extreme weather events ; Precipitation ; Temperature ; Emission ; Models ; Uncertainty ; Indicators / Central Africa / West Africa / Southern Africa / Central America / Arctic Region / Indonesia / Tibetan Plateau / Amazon
(Location: IWMI HQ Call no: e-copy only Record No: H050397)
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2021EF002027
https://vlibrary.iwmi.org/pdf/H050397.pdf
https://vlibrary.iwmi.org/pdf/H050397.pdf
(4.65 MB) (4.65 MB)
Identifying climate change hotspot regions is critical for planning effective mitigation and adaptation activities. We use standard Euclidean distance (SED) to calculate integrated changes in precipitation and temperature means, interannual variability, and extremes between different future warming levels and a baseline period (1995–2014) using the Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble. We find consistent hotspots in the Amazon, central and western Africa, Indonesia and the Tibetan Plateau at warming levels of 1.5 °C, 2 °C and 3 °C for all scenarios explored; the Arctic, Central America and southern Africa emerge as hotspots at 4 °C warming and at the end of the 21st century under two Shared Socioeconomic Pathways scenarios, SSP3-7.0 and SSP5-8.5. CMIP6 models show higher SED values than CMIP5, suggesting stronger aggregated effects of climate change under the new scenarios. Hotspot time of emergence (TOE) is further investigated; TOE is defined as the year when the climate change signal first exceeds the noise of natural variability in 21st century projections. The results indicate that TOEs for warming would occur over all primary hotspots, with the earliest occurring in the Arctic and Indonesia. For precipitation, TOEs occur before 2100 in the Arctic, the Tibetan Plateau and Central America. Results using a geographical detector model show that patterns of SED are shaped by extreme hot and dry occurrences at low-to-medium warming, while precipitation and temperature means and extreme precipitation occurrences are the dominant influences under the high emission scenario and at high warming levels.
Powered by DB/Text WebPublisher, from
