Your search found 113 records
1 Jensen, J. R. 2007. Remote sensing of the environment: an earth resource perspective. 2nd ed. Upper Saddle River, NJ, USA: Pearson Education. 592p. (Prentice Hall Series in Geographic Information Science)
Remote sensing ; Electromagnetic radiation ; History ; Aerial photography ; Photogrammetry ; Landscape ; Surface water ; Soil classification ; Soil properties ; Geomorphology ; Vegetation
(Location: IWMI HQ Call no: 621.3678 G000 JEN Record No: H043264)
(0.75 MB)
2 Swedish Water House (SWH); Stockholm Resilience Center (SRC); Stockholm International Water Institute (SIWI); International Water Management Institute (IWMI). 2007. Agriculture, water and ecosystems. Stockholm, Sweden: Stockholm International Water Institute (SIWI). 15p. (Swedish Water House Policy Briefs 6)
(Location: IWMI HQ Call no: 577.5 G000 SWE Record No: H043369)
http://www.siwi.org/documents/Resources/Policy_Briefs/PB6_Agriculture_Water_and_Ecosystems_2007.pdf
https://vlibrary.iwmi.org/pdf/H043369.pdf
https://vlibrary.iwmi.org/pdf/H043369.pdf
(0.98 MB)
3 de Blij, H. J.; Muller, P. O. 2002. Geography: realms, regions, and concepts. 10th ed. New York, NY, USA: John Wiley. 563p. + appendixes.
Geography ; Political geography ; Economic geography ; Physiography ; Climate ; Landscape ; History / Europe / Russia / North America / Middle America / South America / Africa / Africa South of Sahara / Asia
(Location: IWMI HQ Call no: 910 G000 DEB Record No: H043934)
(0.19 MB)
4 Nagabhatla, N.; Senaratna Sellamuttu, Sonali; Bobba, A. G.; Finlayson, M.; Wickramasuriya, R.; van Brakel, Martin; Prasad, S. N.; Pattanaik, C. 2012. Insight to Ecosystem Based Approach (EBA) at landscape level using a geospatial medium. Journal of the Indian Society of Remote Sensing, 40(1):47-64. [doi: https://doi.org/10.1007/s12524-011-0080-8]
Ecosystems ; Wetlands ; Landscape ; Multiple use ; Agroecology ; GIS ; Remote sensing ; Social aspects / Sri Lanka / India / Lake Kolleru / Muthurajawela Marsh / Negombo Lagoon
(Location: IWMI HQ Call no: e-copy only Record No: H044044)
(0.95 MB)
Ecosystem based approach (EBA) for resource management is a concerted, environmentally tuned and an integrated framework that holistically addresses the ecological character of the natural resource, its societal benefit spectrum and its environmental functions. In this paper, the EBA concept is closely linked with the emerging concept of multiple use systems (MUS) while taking account of environmental, economic, and social factors that govern the ecosystems services and benefits. We elucidate a multi-scalar approach and multiple case studies to understand EBA particularly in context of a wetlandscape. At the global scale, Ramsar sites of international importance are geospatially analyzed with reference to their agro-ecology and biodiversity. At regional scale, the agrarian use of inland wetlands in India was re-evaluated taking account of database from a recent inland wetland inventory. At the local scale, drawing on the landscape characterization and the ecological economics for fresh water Lake Kolleru in India and the Muthurajawela Marsh-Negombo Lagoon coastal marsh in Sri Lanka, we illustrate some of the practical challenges in balancing wetland conservation, development needs and the overall well-being of local people. We also discuss how variability in the scale, geophysical characteristics of the site and the data availability confines the ability to simplify a single complete approach to address issues in complex ecosystem such as wetlands. All levels of the study are supported by a variety of earth observation data and the geographical information system (GIS) tools. The site level analysis also draws on socio-economic assessment tools.
5 van Steenbergen, F.; Tuinhof, A.; Knoop, L. 2011. Transforming landscapes, transforming lives: the business of sustainable water buffer management. Wageningen, Netherlands: 3R Water Secretariat. 105p.
Land management ; Water management ; Water resources development ; Natural resources management ; Landscape ; Soil moisture ; Soil conservation ; Water conservation ; Hygroscopicity ; Flooding ; Dams ; Grazing ; Floodplains ; Tube wells ; Investment ; Irrigation canals ; Ecosystems ; Land degradation ; Groundwater recharge / Burkina Faso / Niger / Ethiopia / Thailand / China / Iran / Turkmenistan / Tanzania / Kenya / Yemen / India / Africa / USA / Tigray River basin / Loess Plateau / Maharastra / Savannah Grasslands
(Location: IWMI HQ Call no: 333.91 G000 VAN Record No: H044246)
(2.05 MB)
6 Boelee, Eline. (Ed.) 2011. Ecosystems for water and food security. [Background paper] Nairobi, Kenya: United Nations Environment Programme (UNEP); Colombo, Sri Lanka: International Water Management Institute (IWMI). 179p.
Agroecosystems ; Agriculture ; Food security ; Food production ; Water scarcity ; Water management ; Water productivity ; Wetlands ; Water use ; Decision making ; Environmental flows ; Developing countries ; Hunger ; Poverty ; Fisheries ; Climate change ; Agroforestry ; Biodiversity ; Rangelands ; Livestock ; Rainfed farming ; Policy ; Landscape
(Location: IWMI HQ Call no: e-copy only Record No: H044268)
(7.25MB)
7 Prasad, P. R.; Nagabhatla, N.; Dutt, C. B. S. 2010. Intra-variability analysis in the heterogeneous tropical island system of South Asia. In Ramakrishna; Raghunathan, C.; Sivaperuman, C. Recent trends in biodiversity of Andaman and Nicobar Islands. Kolkata, India: Zoological Survey of India. pp.223-230 + Plates.
Islands ; Landscape ; Mapping ; Data analysis ; Biodiversity ; Forests / South Asia / Emerald Isles / Andaman Island / Nicobar Island / Baratang Islands
(Location: IWMI HQ Call no: e-copy only Record No: H044341)
(0.21 MB)
8 Amarnath, Giriraj; Murthy, M. S. R.; Shrestha, B. 2011. Evaluating biodiversity and spatial simulation of land-cover change in the tropical region of Western Ghats, India. In Pavlinov, I. Y. (Ed.). Research in biodiversity - models and applications. Rijeka, Croatia: InTech. pp.115-144.
Biodiversity ; Simulation models ; Land cover change ; Land use ; Satellite surveys ; Forests ; Vegetation ; Species ; Landscape ; Analytical methods / India / Western Ghats
(Location: IWMI HQ Call no: e-copy only Record No: H044390)
http://www.intechopen.com/source/pdfs/21532/InTech-Evaluating_biodiversity_and_spatial_simulation_of_land_cover_change_in_the_tropical_region_of_western_ghats_india.pdf
https://vlibrary.iwmi.org/pdf/H044390.pdf
https://vlibrary.iwmi.org/pdf/H044390.pdf
(3.10 MB) (439.47KB)
9 Lemenih, Mulugeta; Bossio, Deborah; Snyder, Katherine; Sharma, Bharat R.; Amede, Tilahun. 2011. Ecosystem services and socio-ecological resilience of a landscape: case study from three catchments in the Blue Nile Basin of Ethiopia. [Abstract only]. Paper presented at the 3rd International Forum on Water and Food, Tshwane, South Africa, 14-17 November 2011. 2p.
(Location: IWMI HQ Call no: e-copy only Record No: H044556)
http://cgspace.cgiar.org/bitstream/handle/10568/10548/NRSe001_Final_RD_1910.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H044556.pdf
https://vlibrary.iwmi.org/pdf/H044556.pdf
(0.33 MB) (340.39KB)
10 Zemadim, Birhanu; McCartney, Matthew; Sharma, Bharat R. 2011. Integrated rainwater management strategies in the Blue Nile Basin of the Ethiopian highlands: landscape study and identification of interventions. [Abstract only]. In University of Leuven. Department of Earth and Environmental Sciences. International Congress: Water 2011, Integrated Water Resources Management in Tropical and Subtropical Drylands, Mekelle, Ethiopia, 19-26 September 2011. Book of abstracts. Heverlee, Belgium: University of Leuven. Department of Earth and Environmental Sciences. pp.113.
Water management ; Rain ; River basins ; Highlands ; Landscape / Ethiopia / Jeldu District / Fogera District / Diga District / Blue Nile River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H044571)
(0.08 MB)
The present paper focuses on integrated rainwater management strategies-technologies, institutions and policies for the Ethiopian highlands of the Blue Nile Basin. Three districts namely; Jeldu, Fogera and Diga have been identified for the study based on study landscapes representing dominant hydro-ecologies and farming systems, and nested sets of sites for learning and research at a variety of physical and social scales. One action research catchment was identified for each district as follows: Meja watershed (96km2) in Jeldu, Dapo watershed (18km2) in Diga and, Mizewa watershed (27km2) in Fogera. The work includes detail analysis of landscape conditions and community interviews to understand local perceptions with regards to efficient land and water management practices and possible water and land management interventions. Therefore with knowledge gained from existing land and water management practices and incorporating community perceptions, preliminary rainwater management interventions that need to be practiced in the three action research catchments are recommended. It is anticipated that successful interventions in the study means improved livelihood for the local poor and basin wide policy formulation.
11 Johnston, Robyn; Hoanh, Chu Thai; Lacombe, Guillaume; Lefroy, R.; Pavelic, Paul; Fry, Carolyn. 2012. Managing water in rainfed agriculture in the Greater Mekong Subregion. Final report prepared by IWMI for Swedish International Development Cooperation Agency (Sida). Colombo, Sri Lanka: International Water Management Institute (IWMI); Stockholm, Sweden: Swedish International Development Cooperation Agency (Sida). 100p. [doi: https://doi.org/10.5337/2012.201]
Water management ; Agroecology ; Environment ; Rainfed farming ; Irrigated farming ; Farming systems ; Crop production ; Agricultural production ; Yields ; Poverty ; Climate change ; Drought ; Floodplains ; Rain ; Mapping ; Case studies ; Reservoirs ; Deltas ; Groundwater ; Farm ponds ; Water storage ; Rivers ; Lowland ; Highlands ; Plains ; Landscape ; Coastal area ; Urban areas ; Aquifers / Southeast Asia / Cambodia / Laos / Myanmar / Thailand / Vietnam / Greater Mekong Subregion
(Location: IWMI HQ Call no: e-copy only Record No: H044646)
(4.39 MB) (2.44MB)
12 Douxchamps, S.; Frossard, E.; Uehlinger, N.; Rao, I.; van der Hoek, R.; Mena, M.; Schmidt, A.; Oberson, A. 2011. Identifying factors limiting legume biomass production in a heterogeneous on-farm environment. Journal of Agricultural Science, 16p. (Online first). [doi: https://doi.org/10.1017/S0021859611000931]
Biomass ; Legumes ; Smallholders ; Crop production ; Farms ; Canavalia ; Maize ; Soil profiles ; Soil fertility ; Soil properties ; Rooting ; Sloping land ; Watersheds ; Environmental effects ; Landscape ; Statistical analysis / Nicaragua
(Location: IWMI HQ Call no: e-copy only Record No: H044796)
(0.45 MB)
Multipurpose legumes provide a wide range of benefits to smallholder production systems in the tropics. The degree of system improvement after legume introduction depends largely on legume biomass production, which in turn depends on the legumes’ adaptation to environmental conditions. For Canavalia brasiliensis (canavalia), an herbaceous legume that has been recently introduced in the Nicaraguan hillsides, different approaches were tested to define the biophysical factors limiting biomass production on-farm, by combining information from topsoil chemical and physical properties, topography and soil profiles.
Canavalia was planted in rotation with maize during two successive years on 72 plots distributed over six farms and at contrasting landscape positions. Above-ground biomass production was similar for both years and varied from 448 to 5357 kg/ha, with an average of 2117 kg/ha. Topsoil properties, mainly mineral nitrogen (N; ranging 25–142 mg/kg), total N (Ntot; 415–2967 mg/kg), soil organic carbon (SOC; 3–38 g/kg) and pH (5·3–7·1), significantly affected canavalia biomass production but explained only 0·45 of the variation. Topography alone explained 0·32 of the variation in canavalia biomass production. According to soil profiles descriptions, the best production was obtained on profiles with a root aggregation index close to randomness, i.e. with no major obstacles for root growth. When information from topsoil properties, topography and soil profiles was combined through a stepwise multiple regression, the model explained 0·61 of the variation in canavalia biomass (P<0·001) and included soil depth (0·5–1·70 m), slope position, amount of clay (19–696 kg/m2) and stones (7–727 kg/m2) in the whole profile, and SOC and N content in the topsoil. The linkages between topsoil properties, topography and soil profiles were further evaluated through a principal component analysis (PCA) to define the best landscape position for canavalia cultivation.
The three data sets generated and used in the present study were found to be complementary. The profile description demonstrated that studies documenting heterogeneity in soil fertility should also consider deeper soil layers, especially for deep-rooted plants such as canavalia. The combination of chemical and physical soil properties with soil profile and topographic properties resulted in a holistic understanding of soil fertility heterogeneity and shows that a landscape perspective must be considered when assessing the expected benefits from multipurpose legumes in hillside environments.
Canavalia was planted in rotation with maize during two successive years on 72 plots distributed over six farms and at contrasting landscape positions. Above-ground biomass production was similar for both years and varied from 448 to 5357 kg/ha, with an average of 2117 kg/ha. Topsoil properties, mainly mineral nitrogen (N; ranging 25–142 mg/kg), total N (Ntot; 415–2967 mg/kg), soil organic carbon (SOC; 3–38 g/kg) and pH (5·3–7·1), significantly affected canavalia biomass production but explained only 0·45 of the variation. Topography alone explained 0·32 of the variation in canavalia biomass production. According to soil profiles descriptions, the best production was obtained on profiles with a root aggregation index close to randomness, i.e. with no major obstacles for root growth. When information from topsoil properties, topography and soil profiles was combined through a stepwise multiple regression, the model explained 0·61 of the variation in canavalia biomass (P<0·001) and included soil depth (0·5–1·70 m), slope position, amount of clay (19–696 kg/m2) and stones (7–727 kg/m2) in the whole profile, and SOC and N content in the topsoil. The linkages between topsoil properties, topography and soil profiles were further evaluated through a principal component analysis (PCA) to define the best landscape position for canavalia cultivation.
The three data sets generated and used in the present study were found to be complementary. The profile description demonstrated that studies documenting heterogeneity in soil fertility should also consider deeper soil layers, especially for deep-rooted plants such as canavalia. The combination of chemical and physical soil properties with soil profile and topographic properties resulted in a holistic understanding of soil fertility heterogeneity and shows that a landscape perspective must be considered when assessing the expected benefits from multipurpose legumes in hillside environments.
13 Wood, A.; Thawe, P. 2013. Catchments and wetlands: a functional landscape approach to sustainable use of seasonal wetlands in central Malawi. In Wood, A.; Dixon, A.; McCartney, Matthew. (Eds.). Wetland management and sustainable livelihoods in Africa. Oxon, UK: Routledge - Earthscan. pp.63-84.
Wetlands ; Catchment areas ; Landscape ; Gender ; Crop production ; Households ; Ecosystems ; Economic aspects / Malawi
(Location: IWMI HQ Call no: IWMI Record No: H045886)
14 Boelee, Eline. (Ed.) 2013. Managing water and agroecosystems for food security. Wallingford, UK: CABI. 192p. (Comprehensive Assessment of Water Management in Agriculture Series 10) [doi: https://doi.org/10.5337/2014.002]
Water management ; Water use ; Water demand ; Water quality ; Hydrological cycle ; Water productivity ; Agroecosystems ; Nutrient cycling in ecosystems ; Food security ; Agriculture ; Food production ; Poverty ; Arid zones ; Wetlands ; River basins ; Livestock ; Fisheries ; Aquifers ; Biodiversity ; Biofuels ; Climate change ; Environmental flows ; Flooding ; Land degradation ; Rain ; Runoff ; Landscape ; Soil management ; Tillage ; Water power ; Fodder ; Health hazards
(Location: IWMI HQ Call no: IWMI Record No: H046118)
(2.38 MB)
15 Boelee, Eline; Scherr, S. J.; Pert, P. L.; Barron, J.; Finlayson, M.; Descheemaeker, K.; Milder, J. C.; Fleiner, R.; Nguyen-Khoa, S.; Barchiesi, S.; Bunting, S. W.; Tharme, R. E.; Khaka, E.; Coates, D.; Solowey, E. M.; Lloyd, G. J.; Molden, D.; Cook, Simon. 2013. Management of water and agroecosystems in landscapes for sustainable food security. In Boelee, Eline. (Ed.). Managing water and agroecosystems for food security. Wallingford, UK: CABI. pp.156-170. (Comprehensive Assessment of Water Management in Agriculture Series 10)
Water management ; Water productivity ; Agroecosystems ; Landscape ; Food security ; Institutions ; Research priorities
(Location: IWMI HQ Call no: IWMI Record No: H046129)
(133 KB)
16 Adams, J. B.; Gillespie, A. R. 2006. Remote sensing of landscapes with spectral images: a physical modeling approach. New York, NY, USA: Cambridge University Press. 362p.
Remote sensing ; Landscape ; Models ; Calibration ; Imagery ; Classification ; Spectroscopy ; Spectral analysis ; Vegetation ; Indicators ; Infrared radiation
(Location: IWMI HQ Call no: 551.48 G000 ADA Record No: H046138)
(0.73 MB)
17 Boelee, Eline. (Ed.) 2013. Managing water and agroecosystems for food security. Wallingford, UK: CABI. 192p. (Comprehensive Assessment of Water Management in Agriculture Series 10)
Water management ; Water use ; Water demand ; Water quality ; Hydrological cycle ; Water productivity ; Agroecosystems ; Nutrient cycling in ecosystems ; Food security ; Agriculture ; Food production ; Poverty ; Arid zones ; Wetlands ; River basins ; Livestock ; Fisheries ; Aquifers ; Biodiversity ; Biofuels ; Climate change ; Environmental flows ; Flooding ; Land degradation ; Rain ; Runoff ; Landscape ; Soil management ; Tillage ; Water power ; Fodder ; Health hazards
(Location: IWMI HQ Call no: IWMI c2 Record No: H046175)
(2.38 MB)
18 Scott, J. C. 1985. Weapons of the weak: everyday forms of peasant resistance. New Haven, CT, USA: Yale University Press. 389p.
Irrigation schemes ; Landscape ; Land ownership ; Land tenure ; Agricultural sector ; Rice ; Rural poverty ; Income ; Households ; Mechanization ; Local organizations ; Farmers associations / Malaysia / Sedaka / Kedah Irrigation Scheme / Muda Irrigation Scheme
(Location: IWMI HQ Call no: 305.5633 G7l6 SCO Record No: H046229)
(0.91 MB)
19 Kiptala, J. K.; Mohamed, Y.; Mul, Marloes L.; Van der Zaag, P. 2013. Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in eastern Africa. Water Resources Research, 49(12):8495-8510. [doi: https://doi.org/10.1002/2013WR014240, 2013]
Mapping ; Evapotranspiration ; Evaporation ; Models ; Algorithms ; Data ; Semiarid climate ; Landscape ; Water use ; Water balance ; Water accounting ; River basins ; Land use ; Land cover ; Reservoirs ; Precipitation / Eastern Africa / Upper Pangani River Basin / Nyumba ya Mungu reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H046302)
[1] Evapotranspiration (ET) accounts for a substantial amount of the water use in river basins particular in the tropics and arid regions. However, accurate estimation still remains a challenge especially in large spatially heterogeneous and data scarce areas including the Upper Pangani River Basin in Eastern Africa. Using multitemporal Moderate-resolution Imaging Spectroradiometer (MODIS) and Surface Energy Balance Algorithm of Land (SEBAL) model, 138 images were analyzed at 250 m, 8 day scales to estimate actual ET for 16 land use types for the period 2008–2010. A good agreement was attained for the SEBAL results from various validations. For open water evaporation, the estimated ET for Nyumba ya Mungu (NyM) reservoir showed a good correlations (R = 0.95; R2 = 0.91; Mean Absolute Error (MAE) and Root Means Square Error (RMSE) of less than 5%) to pan evaporation using an optimized pan coefficient of 0.81. An absolute relative error of 2% was also achieved from the mean annual water balance estimates of the reservoir. The estimated ET for various agricultural land uses indicated a consistent pattern with the seasonal variability of the crop coefficient (Kc) based on Penman-Monteith equation. In addition, ET estimates for the mountainous areas has been significantly suppressed at the higher elevations (above 2300 m a.s.l.), which is consistent with the decrease in potential evaporation. The calculated surface outflow (Qs) through a water balance analysis resulted in a bias of 12% to the observed discharge at the outlet of the river basin. The bias was within 13% uncertainty range at 95% confidence interval for Qs. SEBAL ET estimates were also compared with global ET from MODIS 16 algorithm (R = 0.74; R2 = 0.32; RMSE of 34% and MAE of 28%) and comparatively significant in variance at 95% confidence level. The interseasonal and intraseasonal ET fluxes derived have shown the level of water use for various land use types under different climate conditions. The evaporative water use in the river basin accounted for 94% to the annual precipitation for the period of study. The results have a potential for use in hydrological analysis and water accounting.
20 Sithirith, M.; Grundy-Warr, C. 2013. Floating lives of the Tonle Sap. Chiang Mai, Thailand: Chiang Mai University. Faculty of Social Sciences. The Regional Center for Social Science and Sustainable Development (RCSD). 385p.
Ecology ; Hydrology ; Ecosystems ; River basins ; Lakes ; Floating ; Villages ; Wetlands ; Landscape ; Floodplains ; Living standards ; Poverty ; Population ; Food consumption ; Food security ; Social aspects ; Economic aspects ; Fisheries ; Fish industry ; Rice ; Households ; Stakeholders ; Income ; Case studies / Cambodia / Tonle Sap River Basin / Kampong Phluk / Pursat
(Location: IWMI HQ Call no: 639.2092 G700 SIT Record No: H046374)
(0.55 MB)
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