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| Ango, Tola Gemechu; Department of Human Geography, Stockholm University; tola.gemechu@humangeo.su.se; Senbeta, Feyera; Center for Environment and Development Studies, College of Development Studies, Addis Ababa University ; feyeras@yahoo.com; Hylander, Kristoffer; Department of Ecology, Environment and Plant Sciences, Stockholm University; Kristoffer.Hylander@botan.su.se. |
| Farmers’ practices in the management of agricultural landscapes influence biodiversity with implications for livelihoods, ecosystem service provision, and biodiversity conservation. In this study, we examined how smallholding farmers in an agriculture-forest mosaic landscape in southwestern Ethiopia manage trees and forests with regard to a few selected ecosystem services and disservices that they highlighted as “beneficial” or “problematic.” Qualitative and quantitative data were collected from six villages, located both near and far from forest, using participatory field mapping and semistructured interviews, tree species inventory, focus group discussions, and observation. The study showed that... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Agricultural landscape; Biodiversity; Ecosystem services and disservices; Ethiopia; Farmer practices; Forest; Gera; Trees. |
| Ano: 2014 |
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| Souza,Carlos H. Wachholz de; Mercante,Erivelto; Prudente,Victor H. R.; Justina,Diego D.D.. |
| C.H.W Souza, E. Mercante, V.H.R. Prudente and D.D.D. Justina. 2013. Methods of performance evaluation for the supervised classification of satellite imagery in determining land cover classes. Cien. Inv. Agr. 40(2): 419-428. Satellite imagery, in combination with remote sensing techniques, provides a new opportunity for monitoring and assessing crops with lower cost and greater objectivity than traditional surveys. The present research employed Landsat 5/TM satellite imagery to identify the land cover classes in Cafelândia (Paraná, Brasil), a predominantly agricultural town. Five supervised classification methods (parallelepiped (PL), minimum distance (MND), Mahalanobis distance (MHD), maximum likelihood classifier (MLC) and spectral angle mapper (SAM))... |
| Tipo: Journal article |
Palavras-chave: Accuracy indices; Agricultural landscape; Classifiers; Remote sensing. |
| Ano: 2013 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202013000200016 |
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| Goijman,Andrea P.; Zaccagnini,María Elena. |
| Birds play several roles in agricultural lands and respond to habitat heterogeneity within the agricultural landscape. Agricultural intensification in Argentina has increased the sown area, mainly with soybean, fragmenting landscapes in the pampas and mesopotamic region. In Entre Ríos Province, the original Espinal forest has been fragmented, leaving remnant patches of natural vegetation, in cases modified by cattle grazing. These changes represent a potential threat for avian conservation. In Entre Ríos, terraces may be a useful habitat in maintaining avian diversity, similar to other non-cropped linear habitats in agricultural landscapes. We tested the hypothesis that habitat heterogeneity created by terraces would maintain higher species richness and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultural landscape; Birds; Forest; Soybean; Terraces. |
| Ano: 2008 |
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0073-34072008000200002 |
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