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  • Search: subject:"Biomass estimation"
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Year of publication
Subject
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basal area 2 biomass estimation 2 deciduous forests 2 evergreen forests 2 tree height 2 tropical forests 2 Allometric equations 1 Biomass estimation 1 Land cover changes 1 Landsat 1 Transhumant pastoralism 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1
Language
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Undetermined 2 English 1
Author
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Bhat, D.M. 2 Murali, K.S. 2 Ravindranath, N.H. 2 Brinkmann, Katja 1 Buerkert, Andreas 1 Diogo, Rodrigue V. Cao 1 Ellison, James 1
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Published in...
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International Journal of Agricultural Resources, Governance and Ecology 2 Environment, Development and Sustainability 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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Land cover transitions and effects of transhumance on available forage biomass of rangelands in Benin
Ellison, James; Brinkmann, Katja; Diogo, Rodrigue V. Cao; … - In: Environment, Development and Sustainability 24 (2021) 10, pp. 12276-12310
This study examined the effects of transhumance pressure on total abavoe-ground biomass and forage availability on rangelands in Benin. We also investigated the implications of land cover transitions on rangelands over a 31-year period. Our work was carried out in three regions of Benin...
Persistent link: https://www.econbiz.de/10014502102
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Cover Image
Biomass estimation equations for tropical deciduous and evergreen forests
Murali, K.S.; Bhat, D.M.; Ravindranath, N.H. - In: International Journal of Agricultural Resources, … 4 (2005) 1, pp. 81-92
In this study, linear and non-linear regression equations were developed to estimate biomass of tropical forests along with estimates of goodness of fit and percentage of errors. Basal area, average height of trees and tree density data from published reports, were used to develop equations to...
Persistent link: https://www.econbiz.de/10005751991
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Cover Image
Biomass estimation equations for tropical deciduous and evergreen forests
Murali, K.S.; Bhat, D.M.; Ravindranath, N.H. - In: International Journal of Agricultural Resources, … 4 (2005) 1, pp. 81-92
In this study, linear and non-linear regression equations were developed to estimate biomass of tropical forests along with estimates of goodness of fit and percentage of errors. Basal area, average height of trees and tree density data from published reports, were used to develop equations to...
Persistent link: https://www.econbiz.de/10008564271
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