Resources
Displaying 1546 - 1550 of 2258Survey of Community Livelihoods and Landscape Change along the Nzhelele and Levuvhu River Catchments in Limpopo Province, South Africa
Landscape-change studies have attracted increasing interest because of their importance to land management and the sustainable livelihoods of rural communities. However, empirical studies on landscape change and its drivers are often poorly understood, particularly, in small rural communities in developing countries such as South Africa. The present study surveyed local community livelihoods and perceptions of landscape change in the Nzhelele and Levuvhu river catchments in Limpopo Province, South Africa.
Farmers’ Intentions to Lease Forestland: Evidence from Rural China
In the last decade, despite considerable research developed for the forestland leasing market, little has been published in terms of econometric results on determinants of intentions and behaviors of Chinese farmers. With respect to leasing forestland, this study uses a Bayesian logit model to examine the factors that influence farmers’ intentions, using household data collected in one county in 2017. The results show that farmers’ past experience of leasing forestlands have significant impacts on their leasing intentions.
Decolonising Conservation Policy: How Colonial Land and Conservation Ideologies Persist and Perpetuate Indigenous Injustices at the Expense of the Environment
The livelihoods of indigenous peoples, custodians of the world’s forests since time immemorial, were eroded as colonial powers claimed de jure control over their ancestral lands. The continuation of European land regimes in Africa and Asia meant that the withdrawal of colonial powers did not bring about a return to customary land tenure. Further, the growth in environmentalism has been interpreted by some as entailing conservation ahead of people.
Detecting Land Abandonment in Łódź Voivodeship Using Convolutional Neural Networks
The wide availability of multispectral satellite imagery through projects such as Landsat and Sentinel, combined with the introduction of deep learning in general and Convolutional Neural Networks (CNNs) in particular, has allowed for the rapid and effective analysis of multiple classes of problems pertaining to land coverage. Taking advantage of the two phenomena, we propose a machine learning model for the classification of land abandonment.
Challenges to Implementing Socially-Sustainable Community Development in Oil Palm and Forestry Operations in Indonesia
Through the lenses of community development and social licence to operate, we consider the complex relationships between local communities and forest plantation and oil palm companies. We examine the practical challenges in implementing socially-sustainable community development (SSCD) by analyzing two corporate social investment community development projects located in West Kalimantan, Indonesia: Desa Makmur Peduli Api (integrated fire management) and Pertanian Ekologi Terpadu (ecological farming).