Environments is an international, scientific, peer-reviewed, open access journal of environmental sciences published monthly online by MDPI.
Agriculture is widely recognized as a solution to food insecurity and poverty, especially in rural areas. However, 75% of the world’s poor live in rural areas, and agriculture is the primary source of their livelihood. One may wonder if the observed correlation between agriculture and poverty also suggests causation. If that is the case, then what such causal relationship might exist? Is agriculture a vehicle for poverty alleviation or a source of poverty trap?
Climate warming threatens the future sustainability of mountains, and tropical mountains are particularly threatened with loss of biodiversity and associated ecosystem services. Conservation biologists increasingly turn to habitat suitability models to guide the establishment and assessment of protected area networks to protect the highest number of species, yet this focus often neglects the values, attitudes, and beliefs of the people living around protected areas.
Unabated urbanization has led to environmental degradation and subsequent biodiversity loss across the globe. As an outcome of unmitigated land use, multi-jurisdictional agencies have developed land use plans that attempt to protect threatened or endangered species across selected areas by which some trade-offs between harm to species and additional conservation approaches are allowed among the partnering organizations.
Agricultural Land-Use Change (ALUC) is a major driver of global environmental change, not least via its direct impact on the sustainability and resilience of the rural economy. Its drivers are complex and have remained contentious, necessitating further empirical study. This study aims to derive context-specific evidence on the driving factors and effects of ALUC from different stakeholders’ perceptions. We carried out household surveys and participatory rural appraisal across Benue State, Nigeria.
Water quality models are useful tools to understand and mitigate eutrophication processes. However, gaining access to high-resolution data and fitting models to local conditions can interfere with their implementation. This paper analyzes whether it is possible to create a spatial model of nutrient water level at a local scale that is applicable in different geophysical and land-use conditions. The total nitrogen and phosphorus concentrations were modeled by integrating Geographical Information Systems, Remote Sensing, and Generalized Additive and Land-Use Changes Modeling.