Every year, logging in the world’s largest tropical forest, located within the Amazon biome, continues unabated. Although it is a preferred alternative to deforestation, the residual stand and site are impacted by logging. The objective of this review was to determine and assess the current state of research throughout Amazonia on the subject of logging impacts.
This paper addresses a forest harvesting problem with adjacency constraints, including additional environmental constraints to protect wildlife habitats and minimize infrastructure deployment costs. To this end, we propose an integer programming model to include those considerations during the optimization of the harvest regime of a Mexican forest.
Over the last 10 to 15 years, bioeconomy (BE) has evolved to a widely accepted alternative to the dominant use of finite raw materials around the globe. One of the essential prerequisites for the sustainable implementation of this future-oriented economic system is the consideration of spatial framework conditions.
Because the relationship between cultivated land and the surrounding land types is not taken into account, there existed a deviation in the assessment of cultivated landscape ecological security.
Land administration and management systems (LAMSs) have already made progress in the field of 3D Cadastre and the visualization of complex urban properties to support property markets and provide geospatial information for the sustainable management of smart cities.
In recent years, the rapid improvement in the urbanization level of the Central Plains urban agglomeration is bound to bring about significant changes in urban land expansion and economic development.
With the intensification of the contradiction between living space and population growth, it is necessary to improve the effectiveness of urban residential land allocation.
Ensuring compliance with China’s “1.8 billion mu” (120 million hectares) cultivated land preservation policy is a fundamental goal of land policy. Northeast China has experienced significant cultivated land expansion due to rigorous compensation policies over the past two decades, resulting in sustainable increases in grain output.
Since the global crises in the 2000s, many foreign and domestic actors have acquired large tracts of land for food and biofuel crop cultivation and other purposes in Africa, often leading to the displacement of the African people living on customary land.
This paper addresses a forest harvesting problem with adjacency constraints, including additional environmental constraints to protect wildlife habitats and minimize infrastructure deployment costs. To this end, we propose an integer programming model to include those considerations during the optimization of the harvest regime of a Mexican forest.
