Land Library
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Showing items 1 through 9 of 115.
Woodland expansion on a significant scale is widely seen to be critical if governments are to achieve their net zero greenhouse gas ambitions. The United Kingdom government is committed to expanding tree cover from 13% to at least 17% in order to achieve net zero by 2050.
Although renewable energy holds great promise in mitigating climate change, there are socioeconomic and ecological tradeoffs related to each form of renewable energy.
Issues relating to land are specifically referred to in five of the United Nations’ (UN) 17 Sustainable Development Goals, and UN-Habitat’s Global Land Tools Network views access to land and tenure security as key to achieving sustainable, inclusive and efficient cities.
The paper presents a conceptual model for the disposition of state agricultural land. The model is made as an extension of the Croatian Land Administration Domain Model (LADM) country profile.
Environmental services of biodiversity, clean water, etc., have been considered byproducts of farming and grazing, but population pressures and a move from rural to peri-urban areas are changing land use practices, reducing these services and increasing land degradation.
There is growing evidence that exposure to nature increases human well-being, including in urban areas. However, relatively few studies have linked subjective satisfaction to objective features of the environment.
According to the United Nations (UN) Refugee Agency, there were 79.5 million forcibly displaced people worldwide by the end of 2019. Evictions from homes and land are often linked to protracted violent conflict.
In a context of a rapidly changing livability of towns and countryside, climate change and biodiversity decrease, this paper introduces a landscape-based planning approach to regional spatial policy challenges allowing a regime shift towards a future land system resilient to external pressures.
A cadastre, as one of the key registers of land administration, must be maintained to provide up-to-date land information. Before digitization, technical and alphanumerical datasets were maintained separately, leading to redundant data.