Land (ISSN 2073-445X) is an international, scholarly, open access journal of land use and land management published quarterly online by MDPI.
Land Journal Resources
Tropical countries are now facing increasing global pressure to conserve tropical forests, while having to maintain cultivated lands (particularly shifting cultivation) for the subsistence of local people. To accomplish the effective conservation of tropical forests in harmony with subsistence shifting cultivation, we evaluated the influence of shifting cultivation on ecosystem services (i.e., biodiversity and carbon stock) at a landscape level based on three land-use scenarios.
This study examines the effects of different grazing systems in two neighboring regions with similar biotic and abiotic factors, Nalan Soum in Mongolia and Naren Soum in Inner Mongolia, China. We employed the quadrat sampling method and remote sensing to set three perpendicular lines that dissect the boundary between the two countries, and seven lines parallel to the boundary to form a rectangular shape as a means to compare plant community response to different grazing systems under natural conditions. NDVI data is included in discussing the causes of Mongolian grassland degradation.
Peer review is an essential part in the publication process, ensuring that Land maintains high quality standards for its published papers. In 2017, a total of 88 papers were published in the journal.[...]
An evaluation of landscape tradition, in Near and Middle East area, could emphasize a profound past of agricultural experience, as well as of landscape and garden art. In reference to this common past, Byzantine and Arabic landscape and garden art paradigms appear to be geographically and culturally correlated, as proved by a Byzantine 12th century folksong, presenting the construction of a villa, with its surrounding gardens and landscape formations, in the territory of Euphrates River.
Accounting for one quarter of China’s land area, the endorheic Shiyang River basin is a vast semi-arid to arid region in China’s northwest. Exploring the impact of changes in land use on this arid area’s carbon budget under global warming is a key component to global climate change research. Variation in the region’s soil carbon storage due to land use changes occurring between 1973 and 2012 was estimated. The results show that land use change has a significant impact on the soil carbon budget, with soil carbon storage having decreased by 3.89 Tg between 1973 and 2012.
In arid regions, oases ecosystems are fragile and sensitive to climate change, and water is the major limiting factor for environmental and socio-economic developments. Understanding the drivers of land use/cover change (LUCC) in arid regions is important for the development of management strategies to improve or prevent environmental deterioration and loss of natural resources.
Kenya is the most recent African state to acknowledge customary tenure as producing lawful property rights, not merely rights of occupation and use on government or public lands. This paper researches this new legal environment. This promises land security for 6 to 10 million Kenyans, most of who are members of pastoral or other poorer rural communities. Analysis is prefaced with substantial background on legal trends continentally, but the focus is on Kenya’s Community Land Act, 2016, as the framework through which customary holdings are to be identified and registered.
We live in an urbanizing world. Since 2008, more than half of humanity lives in cities, both large and small, and old and new.[...]
Transformation or modification of vegetation distribution and structure in arid riparian ecosystems can lead to the loss of ecological function. Mexico has 101,500,000 ha of arid lands, however there is a general lack of information regarding how arid riparian ecosystems are being modified.
Climate data availability plays a key role in development processes of policies, services, and planning in the agricultural sector. However, data at the spatial or temporal resolution required is often lacking, or certain values are missing. In this work, we propose to use a Bayesian network approach to generate data for missing variables. As a case study, we use relative humidity, which is an important indicator of land suitability for coffee production.