Rebuilding Vietnam's War-Torn Forests: Vietnam Was Once a Land of Dense Forest. but Nearly Two-Thirds of Its Tree Cover Was Destroyed by War, Overharvesting and Clearing for Agriculture. Today, Trees Are on the Way Back with the Vietnamese Government Committed to Planting Five Million Hecta...
Lush mountains, dense forests, green grasslands, trickling streams, as well as yaks and sheep at the Qunjia National Forest Park in the Huangzhong district of Xining, capital city of northwest China's Qinghai province, create beautiful idyllic scenery in the early autumn. The park is also an ...
In the Caribbean island of Puerto Rico, rapid land-use changes over the past century have included recent land-cover conversion to urban/built-up lands. Observations of this land development adjacent to reserves or replacing dense forest call into question how the changes relate to forests or res...
HONG KONG, Feb. 2 (Xinhua) -- It is winter, the most "crowded" time of the year in Mai Po. At the edge of a dense mangrove forest, tens of thousands of various kinds of birds are hovering above the surface of an extensive bay. Friday marks the 28th World Wetlands Day. Located on...
To a large extent, the Australia of 1788 was characterised not by forests but by open woodlands and grasslands. Yet many of these areas now contain dense forest. Possible explanations for this dramatic vegetational shift include the cessation of Aboriginal burning regimes and the displacement by ...
We estimate that an area of 82 billion m2 has been developed into croplands in the Southeast Asian highlands. Some portion of this land-use change is probably attributable to agricultural intensification on formerly swidden agriculture lands; however, a substantial proportion is from new forest loss...
Considering the case of a so-called FT in Thừa Thiên Huế Province in tropical Central Vietnam, we investigated 1.) whether such a ‘FT’ indeed reflects a resurgence of genuine forest, 2.) whether the land cover changes can be explained through conventional ‘pathways’ of FT, and...
A random forest algorithm-based machine learning approach has been used in this study to generate a high-resolution (~2 km) global map of land subsidence. The global subsidence model16 was designed to predict subsidence in three classes: <1 cm/year, 1–5 cm/year, and >5 cm/yea...
African forest are increasingly in decline as a result of land-use conversion due to human activities. However, a consistent and detailed characterization and mapping of land-use change that results in forest loss is not available at the spatial-temporal
Temporal and spatial change of habitat quality and its driving forces: The case of Tacheng region, China The change in land use type directly affected the change in habitat quality. The study region is located in an arid area; the forest land and ... Yisong Ge,Chengzhi Li,Taifan Zhang,...