Sentence examples for distinguished forest from inspiring English sources

Our finding that non-green surface components distinguished forest from non-forest via an LSMA approach may be widely applicable to studying forest conversions in Miombo Woodlands and other dry tropical forests.

The village developed a Land and Forest Allocation plan in the mid 1990s, which not only distinguished forest and non-forest boundaries, and defined management rules, but also recognized farmers' access to upland swidden and fallow on a customary basis though limiting farmers to three or four plots.

The forest inventory distinguished forests into "scientific" management categories, including conservation, and delineated these areas on official maps.

He pretended they were going for dinner with a distinguished doctor, took her to the forest of Fontainebleau and tried to kill her in the car.

The Jaimini Bhārata and the many versions of Rāmāyaṇa episodes (especially Sītā's abandonment in the forest) written by the distinguished Śaiva epic poet Lakṣĩīśa are known for their melodious verses and moving scenes.

The maximum tree diversity of studied forest communities had a distinguished latitudinal structure varying from typical 1 3 species encountered in the north taiga sites to 5 (occasionally 7) species encountered in south taiga and hemiboreal sites (Fig. 3a).

The reason that Mr. Roberts is a reporter, and a distinguished one, is that he can see the forest for the trees.

He adds, "America's public lands are an important part of our national heritage, a heritage that veterans have defended since Teddy Roosevelt -- himself a distinguished military veteran -- established our first national forests and monuments more than a century ago".

John Hemming, the distinguished historian of Brazilian Indians, has said that these forests are almost "the only place on earth where indigenous people can survive in isolation from the rest of mankind".

A comprehensive Federal report that was supposed to resolve the issue of how much damage is caused to forests by acid rain has come under criticism from some distinguished scientists who are reviewing it.

Multivariate classification algorithms distinguished breast cancer patients from the normal population with high accuracy (91.8% with random forest, 91.5% with support vector machine, 87.6% with linear discriminant analysis).