Sentence examples for ancillary forest from inspiring English sources

The phrase "ancillary forest" is correct and usable in written English.
It can be used in contexts where you are referring to a forest that serves a secondary or supportive role, often in relation to a primary forest or ecosystem.
Example: "The conservation efforts will focus not only on the primary forest but also on the ancillary forest that supports local wildlife."
Alternatives: "supporting forest" or "secondary forest".

Exact(2)

We retrieved ancillary forest disturbance layers compiled by Mascorro et al. [55] and overlaid them with the VCT, Hansen, MODIS and INEGI RS observations.

We retrieved ancillary forest disturbance layers compiled by Mascorro et al. [ 55] and overlaid them with the VCT, Hansen, MODIS and INEGI RS observations.

Similar(58)

Additionally, for certain tests we brought in ancillary data on forest type, topographic position, and regional biomass time series.

The model also allows for compensation of ancillary benefits from forests.

Ancillary datasets included detailed information on forest inventory, forest type, forest status, ecological boundaries, age-class structure, and yield curves [59].

Ancillary datasets included detailed information on forest inventory, forest type, forest status, ecological boundaries, age-class structure, and yield curves [ 59].

At the tip of the sperm head is the acrosome, a specialized sack of enzymes that help the sperm penetrate through what Joseph S. Tash, a male fertility expert at the University of Kansas Medical Center, calls the "forest" of ancillary cells and connective tissue that surrounds the ripe, ready egg.

The Saatchi map is a CMS national-scale map derived using a combination of NASA remote sensing data, forest inventory and ancillary data (the same method as [25]).

This approach integrates RS data, forest inventory and ancillary datasets to attribute the land-cover change observations to the most likely disturbance type (natural or anthropogenic).

The Saatchi map is a CMS national-scale map derived using a combination of NASA remote sensing data, forest inventory and ancillary data (the same method as [ 25]).

Landsat TM satellite imagery, topographic and climate ancillary data are used to build binary (forest/non-forest) and multiclass (forest canopy cover classes) classification models, trained using sample aerial photograph maps, across Victoria, Australia.

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