You are here

Keyword: rangeland

Timing It Right: Maximizing Range Management Effectiveness with PhenoMap

Documents and Media Posted on: January 27, 2021
PhenoMap is a new Web-based tool that managers can use to assess the production and location of high-quality forage. It uses satellite imagery to address the need for near-real-time information about plant life cycle events over large spatial areas. Document Type: Other Documents

Selecting native plants for restoration using rapid screening for adaptive traits: Methods and outcomes in a Great Basin case study

Publications Posted on: September 14, 2020
Partnerships between researchers and restoration practitioners can improve restoration outcomes, which is especially important for restoration in challenging settings. Here, we describe one such partnership in the Great Basin, United States, which used trait‐based methods and practitioner knowledge to identify the most promising seed sources for restoration.

Improving restoration success through a research and management partnership

Science Spotlights Posted on: September 01, 2020
Finding the best populations to use in restoration is a key part of project success. We present a case study of a partnership between scientists and restoration practitioners designed to select and screen local seed sources for large-scale restoration. 

An assessment of production trends on the Great Plains from 1984 to 2017

Publications Posted on: June 10, 2020
Throughout the Great Plains, aboveground annual net primary productivity (ANPP) is a critical ecosystem service supporting billions of dollars of commerce and countless stakeholders. Managers and producers struggle with high interannual change in ANPP, which often varies 40% between years due to fluctuating precipitation and drought.

A West-Wide Rangeland Fuel Assessment: Reading the Tea Leaves

Events Posted on: June 03, 2020
In this monthly recorded series, RMRS scientist Matt Reeves will analyze current rangeland fuel conditions across the west with emphasis on emerging hotspots.  

Plateaus science synthesis: A scientific foundation for future land management planning

Science Spotlights Posted on: May 08, 2020
The new publication, Northeastern California plateaus bioregion science synthesis (Gen. Tech. Rep. RMRS-GTR-409), has a northeastern California focus on sagebrush rangeland, dry pine forestland, juniper forests, habitat and wildlife, society, and response to disturbances, particularly those related to climate.

The west-wide fuelcasting system

Events Posted on: April 27, 2020
Fuelcasting is a new program that provides projections of expected fuel conditions this grazing season. It is an important component of the Rangeland Production Monitoring System. During the webinar, RMRS scientist Matt Reeves provided an overview of the system, demonstrated how to download and use the data, and discussed the 2020 fuel outlook with a focus on hotspots. 

Fuelcasting Webinar Transcript - April 16, 2020

Documents and Media Posted on: April 16, 2020
A transcript of the April 16, 2020 Fuelcasting webinar hosted by Matt Reeves.  Document Type: Other Documents, Transcripts

Aerial color and color infrared photography - some applications and problems for grazing resource inventories

Publications Posted on: February 12, 2020
Rangelands in the contiguous United States include over 1 billion acres that are not suitable for cultivated crop production. These lands, however, produce native forage for domestic and wild grazing animals. They also provide recreational and intangible natural beauty benefits and circumscribe the drainages of many river systems from which domestic and commercial water supplies are derived.

Identification and measurement of shrub type vegetation of large-scale aerial photographs

Publications Posted on: February 12, 2020
Important range-shrub species were identified at acceptable levels of accuracy on large-scale (1:600 to 1:1,500) 70 mm color and color infrared aerial photographs (positive transparencies). Identification of individual shrubs was significantly higher, however, on color infrared. Eight of 11 species were identified correctly more than 80 percent of the time on color infrared and two species were correctly identified 100 percent of the time.

Pages