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You searched for: Journal Rangelands Remove constraint Journal: Rangelands Publication Year 2011 Remove constraint Publication Year: 2011
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1. AGWA: the Automated Geospatial Watershed Assessment tool to inform rangeland management

Author:
Goodrich, David C.; Guertin, D. Phillip; Burns, I. Shea; Nearing, Mark A.; Stone, Jeffry J.; Wei, Haiyan; Heilman, Philip; Hernandez, Mariano; Spaeth, Ken; Paige, Ginger B.; Miller, Scott N.; Kepner, William G.; Ruyle, George; McClaran, Mitchel P.; Weltz, Mark; Jolley, Leonard; Pierson, Fred
Source:
Rangelands 2011 v.33 no.4 pp. 41-47
ISSN:
1551-501X
Subject:
range management; topography; decision support systems; rangelands; watersheds; soil erosion models; watershed hydrology; runoff; water erosion; Arizona
Abstract:
... Do you want a relatively easy to use tool to assess rangeland soil and water conservation practices on rangeland erosion that is specifically designed to use ecological information? Effective rangeland management requires the ability to assess the potential impacts of management actions on soil erosion and sediment yield at both the hillslope and watershed scales. Many of the current tools1 for as ...
Handle:
10113/4008970
DOI:
10.2111/1551-501X-33.4.41

2. Consistent indicators and methods and a scalable sample design to meet assessment, inventory, and monitoring information needs across scales

Author:
Gordon R. Toevs; Jason W. Karl; Jason J. Taylor; Carol S. Spurrier; Michael "Sherm" Karl; Matthew R. Bobo; Jeffrey E. Herrick
Source:
Rangelands 2011 v.33 no.4 pp. 14-20
ISSN:
0190-0528
Subject:
data collection; ecosystems; information dissemination; inventories; land management; monitoring; remote sensing; soil; vegetation
Abstract:
... Within the Bureau of Land Management (BLM), as in many land management agencies throughout the world, much effort is invested in monitoring and assessment for specific management needs. The BLM Assessment, Inventory, and Monitoring (AIM) Strategy was initiated, in part, to evaluate and make recommendations to improve the efficiency and effectiveness of monitoring activities. A goal of the AIM Stra ...
Handle:
10113/57498
DOI:
10.2111/1551-501x-33.4.14

3. The Database for Inventory, Monitoring, and Assessment (DIMA)

Author:
Ericha M. Courtright; Justin VanZee
Source:
Rangelands 2011 v.33 no. pp. 21-26
ISSN:
0190-0528
Subject:
Internet; computer software; data collection; databases; inventories; land management; managers; monitoring; soil; vegetation
Abstract:
... Land managers increasingly need to collect, store, and analyze monitoring and assessment datasets that include multiple methods and occur over multiple years. The Database for Inventory,Monitoring and Assessment (DIMA) is a highly customizable software tool for data collection, management, and interpretation. DIMA is a free Microsoft Access database that can be used easily without extensive knowle ...
Handle:
10113/58049
DOI:
10.2111/1551-501x-33.4.21

4. Image interpreter tool: An ArcGIS tool for estimating vegetation cover from high-resolution imagery

Author:
T. Scott Schrader; Michael C. Duniway
Source:
Rangelands 2011 v.33 no.4 pp. 35-40
ISSN:
0190-0528
Subject:
cacti and succulents; vegetation cover; trees; remote sensing; computer software; forbs; quality control; rocks; data collection; grasses; image analysis; managers; monitoring; botanical composition; canopy; shrubs; rangelands; plant litter; geographic information systems; color; land management; lichens
Abstract:
... Land managers need increased temporal and spatial resolution of rangeland assessment and monitoring data. However, with flat or declining land management and monitoring agency budgets, such increases in sampling intensity are unlikely unless new methods can be developed that capture data of key rangeland indicators at a lower cost. Remote sensing techniques have shown promise for collecting plant ...
Handle:
10113/57952
DOI:
10.2111/1551-501x-33.4.35

5. Rangeland Assessment and Monitoring Methods Guide

Author:
Jason W. Karl; Karen Colson; Heather Swartz
Source:
Rangelands 2011 v.33 no. pp. 48-54
ISSN:
0190-0528
Subject:
Internet; biologists; decision making; decision support systems; guidelines; managers; monitoring; rangelands; remote sensing; researchers; world wide web
Abstract:
... A common concern expressed by land managers and biologists is that they do not know enough about the strengths and weaknesses of different field and remote-sensing methods for rangeland assessment and monitoring. The Methods Guide is a web-based tool and resource that provides researchers and managers information necessary to make informed decisions about which field and remote-sensing method or c ...
Handle:
10113/58050
DOI:
10.2111/1551-501x-33.4.48

6. Vegetation Maps at the Passage of the Taylor Grazing Act (1934): A Baseline to Evaluate Rangeland Change After a Regime Shift

Author:
Rhonda Skaggs; Zach Edwards; Brandon Bestelmeyer; John B. Wright; Jeb Williamson; Phil Smith
Source:
Rangelands 2011 v.33 no.1 pp. 13-19
ISSN:
0190-0528
Subject:
base maps; grazing; public lands; rangelands; surveys; vegetation cover; New Mexico
Abstract:
... Data from New Mexico range survey maps created shortly after the passage of the Taylor Grazing Act in 1934 have been preserved and are being used to document changes in vegetation. The range survey data were collected at the time of a critical shift in rangeland policy and practice in federal lands of the United States. This paper describes the historical context of the post-Taylor range surveying ...
Handle:
10113/57491
DOI:
10.2111/rangelands-d-10-00031.1

7. A simple graphical approach to quantitative monitoring of rangelands

Author:
Corina Riginos; Jeffrey E. Herrick; Siva R. Sundaresan; Cary Farley; Jayne Belnap
Source:
Rangelands 2011 v.33 no.4 pp. 3-13
ISSN:
0190-0528
Subject:
monitoring; plant density; range management; rangelands; vegetation cover; vegetation structure
Abstract:
... Long-term monitoring is an essential part of good rangeland management - but is often overlooked because managers perceive it to be complicated, technical, or time-consuming. We introduce a quick, easy, and quantitative approach to monitoring changes in plant and ground cover, plant density, and vegetation structure. The only tools needed are a stick 1m long, a pencil, and the data sheet. For each ...
Handle:
10113/57759
DOI:
10.2111/1551-501x-33.4.6