The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management

被引:55
作者
Webb, Nicholas P. [1 ]
Herrick, Jeffrey E. [1 ]
Van Zee, Justin W. [1 ]
Courtright, Ericha M. [1 ]
Hugenholtz, Christopher H. [2 ]
Zobeck, Ted M. [3 ]
Okin, Gregory S. [4 ]
Barchyn, Thomas E. [2 ]
Billings, Benjamin J. [5 ]
Boyd, Robert [6 ]
Clingan, Scott D. [1 ]
Cooper, Brad F. [1 ]
Duniway, Michael C. [7 ]
Derner, Justin D. [8 ]
Fox, Fred A. [9 ]
Haystad, Kris M. [1 ]
Heilman, Philip [10 ]
LaPlante, Valerie [1 ]
Ludwig, Noel A. [11 ]
Metz, Loretta J. [12 ]
Nearing, Mark A. [10 ]
Norfleet, M. Lee [12 ]
Pierson, Frederick B. [13 ]
Sanderson, Matt A. [14 ]
Sharratt, Brenton S. [15 ]
Steiner, Jean L. [16 ]
Tatarko, John [9 ]
Tedela, Negussie H. [5 ]
Toledo, David [14 ]
Unnasch, Robert S. [17 ]
Van Pelt, R. Scott [18 ]
Wagner, Larry [9 ]
机构
[1] USDA ARS Jornada Expt Range, Las Cruces, NM 88003 USA
[2] Univ Calgary, Dept Geog, Calgary, AB T2N 1N4, Canada
[3] USDA ARS Wind Eros & Water Conservat Unit, Lubbock, TX 79415 USA
[4] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
[5] Bur Land Management, San Luis Valley Field Off, Monte Vista, CO 81144 USA
[6] Bur Land Management, Natl Operat Ctr, Denver, CO 80225 USA
[7] US Geol Survey, Southwest Biol Sci Ctr, Moab, UT 84532 USA
[8] USDA ARS Rangeland Resources Res Unit, Cheyenne, WY 82009 USA
[9] USDA ARS Agr Syst Res Unit, Ft Collins, CO 80526 USA
[10] USDA ARS Southwest Watershed Res Ctr, Tucson, AZ 85719 USA
[11] Bur Land Management, Calif Desert Dist Off, Moreno Valley, CA 92553 USA
[12] USDA NRCS Resource Assessment Div, CEAP Modeling Team, Temple, TX 76502 USA
[13] USDA ARS Northwest Watershed Res Ctr, Boise, ID 83712 USA
[14] USDA ARS Northern Great Plains Res Lab, Mandan, ND 58554 USA
[15] USDA ARS Northwest Sustainable Agroecosyst Res Un, Pullman, WA 99164 USA
[16] USDA ARS Grazinglands Res Lab, El Reno, OK 73036 USA
[17] Nature Conservancy, Boise, ID 83702 USA
[18] USDA ARS Wind Eros & Water Conservat Unit, Big Spring, TX 79720 USA
基金
美国国家科学基金会;
关键词
Wind erosion; Aeolian; Dust emission; Monitoring; Network; Long-Term Agroecosystem Research; UNITED-STATES; PREDICTION MODELS; DUST DEPOSITION; TRANSPORT; AGRICULTURE; ASSESSMENTS; LANDSCAPES; INVENTORY; DYNAMICS; VELOCITY;
D O I
10.1016/j.aeolia.2016.05.005
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The National Wind Erosion Research Network was established in 2014 as a collaborative effort led by the United States Department of Agriculture's Agricultural Research Service and Natural Resources Conservation Service, and the United States Department of the Interior's Bureau of Land Management, to address the need for a long-term research program to meet critical challenges in wind erosion research and management in the United States. The Network has three aims: (1) provide data to support understanding of basic aeolian processes across land use types, land cover types, and management practices, (2) support development and application of models to assess wind erosion and dust emission and their impacts on human and environmental systems, and (3) encourage collaboration among the aeolian research community and resource managers for the transfer of wind erosion technologies. The Network currently consists of thirteen intensively instrumented sites providing measurements of aeolian sediment transport rates, meteorological conditions, and soil and vegetation properties that influence wind erosion. Network sites are located across rangelands, croplands, and deserts of the western US. In support of Network activities, http://winderosionnetwork.org was developed as a portal for information about the Network, providing site descriptions, measurement protocols, and data visualization tools to facilitate collaboration with scientists and managers interested in the Network and accessing Network products. The Network provides a mechanism for engaging national and international partners in a wind erosion research program that addresses the need for improved understanding and prediction of aeolian processes across complex and diverse land use types and management practices. Published by Elsevier B.V.
引用
收藏
页码:23 / 36
页数:14
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