Emerging technological and cultural shifts advancing drylands research and management

Frontiers in Ecology and the Environment

Volumn 13, Issue 1, 2015, Pages 52-60

  Browning, Dawn M ^a   Rango, Albert ^a   Karl, Jason W ^a   Laney, Christine M ^b   Vivoni, Enrique R ^c   Tweedie, Craig E ^b  

^a NEW MEXICO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT EL PASO   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; COMMUNICATION; DRYLAND FARMING; INTERDISCIPLINARY APPROACH; SPATIAL ANALYSIS; SUSTAINABLE DEVELOPMENT;

EID: 84961323983     PISSN: 15409295     EISSN: 15409309     Source Type: Journal    
DOI: 10.1890/140161     Document Type: Review

References (58)

1. Aanensen DM, Huntley DM, Feil EJ, et al. 2009. EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS ONE 4:e6968.
2. Anderson K and Gaston KJ. 2013. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front Ecol Environ 11:138-46.
3. Aquino-Santos R, Gonzalez-Potes A, Edwards-Block A, and Virgen-Ortiz RA. 2011. Developing a new wireless sensor network platform and its application in precision agriculture. Sensors 11:1192-211.
4. Barseghian D, Altintas I, Jones MB, et al. 2010. Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecol Inform 5:42-50.
5. Benson BJ, Bond BJ, Hamilton MP, et al. 2010. Perspectives on next-generation technology for environmental sensor networks. Front Ecol Environ 8:193-200.
6. Bestelmeyer BT, Goolsby DP, and Archer SR. 2011. Spatial perspectives in state-and-transition models: a missing link to land management? J Appl Ecol 48:746-57.
7. BLM (Bureau of Land Mangement) and USFS (US Forest Service). 2014-The greater sage-grouse monitoring framework. https://www.blm.gov/epl-front-office/projects/lup/21152/4842 l/52584/GRSG-FINAL-Monitoring-Framework-0140530.pdf. Viewed 24 Dec. 2014.
8. Boehm B and Abts C. 1999. COTS integration: plug and pray? Computer 32:135-38.
9. Booth DT and Cox SE. 2008. Image-based monitoring to measure ecological change in rangeland. Front Ecol Environ 6:185-90.
10. Browning DM, Duniway MC, Laliberte AS, and Rango A. 2012. Hierarchical analysis of vegetation dynamics over 71 years: soil-rainfall interactions in a Chihuahuan desert ecosystem. Ecol Appl 22:909-26.
11. Cardei M and Wu J. 2006. Energy-efficient coverage problems in wireless ad-hoc sensor networks. Comput Commun 29:413-20.
12. Collins SL, Belnap J, Grimm NB, et al. 2014. A multiscale hierar-chial model of pulse dynamics in aridland ecosystems. Anna Rev Ecol Evol S 45:397-419.
13. Collins SL, Bettencourt LMA, Hagberg A, et al. 2006. New opportunities in ecological sensing using wireless sensor networks. Front Ecol Environ 4:402-07.
14. Cutler DR, Edwards Jr TC, Beard KH, et al. 2007. Random forests for classification in ecology. Ecology 88:2783-92.
15. Denny EG, Gerst KL, Miller-Rushing AJ, et al. 2014. Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications. Int J Biometeorol 58:591-601.
16. Foster D, Swanson F, Aber J, et al. 2003. The importance of land-use legacies to ecology and conservation. BioScience 53:77-88.
17. Green JL, Hastings A, Arzberger P, et al. 2005. Complexity in ecology and conservation: mathematical, statistical, and computational challenges. BioScience 55:501-10.
18. Hampton SE, Tewksbury JJ, and Strasser CA. 2012. Ecological data in the Information Age. Front Ecol Environ 10:59.
19. Herrick JE, Lessard VC, Spaeth KE, et al. 2010. National ecosystem assessments supported by scientific and local knowledge. Front Ecol Environ 8:403-08.
20. Herrick JE and Sarukhan J. 2007. A strategy for ecology in an era of globalization. Front Ecol Environ 5:172-81.
21. Herrick JE, Urama KC, Karl JW, et al. 2013. The global Land-Potential Knowledge System (LandPKS): supporting evidence-based, site-specific land use and management through cloud computing, mobile applications, and crowdsourcing. J Soil Water Conserv 68:5A-12A.
22. Hey T, Tansley S, and Tolle K (Eds). 2009. The fourth paradigm. Redmond, WA: Microsoft Research.
23. Hochstrasser T, Millington JDA, Papanastasis VP, et al. 2012. The study of land degradation in drylands: state of the art. In: Mueller EN, Wainwright J, Parsons AJ, and Turnbull L (Eds). Patterns of land degradation in drylands: understanding self-organized ecogeomorphic systems. Dordrecht, The Netherlands: Springer.
24. Johnson GW, Gaylord AG, Franco JC, et al. 2011. Development of the Arctic Research Mapping Application (ARMAP): interoperability challenges and solutions. Comput Geosci 37:1735-42.
25. Kao RH, Gibson CM, Gallery RE, et al. 2012. NEON terrestrial field observations: designing continental-scale, standardized sampling. Ecosphere 3: art115.
26. Karl JW, Duniway MC, Nusser SM, et al. 2012. Using very-large-scale aerial imagery for rangeland monitoring and assessment: some statistical considerations. Rangekind Ecol Manag 65:330-39.
27. Karl JW, Gillan JK, and Herrick JE. 2013a. Geographic searching for ecological studies: a new frontier. Trends Ecol Evol 28:383-84.
28. Karl JW, Herrick JE, Unnasch RS, et al. 2013b. Discovering ecologically relevant knowledge from published studies through geosemantic searching. BioScience 63:674-82.
29. Karl JW and Maurer BA. 2010. Multivariate correlations between imagery and field measurements across scales: comparing pixel aggregation and image segmentation. Landscape Ecol 25:591-605.
30. Laney CM, Baker KS, Peters DPC, and Ramsey KW. 2013. Recommendations for data accessibility. In: Peters DPC, Laney CM, Lugo AE, et al. (Eds). Long-term trends in ecological systems: a basis for understanding responses to global change. Washington, DC: USDA-ARS Publications.
31. MA (Millennium Ecosystem Assessment). 2005. Ecosystems and human well-being: desertification synthesis. Washington, DC: World Resources Institute.
32. Mackinnon WC, Toevs G, Spurrier C, and Taylor J. 2011. BLM core terrestrial indicators and methods. Washington, DC: US Department of the Interior, Bureau of Land Management, National Operations Center.
33. Merali Z. 2010. Computational science:... Error. Nature 467:775-77.
34. Michener WK and Jones MB. 2012. Ecoinformatics: supporting ecology as a data-intensive science. Trends Ecol Evol 27:85-93.
35. Mueller EN, Wainwright J, Parsons AJ, and Turnbull L (Eds). 2012. Patterns of land degradation in drylands: understanding self-organized ecogeomorphic systems. Dordrecht, The Netherlands: Springer.
36. Newman G, Wiggins A, Crall A, et al. 2012. The future of citizen science: emerging technologies and shifting paradigms. Front Ecol Environ 10:298-304.
37. NRCS (Natural Resources Conservation Service), BLM (Bureau of Land Management), USFS (US Forest Serivce), and USFWS (US Fish and Wildlife Service). 2011. Interagency agreement between the United States Department of Agriculture Natural Resources Conservation Service, and the USDA Forest Service, and the United States Department of the Interior Bureau of Land Management and the Fish and Wildlife Service. FS Agreement Number 11-1 A-11132400-104 www.blm.gov/style/medialib/blm/wo/Planning-and-Renewabl e-Re sources/fish-wildlife-and/sage-grouse. Par.6386. File.dat/MOU%20on%20Greater%20Sage-Grouse.pdf. Viewed 12 Dec. 2014.
38. Okin GS. 2008. A new model of wind erosion in the presence of vegetation. J Geophys Res 113:F02S10.
39. Pennington DD. 2007. Exploratory modeling of forest disturbance scenarios in central Oregon using computational experiments in GIS. Ecol Inform 2:387-403.
40. Peters DPC. 2010. Accessible ecology: synthesis of the long, deep, and broad. Trends Ecol Evol 25:592-601.
41. Peters DPC, Bestelmeyer BT, Herrick JE, et al. 2006. Disentangling complex landscapes: new insights into arid and semiarid system dynamics. BioScience 56:491-501.
42. Peters DPC, Bestelmeyer BT, and Turner MG. 2007. Cross-scale interactions and changing pattern-process relationships: consequences for system dynamics. Ecosystems 10:790-96.
43. Peters DPC, Havstad KM, Cushing J, et al. 2014a. Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology. Ecosphere 5: art67.
44. Peters DPC, Loescher HW, San Clements MD, and Havstad KM. 2014b. Taking the pulse of a continent: expanding site-based research infrastructure for regional- to continent-scale ecology. Ecosphere 5: art29.
45. Peters DPC, Pielke RA, Bestelmeyer BT, et al. 2004. Cross-scale interactions, nonlinearities, and forecasting catastrophic events. P Natl Acad Sci LJSA 101:15130-35.
46. Pregenzer A, Parmenter RR, Passe II H, et al. 2005. Sustainability in arid grasslands: new technology applications for management. In: Shachak M, Gosz JR, Pickett STA, and Perevolotsky A (Eds). Biodiversity in drylands: toward a unified framework. Oxford, UK: Oxford University Press.
47. Rango A, Laliberte A, Herrick JE, et al. 2009. Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management. J Appl Remote Sens 3:033542.
48. Reichman OJ, Jones MB, and Schildhauer MP. 2011. Challenges and opportunities of open data in ecology. Science 331:703-05.
49. Reynolds JF, Kemp PR, Ogle K, and Fernandez RJ. 2004. Modifying the "pulse-reserve" paradigm for deserts of North America: precipitation pulses, soil water, and plant responses. Oecologia 141:194-210.
50. Richardson AD, Jenkins JP, Braswell BH, et al. 2007. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152:323-34.
51. Richardson AD, Keenan TF, Migliavacca M, et al. 2013. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agr Forest Meteoroi 169:156-73.
52. Sayre NF, de Buys W, Bestelmeyer BT, and Havstad KM. 2012. "The range problem" after a century of rangeland science: new research themes for altered landscapes. Rangeland Ecol Manag 65:545-52.
53. Standish RJ, Hobbs RJ, Mayfield MM, et al. 2014. Resilience in ecology: abstraction, distraction, or where the action is? Biol Conserv 177:43-51.
54. Stiver SJ, Rinkes ET, Naugle DE, et al. Sage-grouse habitat assessment framework: a multiscale assessment tool. US Bureau of Land Management (BLM) Technical Report. Lakewood, CO: BLM National Operations Center. In press.
55. Templeton RC, Vivoni ER, Mendez-Barroso LA, et al. 2014. High-resolution characterization of a semiarid watershed: implications on evapotranspiration estimates. J Hydrol 509:306-19.
56. USFWS (US Fish and Wild life Service). 2013. Greater sage-grouse (Centrocercas urophitsianus) conservation objectives: final report. Denver, CO: USFWS.
57. Vivoni ER, Rango A, Anderson CA, et al. 2014. Ecohydrology with unmanned aerial vehicles. Ecosphere 5: art130.
58. Yahdjian L, Sala OE, and Havstad KM. 2015. Rangeland ecosystem services: shifting focus from supply to reconciling supply and demand. Front Ecol Environ 13:44-51.