Steering operational synergies in terrestrial observation networks: opportunity for advancing Earth system dynamics modelling

被引:26
作者
Baatz, Roland [1 ,26 ]
Sullivan, Pamela L. [2 ]
Li, Li [3 ]
Weintraub, Samantha R. [4 ]
Loescher, Henry W. [4 ,5 ]
Mirtl, Michael [6 ]
Groffman, Peter M. [7 ]
Wall, Diana H. [8 ,9 ,10 ]
Young, Michael [11 ,20 ]
White, Tim [12 ,13 ]
Wen, Hang [3 ]
Zacharias, Steffen [14 ]
Kuehn, Ingolf [15 ,16 ]
Tang, Jianwu [17 ]
Gaillardet, Jerome [18 ]
Braud, Isabelle [19 ]
Flores, Alejandro N. [20 ]
Kumar, Praveen [21 ,22 ]
Lin, Henry [23 ]
Ghezzehei, Teamrat [24 ]
Jones, Julia [25 ]
Gholz, Henry L. [4 ]
Vereecken, Harry [1 ,26 ]
Van Looy, Kris [1 ,26 ]
机构
[1] Forschungszentrum Julich, Inst Bio & Geosci, Agrosphere, D-52425 Julich, Germany
[2] Univ Kansas, Dept Geog & Atmospher Sci, Lawrence, KS 66045 USA
[3] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA
[4] NEON, Battelle, Boulder, CO 80301 USA
[5] Univ Colorado, Inst Alpine & Arctic Res, Boulder, CO 80301 USA
[6] EAA, Dept Ecosyst Res, Spittelauer Lande 5, A-1090 Vienna, Austria
[7] CUNY, Grad Ctr, Adv Sci Res Ctr, New York, NY 10031 USA
[8] Dept Biol, Ft Collins, CO 80523 USA
[9] Sch Global Environm Sustainabil, Ft Collins, CO 80523 USA
[10] Sci Chair Global Soil Biodivers Initiat, Ft Collins, CO USA
[11] Univ Texas Austin, Bur Econ Geol, Austin, TX USA
[12] Penn State Univ, Earth & Environm Syst Inst, University Pk, PA 16802 USA
[13] CZO Natl Off, US NSF Crit Zone Observ CZO Program, Boulder, CO USA
[14] UFZ Helmholtz Ctr Environm Res, Dept Monitoring & Explorat Technol, Permoserstr 15, D-04318 Leipzig, Germany
[15] UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, Theodor Lieser Str 4, D-06120 Halle, Germany
[16] German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, D-04103 Leipzig, Germany
[17] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA
[18] Univ Paris Diderot, CNRS, Sorbonne Paris Cite, IPGP, F-75231 Paris, France
[19] Irstea, Lyon Villeurbanne Ctr, UR RiverLy, F-69625 Villeurbanne, France
[20] Boise State Univ, Dept Geosci, Boise, ID 83725 USA
[21] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[22] Univ Illinois, Dept Atmospher Sci, 105 S Gregory Ave, Urbana, IL 61801 USA
[23] Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA
[24] Univ Calif Merced, Life & Environm Sci, Merced, CA USA
[25] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA
[26] Sci Coordinat Off Int Soil Modelling Consortium I, Julich, Germany
基金
美国国家科学基金会;
关键词
TERM ECOLOGICAL RESEARCH; CRITICAL ZONE OBSERVATORIES; RESEARCH LTER NETWORK; SOIL BIODIVERSITY; DATA ASSIMILATION; CLIMATE-CHANGE; BIG DATA; LAND-USE; ECOSYSTEM; SCIENCE;
D O I
10.5194/esd-9-593-2018
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Advancing our understanding of Earth system dynamics (ESD) depends on the development of models and other analytical tools that apply physical, biological, and chemical data. This ambition to increase understanding and develop models of ESD based on site observations was the stimulus for creating the networks of Long-Term Ecological Research (LTER), Critical Zone Observatories (CZOs), and others. We organized a survey, the results of which identified pressing gaps in data availability from these networks, in particular for the future development and evaluation of models that represent ESD processes, and provide insights for improvement in both data collection and model integration. From this survey overview of data applications in the context of LTER and CZO research, we identified three challenges: (1) widen application of terrestrial observation network data in Earth system modelling, (2) develop integrated Earth system models that incorporate process representation and data of multiple disciplines, and (3) identify complementarily in measured variables and spatial extent, and promoting synergies in the existing observational networks. These challenges lead to perspectives and recommendations for an improved dialogue between the observation networks and the ESD modelling community, including co-location of sites in the existing networks and further formalizing these recommendations among these communities. Developing these synergies will enable cross-site and cross-network comparison and synthesis studies, which will help produce insights around organizing principles, classifications, and general rules of coupling processes with environmental conditions.
引用
收藏
页码:593 / 609
页数:17
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