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Land management: data availability and process understanding for global change studies.

Karl-Heinz Erb1, Sebastiaan Luyssaert2,3, Patrick Meyfroidt4,5

  • 1Institute of Social Ecology Vienna (SEC), Alpen-Adria Universitaet Klagenfurt, Wien, Graz, Schottenfeldgasse 29, Vienna, 1070, Austria.

Global Change Biology
|July 23, 2016
PubMed
Summary
This summary is machine-generated.

Understanding land management is key to addressing global sustainability challenges. While some activities like harvest and irrigation are well-understood, others require more research and data for accurate Earth system modeling.

Keywords:
data availabilityearth system modelsglobal land-use data setsland managementland-cover modificationprocess understanding

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Area of Science:

  • Earth System Science
  • Land System Science
  • Ecological Research

Background:

  • Global sustainability challenges necessitate understanding Earth system dynamics.
  • Knowledge gaps persist regarding human-induced land management impacts on terrestrial ecosystems, especially non-conversion changes.

Purpose of the Study:

  • To review the state of knowledge on ten common land management activities.
  • To assess their biogeochemical and biophysical impacts, process understanding, and data availability.
  • To identify research priorities for incorporating land management into Earth system models.

Main Methods:

  • Systematic review of ten common land management activities.
  • Categorization of activities based on data availability and knowledge base.
  • Analysis of impacts, process understanding, and data gaps.

Main Results:

  • Approximately one-tenth of ice-free land experiences intense management, with half under medium and one-fifth under extensive management.
  • Activities clustered into three groups: (i) well-understood with available data (harvest, irrigation); (ii) sufficient knowledge but lacking data (forest harvest, fertilization, grazing); (iii) poor understanding and data (tillage, fire management).

Conclusions:

  • Despite impediments, current knowledge and data suffice for integrating land management into Earth system and dynamic vegetation models.
  • This review aids in prioritizing research efforts across disciplines to systematically assess land management's role in the Earth system.