scholarly journals Soil Governance: Accessing Cross-Disciplinary Perspectives

Author(s):  
Tanya Marjoram Howard ◽  
Andrew Lawson

Soil provides the foundation for agricultural and environmental systems, and are subject to a complex governance regime of property rights and secondary impacts from industry and domestic land use. Complex natural resource management issues require approaches to governance that acknowledge uncertainty and complexity. Theories of next generation environmental governance assume that inclusion of diverse perspectives will improve reform directions and encourage behaviour change. This paper reports on a qualitative survey of an international workshop that brought together cross-disciplinary perspectives to address the challenges of soil governance. Results reveal the challenges of communicating effectively across disciplines. The findings suggest that strategies for improved soils governance must focus on increasing communications with community stakeholders and engaging land managers in designing shared governance regimes. The need for more conscious articulation of the challenges of cross-disciplinary environments is discussed and strategies for increasing research collaboration in soils governance are suggested. The identified need for more systematic approaches to cross-disciplinary learning, including reporting back of cross-disciplinary initiatives to help practitioners learn from past experience, forms part of the rationale for this paper.

2016 ◽  
Vol 21 (3) ◽  
pp. 189-202 ◽  
Author(s):  
Corey Jager ◽  
Michael Paul Nelson ◽  
Lissy Goralnik ◽  
Meredith L. Gore

2009 ◽  
Vol 40 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Michael Lockwood ◽  
Julie Davidson ◽  
Allan Curtis ◽  
Elaine Stratford ◽  
Rod Griffith

2007 ◽  
Vol 38 (2) ◽  
pp. 185-194 ◽  
Author(s):  
Olivier Barreteau ◽  
Christophe Le Page ◽  
Pascal Perez

2018 ◽  
Vol 44 (2) ◽  
pp. 263-290 ◽  
Author(s):  
Kristoffer Whitney

This article examines adaptive resource management (ARM) as it has been applied to the US horseshoe crab fishery over the past decade. As a critical yet constructive exercise, I have three goals: to suggest how adaptive management, for all its promise, can still be improved; to add a nuanced case study to the literatures on the quantification of nature and environmental decision-making; and to use the example of ARM to make certain temporal aspects of contemporary natural resource management more salient to science and technology studies scholars—that is, to show the ways in which time matters in environmental science, policy, and the analysis thereof. I draw attention to the time-related aspects of adaptive management by developing the notions of temporal orientation and chronological accountability. Temporal orientation refers to the time-based perspectives and epistemological commitments—that is, past-facing empiricism versus future-oriented modeling—that scientists of different types bring to bear on environmental problems. Chronological accountability refers to the missing link in adaptive forms of environmental governance: firm time lines and commitments to reflexively revisit management decisions. The time-related aspects of natural resource management deserve greater attention among both environmental managers and analysts of environmental policy.


Author(s):  
Maurizio Nolé ◽  
Carlo Sartiani

 In the recent years many real-world applications have been modeled by graph structures (e.g., social networks, mobile phone networks, web graphs, etc.), and many systems have been developed to manage, query, and analyze these datasets. These systems could be divided into specialized graph database systems and large-scale graph analytics systems. The first ones consider end-to-end data management issues including storage representations, transactions, and query languages, whereas the second ones focus on processing specific tasks over large data graphs. In this paper we provide an overview of several  graph database systems and graph processing systems, with the aim of assisting the reader in identifying the best-suited solution for her application scenario.


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