Integrated Grid Based Ecological and Economic (INGRID) landscape model – A tool to support landscape management decisions

2007 ◽  
Vol 22 (2) ◽  
pp. 177-187 ◽  
Author(s):  
M. Rudner ◽  
R. Biedermann ◽  
B. Schröder ◽  
M. Kleyer
Keyword(s):  
Landscape Management ◽  
Landscape Model ◽  
Management Decisions ◽  
Grid Based

scholarly journals Improving the management of Japanese knotweed s.l.: a response to Jones and colleagues

NeoBiota ◽  
2020 ◽  
Vol 63 ◽  
pp. 147-153
Author(s):  
François-Marie Martin ◽  
Fanny Dommanget ◽  
André Evette
Keyword(s):  
Spatial Scale ◽  
Landscape Management ◽  
Clonal Plants ◽  
Context Dependency ◽  
Japanese Knotweed ◽  
Management Decisions ◽  
Control Option

In a recent paper, Jones et al. (2020a) claimed that we recommended the use of mowing for the “landscape management of invasive knotweeds” in an article we published earlier this year (i.e. Martin et al. 2020), a recommendation with which they strongly disagreed. Since we never made such a recommendation and since we think that, in order to successfully control invasions by Japanese knotweed s.l. taxa (Reynoutria spp.; syn. Fallopia spp.), stakeholders need to acknowledge the general complexity of the management of invasive clonal plants, we would like to (i) clarify the intentions of our initial article and (ii) respectfully discuss some of the statements made by Daniel Jones and his colleagues regarding mowing and knotweed management in general. Although we agree with Jones et al. that some ill-advised management decisions can lead to “cures worse than the disease”, our concern is that the seemingly one-sided argumentation used by these authors may mislead managers into thinking that a unique control option is sufficient to tackle knotweed invasions in every situation or at any given spatial scale, when it is generally admitted that management decisions should account for context-dependency (Wittenberg and Cock 2001; Pyšek and Richardson 2010; Kettenring and Adams 2011).

scholarly journals Finding shared solutions in landscape or natural resource management through social learning: A quasi-experimental evaluation in an Alpine region

2021 ◽  
Author(s):  
Matthias Buchecker ◽  
Marius Fankhauser ◽  
Raphael Gaus
Keyword(s):  
Resource Management ◽  
Social Learning ◽  
Water Resource Management ◽  
Landscape Management ◽  
Alpine Region ◽  
Participatory Process ◽  
Management Decisions ◽  
Quasi Experimental ◽  
Deliberative Processes

Abstract Context The implementation of landscape-management decisions is often blocked because actors disagree in their perception of the problem at hand. These conflicts can be explained with the concept of problem framing, which argues that actors’ problem perspectives are shaped by their interests. Recent literature suggests that social learning through deliberative processes among actors enables shared solutions to complex landscape-management conflicts. Methods To examine these assumptions, a participatory process on integrated water-resource-management in a Swiss Alpine region was systematically evaluated using a quasi-experimental intervention-research design. The involved actors’ problem perspectives were elicited before and after the participatory processes using qualitative interviews and standardized questionnaires. Furthermore, a standardized survey was sent to a sample of regional residents (N = 2000) after the participatory process to measure the diffusion of actors’ social learning to the wider public. Results The data analysis provided systematic evidence that a convergence of involved actors’ problem perspectives, which were found to differ considerably before the intervention, had taken place during the participatory process. Furthermore, it determined diffusion effects of actors’ social learning to the wider public in terms of its attitude towards participatory regional planning. Conclusions The findings confirm the expected mechanism of social learning through deliberative processes and demonstrate it as a promising approach to implementing landscape-management decisions successfully. The catalyzing role of shared interests among actors suggests that landscape-management decisions should be implemented by participatory integrated planning on the regional level, which would require a new, strategic role of regional institutions.

Development of a grid-based version of the SWAT landscape model

2014 ◽  
Vol 29 (6) ◽  
pp. 900-914 ◽  
Author(s):  
H. Rathjens ◽  
N. Oppelt ◽  
D. D. Bosch ◽  
J. G. Arnold ◽  
M. Volk
Keyword(s):  
Landscape Model ◽  
Grid Based

Assessing the Use of Age-Equivalent Scores in Clinical Management

1992 ◽  
Vol 23 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Carol W. Lawrence
Keyword(s):  
Case Management ◽  
Clinical Management ◽  
Management Decisions ◽  
Language Deficits

Speech-language evaluation reports from many institutions present age-equivalent scores as the evidence for speech-language deficits. Yet, the value and interpretation of this measurement criterion requires clinical scrutiny. This article reviews the concept and derivation of age-equivalent scores and presents arguments against their use in case management decisions.

Management decisions in chronic myeloid leukemia

2003 ◽  
Vol 40 (1) ◽  
pp. 97-103 ◽  
Author(s):  
John M. Goldman ◽  
David Marin
Keyword(s):  
Chronic Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Management Decisions

Data Management in an Epidemiological Study : Experiences from the Iowa 500 Field Follow-up and Family Study

1980 ◽  
Vol 19 (01) ◽  
pp. 37-41
Author(s):  
R. F. Woolson ◽  
M. T. Tsuang ◽  
L. R. Urban
Keyword(s):  
Data Management ◽  
Epidemiological Study ◽  
Family Study ◽  
Data Sets ◽  
Data Handling ◽  
Management Decisions ◽  
Numerous Data ◽  
Made In

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.

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