Forest Landscape Assessment Tool (FLAT): rapid assessment for land management

2016 ◽  
Author(s):  
Lisa Ciecko ◽  
David Kimmett ◽  
Jesse Saunders ◽  
Rachael Katz ◽  
Kathleen L. Wolf ◽  
...  
2014 ◽  
Vol 49 (4) ◽  
pp. 372-385
Author(s):  
Shawn Burdett ◽  
Michael Hulley ◽  
Andy Smith

A hydrologic and water quality model is sought to establish an approach to land management decisions for a Canadian Army training base. Training areas are subjected to high levels of persistent activity creating unique land cover and land-use disturbances. Deforestation, complex road networks, off-road manoeuvres, and vehicle stream crossings are among major anthropogenic activities observed to affect these landscapes. Expanding, preserving and improving the quality of these areas to host training activities for future generations is critical to maintain operational effectiveness. Inclusive to this objective is minimizing resultant environmental degradation, principally in the form of hydrologic fluctuations, excess erosion, and sedimentation of aquatic environments. Application of the Soil Water Assessment Tool (SWAT) was assessed for its ability to simulate hydrologic and water quality conditions observed in military landscapes at 5th Canadian Division Support Base (5 CDSB) Gagetown, New Brunswick. Despite some limitations, this model adequately simulated three partial years of daily watershed outflow (NSE = 0.47–0.79, R2 = 0.50–0.88) and adequately predicted suspended sediment yields during the observation periods (%d = 6–47%) for one highly disturbed sub-watershed in Gagetown. Further development of this model may help guide decisions to develop or decommission training areas, guide land management practices and prioritize select landscape mitigation efforts.


Koedoe ◽  
2013 ◽  
Vol 55 (1) ◽  
Author(s):  
Clinton Carbutt ◽  
Peter S. Goodman

The assessment of protected area management effectiveness was developed out of a genuine desire to improve the way protected areas are managed and reported on, in relation to a formalised set of conservation objectives. For monitoring and reporting purposes, a number of participatory methods of rapidly assessing management effectiveness were developed. Most rapid assessment methods rely on scoring a range of protected area-related activities against an objective set of criteria documented in a formal questionnaire. This study evaluated the results of two applications of the same management effectiveness assessment tool applied to the same protected area, namely the iSimangaliso Wetland Park, South Africa. The manner in which the assessments were undertaken differed considerably and, not unexpectedly, so did the results, with the national assessment scoring significantly higher than the provincial assessment. Therefore, a further aim was to evaluate the operating conditions applied to each assessment, with a view to determining which assessment was more closely aligned with best practice and hence which score was more credible. The application of the tool differed mainly with respect to the level of spatial detail entered into for the evaluation, the depth and breadth of the management hierarchy that was consulted, the time in which the assessment was undertaken and the degree of peer review applied. Disparate scores such as those obtained in the assessments documented here are likely to bring the discipline of management effectiveness assessment into disrepute unless an acceptable and standardised set of operating procedures is developed and adopted. Recommendations for such a set of ‘indispensable constants’ were made in this article to ensure that management effectiveness assessments remain robust and reputable, thereby ensuring an honest picture of what is happening on the ground. Conservation implications: We proposed that standard operating procedures should be in place when protected area management effectiveness assessments are undertaken, in order for the results to be credible. This involves ensuring that the right people participate and that each participant is allowed sufficient time to peer review each other.


Author(s):  
Jeffrey G. Arnold ◽  
Katrin Bieger ◽  
Michael J. White ◽  
Raghavan Srinivasan ◽  
John A. Dunbar ◽  
...  

Decision tables have been used for many years in data processing and business applications to simulate complex rule sets. Several computer languages have been developed based on rule systems and they are easily programmed in several current languages. Land management and river-reservoir models simulate complex land management operations and reservoir management in highly regulated river systems. Decision tables are a precise yet compact way to model the rule sets and corresponding actions found in these models. In this study, we discuss the suitability of decision tables to simulate management in the river basin scale Soil and Water Assessment Tool (SWAT+) model. Decision tables are developed to simulate automated irrigation and reservoir releases. A simple auto irrigation application of decision tables was developed using plant water stress as a condition for irrigating corn in Texas. Sensitivity of the water stress trigger and irrigation application amounts were shown on soil moisture and corn yields. In addition, the Grapevine Reservoir near Dallas, Texas was used to illustrate the use of decision tables to simulate reservoir releases. The releases were conditioned on reservoir volumes and flood season. The release rules as implemented by the decision table realistically simulated flood releases as evidenced by a daily NSE (Nash-Sutcliffe Efficiency) of 0.52 and a percent bias of -1.1%. Using decision tables to simulate management in land, river and reservoir models was shown to have several advantages over current approaches including: 1) mature technology with considerable literature and applications, 2) ability to accurately represent complex, real world decision making, 3) code that is efficient, modular and easy to maintain, and 4) tables that are easy to maintain, support, and modify.


Author(s):  
Stephen R. Mitroff ◽  
Justin M. Ericson ◽  
Benjamin Sharpe

Objective The study’s objective was to assess a new personnel selection and assessment tool for aviation security screeners. A mobile app was modified to create a tool, and the question was whether it could predict professional screeners’ on-job performance. Background A variety of professions (airport security, radiology, the military, etc.) rely on visual search performance—being able to detect targets. Given the importance of such professions, it is necessary to maximize performance, and one means to do so is to select individuals who excel at visual search. A critical question is whether it is possible to predict search competency within a professional search environment. Method Professional searchers from the USA Transportation Security Administration (TSA) completed a rapid assessment on a tablet-based X-ray simulator (XRAY Screener, derived from the mobile technology app Airport Scanner; Kedlin Company). The assessment contained 72 trials that were simulated X-ray images of bags. Participants searched for prohibited items and tapped on them with their finger. Results Performance on the assessment significantly related to on-job performance measures for the TSA officers such that those who were better XRAY Screener performers were both more accurate and faster at the actual airport checkpoint. Conclusion XRAY Screener successfully predicted on-job performance for professional aviation security officers. While questions remain about the underlying cognitive mechanisms, this quick assessment was found to significantly predict on-job success for a task that relies on visual search performance. Application It may be possible to quickly assess an individual’s visual search competency, which could help organizations select new hires and assess their current workforce.


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