GRID Sampling for a Global Rapid Biodiversity Assessment: Methods, Applications, Results, and Lessons Learned

2015 ◽  
pp. 435-459
Author(s):  
Dirk Nemitz ◽  
Falk Huettmann
2012 ◽  
Vol 3 (4) ◽  
pp. 613-623 ◽  
Author(s):  
Douglas W. Yu ◽  
Yinqiu Ji ◽  
Brent C. Emerson ◽  
Xiaoyang Wang ◽  
Chengxi Ye ◽  
...  

1989 ◽  
Vol 33 (20) ◽  
pp. 1471-1475
Author(s):  
Richar E. Christ ◽  
Allen L. Zaklad ◽  
Alvah C. Bittner ◽  
Susan G. Hill ◽  
Paul M. Linton

The Operator Workload (OWL) Program is a just-completed, three-year, basic and applied research effort sponsored by the Army Research Institute (ARI). As part of the Army's research thrust into workload, the OWL Program was directed to establish guidance for the assessment of OWL associated with the operation of Army systems. Its intent was to identify and integrate the most relevant of workload research into a set of practicable workload assessment methods for Army developers, and then apply and validate these methods on selected Army systems. Lessons learned from OWL studies of these systems formed the basis for guidance for Army system developers. This paper overviews the objectives, the accomplishments, and the future prospects of the OWL Program.


2020 ◽  
Author(s):  
Devaka Weerakoon ◽  
Sampath De A. Goonatilake ◽  
Tharanga Wijewickrama ◽  
Arjan Rajasuriya ◽  
Naalin Perera ◽  
...  

After the 30-year long civil war was over, the Government of Sri Lanka commenced an accelerated programme to develop the Northern Province. If not carefully planned, such a programme will result in the loss of biodiversity and the consequent loss of services that ecosystems provide humans. Therefore, documenting the biodiversity found within coastal, nearshore and offshore islands of the Northern Province was identified as a need that would help both planners and conservation biologists alike. This report presents the results of a rapid biodiversity assessment of a 949 km stretch from Mannar to the Kokkilai Lagoon, including 22 coastal islands, five coastal stretches and four lagoons, extending across four districts (Jaffna, Mannar, Kilinochchi and Mullaittivu), 20 Divisional Secretariats Divisions and 264 Grama Niladhari Divisions. For terrestrial ecosystems, assessments were carried out during November 2015 and March 2016, and for marine surveys in the coastal waters of Palk Bay and Palk Strait, during November 2015 and March 2016.


One Ecosystem ◽  
2020 ◽  
Vol 5 ◽  
Author(s):  
Davide Geneletti ◽  
Blal Adem Esmail ◽  
Chiara Cortinovis ◽  
Ildikó Arany ◽  
Mario Balzan ◽  
...  

This paper analyses and compares a set of case studies on ecosystem services (ES) mapping and assessment with the purpose of formulating lessons learned and recommendations. Fourteen case studies were selected during the EU Horizon 2020 “Coordination and Support Action” ESMERALDA to represent different policy- and decision-making processes throughout the European Union, across a wide range of themes, biomes and scales. The analysis is based on a framework that addresses the key steps of an ES mapping and assessment process, namely policy questions, stakeholder identification and involvement, application of mapping and assessment methods, dissemination and communication and implementation. The analysis revealed that most case studies were policy-orientated or gave explicit suggestions for policy implementation in different contexts, including urban, rural and natural areas. Amongst the findings, the importance of starting stakeholder engagement early in the process was confirmed in order to generate interest and confidence in the project and to increase their willingness to cooperate. Concerning mapping and assessment methods, it was found that the integration of methods and results is essential for providing a comprehensive overview from different perspectives (e.g. social, economic). Finally, lessons learned for effective implementation of ES mapping and assessment results are presented and discussed. Graphical Abstarcat in Fig. 1.


2020 ◽  
Author(s):  
Kamil Hupało ◽  
Markus Majaneva ◽  
Molly Victoria Czachur ◽  
Lucas Sire ◽  
Daniel Marquina ◽  
...  

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