Fire Planning for Wildlife Management - a Decision-Support System for Nadgee-Nature-Reserve, Australia

1994 ◽  
Vol 4 (2) ◽  
pp. 107 ◽  
Author(s):  
IA Baird ◽  
PC Catling ◽  
JR Ive

This paper describes a decision support system for generating fire management plans which address predefined wildlife management objectives for a nature conservation reserve. Given limited knowledge of how low intensity fire would affect wildlife species, the expert reasoning of researchers was used to postulate fire response curves showing how high intensity fire affects vegetation structure and hence wildlife population density through time. These fire response curves and knowledge of the habitat preferences of wildlife species provided the best available information upon which to frame decision rules advocating prescribed burning at low intensity to manipulate wildlife habitat. Decision rules were also framed for protecting recreation sites, limiting fire spread, and reducing the risk of wildfire ignition. Once the decision rules were quantified, the LUPIS land use planning and information system was used to derive and map burning options reflecting different wildlife management strategies.

SoftwareX ◽  
2021 ◽  
Vol 16 ◽  
pp. 100814
Author(s):  
Aleksandr Podvesovskii ◽  
Alena Zakharova ◽  
Dmitriy Korostelyov ◽  
Aleksandr Kuzin

1999 ◽  
Vol 14 (2) ◽  
pp. 91-99 ◽  
Author(s):  
Gary J. Roloff ◽  
Bruce Carroll ◽  
Steve Scharosch

Abstract We developed a decision support system to address wildlife habitat quality in the strategic forest planning process. The process involves projecting wildlife habitat attributes using a growth and yield model, combining the attributes into an index of structural habitat quality, generating yield tables of structural habitat quality that can be constrained or optimized in the forest planning model, and relating prescriptions for each forest planning analysis area back to the habitat attributes. The result is a map of habitat components. This mechanism is considered the first step in our wildlife habitat assessment procedure in that it focuses on within-stand or within-analysis area structures. Since many wildlife species depend on multiple stands or analysis areas and the spatial arrangement of habitat components to meet their life requisites, the second step in our habitat assessment procedure is to apply spatially explicit wildlife habitat models to the mapped planning solution. The decision support system offers the capability to evaluate the effects of alternative management strategies on wildlife habitat in the context of a forest planning model solution. West. J. Appl. For 14(2):91-99.


Author(s):  
A D Kirillova ◽  
V I Vasilyev ◽  
A V Nikonov ◽  
V V Berkholts

The problem of ensuring the information security of an automated process control system (APCS) is considered. An overview of the main regulatory documents on ensuring the safety of automated process control systems is given. For the operative solution of the tasks of ensuring information security of the automated control system of technological processes it is proposed to use an intelligent decision support system (DSS). An example of the construction and implementation of decision rules in the composition of the DSS based on the use of neurofuzzy models is considered.


1997 ◽  
Vol 102 (2-3) ◽  
pp. 287-300 ◽  
Author(s):  
Luis A. Garcia ◽  
Michael Armbruster

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.


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