scholarly journals Disentangling the multiple components of anuran diversity associated to different land-uses in Yungas forests, Argentina

2018 ◽  
Vol 21 (5) ◽  
pp. 396-404 ◽  
Author(s):  
L. C. Pereyra ◽  
M. S. Akmentins ◽  
M. Vaira ◽  
C. E. Moreno
Keyword(s):  
Land Uses ◽  
Multiple Components ◽  
Yungas Forests

Balancing trade-offs between biodiversity and production in the re-design of rangeland landscapes

2013 ◽  
Vol 35 (2) ◽  
pp. 143 ◽  
Author(s):  
C. M. Waters ◽  
T. D. Penman ◽  
R. B. Hacker ◽  
B. Law ◽  
R. P. Kavanagh ◽  
...  
Keyword(s):  
Policy Development ◽  
Multiple Scales ◽  
Structural Diversity ◽  
Land Uses ◽  
Development Tool ◽  
Multiple Components ◽  
Trade Offs ◽  
Pastoral Production ◽  
Production Value ◽  
Key Drivers

The conflict that exists between the competing needs of biological conservation and pastoral production is well recognised but few studies have examined these conflicts due to their complexity and the uncertainty that surrounds these relationships. The development of a Bayesian network model that examines the trade-offs between the conservation value of the landscape for a range of taxa (flora, mammals, birds and herpetofauna) and its primary production value under alternative land uses is described. The model emphasises structural diversity of vegetation and ecosystem productivity as key drivers of both biodiversity and agricultural production. Simple scenarios, used to examine the influence of different land uses on multiple components of biodiversity and agricultural productivity, demonstrated the potential for the analysis of the trade-offs associated with alternative landscape designs. The potential of the model, as a planning or policy development tool for land management agencies or regional Natural Resource Management bodies, at multiple scales, is identified.

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

The joint consequences of multiple components of statistical sampling designs

2002 ◽  
Vol 231 ◽  
pp. 309-314 ◽  
Author(s):  
CH Peterson ◽  
LL McDonald ◽  
RH Green ◽  
WP Erickson
Keyword(s):  
Statistical Sampling ◽  
Multiple Components

Beyond the Apnoea–Hypopnoea Index – Prognostic Value of Other Elements of Polysomnography to Describe Sleep-disordered Breathing in Heart Failure

2009 ◽  
Vol 5 (2) ◽  
pp. 53
Author(s):  
Philip B Adamson ◽  
Keyword(s):  
Heart Failure ◽  
Standard Method ◽  
Patient Population ◽  
Prognostic Value ◽  
Sleep Disordered Breathing ◽  
Treatment Success ◽  
Multiple Components ◽  
Severity Of The Disease ◽  
Disordered Breathing

There is increasing appreciation of the prevalence of sleep-disordered breathing (SDP) in heart failure. As we examine this patient population, the difficulties of determining success in the treatment of SDB are becoming evident. The apnoea–hypopnoea index (AHI) is the standard method of measuring both the severity of the disease and treatment success, but in itself is a composite of multiple components. This article examines both current and developing measurements in the treatment of SDB.

Wind speed data analysis for predictions of sea waves in Bitung Coastal Waters

2013 ◽  
pp. 35 ◽  
Author(s):  
Joanes E Koagouw ◽  
Gybert E Mamuaya ◽  
Adrie A Tarumingkeng ◽  
P A Angmalisang
Keyword(s):  
Data Analysis ◽  
Wind Speed ◽  
Coastal Waters ◽  
Transition Period ◽  
Marine Resources ◽  
Land Uses ◽  
Sea Waves ◽  
North West ◽  
North Sulawesi ◽  
The Waves

Coastal area of Bitung Municipality is one of the economical activities centers in North Sulawesi Province such as for land-uses and the exploitation of natural resources. Those activities are exaggerating day bay day and tended to be uncontrollable. The excess of those conditions, it has been recorded the change of waves in Bitung waters that has impacts to coastal areas and can affect the utilization of coastal and marine resources. This research was aimed to observe waves altitude variations in Bitung waters with Svedrup Munk and Bretchsneider (SMB) method that had been used to predict waves altitudes. The results showed that the wind speed during West Season was 0.33 m and were dominant to the East, while during East season was 0.91m from South-East to North-West, and then on transition period (March to May) was 1.08m from South-East to East. The results of those wind speed to the waves altitudes in Bitung waters is discussed in this paper© Pesisir pantai Kota Bitung merupakan salah satu pusat aktivitas ekonomi (misalnya pemanfaatan lahan dan eksploitasi sumberdaya) di Provinsi Sulawesi Utara. Aktivitas tersebut semakin hari semakin meningkat dan memiliki kecenderungan tidak terkontrol. Akibat dari keadaan tersebut, telah terjadi perubahan fenomena gelombang di perairan Bitung yang berdampak pada keberadaan daerah pesisir pantai di mana hal ini dapat mengganggu aktivitas pemanfaatan sumberdaya pesisir dan laut tersebut. Penelitian ini bertujuan untuk mengetahui variasi tinggi gelombang di perairan Bitung dengan menggunakan metode Svedrup Munk and Bretchsneider (SMB) yang biasa digunakan untuk peramalan tinggi gelombang signifikan. Hasil penelitian menunjukkan bahwa kecepatan angin pada Musim Barat sebesar 0,33 meter dan dominan ke arah Timur, sementara pada Musim Timur sebesar 0,91 meter dari arah Tenggara ke Barat Laut, serta pada Musim Peralihan (antara bulan Maret-Mei) adalah sebesar 1,08 meter dari arah Tenggara dan Timur. Pengaruh kecepatan angin tersebut terhadap gelombang laut di perairan Bitung dibahas dalam tulisan ini©

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