scholarly journals Multicriterial evaluation in the definition of protected areas at the Piedade municipality, SP.

2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Simone Sayuri Sumida ◽  
Roberta Averna Valente
Keyword(s):  
Protected Areas ◽  
Weighted Averaging ◽  
Risk Level ◽  
Weighted Linear Combination ◽  
Conservation Units ◽  
Ordered Weighted Averaging ◽  
Forest Remnants ◽  
Definition Of

ABSTRACT The preservation in situ, through the establishment of legally protected areas, is one the approaches to mitigate environmental impact and protect biodiversity in the long term. The Piedade municipality shows a favorable set of conditions for consolidating protected areas (i.e. relatively low urbanization rates, the presence of forest remnants, and portions of relevant conservation units). In this context, the present study proposed the definition of priority areas for protection using Multicriteria Evaluation (MCE). The specific objectives were to identify the criteria and weights that are important for defining protected areas and to evaluate which method of MCE, whether the Weighted Linear Combination (WLC) or the Ordered Weighted Averaging (OWA) would be more appropriate. Using the Participatory Technique (PT), we defined criteria and weights. WLC and OWA made possible the identification of areas likely to become protected, but the first method produced more general and less flexible solutions. On the other hand, OWA provided a greater number of possible answers to the question of interest. Thus, showing the low-risk level, the OWA map was considered most suitable for the study proposal.

A Study on the Location Analysis Using Spatial Analysis and Ordered Weighted Averaging Operator Weighting Functions

2008 ◽  
Vol 12 (6) ◽  
pp. 529-536 ◽  
Author(s):  
Se-Woong Oh ◽  
◽  
Gyei-Kark Park ◽  
Jong-Min Park ◽  
Sang-Hyun Suh ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Fuzzy Ahp ◽  
Selection Method ◽  
Total Order ◽  
Weighted Averaging ◽  
Decision Strategy ◽  
Owa Operators ◽  
Ordered Weighted Averaging ◽  
Definition Of

In this thesis, we proposed the method combining spatial analysis, selection method of weighting values, aggregating decision strategy. To select a sites proposed for ship anchorage, we analyzed spatial data. Fuzzy AHP was used as selection method of weighting values to incorporate the fuzzy set theory and the basic nature of subjectivity due to ambiguity to achieve a flexible decision approach suitable for uncertain and fuzzy environments. To obtain the score that corresponds to the best alternative or the ranking of the alternatives, we need to use a total order for the fuzzy numbers involved in the problem. In this paper, we consider a definition of such a total order: the degree of Orness (1, 3/4, 2/3, 1/2, 1/3, 1/4, 0) reflected with the ordered weighted averaging (OWA) operators. A numerical example was given to illustrate the approach.

In situ characterization of metals at extremes

MRS Bulletin ◽  
2010 ◽  
Vol 35 (12) ◽  
pp. 1009-1016 ◽  
Author(s):  
N. D. Browning ◽  
G. H. Campbell ◽  
J. A. Hawreliak ◽  
M. A. Kirk
Keyword(s):  
Structural Evolution ◽  
Extreme Conditions ◽  
Long Term Effects ◽  
Recent Developments ◽  
Definition Of ◽  
Radiation Conditions ◽  
Temperature Strain

The fundamental processes taking place in metals under extreme conditions can occur on ultrafast timescales (i.e., nanoseconds to picoseconds), and yet their result can continue to have a significant impact on the structural properties for many years to follow. The challenge in developing in situ methods for characterization under extreme conditions therefore involves both the modification of the instrumentation to implement the high-temperature, strain, and radiation conditions and the definition of the timescale over which the measurement must be made. While techniques are well established for characterization of the long-term effects of extreme conditions, experiments are only just beginning to probe the initial stages of structural evolution. This article reviews recent developments in optical, x-ray, and electron probes of metals under extreme conditions and also discusses the needs for future experiments and potential pathways to achieving these goals.

scholarly journals Privately Protected Areas: Missing Pieces of the Global Conservation Puzzle

2021 ◽  
Vol 2 ◽  
Author(s):  
Heather C. Bingham ◽  
James A. Fitzsimons ◽  
Brent A. Mitchell ◽  
Kent H. Redford ◽  
Sue Stolton
Keyword(s):  
Protected Areas ◽  
Cultural Values ◽  
Effective Means ◽  
Religious Institutions ◽  
Global Conservation ◽  
Extensive Information ◽  
Definition Of ◽  
Geographical Space ◽  
Do So

Protected areas are an essential component of global conservation efforts. Although extensive information is available on the location of protected areas governed by governments, data on privately protected areas remain elusive at the global level. These are areas governed by private individuals and groups—ranging from families to religious institutions to companies—that meet IUCN's definition of a protected area: a clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values. As the world's governments prepare to adopt a new post-2020 global biodiversity framework to guide conservation over the next decade, we argue that, without complete data on privately protected areas, they do so without a vital piece of the puzzle.

scholarly journals The revised IUCN protected area management categories: the debate and ways forward

Oryx ◽  
2010 ◽  
Vol 44 (4) ◽  
pp. 485-490 ◽  
Author(s):  
Nigel Dudley ◽  
Jeffrey D. Parrish ◽  
Kent H. Redford ◽  
Sue Stolton
Keyword(s):  
Protected Areas ◽  
Protected Area ◽  
Area Network ◽  
Early 21St Century ◽  
Category System ◽  
Management Objectives ◽  
Sacred Natural Sites ◽  
Definition Of ◽  
Policy And Planning

AbstractThe global protected area estate is the world’s largest ever planned land use. Protected areas are not monolithic and vary in their purpose, designation, management and outcomes. The IUCN protected area category system is a typology based on management objectives. It documents protected area types and is increasingly used in laws, policy and planning. As its role grows, the category system must be reactive to opinions and open to modifications. In response to requests from members IUCN undertook a 4-year consultation and recently published revised guidelines for the categories. These made subtle but important changes to the protected area definition, giving greater emphasis to nature conservation, protection over the long term and management effectiveness. It refined some categories and gave principles for application. Debates during revision were intense and highlighted many of the issues and challenges surrounding protected areas in the early 21st century. There was a consensus on many issues including the suitability of different governance models (such as indigenous and community conserved areas), sacred natural sites, moving the emphasis of Category IV from habitat manipulation towards species and habitat protection, and recognition of legally defined zones within a protected area as different categories. However, there was considerable disagreement about the definition of a protected area, the appropriateness of some categories with extensive human use, the possibility of linking category classification with biodiversity outcomes, and recognition of territories of indigenous peoples. We map these debates and propose actions to resolve these issues: a necessary step if the world’s protected area network is to be representative, secure and well managed.

Central Otago - Built on gold, growing on grass.

2014 ◽  
Vol 76 ◽  
pp. 15-23
Author(s):  
Barrie J. Wills
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
National Economy ◽  
Local Community ◽  
Central Government ◽  
Future Generations ◽  
Economic Potential ◽  
District Council ◽  
Definition Of

A warm welcome to our "World of Difference" to all delegates attending this conference - we hope your stay is enjoyable and that you will leave Central Otago with an enhanced appreciation of the diversity of land use and the resilient and growing economic potential that this region has to offer. Without regional wellbeing the national economy will struggle to grow, something Central Government finally seems to be realising, and the Central Otago District Council Long Term Plan 2012-2022 (LTP) signals the importance of establishing a productive economy for the local community which will aid in the economic growth of the district and seeks to create a thriving economy that will be attractive to business and residents alike. Two key principles that underpin the LTP are sustainability and affordability, with the definition of sustainability being "… development that meets the needs of the present without compromising the ability of future generations to meet their own needs."

Long-term population dynamics of the red deer and European roe deer at the protected and not-protected areas in Mountain Crimea

2017 ◽  
Vol 7 (4) ◽  
pp. 65-72
Author(s):  
V. N. Shmagol' ◽  
V. L. Yarysh ◽  
S. P. Ivanov ◽  
V. I. Maltsev
Keyword(s):  
Population Dynamics ◽  
Protected Areas ◽  
Red Deer ◽  
Nature Reserve ◽  
Roe Deer ◽  
Precipitation Amount ◽  
Annual Precipitation ◽  
Population Number ◽  
The Impact

<p>The long-term population dynamics of the red deer (<em>Cervus elaphus</em> L.) and European roe deer (<em>Capreolus</em> <em>capreolus</em> L.) at the mountain and forest zone of Crimea during 1980-2017 is presented. Fluctuations in numbers of both species are cyclical and partly synchronous. Period of oscillations in the population of red deer is about 25 years, the average duration of the oscillation period of number of roe deer is 12.3 years. During the fluctuations in the number the increasing and fall in population number of the red deer had been as 26-47 %, and roe deer – as 22-34 %. Basing on the dada obtained we have assumed that together with large-scale cycles of fluctuations in population number of both red deer and roe deer the short cycles of fluctuations in the number of these species with period from 3.5 to 7.5 years take place. Significant differences of the parameters of cyclical fluctuations in the number of roe deer at some sites of the Mountainous Crimea: breaches of synchronicity, as well as significant differences in the duration of cycles are revealed. The greatest deviations from the average values of parameters of long-term dynamics of the number of roe deer in Crimea are noted for groups of this species at two protected areas. At the Crimean Nature Reserve the cycle time of fluctuations of the numbers of roe deer was 18 years. At the Karadag Nature Reserve since 1976 we can see an exponential growth in number of roe deer that is continued up to the present time. By 2016 the number of roe deer reached 750 individuals at a density of 437 animals per 1 thousand ha. Peculiarity of dynamics of number of roe deer at some sites proves the existence in the mountain forest of Crimea several relatively isolated groups of deer. We assumed that "island" location of the Crimean populations of red deer and European roe deer, their relatively little number and influence of permanent extreme factors of both natural and anthropogenic origination have contributed to a mechanism of survival of these populations. The elements of such a mechanism include the following features of long-term dynamics of the population: the reduction in the period of cyclic population fluctuations, while maintaining their amplitude and the appearance of additional small cycles, providing more flexible response of the population to the impact of both negative and positive environmental factors. From the totality of the weather conditions for the Crimean population of roe deer the recurring periods of increases and downs in the annual precipitation amount may have relevance. There was a trend of increase in the roe deer population during periods of increasing annual precipitation.</p>

(A review) Atlas of especially protected natural areas of Saint Petersburg / Ed. in chief V. N. Khramtsov, T. V. Kovaleva, N. Yu. Natsvaladze. St. Petersburg, 2013. 176 p.

2014 ◽  
pp. 124-129
Author(s):  
Z. V. Karamysheva
Keyword(s):  
Protected Areas ◽  
Large Scale ◽  
Natural Areas ◽  
Natural Protected Areas ◽  
Saint Petersburg ◽  
Natural Processes ◽  
Original Illustrations ◽  
Vegetation Maps ◽  
Protected Natural Areas

The review contains detailed description of the «Atlas of especially protected natural areas of Saint Petersburg» published in 2013. This publication presents the results of long-term studies of 12 natural protected areas made by a large research team in the years from 2002 to 2013 (see References). The Atlas contains a large number of the historical maps, new satellite images, the original illustrations, detailed texts on the nature of protected areas, summary tables of rare species of vascular plants, fungi and vertebrates recorded in these areas. Special attention is paid to the principles of thematic large-scale mapping. The landscape maps, the vegetation maps as well as the maps of natural processes in landscapes are included. Reviewed Atlas deserves the highest praise.

Populism and Liberal Democracy

2019 ◽  
Author(s):  
Takis S. Pappas
Keyword(s):  
United States ◽  
Liberal Democracy ◽  
The United States ◽  
Comprehensive Theory ◽  
The People ◽  
Original Definition ◽  
Key Issues ◽  
Great Relevance ◽  
Definition Of

Based on an original definition of modern populism as “democratic illiberalism” and many years of meticulous research, Takis Pappas marshals extraordinary empirical evidence from Argentina, Greece, Peru, Italy, Venezuela, Ecuador, Hungary, the United States, Spain, and Brazil to develop a comprehensive theory about populism. He addresses all key issues in the debate about populism and answers significant questions of great relevance for today’s liberal democracy, including: • What is modern populism and how can it be differentiated from comparable phenomena like nativism and autocracy? • Where in Latin America has populism become most successful? Where in Europe did it emerge first? Why did its rise to power in the United States come so late? • Is Trump a populist and, if so, could he be compared best with Venezuela’s Chávez, France’s Le Pens, or Turkey’s Erdoğan? • Why has populism thrived in post-authoritarian Greece but not in Spain? And why in Argentina and not in Brazil? • Can populism ever succeed without a charismatic leader? If not, what does leadership tell us about how to challenge populism? • Who are “the people” who vote for populist parties, how are these “made” into a group, and what is in their minds? • Is there a “populist blueprint” that all populists use when in power? And what are the long-term consequences of populist rule? • What does the expansion, and possibly solidification, of populism mean for the very nature and future of contemporary democracy? Populism and Liberal Democracy will change the ways the reader understands populism and imagines the prospects of liberal democracy.

scholarly journals Global soil moisture data derived through machine learning trained with in-situ measurements

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sungmin O. ◽  
Rene Orth
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Large Scale ◽  
Short Term Memory ◽  
Temporal Dynamics ◽  
Soil Moisture Data ◽  
Wide Range ◽  
Global Soil

AbstractWhile soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term dataset of soil moisture derived through machine learning trained with in-situ measurements, SoMo.ml. We train a Long Short-Term Memory (LSTM) model to extrapolate daily soil moisture dynamics in space and in time, based on in-situ data collected from more than 1,000 stations across the globe. SoMo.ml provides multi-layer soil moisture data (0–10 cm, 10–30 cm, and 30–50 cm) at 0.25° spatial and daily temporal resolution over the period 2000–2019. The performance of the resulting dataset is evaluated through cross validation and inter-comparison with existing soil moisture datasets. SoMo.ml performs especially well in terms of temporal dynamics, making it particularly useful for applications requiring time-varying soil moisture, such as anomaly detection and memory analyses. SoMo.ml complements the existing suite of modelled and satellite-based datasets given its distinct derivation, to support large-scale hydrological, meteorological, and ecological analyses.

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