Empirical Determination of Political Cultures as a Basis for Effective Coordination of Forest Management Systems

2003 ◽  
Vol 16 (10) ◽  
pp. 887-908 ◽  
Author(s):  
BENNO POKORNY ◽  
HEINER SCHANZ
2021 ◽  
Vol 167 ◽  
pp. 106268
Author(s):  
Mehdi Heydari ◽  
Sina Attar Roshan ◽  
Reza Omidipour ◽  
Manuel Esteban Lucas-Borja ◽  
Bernard Prévosto

2015 ◽  
Vol 34 (4) ◽  
pp. 380-405 ◽  
Author(s):  
Musingo T. E. Mbuvi ◽  
Josephine K. Musyoki ◽  
Paul O. Ongugo

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 264
Author(s):  
Jinghan Wang ◽  
Guangyue Li ◽  
Wenzhao Zhang

The powerful performance of deep learning is evident to all. With the deepening of research, neural networks have become more complex and not easily generalized to resource-constrained devices. The emergence of a series of model compression algorithms makes artificial intelligence on edge possible. Among them, structured model pruning is widely utilized because of its versatility. Structured pruning prunes the neural network itself and discards some relatively unimportant structures to compress the model’s size. However, in the previous pruning work, problems such as evaluation errors of networks, empirical determination of pruning rate, and low retraining efficiency remain. Therefore, we propose an accurate, objective, and efficient pruning algorithm—Combine-Net, introducing Adaptive BN to eliminate evaluation errors, the Kneedle algorithm to determine the pruning rate objectively, and knowledge distillation to improve the efficiency of retraining. Results show that, without precision loss, Combine-Net achieves 95% parameter compression and 83% computation compression on VGG16 on CIFAR10, 71% of parameter compression and 41% computation compression on ResNet50 on CIFAR100. Experiments on different datasets and models have proved that Combine-Net can efficiently compress the neural network’s parameters and computation.


1989 ◽  
Vol 134 (1) ◽  
pp. 7-18 ◽  
Author(s):  
B. Bussery ◽  
M.E. Rosenkrantz ◽  
D.D. Konowalow ◽  
M. Aubert-frécon

2018 ◽  
Vol 67 (4) ◽  
pp. 494-500
Author(s):  
Luiz Alberto Silva Rodrigues Pinto ◽  
Octávio Vioratti Telles Mendonça ◽  
Celeste Queiroz Rossi ◽  
Marcos Gervasio Pereira ◽  
Fabiana Costa Barros

Determination of mineralizable carbon (C) is based on the evolution of C-CO2, reflecting the activity of soil biota in soil organic matter (SOM) decomposition, and can be used as a testing parameter in agroecological production systems. The objective of the present work was to quantify mineralizable C in aggregates of different biogenic and physiogenic formation pathways in agroecological management systems in the city of Seropédica, state of Rio de Janeiro. Five sampling areas were selected: (1) 10-year agroforestry system (AFS), (2) 15-year full sun coffee (C-SUN), (3) 15-year shaded coffee (C-SHA), (4) 10-year phlegm alleles (FLE), and (5) 6-year no-till planting system with corn and eggplant (NT) in Red-Yellow Argissolo in Seropédica-RJ.Morphological patterns were used to identify the formation pathway (biogenic and physiogenic) of aggregates.  In these, fertility, total organic carbon (TOC), and total nitrogen (TN) were evaluated.  The evolution and accumulation of C-CO2were determined in the laboratory after 35 days of incubation. The NT area under agroecological management present higher C-CO2 accumulation between the systems with biogenic aggregates and less accumulation in the physiogenic aggregates. 


2021 ◽  
Vol 93 (3) ◽  
pp. 463-483
Author(s):  
Roman Zielony

Key issues for spatial planning and development, nature protection and forestry in Poland relate to the problems encountered in determining the area of forests included within – and the boundaries of – what are known as the Large Forest Areas (LFAs) in Poland. Even as overall forest cover in the country has increased steadily – by about 2.5 million ha overall – since 1945, the data available for the LFAs relate to measurements made as long ago as in the 1960s and 1970s. Even then, it is often unclear whether it is total areas or areas of forest that are being referred to in relation to the LFAs. There is thus an urgent need for meas-urements to be updated, with a view to the present-day boundaries of the Areas being delim-ited. Some 80‑100 LFAs are in fact distinguished in Poland, in line with definitions relating to total area exceeding 10,000 ha (100 km2) and forest cover exceeding 35%. While many of the LFAs received Proper-Noun names at one point or another in their histories, as used locally in a given region, and in guides and publications, there are also less culturall-defined areas that still await naming. Efforts to determine the boundaries of the LFAs at this point allow, not only for renewed or de novo determination of their overall areas and areas of forest, but also for an advancement of our knowledge regarding any items of cultural heritage that may be present within LFAs. Such data will be useful or essential as new physiographic, economic and tourist guide-studies are developed; and they will encourage and facilitate the more-detailed analysis and assess-ment of forest management taking place within the limits of the LFAs. In line with the effort made to achieve the above goals, this article details selected problems encountered with the delimitation of forest boundaries and areas, as these are exemplified by the Polish LFAs of the Białowieża, Bolimów, Borki, Knyszyn, Kampinos, Noteć, Romincka, Tuchola, Łuków and Chojnów Forests. Figures for overall area and area of forest were indeed obtained and are presented here for the selected examples of LFAs, which are also augmented by the so-called Dobrzejewice and Lubniewice Forests not distinguished in this way before now.


2011 ◽  
Vol 417 (3) ◽  
pp. 1760-1786 ◽  
Author(s):  
Vivienne Wild ◽  
Stéphane Charlot ◽  
Jarle Brinchmann ◽  
Timothy Heckman ◽  
Oliver Vince ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document