Driving forces and management strategies for estuaries in northern China

2010 ◽  
Vol 4 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Anning Suo ◽  
Dongzhi Zhao ◽  
Fengshou Zhang ◽  
Huaru Wang ◽  
Fengqiao Liu
Keyword(s):  
Driving Forces ◽  
Management Strategies ◽  
Northern China

Preferences and Performance of Erythroneura sudra (Homoptera: Cicadellidae) on Five Fruit Tree Species (Rosaceae)

2020 ◽  
Vol 49 (4) ◽  
pp. 931-937
Author(s):  
Xunbing Huang ◽  
Yueyue Wang ◽  
Zehua Zhang
Keyword(s):  
Relative Density ◽  
Plant Species ◽  
Tree Species ◽  
Management Strategies ◽  
Northern China ◽  
Developmental Time ◽  
Fruit Tree ◽  
The Other ◽  
Significant Damage ◽  
And Performance

Abstract Erythroneura sudra is a leafhopper occurring in northern China, which causes significant damage to fruit. The relationships between E. sudra and five fruit tree species (Rosaceae) were studied for 3 yr. The highest relative density of E. sudra was recorded on leaves of Amygdalus persica L. and Cerasus pseudocerasus Lindl. Likewise, it had the highest survival rate and shortest developmental time when it fed on these two plants species, indicating that they were the most preferred by E. sudra than the other plant species. The relative density and growth performance of E. sudra were negatively correlated with the levels of tannins and flavonoids in the leaves of the host species. Both plant species had relatively lower flavonoids and tannins, and this may have contributed to the enhanced survival and population growth of E. sudra. These results can guide the development of improved management strategies for this pest.

Dynamic modelling of multispecies fisheries for consensus building and management

1996 ◽  
Vol 23 (4) ◽  
pp. 332-342 ◽  
Author(s):  
Matthias Ruth ◽  
James Lindholm
Keyword(s):  
Driving Forces ◽  
Atlantic Cod ◽  
Management Strategies ◽  
Dynamic Modelling ◽  
Mesh Size ◽  
Equilibrium Analysis ◽  
Fish Populations ◽  
Georges Bank ◽  
Alternative Management ◽  
Management Measures

SummaryMany factors influence the dynamics of fisheries and feedback mechanisms amongst these factors are poorly understood. The ecological systems are too large and complex to conduct controlled experiments and economic adjustments to changes in fish populations defy traditional equilibrium analysis. New modelling approaches are required to identify the driving forces behind the dynamics of exploited fish populations, assess likely consequences of alternative management measures, and achieve consensus among stakeholders.We present an interdisciplinary modelling approach that can be used easily to assess dynamic consequences of alternative assumptions for certain key biological and economic parameters, and incorporates the input of various stakeholder groups in the fishery. Contributions of scientists, economists and managers to the model can be augmented with contributions from the fisherfolk.Our approach is illustrated by a dynamic computer model capturing the interactions of three demersal fish species on Georges Bank, namely Atlantic Cod (Gadus morhua), Haddock (Melanogramus aeglefimts) and Pollack (Pollachius virens), population sizes of which are assumed to be density-dependent for the purposes of the model and are significantly affected by management decisions. The model addresses how management measures for one species influence the population dynamics of other commercially exploited species. Various scenarios are run to explore the implications of viable management strategies under alternative assumptions on the driving forces behind complex ecological-economic processes. The analyses indicate that neither small reductions in effort nor mesh size increases are likely to prevent the further demise of the Georges Bank ground fisheries, and, in fact, stocks of the three targeted species may decline. Alternative management measures seem to be necessary to prevent collapse, and might include various strategies, such as effort controls and mesh size reductions, in conjunction with a dramatic change in fishing technology. The assessment and viability of alternative management measures in turn require that consensus is generated among stakeholders about data and models.

scholarly journals ECONOMIC EFFICIENCY, ENERGY CONSUMPTION AND SUSTAINABLE DEVELOPMENT / EKONOMINIS EFEKTYVUMAS, ENERGIJOS VARTOJIMAS IR SUBALANSUOTA PLĖTRA

2011 ◽  
Vol 12 (2) ◽  
pp. 353-374 ◽  
Author(s):  
Štefan Bojnec ◽  
Drago Papler
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Economic Efficiency ◽  
Energy Intensity ◽  
Driving Forces ◽  
Management Strategies ◽  
Value Added ◽  
Sustainable Economic Development ◽  
Technological Intensity

This paper analyzes structural indicators of economic efficiency and energy intensity consumption as determinants of sustainable economic development for the selected 33 European countries. The correlation, regression and multivariate factor analyses are applied to test the associations between the selected structural variables of energy intensity consumption, economic efficiency, and the main driving forces behind these developments. Economic efficiency is positively associated with expenditures on research and development (R&D) and a greater technological intensity of exports, while at the same time the economic efficiency of R&D expenditures and technological intensity of exports reduce the energy intensity consumption of the economy. The results suggest that management strategies and policies directed towards R&D expenditures, human capital investments, and technologically intensive export oriented products are improving economic efficiency performance and contributing to energy saving sustainable economic development. The technological intensity of products reduces energy consumption, which is related to restructuring of energy intensive industries into more advanced and energy saving ones with higher value added per unit of product, but with lower energy consumption per unit of product. Santrauka Autoriai analizuoja struktūrinius ekonominio efektyvumo ir energijos vartojimo intensyvumo, kaip vienų iš pagrindinių subalansuotos plėtros kintamųjų, rodiklius. Tirti buvo pasirinktos 33 Europos valstybės. Autoriai, siekdami pagrįsti iškeltus teiginius, naudojo koreliacinę, regresinę analizę bei daugiakriterinius metodus galimoms ekonominio efektyvumo bei energijos vartojimo laipsnio (ir kitų, ne mažiau svarbių elementų) variacijoms nustatyti. Ekonominis efektyvumas labai dažnai asocijuojasi su tyrimais ir plėtra (R&D), eksportuojamomis aukštosiomis technologijomis. Remdamiesi atliktų tyrimų rezultatais autoriai siūlo nukreipti tiek politinius sprendimus, tiek valdymo strategijas į tyrimų ir plėtros (R&D) veiklas, investicijas į žmogiškuosius išteklius, technologinius sprendimus, nes visa tai galima susieti su subalansuotos plėtros koncepcija.

scholarly journals Seasonal migration ofCnaphalocrocis medinalis(Lepidoptera: Crambidae) over the Bohai Sea in northern China

2014 ◽  
Vol 104 (5) ◽  
pp. 601-609 ◽  
Author(s):  
X.-W. Fu ◽  
C. Li ◽  
H.-Q. Feng ◽  
Z.-F. Liu ◽  
J.W. Chapman ◽  
...  
Keyword(s):  
Bohai Sea ◽  
Ovarian Development ◽  
Direct Evidence ◽  
Insect Pest ◽  
Management Strategies ◽  
Northern China ◽  
Seasonal Migration ◽  
Cnaphalocrocis Medinalis ◽  
Effective Management ◽  
Leaf Roller

AbstractThe rice leaf roller,Cnaphalocrocis medinalis(Guenée), is a serious insect pest of rice with a strong migratory ability. Previous studies on the migration ofC. medinaliswere mostly carried out in tropical or subtropical regions, however, and what the pattern of seasonal movements this species exhibits in temperate regions (i.e. Northern China, where they cannot overwinter) remains unknown. Here we present data from an 11-year study of this species made by searchlight trapping on Beihuang Island (BH, 38°24′N; 120°55′E) in the centre of the Bohai Strait, which provides direct evidence thatC. medinalisregularly migrates across this sea into northeastern agricultural region of China, and to take advantage of the abundant food resources there during the summer season. There was considerable seasonal variation in number ofC. medinalistrapped on BH, and the migration period during 2003–2013 ranged from 72 to 122 days. Some females trapped in June and July showed a relatively higher proportion of mated and a degree of ovarian development suggesting that the migration of this species is not completely bound by the ‘oogenesis-flight syndrome’. These findings revealed a new route forC. medinalismovements to and from Northeastern China, which will help us develop more effective management strategies against this pest.

scholarly journals Conceptualizing the Innovation Process – Trends and Outlook

2017 ◽  
Author(s):  
Maxim Kotsemir ◽  
Dirk Meisner
Keyword(s):  
Driving Forces ◽  
Innovation Management ◽  
Management Strategies ◽  
Innovation Process ◽  
Process Models ◽  
Management Approach ◽  
Conceptual Approach ◽  
Advantages And Disadvantages ◽  
Process Understanding ◽  
Process Trends

Available at SSRN: https://ssrn.com/abstract=2249782 or http://dx.doi.org/10.2139/ssrn.2249782This paper introduces the evolving understanding and conceptualization of innovation process models. From the discussion of different approaches towards the innovation process understanding and modeling two types of approaches to the evolution of innovation models are developed and discussed. First the so-called innovation management approach which focuses on the evolution of the company innovation management strategies in different socioeconomic environments. Second is the analysis the evolution of innovation models themselves in conceptual sense (conceptual approach) as well as analysis of theoretical backgrounds and requirements for these models.The main focus of analysis in this approach is on advantages and disadvantages of different innovation models in their ability to describe the reality of innovation processes. The paper focuses on the advantages and disadvantages as well as potentials and limitations of the approaches and also proposes potential future developments of innovation models as well as the analysis of driving forces that underlie the evolution of innovation models recently.Available at SSRN: https://ssrn.com/abstract=2249782 or http://dx.doi.org/10.2139/ssrn.2249782

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