Application of PRRA to the Rural Development in China

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Measurement and Analysis of Production Performance of Rural Households in Jinzhai County, Anhui Province

Using a multi-input multi-output production technology and survey data from Jinzhai County, western Anhui Province, China, the author first measured the production performance of rural households -- their efficiency, economy of scale, and productivity during 1978-1997, and then related the measured production performance with institutional change, market access, and other factors. Preliminary results show that: 1) performance differs a great deal across households and over time; 2) institutional changes and market accessibility have played a major role in improving performance; 3) depending on the specific resources, their effects are variable.     

Participation of Farmers in Rural Economic Development

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Participation of Farmers,Community Organizationsand the Government

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What Can an Understanding of the Changing Small-Scale Forest Owner Contribute to Rural Studies? The Swedish Case

Small-scale Forestry - Over the centuries, Swedish rural areas have been formed in close interaction with their inhabitants and different and various uses. Based on studies, particularly of...     

Contribution of Homestead Forests to Rural Economy and Climate Change Mitigation: A Study from the Ecologically Critical Area of Cox’s Bazar—Teknaf Peninsula,Bangladesh

Small-scale Forestry - Homestead forests in the Teknaf Peninsula ecologically critical area of Cox’s Bazar in Bangladesh have not been widely studied. This paper explores floristic diversity...     

Relation between the dynamic modulus of elasticity and the static modulus of elasticity,the modulus of rupture of mandarin peel–sawdust composite board

This study was conducted to determine the relation between the dynamic modulus of elasticity and the static modulus of elasticity, and the relation between the dynamic modulus of elasticity and the modulus of rupture of mandarin peel–sawdust composite boards. The result of this study was as follows: There was highly close linear correlation between the dynamic modulus of elasticity and the static modulus of elasticity, modulus of rupture of the mandarin peel–sawdust composite boards with the density of 0.4, 0.5 and 0.6 g/cm³, and the mandarin peel content of 10, 20, 30 and 40%, thus, the static modulus of elasticity and the modulus of rupture can be predicted from the dynamic modulus of elasticity measured by free vibration test using resonance frequency.     

Evaluation of the sustainability of participatory management of forest plantations: the case study of Wari-Maro Forest Reserve,Republic of Benin§

This study assessed ecological and socio-economic impacts of a participatory forest management project in the Republic of Benin. The study focused on the Wari-Maro Forest Reserve and the ‘Projet d’Aménagement des Massifs Forestiers’ five years after its completion. A forest inventory was carried out using 37 square plots of 729 m² each to characterise the population structure of two types of plantations established: plantations with exotic species and plantations with native species. In addition, individual surveys were conducted with local households, organs of joint forest management and forestry officers to evaluate their perceptions about the participatory management of the plantations. Finally, the sustainability of the participatory management was assessed with an established rating system. Results showed that plantations with exotic species were more successful than plantations with native species. Local communities argued that they have not been involved in the plantations design but only in the implementation step and that their standards of living have decreased after the project completion. The rating system used showed that the participatory management of plantations had a short-term sustainability. The findings suggest that future projects should be designed and implemented with better participation of local communities as full partners.     

Hidden in the woods? Meaning,determining, and practicing of ‘common welfare’ in the case of the German public forests

This article addresses the German debate on the issue of the common welfare designation of public forests. In the first part, drawing on two case studies, the political discourse on the issue is introduced. Two major competing ‘story lines’ can be made out that are both based on a long tradition of controversially discussed concepts of regulatory forest policy. While they both emphasise that common welfare services in forestry run counter to profit orientation, they fundamentally differ with regard to the consequences for forest policy, e.g., considering the degree of state intervention. Afterwards, an overview on the scientific debate on common welfare in the German context is given, and different concepts of common welfare determination are distinguished. Existing approaches of common welfare determination in German forest policy are related to these concepts and discussed. It is argued that the common welfare designation of the public forest is only insufficiently implemented by the actual governance arrangements. Based on this consideration, eventually, the implementation of a procedural concept of common welfare operationalisation in Germany’s public forests at the local level is proposed. While such a concept will not solve all complex problems related to the determination of common welfare in public forestry, it would notably contribute to a more operational definition of common welfare in public forestry and a more informed public debate on the issue.     

River Connected to Lakes, the Hope of Tian''''ezhou

Itwas3:00pmofJune22atTian'ezhouWaterGateorthesceneofriverwatersluicingforfryadmission. ShishouTian'ezhouWaterControlStation'sheadChenDinghuaseriouslypressedthewatergateliftingbutton.ThethreegatesofTian'ezhouWaterGatethathadcutoffthecon-nectionbe…     

Influence of climatic factors on carbon accumulation in the aerial biomass of native vegetation in the south of Piauí, in the Brazilian Northeast

An understanding of forest carbon budgets, such as the factors that influence different levels of carbon accumulation, is one of the first steps in protecting and restoring areas of plant cover. Univariate and multivariate regression analysis was applied to evaluate the influence of climate variables (Rainfall, and mean maximum and minimum temperatures) on intra-annual above-ground carbon accumulated in tree species of the Caatinga. Above-ground carbon accumulated in the trees was 0.06 Mg ha^?1 month^?1. Carbon allocation in the aerial parts of the trees increased significantly with rainfall. Maximum and minimum temperature had little influence on carbon storage; however, variations in carbon accumulation are best explained when minimum and maximum temperatures are added to the regression model for rainfall, thereby demonstrating the simultaneous effect of these variables, and better explaining the carbon increase.     

Modelling of the spread of a potential invasive pest,the Siberian moth （Dendrolimus sibiricus） in Europe

Background： The Siberian moth （Dendrolimus sibiricus） （SM） defoliates several tree species from the genera Larix, Piceo and Abies in northern Asia, east of the Urals. The SM is a potential invasive forest pest in Europe because Europe has several suitable host species and climatic conditions of central and northern Europe are favourable for the SM.
Methods： This study developed a grid-based spatio-temporal model for simulating the spread of the SM in case it enters Europe from Russia via border stations. The spread rate was modeled as a function of the spatial distribution of host species, climatic suitability of different locations for the SM, human population density, transportation of moth-carrying material, and flying of moths from tree to tree.
Results and conclusions： The simulations showed that the SM is most likely to spread in the forests of northeast Belarus, the Baltic countries, and southern and central Finland. Climatic conditions affected the occurrence of the SM more than human population density and the coverage of suitable host species.     

k-Nearest Neighbor Regression in the Estimation of Tectona Grandis Trunk Volume in the State of Pará, Brazil

Models constructed from machine learning are a potential non-parametric alternative for the prediction of biometric variables in opposition to traditional regression modeling. The hypothesis of this study was that the non-parametric approach with the k-Nearest-Neighbor algorithm (k-NN) has the possibility of presenting better accuracy with lower demand for predictor variables in the estimates of T. grandis trunk volume than the traditional volumetric models applied in forest sciences. Ten volumetric models were adjusted. In the regression k-NN was defined as maximum of 25 (25-NN), but with learning only for the odd neighbors starting at 3-NN. The optimal k nearest neighbor for two variations of predictors was obtained through repeated cross-validations. Spurr (ln) and Schumacher-Hall were the most accurate linear models that meet the linear regression assumptions. The optimal k nearest neighbor for the algorithm was k = 5 for the two variations of predictors. The use of the k-NN estimator may be a more general approach to linear regression especially when the assumptions made about the errors are not satisfied. However, its use should be considered only when traditional linear regression models or other simpler methods do not show good results.     

Rural Fuelwood Markets in Niger——An assessment of Danish Support to the Niger Household Energy Strategy 1989-2003

During a period of almost fifteen years, Danish development cooperation has been involved in the fuelwood supply sector in Niger, first through the World Bank (Project Energie II, 1989-1998), and subsequently bilaterally,through the Household Energy Project (Project Energie Domestique, 2000-2003). Taken together, these initiativeshave contributed to the development of an approach known, in Niger,     

Status quo of the Life Network of the Changjiang River

Alongthe6300-kmfulllengthoftheChangjiangRiver,agroupoflakesthatstretchesgreenandvastconstitutesauniquelifesystemofitsvalley.Here,thereusedtobesomuchvitality:howlingmonkeys,flyingbirdsandcountlessaquaticorgasmsinbluewaterandwhitesand,givingrisetothemostpro…     

Changes of plant species composition in the Šumava spruce forests,SW Bohemia,since the 1970s

Vegetation dynamics of three forest communities were studied by resampling of relevés recorded in the 1970s in the Bohemian Forest (Šumava Mountains). Results of multivariate analysis (RDA) confirmed significant time changes in species composition of the climax (Calamagrostio-Piceetum) and waterlogged (Bazzanio-Piceetum) spruce forests. The changes in the sphagnum-rich waterlogged spruce forests (Sphagno-Piceetum) are close to the level of significance. The main vegetation changes are represented by a decrease in cover and/or frequency of hygrophilous or sciophilous species (e.g. Athyrium distentifolium, Oxalis acetosella) in climax spruce forests, and an abundant increase of species, indicating a preference to drier stands or better light conditions (e.g. Calamagrostis villosa, Vaccinium vitis-idaea or Avenella flexuosa), in waterlogged spruce forests. We also found a higher proportion of meadow species (e.g. Anthoxanthum odoratum, Festuca rubra or Luzula multiflora) in the newly recorded relevés from waterlogged forests. Analysis of species number per plot showed a remarkable shift to species-rich communities, especially in waterlogged stands.We tried to find the possible factors responsible for the observed changes. Unfortunately, only indirect measurement of environmental factors using Ellenberg’s indicator values could be used and did not yield sufficient results. Thus, the changes observed in climax spruce forests were ascribed mainly to a decrease in canopy cover, which was directly estimated. In waterlogged forests, a complex of several general factors, which influence the climax spruce forest, had to be taken into account, such as: (i) a decrease in atmospheric acidification during the last 10–15 years and subsequent improvement in soil conditions, especially in waterlogged stands; (ii) fragmentation of forests as a result of bark-beetles attack; (iii) climate warming documented by long-term local meteorological measurements.     

What controls the distribution of the Japanese endemic hemlock, Tsuga diversifolia? Footprint of climate in the glacial period on current habitat occupancy

Plant distributions are thought to be controlled by climate at large scales, and by non-climatic factors including soil conditions, topography and biotic interactions at smaller scales. However, not all plant distributions are explained by the current environment. Lags between current plant distributions and suitable environment for them are suggested to exist, which is often called empty habitat. To identify the existence and cause of lags between current climate and the distribution of Tsuga diversifolia, climatic conditions for the species distribution were clarified and potential habitats under current and the last glacial maximum (LGM; 21 ka) climates have been projected. The relationships between T. diversifolia distribution and climatic variables were explored using a classification tree model and a generalized additive model based on high-resolution (ca. 1 km) climatic data and a nationwide distribution database. The models were highly accurate. We revealed that T. diversifolia requires high summer precipitation even in humid Japanese environments. Areas with cool and wet summers were classified as potential habitat. Empty habitat for the focal species was identified in Hokkaido. Meanwhile, no potential habitat was projected in Hokkaido under the LGM. Additional experiments that varied temperature and summer precipitation during the LGM showed that the potential habitat was projected in Hokkaido irrespective of temperature decrease if summer precipitation increased nearly equal to the current climate. These results suggest that T. diversifolia vanished from Hokkaido, where fossil evidence indicated its occurrence until the late Neogene, during the glacial periods of the Pleistocene because of increased summer dryness.