This study assesses the determinants of forest land allocation to households in the forest tenure reforms in China in the period 1980-2005 using data from three provinces in Southern China; Fujian, Jiang Xi and Yunnan. Furthermore, it assesses the current level of tenure security on forest land and how this tenure security is affected by past and more recent policy changes.
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Showing items 1 through 9 of 50.-
Library ResourceReports & ResearchJuly, 2016Australia, Belgium, Canada, China, Russia, United States of America
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Library Resource
Volume 10 Issue 1
Peer-reviewed publicationJanuary, 2021Australia, Belgium, Canada, China, Russia, United States of AmericaThough forest ecosystems play a critical role in enhancing ecological, environmental, economic, and societal sustainability, on a global scale, their future outlooks are uncertain given the wide-ranging threats they are exposed to. The uniqueness of this study is to provide a line of evidence in which forest change trajectories are not only tracked but also evaluated through the lenses of forestry and economic oriented events’ timelines. The dynamics of forest change trajectories were mined using a temporal model.
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Library Resource
Land Use Policy Volume 71
Peer-reviewed publicationFebruary, 2018Canada, China, Germany, United Kingdom, Russia, United States of AmericaAgriculture is an important type of land use but suffers from drought, especially under global climate change scenarios. Although government is a major actor in helping farmers to adapt to drought, lack of funds has constrained its efforts. Public-Private Partnership (PPP) mechanism has been widely applied in urban infrastructure development to raise fund for public goods and services, but very few studies explored its role in rural areas.
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Library Resource
Volume 9 Issue 7
Peer-reviewed publicationJuly, 2020Canada, China, Russia, Sweden, United States of AmericaPan evapotranspiration (E) is an important physical parameter in agricultural water resources research. Many climatic factors affect E, and one of the essential challenges is to model or predict E utilizing limited climatic parameters. In this study, the performance of four different artificial neural network (ANN) algorithms i.e., multiple hidden layer back propagation (MBP), generalized regression neural network (GRNN), probabilistic neural networks (PNN), and wavelet neural network (WNN) and one empirical model namely Stephens–Stewart (SS) were employed to predict monthly E.
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Library ResourceJournal Articles & BooksDecember, 2005Cameroon, Spain, United States of America, Armenia, South Africa, Singapore, Kyrgyzstan, Chile, Azerbaijan, China, Romania, Indonesia, Australia, Canada, New Zealand, Japan, India, Russia, Pakistan, Mexico, Democratic Republic of the Congo
This publication offers a fresh look at the theory and practice of modern water rights, from a comparative law angle. It sheds light on a number of key features of such rights, and contrasts these to traditional forms and kinds of water rights. It teases out and discusses the relevant problematique, including in particular that elicited the sale and leasing of water rights. Finally, a stock-taking and assessment of modern water rights systems impacts are volunteered. This publication complements two earlier issues featured in the FAO Legislative Studies series, i.e.
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Library ResourceJournal Articles & BooksDecember, 2015Australia, Brazil, Canada, United States of America, India, Russia, China
Groundwater vulnerability assessment is an important task in water resources and land management. The most sophisticated among the vulnerability assessment techniques is the GIS-based DRASTIC model. However, despite its popularity, it is marred with excessive subjectivity glitches; little research has been conducted to address the shortcomings associated with this method. This study investigates various issues regarding the application of the GIS-based DRASTIC model through a critical review of relevant literatures.
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Library ResourceJournal Articles & BooksDecember, 2011Russia, Sweden, Canada
Methods for the estimation of forest growing stock volume (GSV) are a major topic of investigation in the remote sensing community. The boreal zone contains almost 30% of global forest by area but measurements of forest resources are often outdated. Although past and current spaceborne synthetic aperture radar (SAR) backscatter data are not optimal for forest-related studies, a multi-temporal combination of individual GSV estimates can improve the retrieval as compared to the single-image case.
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Library ResourceJournal Articles & BooksDecember, 2012United States of America, Ukraine, China, Uruguay, Canada, Argentina, Russia, Mexico, Northern America, South America
Liu, X., Burras, C. L., Kravchenko, Y. S., Duran, A., Huffman, T., Morras, H., Studdert, G., Zhang, X., Cruse, R. M. and Yuan, X. 2012. Overview of Mollisols in the world: Distribution, land use and management. Can. J. Soil Sci. 92: 383â402. Mollisols â a.k.a., Black Soils or Prairie Soils â make up about 916 million ha, which is 7% of the world's ice-free land surface. Their distribution strongly correlates with native prairie ecosystems, but is not limited to them. They are most prevalent in the mid-latitudes of North America, Eurasia, and South America.
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Library ResourceJournal Articles & BooksDecember, 2015Russia, Australia, New Zealand, Canada, Japan
In article is devoted to problems of land relations in agriculture, which provides an analysis of the nature this dynamics in recent decades, assess the rationality of land use in the context of globalization and offers an innovative solution for forming a model of land relations in agriculture. The authors is a traced the cyclic processes in the history of the development of land and property relations, assesses the present stage of the next cycle and are historical parallels in socio-economic development.
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Library ResourceReports & ResearchDecember, 2016France, Slovakia, Belgium, Peru, Jamaica, Canada, Iran, Costa Rica, Thailand, Switzerland, Republic of Korea, Japan, South Africa, Italy, Tanzania, Brazil, Russia, China, Mexico, Norway, Lebanon
Meeting Name: FAO Committee on Forestry
Meeting symbol/code: COFO 2016/REP
Session: Sess. 23
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