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Showing items 1 through 9 of 993.
  1. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    China, Russia, United States of America

    Chinese croplands have changed considerably over the past decades, but their impacts on the environment remain underexplored. Meanwhile, understanding the contributions of human activities to vegetation greenness has been attracting more attention but still needs to be improved. To address both issues, this study explored vegetation greening and its relationships with Chinese cropland changes and climate. Greenness trends were first identified from the normalized difference vegetation index and leaf area index from 1982–2015 using three trend detection algorithms.

  2. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    China, Russia, United States of America

    Environmental degradation is closely related to unreasonable land use behaviors by farmers. In this study, participatory rural assessment (PRA) is used to conduct a detailed survey of farmers and plots and to collect relevant natural and social statistics. The accuracy of remote sensing data is verified by comparative analysis, and the change in status of various land use types in each research period is reflected by the change in the dynamic degree and change in range.

  3. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    Australia, China, Russia, United States of America

    Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it.

  4. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    Switzerland, Indonesia, United States of America

    Tree root systems stabilize hillslopes and riverbanks, reducing landslide risk, but related data for the humid tropics are scarce. We tested fractal allometry hypotheses on differences in the vertical and horizontal distribution of roots of trees commonly found in agroforestry systems and on shear strength of soil in relation to root length density in the topsoil. Proximal roots of 685 trees (55 species; 4–20 cm stem diameter at breast height, dbh) were observed across six landscapes in Indonesia.

  5. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    China, Russia, United States of America

    Multifunctional agriculture (MFA) has attracted increased attention from academics and policymakers in recent years. Academic researchers have utilised various approaches to assess and measure the multifunctionality of agriculture and rural landscapes. This paper outlines the nature of MFA and key supporting policies, before reviewing the applied research approaches, drawing primarily from the European Union and China where specific policies on MFA have been implemented to support rural development and promote sustainable rural communities.

  6. Library Resource

    Volume 9 Issue 8

    Peer-reviewed publication
    August, 2020
    Australia, Belgium, Canada, Indonesia, United States of America

    Forest conversion to agriculture can induce the loss of hydrologic functions linked to infiltration. Infiltration-friendly agroforestry land uses minimize this loss. Our assessment of forest-derived land uses in the Rejoso Watershed on the slopes of the Bromo volcano in East Java (Indonesia) focused on two zones, upstream (above 800 m a.s.l.; Andisols) and midstream (400–800 m a.s.l.; Inceptisols) of the Rejoso River, feeding aquifers that support lowland rice areas and drinking water supply to nearby cities.

  7. Library Resource

    Volume 9 Issue 7

    Peer-reviewed publication
    July, 2020
    Canada, China, Russia, Sweden, United States of America

    Pan 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.

  8. Library Resource

    Volume 9 Issue 7

    Peer-reviewed publication
    July, 2020
    China, Russia, United States of America

    Rural settlement consolidation (RSC) has a critical role in facilitating the transformation of human settlement and land use transition in the rural revitalization process. RSC involves a diversity of stakeholder groups with complex and intertwined concerns. It is therefore crucial to identify the key stakeholders and their main concerns to effectively align rural planning and policymaking. However, this line of research remains underdeveloped. This study provides a novel and holistic network perspective for unpacking the complex relationships among different stakeholders.

  9. Library Resource

    Volume 9 Issue 7

    Peer-reviewed publication
    July, 2020
    Argentina, Belgium, Costa Rica, Ethiopia, Mexico, New Zealand, Panama, Philippines, Poland, United States of America, Venezuela

    A singular and modest activist action, a temporary park created in San Francisco, grew into the global urban Park(ing) Day (PD) phenomenon. This tactical urbanism event not only expanded to be annually celebrated in thousands of parking lots all over the world but became an inspiration for urban planning and policy changes. The permanent rendition of Park(ing) Day, parklets, resulted from the movement but did not stop the spread of PD itself.

  10. Library Resource

    Volume 9 Issue 6

    Peer-reviewed publication
    June, 2020
    China, Russia, United States of America

    Digital soil mapping (DSM) is currently the primary framework for predicting the spatial variation of soil information (soil type or soil properties). Random forests and similarity-based methods have been used widely in DSM. However, the accuracy of the similarity-based approach is limited, and the performance of random forests is affected by the quality of the feature set. The objective of this study was to present a method for soil mapping by integrating the similarity-based approach and the random forests method.

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