The Experts below are selected from a list of 20106 Experts worldwide ranked by ideXlab platform

K Osoro - One of the best experts on this subject based on the ideXlab platform.

  • geostatistical modelling of air temperature in a Mountainous Region of northern spain
    Agricultural and Forest Meteorology, 2007
    Co-Authors: Raquel Benavides, Fernando Montes, Agustin Rubio, K Osoro
    Abstract:

    Air temperature is one of the most important factors affecting vegetation and controlling key ecological processes. Air temperature models were compared in a Mountainous Region (Asturias in the North of Spain) derived from five geostatistical and two regression models, using data for January (coolest month) and August (warmest month). The geostatistical models include the ordinary kriging (OK), developedin theXYplaneand in theX,YandZ-axis (OKxyz), with zonalanisotropy in theZ-axis (variogram fitting procedure developed in this study), and three techniques that introduce elevation as an explanatory variable: ordinary kriging with external drift (OKED) and universal kriging, using the ordinary least squares (OLS) residuals to estimate thevariogram (UK1) or the generalised least squares (GLS) residuals (UK2). The OKED, UK1 and UK2 techniques were more satisfactory than OK in terms of standard prediction error and mean absolute error, which were inferior by 1 8C, but OKxyz improved the results obtained with those techniques. Moreover, OKxyz, OKED, UK1 and UK2 improved slightly the results of a regression model with UTM coordinates and elevation data as independent variables in terms of bias (R1); whereas a complex regression model, which includes altitude, latitude, distance to the sea and solar radiance as independent variables (R2), showed better results in terms of mean absolute error, under 0.16 8C for both months. A second validation carried out with stations discarded for the interpolation showed a greater similarity between the efficiency of R2 and the geostatistical techniques. # 2007 Elsevier B.V. All rights reserved.

He Teng - One of the best experts on this subject based on the ideXlab platform.

  • Status of soil and water loss of slope-dry-cultivated-land and countermeasures of realignment in Guizhou Mountainous Region
    Journal of Mountain Agriculture and Biology, 2002
    Co-Authors: He Teng
    Abstract:

    Based on the analysis to the natural and artificial factors affecting the soil and water loss of slope dry cultivated land and ecological environment deterioration of the Mountainous Region in Guizhou province,it is thought that the Region has been one of the areas with the most serious soil and water loss and the frailest ecological environment of slope dry land as well as the fast growth of population and vile ecotype resulted from long term piratical exploitation of land resource. At last,this article has put forward six countermeasures of controlling soil and water loss of slope dry land, improving ecological environment and constructing ecological agriculture in Guizhou Mountainous Region.

  • Status of Soil and Water loss and Counter Measures of Ecological Agriculture Construction in Guizhou Karst Mountainous Region
    Journal of Soil and Water Conservation, 2000
    Co-Authors: He Teng
    Abstract:

    Based on the analysis to the natural and artificial factors affecting the soil and water loss and ecological environment deterioration of the Karst Mountainous Region in Guizhou province,it is thought that the Region has been one of the areas with the most serious soil and water loss and the frailest ecological environment as well as the fast growth of population and vile ecotype resulted from long term piratical exploition of land resource.At last this article has put foward seven counter measures of controlling soil and water loss,improving ecological environment and constructing ecological agriculture in Guizhou Karst Mountainous Region.

Raquel Benavides - One of the best experts on this subject based on the ideXlab platform.

  • geostatistical modelling of air temperature in a Mountainous Region of northern spain
    Agricultural and Forest Meteorology, 2007
    Co-Authors: Raquel Benavides, Fernando Montes, Agustin Rubio, K Osoro
    Abstract:

    Air temperature is one of the most important factors affecting vegetation and controlling key ecological processes. Air temperature models were compared in a Mountainous Region (Asturias in the North of Spain) derived from five geostatistical and two regression models, using data for January (coolest month) and August (warmest month). The geostatistical models include the ordinary kriging (OK), developedin theXYplaneand in theX,YandZ-axis (OKxyz), with zonalanisotropy in theZ-axis (variogram fitting procedure developed in this study), and three techniques that introduce elevation as an explanatory variable: ordinary kriging with external drift (OKED) and universal kriging, using the ordinary least squares (OLS) residuals to estimate thevariogram (UK1) or the generalised least squares (GLS) residuals (UK2). The OKED, UK1 and UK2 techniques were more satisfactory than OK in terms of standard prediction error and mean absolute error, which were inferior by 1 8C, but OKxyz improved the results obtained with those techniques. Moreover, OKxyz, OKED, UK1 and UK2 improved slightly the results of a regression model with UTM coordinates and elevation data as independent variables in terms of bias (R1); whereas a complex regression model, which includes altitude, latitude, distance to the sea and solar radiance as independent variables (R2), showed better results in terms of mean absolute error, under 0.16 8C for both months. A second validation carried out with stations discarded for the interpolation showed a greater similarity between the efficiency of R2 and the geostatistical techniques. # 2007 Elsevier B.V. All rights reserved.

Xiaocui Zhao - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of human environment system vulnerability for sustainable development in the liupan Mountainous Region of ningxia china
    Environmental development, 2020
    Co-Authors: Xiaojia Han, Peng Wang, Jijun Wang, Mei Qiao, Xiaocui Zhao
    Abstract:

    Abstract In the context of global change, the impacts and pressures attributed to human activities have become the main obstacles that restrict the sustainable development of ecological environments at the Regional scale. Assessments of the relationship between humans and the environment have become common in current environmental research. The Liupan Mountainous Region of Ningxia is characterized by its remote geographical location and fragile natural environment, which lead to impoverishment for the resident ethnic minority populations. This study aims to evaluate the spatial distributed characteristics of the vulnerability of the human-environment system and to propose sustainable development approaches for the Liupan Mountainous Region of Ningxia. The results showed that the overall vulnerability of the human-environment system in the Liupan Mountainous Region of Ningxia is relatively high and has a strong spatial coupling relationship with the Regional differentiation of the geographical environment and of the economic and social development in the study area. The fragile ecological environment, frequent natural disasters and spatial concentration of high-intensity human activities aggravated the vulnerability. Based on the results of the vulnerability and barrier factor identification processes, the sustainable development paths of “emigration”, “emigration + carbon sink industry” and “immigration resettlement + carbon sink industry” were developed for the study area. The carbon sink industry is oriented to the northwest and southeast, and the immigration resettlement is predominantly distributed in Yuanzhou District, which have high adaptability. The emigration approach is predominantly distributed in Xiji, Pengyang and Longde counties, which have higher exposure and sensitivity. Therefore, achieving sustainable development in restricted-development ecological zones must rely on the external manifestation of the economic functions of ecosystem services. The development of carbon sink industry and the implementation of ecological migration, which has the dual effects of poverty alleviation and ecological restoration, are the primary paths to promoting the sustainable development of restricted-development ecological zones in the future.

Agustin Rubio - One of the best experts on this subject based on the ideXlab platform.

  • geostatistical modelling of air temperature in a Mountainous Region of northern spain
    Agricultural and Forest Meteorology, 2007
    Co-Authors: Raquel Benavides, Fernando Montes, Agustin Rubio, K Osoro
    Abstract:

    Air temperature is one of the most important factors affecting vegetation and controlling key ecological processes. Air temperature models were compared in a Mountainous Region (Asturias in the North of Spain) derived from five geostatistical and two regression models, using data for January (coolest month) and August (warmest month). The geostatistical models include the ordinary kriging (OK), developedin theXYplaneand in theX,YandZ-axis (OKxyz), with zonalanisotropy in theZ-axis (variogram fitting procedure developed in this study), and three techniques that introduce elevation as an explanatory variable: ordinary kriging with external drift (OKED) and universal kriging, using the ordinary least squares (OLS) residuals to estimate thevariogram (UK1) or the generalised least squares (GLS) residuals (UK2). The OKED, UK1 and UK2 techniques were more satisfactory than OK in terms of standard prediction error and mean absolute error, which were inferior by 1 8C, but OKxyz improved the results obtained with those techniques. Moreover, OKxyz, OKED, UK1 and UK2 improved slightly the results of a regression model with UTM coordinates and elevation data as independent variables in terms of bias (R1); whereas a complex regression model, which includes altitude, latitude, distance to the sea and solar radiance as independent variables (R2), showed better results in terms of mean absolute error, under 0.16 8C for both months. A second validation carried out with stations discarded for the interpolation showed a greater similarity between the efficiency of R2 and the geostatistical techniques. # 2007 Elsevier B.V. All rights reserved.