scholarly journals Agricultural and environmental functions of sustaining land use in Polish protected mountain areas

2019 ◽  
Author(s):  
Kamila Musial ◽  
◽  
Wieslaw Musial ◽  
Keyword(s):  
Land Use ◽  
Mountain Areas ◽  
Environmental Functions

scholarly journals The Influence of Land Use Change on Key Ecosystem Services and Their Relationships in a Mountain Region from Past to Future (1995–2050)

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 616
Author(s):  
Jie Gao ◽  
Xuguang Tang ◽  
Shiqiu Lin ◽  
Hongyan Bian
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Sustainable Land Use ◽  
Mountain Region ◽  
Water Yield ◽  
Mountain Regions ◽  
Mountain Areas ◽  
The Government ◽  
Steep Slopes

The ecosystem services (ESs) provided by mountain regions can bring about benefits to people living in and around the mountains. Ecosystems in mountain areas are fragile and sensitive to anthropogenic disturbance. Understanding the effect of land use change on ESs and their relationships can lead to sustainable land use management in mountain regions with complex topography. Chongqing, as a typical mountain region, was selected as the site of this research. The long-term impacts of land use change on four key ESs (i.e., water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ)) and their relationships were assessed from the past to the future (at five-year intervals, 1995–2050). Three future scenarios were constructed to represent the ecological restoration policy and different socioeconomic developments. From 1995 to 2015, WY and SC experienced overall increases. CS and HQ increased slightly at first and then decreased significantly. A scenario analysis suggested that, if the urban area continues to increase at low altitudes, by 2050, CS and HQ are predicted to decrease moderately. However, great improvements in SC, HQ, and CS are expected to be achieved by the middle of the century if the government continues to make efforts towards vegetation restoration on the steep slopes.

Research of Land Use Efficiency in Mountainous Township Based on the Methods of DEA

2012 ◽  
Vol 209-211 ◽  
pp. 507-511
Author(s):  
Yu He ◽  
Li Li Huo
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Living Environment ◽  
Scale Efficiency ◽  
Mountain Areas ◽  
Land Use Efficiency ◽  
Study Results ◽  
Close Relationship ◽  
Output Efficiency ◽  
Use Efficiency

Town land is the carrier of town’s economy, society and environment, and its land use efficiency has a close relationship with town’s economic development as well as living environment construction. This study selects towns of Zigui County as research objects to explore characteristics of land use efficiency in mountain areas. The study results show that: 1) Maoping, Lianghekou, Meijiahe and Moping, of which technical efficiency and scale efficiency equal to 1, achieve the best condition of land use efficiency. 2) In Quyuan, Guizhou, Shuitianba, Xietan and Zhouping, moderately enlarging towns’ scale will be helpful to strengthen agglomeration economy effect, and improve towns land use efficiency. While in Shazhengxi, Yanglinqiao and Guojiaba, it needs to decrease these towns’ scale moderately to prevent the waste of resource. 3) Inputs’ inefficiency and outputs’ insufficiency are the main factors result in the differences of input and output efficiency. 4) Accelerate Industrial Restructuring, optimize Industrial Structure, improve service efficiency of fixed assets investments, appropriately control the scale of construction land are the most important way to improve land use efficiency in Zigui County.

scholarly journals Changes in Intense Precipitation Events in Mexico City

2015 ◽  
Vol 16 (4) ◽  
pp. 1804-1820 ◽  
Author(s):  
Carlos A. Ochoa ◽  
Arturo I. Quintanar ◽  
Graciela B. Raga ◽  
Darrel Baumgardner
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Mexico City ◽  
Urban Areas ◽  
Wet Season ◽  
Mountain Areas ◽  
Surface Exchange ◽  
Intense Precipitation ◽  
Precipitation Decrease ◽  
Alternative Hypotheses

Abstract The authors analyzed an extensive precipitation dataset available for the Mexico City basin that included hourly precipitation in various sectors of the city from 1993 to 2007. Observations indicated that significant changes occurred in the timing and number of intense events (precipitation rate >20 mm h−1) over this time period. Alternative hypotheses that changes in the emission of aerosol pollutants or in the land use can result in the observed variations are tested. The Weather Research and Forecasting Model was used to simulate September precipitation from 2002 to 2011 at the peak of the wet season. Changes were introduced to the microphysical scheme as a proxy for differences in the aerosol population and the droplet activation spectra. Simulations were also performed with the land use of the urban areas set up to represent older and more current conditions. Results indicate that increased pollution (decreased urban area) led to an average precipitation decrease over the mountain areas of 20%–40% (10%–20%) and an increase of 20% (30%) to the east of Mexico City. The timing of intense precipitation shifts from 1900 to 1600 LT for the polluted and decreased urban area cases when compared to a control experiment. These results add valuable information about how precipitation is modified by complex terrain and surface exchange processes in large urban areas under wet conditions.

scholarly journals Half-Century Changes in LULC and Fire in Two Iberian Inner Mountain Areas

Fire ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 45
Author(s):  
Catarina Romão Sequeira ◽  
Francisco Rego ◽  
Cristina Montiel-Molina ◽  
Penelope Morgan
Keyword(s):  
Land Use ◽  
Regional Planning ◽  
Mountain Areas ◽  
Social Ecological ◽  
Mountain System ◽  
Land Use Policies ◽  
In Fire ◽  
The Relationship ◽  
Regional Land

Wildfires in the Iberian Peninsula were large and frequent in the second half of the 20th century. Land use and land cover (LULC) also changed greatly. Our aim was to understand the relationship between LULC and fire in the western and eastern ends of the Iberian Central Mountain System. We compared two case study landscapes, the Estrela massif and the Ayllón massif, which are biophysically similar but with different social-ecological contexts. In both, fires were in general more likely in shrublands and pastures than in forests. Shrublands replaced forests after fires. Contrasting LULC in the two massifs, particularly pastures, likely explained the differences in fire occurrence, and reflected different regional land use policies and history. Fire here is a social-ecological system, influenced by specific LULC and with implications from landscape to regional scales. Understanding how LULC changes interact with fire is powerful for improving landscape and regional planning.

scholarly journals A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area

2020 ◽  
Vol 10 (8) ◽  
pp. 2928 ◽  
Author(s):  
Rui Zhang ◽  
Xinming Tang ◽  
Shucheng You ◽  
Kaifeng Duan ◽  
Haiyan Xiang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing Data ◽  
Land Use Land Cover ◽  
Mountain Areas ◽  
Feature Level Fusion ◽  
Artificial Surfaces ◽  
Fusion Framework ◽  
Level Fusion

Remote sensing data plays an important role in classifying land use/land cover (LULC) information from various sensors having different spectral, spatial and temporal resolutions. The fusion of an optical image and a synthetic aperture radar (SAR) image is significant for the study of LULC change and simulation in cloudy mountain areas. This paper proposes a novel feature-level fusion framework, in which the Landsat operational land imager (OLI) images with different cloud covers, and a fully polarized Advanced Land Observing Satellite-2 (ALOS-2) image are selected to conduct LULC classification experiments. We take the karst mountain in Chongqing as a study area, following which the features of the spectrum, texture, and space of the optical and SAR images are extracted, respectively, supplemented by the normalized difference vegetation index (NDVI), elevation, slope and other relevant information. Furthermore, the fused feature image is subjected to object-oriented multi-scale segmentation, subsequently, an improved support vector machine (SVM) model is used to conduct the experiment. The results showed that the proposed framework has the advantages of multi-source data feature fusion, high classification performance and can be applied in mountain areas. The overall accuracy (OA) was more than 85%, with the Kappa coefficient values of 0.845. In terms of forest, gardenland, water, and artificial surfaces, the precision of fusion image was higher compared to single data source. In addition, ALOS-2 data have a comparative advantage in the extraction of shrubland, water, and artificial surfaces. This work aims to provide a reference for selecting the suitable data and methods for LULC classification in cloudy mountain areas. When in cloudy mountain areas, the fusion features of images should be preferred, during the period of low cloudiness, the Landsat OLI data should be selected, when no optical remote sensing data are available, and the fully polarized ALOS-2 data are an appropriate substitute.

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