scholarly journals Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 325
Author(s):  
Li Wang ◽  
Yong Zhou ◽  
Qing Li ◽  
Qian Zuo ◽  
Haoran Gao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Quality Evaluation ◽  
Spatial Association ◽  
Forest Land ◽  
Mountain Regions ◽  
Land Quality ◽  
Land Protection ◽  
Protection Zones ◽  
Forest Region ◽  
Topsis Model

Forest land is the carrier for growing forests. It is of great significance to evaluate the forest land quality scientifically and delineate forestland protection zones reasonably for realizing better forest land management, promoting ecological civilization construction, and coping with global climate change. In this study, taking Hefeng County, Hubei Province, a subtropical humid evergreen broad-leaved forest region in China, as the study area, 14 indicators were selected from four dimensions—climatic conditions, terrain, soil conditions, and socioeconomics—to construct a forest land quality evaluation index system. Based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model, we introduced the Particle Swarm Optimization (PSO) algorithm to design the evaluation model to evaluate the forest land quality and analyze the distribution of forest land quality in Hefeng. Further, we used the Local Indicator of Spatial Association (LISA) to explore the spatial distribution of forest land quality and delineate the forest land protection zones. The results showed the following: (1) the overall quality of forest land was high, with some variability between regions. The range of Forest Land Quality Index (FLQI) in Hefeng was 0.4091–0.8601, with a mean value of 0.6337. The forest land quality grades were mainly first and second grade, with the higher-grade forest land mainly distributed in the central and southeastern low mountain regions of Zouma, Wuli, and Yanzi. The lower-grade forest land was mainly distributed in the northwestern middle and high mountain regions of Zhongying, Taiping, and Rongmei. (2) The global spatial autocorrelation index of forest land quality in Hefeng County was 0.7562, indicating that the forest land quality in the county had a strong spatial similarity. The spatial distribution of similarity types high-high (HH) and low-low (LL) was more clustered, while the spatial distribution of dissimilarity types high-low (HL) and low-high (LH) was generally dispersed. (3) Based on the LISA of forest land quality, forest land protection zones were divided into three types: key protection zones (KPZs), active protection zones (APZs), and general protection zones (GPZs). The forest land protection zoning basically coincided with the forest land quality. Combining the characteristics of self-correlated types in different forestland protection zones, corresponding management and protection measures were proposed. This showed that the PSO-TOPSIS model can be effectively used for forest land quality evaluation. At the same time, the spatial attributes of forest land were incorporated into the development of forest land protection zoning scheme, which expands the method of forest land protection zoning, and can provide a scientific basis and methodological reference for the reasonable formulation of forest land use planning in Hefeng County, while also serving as a reference for similar regions and countries.

scholarly journals Topographic Position, Land Use and Soil Management Effects on Soil Organic Carbon (Vineyard Region of Niš, Serbia)

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1438
Author(s):  
Snežana Jakšić ◽  
Jordana Ninkov ◽  
Stanko Milić ◽  
Jovica Vasin ◽  
Milorad Živanov ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Layer ◽  
Spatial Distribution ◽  
Soil Erosion ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Compaction ◽  
Soil Management ◽  
Forest Land ◽  
Topographic Position

Spatial distribution of soil organic carbon (SOC) is the result of a combination of various factors related to both the natural environment and anthropogenic activities. The aim of this study was to examine (i) the state of SOC in topsoil and subsoil of vineyards compared to the nearest forest, (ii) the influence of soil management on SOC, (iii) the variation in SOC content with topographic position, (iv) the intensity of soil erosion in order to estimate the leaching of SOC from upper to lower topographic positions, and (v) the significance of SOC for the reduction of soil’s susceptibility to compaction. The study area was the vineyard region of Niš, which represents a medium-sized vineyard region in Serbia. About 32% of the total land area is affected, to some degree, by soil erosion. However, according to the mean annual soil loss rate, the total area is classified as having tolerable erosion risk. Land use was shown to be an important factor that controls SOC content. The vineyards contained less SOC than forest land. The SOC content was affected by topographic position. The interactive effect of topographic position and land use on SOC was significant. The SOC of forest land was significantly higher at the upper position than at the middle and lower positions. Spatial distribution of organic carbon in vineyards was not influenced by altitude, but occurred as a consequence of different soil management practices. The deep tillage at 60–80 cm, along with application of organic amendments, showed the potential to preserve SOC in the subsoil and prevent carbon loss from the surface layer. Penetrometric resistance values indicated optimum soil compaction in the surface layer of the soil, while low permeability was observed in deeper layers. Increases in SOC content reduce soil compaction and thus the risk of erosion and landslides. Knowledge of soil carbon distribution as a function of topographic position, land use and soil management is important for sustainable production and climate change mitigation.

scholarly journals The Sustainable Development of Choronymic Cultural Landscapes in China Based on Geo-Informatic Tupu

2019 ◽  
Vol 11 (16) ◽  
pp. 4302 ◽  
Author(s):  
Yingying Wang ◽  
Dazhuan Ge ◽  
Tongyan Zhang ◽  
Yingjie Wang
Keyword(s):  
Sustainable Development ◽  
Spatial Distribution ◽  
Ming Dynasty ◽  
Cultural Landscapes ◽  
Yellow River ◽  
Spatial Association ◽  
Temporal Distribution ◽  
Temporal Database ◽  
The Sustainable Development ◽  
Chengdu Plain

As a part of cultural landscapes, toponyms with abundant cultural connotations and a long history are valuable cultural heritage assets. Choronyms not only reflect natural and social phenomena but also help with relevant management and naming work. In order to explore the historical development sequence of choronymic cultural landscape evolution, we analyze the spatial–temporal pattern evolution, spatial–temporal variation, spatial association, and semantic evolution of choronymic cultural landscapes since the Qin dynasty. We adopt the sequent snapshot model and an event-based state amendment model to establish a spatio-temporal database. That can provide decision supports and theoretical reference for the sustainable development of toponymic landscapes. Results indicate the following: (1) Spatial distribution of toponym density has been different since the Qin dynasty. The cores of toponym density spread from the middle-lower reaches of the Yellow River to Yangtze Plain, Chengdu Plain, Pearl River Delta Plain. (2) Spatial distribution of choronyms is agglomerative since the Qin dynasty and uneven at national and provincial scales since the Yuan dynasty. Temporal distribution of toponyms at different levels is centralized. (3) Spatial agglomeration phenomena of toponyms are positively clustered in nine periods. The Ming dynasty presents the largest degree of spatial aggregation. (4) Words relevant to blessings, orientation, and hydrological features have high proportions in the top 20 words. (5) Spatial distribution of county-level choronyms named over the last 1000 years and “Millennium Ancient Counties” are unbalanced at national and provincial scales.

Determination of ecosystem carbon-stock distributions in the flux footprint of an eddy-covariance tower in a coastal forest in British Columbia

2011 ◽  
Vol 41 (7) ◽  
pp. 1380-1393 ◽  
Author(s):  
Colin J. Ferster ◽  
J.A. (Tony) Trofymow ◽  
Nicholas C. Coops ◽  
Baozhang Chen ◽  
T. Andrew Black ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Regression Model ◽  
Eddy Covariance ◽  
Spatial Prediction ◽  
Geospatial Data ◽  
Data Sets ◽  
Forest Land ◽  
Flux Tower ◽  
C Stocks ◽  
C Stock

An important consideration when interpreting eddy-covariance (EC) flux-tower measurements is the spatial distribution of forest land surface cover and soil type within the EC flux-tower footprint. At many EC flux-tower sites, there is a range of geospatial data available with the ability to estimate the spatial distribution of forest land cover and soils. Developing methods that utilize multiple geospatial data sets will result in more thorough estimates of ecosystem C stock distributions. The objective of this study was to develop, apply, and validate methods to obtain comprehensive estimates of the spatial distribution of ecosystem C stock components from live-tree, detritus, and soil pools within an EC flux-tower footprint. First, a set of geospatial data sets was collected and assessed for its predictive ability for the measured aboveground C stocks. Next, large tree and snag aboveground C stocks were estimated using two methods: (i) a geospatial regression model, and (ii) most similar neighbor (k-MSN) spatial prediction methodology, and the results were compared with those of a multiple linear regression model using light detection and ranging (LiDAR) data alone. Finally, we applied the spatial prediction methodology to estimate the spatial distribution of other C stock components (including soil C and woody debris).

Spatial analysis of notified dengue fever infections

2010 ◽  
Vol 139 (3) ◽  
pp. 391-399 ◽  
Author(s):  
W. HU ◽  
A. CLEMENTS ◽  
G. WILLIAMS ◽  
S. TONG
Keyword(s):  
Spatial Distribution ◽  
Empirical Bayes ◽  
Spatial Clustering ◽  
Spatial Association ◽  
Spatial Clusters ◽  
Logistic Regression Models ◽  
The North ◽  
High Incidence ◽  
Spatio Temporal ◽  
Low Incidence

SUMMARYThis study aimed to investigate the spatial clustering and dynamic dispersion of dengue incidence in Queensland, Australia. We used Moran'sIstatistic to assess the spatial autocorrelation of reported dengue cases. Spatial empirical Bayes smoothing estimates were used to display the spatial distribution of dengue in postal areas throughout Queensland. Local indicators of spatial association (LISA) maps and logistic regression models were used to identify spatial clusters and examine the spatio-temporal patterns of the spread of dengue. The results indicate that the spatial distribution of dengue was clustered during each of the three periods of 1993–1996, 1997–2000 and 2001–2004. The high-incidence clusters of dengue were primarily concentrated in the north of Queensland and low-incidence clusters occurred in the south-east of Queensland. The study concludes that the geographical range of notified dengue cases has significantly expanded in Queensland over recent years.

scholarly journals Methodological aspects of determining the amount of losses of agricultural production in the withdrawal land for other purposes

Ekonomika APK ◽  
2020 ◽  
Vol 310 (8) ◽  
pp. 13-21
Author(s):  
Oleksandr Nechyporenko ◽  
Alina Matviienko
Keyword(s):  
Agricultural Production ◽  
Research Process ◽  
State Regulation ◽  
Practical Significance ◽  
Comparative Characteristic ◽  
Land Quality ◽  
Land Protection ◽  
Rational Use ◽  
Forestry Production ◽  
Methodological Aspects

The purpose of the article is to investigate the genesis of the mechanism of compensation for losses of agricultural and forestry production and to propose certain directions for its improvement. Research methods. The following methods were used in the research process: monographic, historical and logical (for retrospective review of compensation for losses of agricultural production), comparison (for comparison of indexed standards by different approaches), graphical (for visual reflection of the obtained results), generalization (for the formulation of conclusions). Research results. In order to further improve state regulation of land protection and rational use, an analysis of the mechanism of one of its key economic levers - compensation for losses of agricultural and forestry production in case of withdrawal of land and their use for purposes other than agriculture and forestry, restricting the rights of owners and land users and deterioration of land quality. Possible approaches to modernization of standards for compensation of losses of agricultural production on the basis of their indexation with the use of price indices of agricultural products and inflation are considered. The comparative characteristic between them and indicators of normative monetary estimation of lands is carried out. Scientific novelty. The study of new methodological approaches to setting standards and determining the amount of losses of agricultural production, which are subject to compensation for the withdrawal of land for other purposes was further developed, based on the use of regulatory monetary valuation of land. Practical significance. The application of modernized standards for compensation of losses of agricultural production in the new economic conditions will increase revenues to local budgets, promote the rational use and prevention of unjustified withdrawal of land. Tabl.: 3. Figs.: 1. Refs.: 14.

Conversion of agricultural and forest land to other purposes in the context of land protection: Evidence from Polish experience

2020 ◽  
Vol 95 ◽  
pp. 104614 ◽  
Author(s):  
Krystyna Kurowska ◽  
Hubert Kryszk ◽  
Renata Marks-Bielska ◽  
Monika Mika ◽  
Przemysław Leń
Keyword(s):  
Forest Land ◽  
Land Protection ◽  
Polish Experience
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