Causes and control measures of the karst rocky desertification in chongqing karst mountain area

Ji, Jiancheng; Xie, Shuyun

doi:10.1109/iceceng.2011.6058432

Cited by 3 publications

(5 citation statements)

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“…When trees are short, subjects are often found to have depression ( Yan and Chen, 2011 ; Hu and Chen, 2012 ). In all, the results of the tree-drawing test in patients with depression reflect their personality traits, including depressed motivation, low self-esteem, lacking of vitality, lacking of self-control, dependence, withdrawal, disengagement, and self-destruction ( Ji, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

“…This is possibly due to the proposal that trunk is correlated with the inner emotional function of the person and represents the unconscious emotion state of the person (see Figure 7 ). The width of the trunk can be seen as an indicator of emotional depth, while the length represents the degree of domination of emotional mood ( Ji, 2011 ). The core symptoms of depression patients include moodiness or depression, lack of interest, and loss of interest ( Xie and Ye, 1994 ).…”

Section: Discussionmentioning

confidence: 99%

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Screening Depressive Disorders With Tree-Drawing Test

Liu

Liang

et al. 2020

Front. Psychol.

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Objective: Diagnosis of psychiatric disease is still a major issue. Two key reasons are-there are variations in the opinions of the medical doctors and the presentation of a disease among the patients. Here we introduce a kind of mental projective test, tree-drawing test, trying to extract and analyze objective indexes in tree-drawing test in patients with depression. Methods: The tree-drawing test was administered to 43 patients with major depressive disorders, 48 sub-threshold subjects, and 59 healthy subjects. Features of the drawing trees were analyzed using a kind of computer image recognition and data acquisition software. Quantitative indexes collected from pictures drawn by patients with major depression, patients with sub-threshold depression, and control subjects were compared using the ANOVA test. Results: Five quantitative features (canopy area, canopy height, canopy width, trunk width, and total area of trees) were found to be statistically significant among the groups, while seven other features (trunk area, trunk height, root width, root height, root area, ratio of crown to trunk height, and ratio of crown to trunk area) showed no statistical significance. Further analysis with LSD-t test revealed that six quantitative indexes were significantly related to the depression symptoms, and six others were not statistically significant. Eleven quantitative indexes were not statistically significant when the depressive symptoms were compared with the subthreshold depression group, and the only index with statistical significance was canopy width. Conclusion: Five quantitative indexes in the drawing tree are statistically significant in the depression patients were compared with those of the control subjects. Quantitative indexes of the tree-drawing test are of great value in assisting with the diagnosis of psychiatric disorders.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Screening Depressive Disorders With Tree-Drawing Test

Liu

Liang

et al. 2020

Front. Psychol.

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“…Specific species in karst desertification areas also exhibit similar characteristics [ 36 ], such as Cladrastis platycarpa , Cunninghamia lanceolata , Tectona grandi , Cotinus coggygri , etc. After adapting to the special habitats in karst rocky desertification areas, their growth rate is faster, and their carbon fixation ability is superior to other species [ 20 ]. However, the mechanism of how specific functional characteristics of species affect ecosystem service capacity needs to be further studied.…”

Section: Discussionmentioning

confidence: 99%

“…The overall community species diversity index conversion formula is [ 20 ]

where C is the total community cover, the tree layer is i = 1, the shrub layer is i = 2, and the herb layer is i = 3; H is the height of each growth type of the community; W i is the diversity of the i th growth type of the community; C i is the cover of the ith growth type; and H i is the height of the ith growth type.…”

Section: Methodsmentioning

confidence: 99%

Forest Ecosystem Service Trade-Offs/Synergies and System Function Optimization in Karst Desertification Control

Xiong,

Deng,

Zhang

et al. 2023

Plants

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Karst desertification control forests are essential for ecosystem multi functionality, but the trade-offs/synergies are unclear for forest ecosystem services. In order to clarify the trade-offs/synergies, this study was conducted on eight forest communities in a karst desertification control area and was based on vegetation surveys and structural and functional monitoring. It analyzes water holding capacity, species diversity, soil conservation, and carbon storage characteristics and their trade-off/synergies. The results indicate the following: (1) The Cladrastis platycarpa + Cotinus coggygria community (H1) had the highest water holding capacity and species diversity with values of 252.21 t·hm−2 and 2.56, respectively. Soil conservation was highest in the Zanthoxylum bungeanum + Glycine max community (H6), with an index value of 1.56. Carbon storage was the greatest in the Tectona grandis community (H8), at 103.93 t·hm−2. The results of these studies have shown that there are significant differences in different types of forest community ecosystem services. (2) Water holding capacity, species diversity, soil conservation, and carbon storage, all have synergistic relationships, suggesting a trend towards synergistic enhancement between the services. (3) The species diversity of the forest ecosystems was shown to be in a trade-off with carbon storage and soil conservation, which suggests that the services are in competition with each other. To further improve the service capacity of forest ecosystems, the trade-offs between the regulation of forest community structure and function and the improvement of services should be optimized.

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“…The comprehensive benefit evaluation of rocky desertification includes ecological benefits, economic benefits, and social benefits [39]. The evaluation of ecosystem stability after karst rocky desertification control mainly focuses on the evaluation of cultivated land fertility [40], water quality monitoring [41], soil and water conservation benefits [42], grassland animal husbandry benefits [43], characteristic forest industry benefit monitoring, shrub and grass restoration benefits [44], rocky desertification sensitivity, ecological restoration [45] and carbon sequestration benefits [46] and the comprehensive monitoring and evaluation of ecological benefits [47]. Sustainable benefits focus on the benefits obtained by ecological and social development in stability and protection in development [48].…”

Section: Comprehensive Monitoring and Evaluation System Of The Rocky ...mentioning

confidence: 99%

A Study Revelation on Market and Value-Realization of Ecological Product to the Control of Rocky Desertification in South China Karst

Shen¹,

Liu²,

Xiong³

et al. 2022

Sustainability

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The restoration of the ecological environment in rocky desertification areas and economic development go hand in hand. With the support of the national policies from the “Ninth Five-Year Plan” to the “Thirteenth Five-Year Plan”, the related ecological industries and products derived from the control of rocky desertification in karst areas continue to emerge. It not only restrains and repairs the development of rocky desertification but also produces a higher regional economic value than the replaced industry, which has practical significance for targeted poverty alleviation and rural revitalization in rocky desertification areas. The thesis classifies and summarizes the development status of ecological products from the perspectives of the basic theory of ecological products, industrial model construction, industrial demonstration, quality monitoring and evaluation, product sales space, product value realization and improvement research and proposes some scientific problems to be solved. The dual attributes of ecology and economy of ecological products are integrated, and a sustainable industrial model and industrial value-added enlightenment for consolidating the achievements of rocky desertification control is proposed.

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Causes and control measures of the karst rocky desertification in chongqing karst mountain area

Cited by 3 publications

References 0 publications

Screening Depressive Disorders With Tree-Drawing Test

Screening Depressive Disorders With Tree-Drawing Test

Forest Ecosystem Service Trade-Offs/Synergies and System Function Optimization in Karst Desertification Control

A Study Revelation on Market and Value-Realization of Ecological Product to the Control of Rocky Desertification in South China Karst

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