Degradation of river ecological quality in Tibet plateau with overgrazing: A quantitative assessment using biotic integrity index improved by random forest

Niu, Lihua; Guo, Yuntong; Li, Yang; Wang, Chao; Hu, Qing; Fan, Luhuan; Wang, Linqiong; Yang, Nan

doi:10.1016/j.ecolind.2020.106948

Cited by 38 publications

(13 citation statements)

References 55 publications

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“…The world has been focusing on keeping the ecological ecosystem in a relatively stable dynamic equilibrium state in different aspects, such as the need to balance economic development and ecological conservation [1], and the ecosystem and communities' response to exterior pressure [2,3]. When the external influences irreversibly exceed the balance range, environmental problems occur worldwide, such as severe climate anomalies [4,5], land desertification [6], ecosystem degradation [7], and natural disasters [8], especially in ecologically vulnerable regions. The potential of an ecosystem's capability to respond, cope with, and recover when the ecosystem is disturbed by a specific hazard or stressor in a specific time and space is called ecological vulnerability [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

et al. 2021

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The combined impacts of drastic natural environment change and increasing human interference are making the uncertainty of the Tibetan Plateau’s ecological vulnerability the world’s largest. In this study, an ecological vulnerability index (EVI) of Tibet in the core area of the Tibetan Plateau was assessed using a selected set of ecological, social, and economic indicators and using a spatial principal component analysis (SPCA) to calculate their weights. The data included Landsat images and socio-economic data from 1990 to 2015 in five-year intervals. The results showed that the total EVI remained at a high vulnerability level, with drastic fluctuation from 1990 to 2000 (a peak in 1995, when there was a sudden increase in light vulnerability, which moved to extreme vulnerability in the next period), and minor fluctuations after 2000, gradually increasing from southeast to northwest. In addition, the spatial analysis showed a distinct positive correlation between the EVI and grassland area (0.33), land use degree (0.15), NDVI (0.14), livestock husbandry output, and a negative correlation in terms of desertification area. The artificial afforestation program (AAP) had a positive significant correlation with NDVI (R2 = 0.88), preventing the environment from becoming more vulnerable. The results provide practical information and suggestions for planners to improve the land use degree in urban areas and the vegetation coverage in pastoral regions of the Tibetan Plateau based on the spatial–temporal heterogeneity patterns of the EVI of Tibet.

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Section: Introductionmentioning

confidence: 99%

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

et al. 2021

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“…The higher the node purity is, the more important the variable is. The larger the value is, the higher the importance of the variable ( Angermueller et al., 2016 ; Niu et al., 2021 ). Due to the difference in the evaluation results of the importance of the two variables, the most important environmental factors affecting the SI were finally determined according to the consistency results of “%IncMSE” and “IncNodePurity”.…”

Section: Methodsmentioning

confidence: 99%

Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

et al. 2023

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Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a change in its suitable distribution and growth. However, the impact of climate change on its growth suitability is not clear. In this study, using forest resource inventory data and spatially continuous environmental factor data (temperature, precipitation, topography, and soil) in Hebei and Shanxi Provinces, China, the random forest model (RF) was used to simulate the larch site index (SI) and growth suitability under three shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the current and future (2021–2040, 2041–2060 and 2080–2100). The results revealed that (1) RF had excellent performance in predicting the regional SI (R2 = 0.73, MAE = 0.93 m, RMSE = 1.35 m); (2) the main factors affecting the productivity of larch were the mean temperature of the warmest quarter (BIO10), elevation (ELEV), mean diurnal range (BIO2), and annual precipitation (BIO12); and (3) larch currently had a higher SI in the Bashang areas and in the high-altitude mountains. The areas characterized as unsuitable, poorly suitable, moderately suitable, and highly suitable accounted for 15.45%, 42.12%, 31.94%, and 10.49% of the total area, respectively. (4) Future climate warming had an obvious inhibitory effect on the SI, and the effect strengthened with increasing radiation intensity and year. (5) The moderately suitable and highly suitable areas of larch growth showed a downward trend under future climate scenarios. By the end of this century, the suitable growth areas would decrease by 14.14% under SSP1-2.6, 15.17% under SSP2-4.5, and 19.35% under SSP5-8.5. The results revealed the impact of climate change on larch growth suitability, which can provide a scientific basis for larch forest management.

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“…The genus Agrobacterium also exists in the stems and leaves of plants, and it was reported to be found during the culture of the shoot tip of papaya along with S. yabuuchiae, a species of genus Sphingomonas [45]. Besides, in this region, there are several OTUs belonging to family Oxalobacteraceae, which is a common bacterium in water systems and is widely distributed in natural soil, water, and the feces of herbivores [46], and has been detected in fresh-cut vegetables [44]. It is reasonable to speculate that the microorganisms in this region tend to be derived from vegetable-based foods.…”

Section: Local Aggregation Of Otu Functional Characteristicsmentioning

confidence: 99%

Reorganizing heterogeneous information from host–microbe interaction reveals innate associations among samples

Cui

2023

Quant. Biol.

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The information on host–microbe interactions contained in the operational taxonomic unit (OTU) abundance table can serve as a clue to understanding the biological traits of OTUs and samples. Some studies have inferred the taxonomies or functions of OTUs by constructing co‐occurrence networks, but co‐occurrence networks can only encompass a small fraction of all OTUs due to the high sparsity of the OTU table. There is a lack of studies that intensively explore and use the information on sample‐OTU interactions. This study constructed a sample‐OTU heterogeneous information network and represented the nodes in the network through the heterogeneous graph embedding method to form the OTU space and sample space. Taking advantage of the represented OTU and sample vectors combined with the original OTU abundance information, an Integrated Model of Embedded Taxonomies and Abundance (IMETA) was proposed for predicting sample attributes, such as phenotypes and individual diet habits. Both the OTU space and sample space contain reasonable biological or medical semantic information, and the IMETA using embedded OTU and sample vectors can have stable and good performance in the sample classification tasks. This suggests that the embedding representation based on the sample‐OTU heterogeneous information network can provide more useful information for understanding microbiome samples. This study conducted quantified representations of the biological characteristics within the OTUs and samples, which is a good attempt to increase the utilization rate of information in the OTU abundance table, and it promotes a deeper understanding of the underlying knowledge of human microbiome.

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Degradation of river ecological quality in Tibet plateau with overgrazing: A quantitative assessment using biotic integrity index improved by random forest

Cited by 38 publications

References 55 publications

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

Reorganizing heterogeneous information from host–microbe interaction reveals innate associations among samples

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