Tian Liang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Tian Liang has a total of 37 co-authors. Here are the top co-authors by number of shared publications:
- Baiping Zhang
State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Beijing China
3 shared publications - Fang Han
School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
3 shared publications - Linbo Zhang
Humanities Laboratory for the Theory and Mechanism Research on the Value Realizing of the Yellow River Ecosystem Products, Shandong University, Qingdao 266237, China
3 shared publications - Bing Guo
Shandong University of Technology
2 shared publications - Fang Zhao
College of Geography and Environmental Science, Henan University, Kaifeng, China
2 shared publications - Yang Song
The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences, Yantai, 264003, China
2 shared publications
Latest Publications
- Open Access
- 23 March 2024
- Published by Elsevier in Ecological Indicators
- Vol. 160
Evaluating and simulating the impact of afforestation policy on land use and ecosystem services trade-offs in Linyi, China
- 23 March 2024
- Published by Elsevier in Ecological Indicators
- Vol. 160
Open AccessEvaluating and simulating the impact of afforestation policy on land use and ecosystem services trade-offs in Linyi, China
- Open Access
- 30 January 2023
- Published by MDPI AG in Atmosphere
- Vol. 14 (2) , 278
Spatio-Temporal Changes and Contribution of Human and Meteorological Factors to Grassland Net Primary Productivity in the Three-Rivers Headwater Region from 2000 to 2019
Since the beginning of the 21st century, the net primary productivity (NPP) of grassland in the Three-Rivers Headwaters (TRH) region has changed significantly. In this study, NPP was assessed by the Carnegie-Ames-Stanford approach (CASA) model in TRH from 2000 to 2019. The abrupt changes of NPP and meteorological factors were analyzed by cumulative departure, MK test, and Pettitt test. The contributions of meteorological and human factors to changes in grassland NPP were quantitatively assessed using the scenario simulation method. The obtained results showed that: (1) From 2000 to 2019, the NPP of grasslands increased from 135.72 to 141.16 gC/m−2a−1. However, the overall growth trend was not significant, and the proportion of significant growth was only 31.45%; (2) An abrupt increase in meteorological factors occurred around 2005, while an abrupt increase in NPP occurred around 2008, which showed that 2008 was the year when human factors, such as ecological projects and policies, began to show a significant impact on the growth of NPP; and (3) The contribution of human factors to the abrupt increase in NPP was significantly greater than the contribution of meteorological factors. The contribution of human factors exceeded 70% in 93.68% of the studied area, reaching 98% in general, while the contribution of meteorological factors was less than 2%. Among them, the human contributions to the Yangtze River Source, the Yellow River Source, and the Lancang River Source all exceeded 95%. The negative effects of meteorological factors on the growth of NPP in the abovementioned three regions were as high as 47.35%, 48.66%, and 36.91%, respectively. Human factors have contributed greatly to the increase in NPP in most of the source areas of the Yellow River, the eastern part of Tanggulashan County, the southeastern part of Zhiduo County, and the western part of Zaduo County at the source of the Yangtze River.
- 30 January 2023
- Published by MDPI AG in Atmosphere
- Vol. 14 (2) , 278
Open AccessSpatio-Temporal Changes and Contribution of Human and Meteorological Factors to Grassland Net Primary Productivity in the Three-Rivers Headwater Region from 2000 to 2019
Since the beginning of the 21st century, the net primary productivity (NPP) of grassland in the Three-Rivers Headwaters (TRH) region has changed significantly. In this study, NPP was assessed by the Carnegie-Ames-Stanford approach (CASA) model in TRH from 2000 to 2019. The abrupt changes of NPP and meteorological factors were analyzed by cumulative departure, MK test, and Pettitt test. The contributions of meteorological and human factors to changes in grassland NPP were quantitatively assessed using the scenario simulation method. The obtained results showed that: (1) From 2000 to 2019, the NPP of grasslands increased from 135.72 to 141.16 gC/m−2a−1. However, the overall growth trend was not significant, and the proportion of significant growth was only 31.45%; (2) An abrupt increase in meteorological factors occurred around 2005, while an abrupt increase in NPP occurred around 2008, which showed that 2008 was the year when human factors, such as ecological projects and policies, began to show a significant impact on the growth of NPP; and (3) The contribution of human factors to the abrupt increase in NPP was significantly greater than the contribution of meteorological factors. The contribution of human factors exceeded 70% in 93.68% of the studied area, reaching 98% in general, while the contribution of meteorological factors was less than 2%. Among them, the human contributions to the Yangtze River Source, the Yellow River Source, and the Lancang River Source all exceeded 95%. The negative effects of meteorological factors on the growth of NPP in the abovementioned three regions were as high as 47.35%, 48.66%, and 36.91%, respectively. Human factors have contributed greatly to the increase in NPP in most of the source areas of the Yellow River, the eastern part of Tanggulashan County, the southeastern part of Zhiduo County, and the western part of Zaduo County at the source of the Yangtze River.
- Open Access
- 13 January 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (2) , 1543
Impact of Green Development Mechanism Innovation on Total-Factor Environmental Efficiency: A Quasi-Natural Experiment Based on National Pilot Cities
The implementation of green development has become an important choice for countries seeking the harmonious development of the economy and the environment. The National Ecological Civilization Pilot Zone is an innovative institutional mechanism for exploring green development in China. This study utilizes the National Ecological Civilization Pilot Zone policy as a quasi-natural experiment. Adopting data from 290 prefecture-level and above cities in China during 2014–2019 as the research object, this study matches the propensity score and improved differences-in-differences to assess the impact of green development mechanism innovation on regional total-factor environmental efficiency. The results show that this innovation had a significant impact on the improvement of total-factor environmental efficiency. Compared with non-pilot cities, the implementation of pilot zone areas contributed 16.78% to the growth of total-factor environmental efficiency in the experimental group cities. In addition, further analysis shows that mechanism innovation is more effective in areas with high pollution and high resource consumption. This study enriches the research on evaluation of the impact of innovation in green development mechanisms and provides a reference for further promoting pilot national ecological civilization zones.
- 13 January 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (2) , 1543
Open AccessImpact of Green Development Mechanism Innovation on Total-Factor Environmental Efficiency: A Quasi-Natural Experiment Based on National Pilot Cities
The implementation of green development has become an important choice for countries seeking the harmonious development of the economy and the environment. The National Ecological Civilization Pilot Zone is an innovative institutional mechanism for exploring green development in China. This study utilizes the National Ecological Civilization Pilot Zone policy as a quasi-natural experiment. Adopting data from 290 prefecture-level and above cities in China during 2014–2019 as the research object, this study matches the propensity score and improved differences-in-differences to assess the impact of green development mechanism innovation on regional total-factor environmental efficiency. The results show that this innovation had a significant impact on the improvement of total-factor environmental efficiency. Compared with non-pilot cities, the implementation of pilot zone areas contributed 16.78% to the growth of total-factor environmental efficiency in the experimental group cities. In addition, further analysis shows that mechanism innovation is more effective in areas with high pollution and high resource consumption. This study enriches the research on evaluation of the impact of innovation in green development mechanisms and provides a reference for further promoting pilot national ecological civilization zones.
- 26 October 2022
- Published by Springer Nature in Journal of Mountain Science
- Vol. 19 (10) , 2846-2860
Characteristics of timberline and treeline altitudinal distribution in Mt. Namjagbarwa and their geographical interpretation
- 26 October 2022
- Published by Springer Nature in Journal of Mountain Science
- Vol. 19 (10) , 2846-2860
Characteristics of timberline and treeline altitudinal distribution in Mt. Namjagbarwa and their geographical interpretation
- 27 April 2022
- Published by Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences in Journal of Resources and Ecology
- Vol. 13 (3) , 501-510
Basic Principles of Gross Ecosystem Product (GEP) Accounting
Gross ecosystem product (GEP) is the gross value of all ecosystem products and services provided by ecosystems for human society. In practice, GEP measures the ecosystems' contributions to human well-being and constitutes one of the core issues in the construction of ecological civilization systems. Currently, GEP accounting faces a series of problems, such as the inconsistency of accounting subjects and a lack of accounting standards, the result of which is the non-reproducibility and weak applicability of accounting results. In this paper, mainstream models for ecosystem service valuation are summarized in a systematic manner. On this basis, eight basic principles are established for screening accounting indicators: biological productivity, human benefits, production territoriality, current increment, actual effectiveness, physical metrizability, data availability, and harmlessness. Next, a series of ecosystem service subjects are identified that need to be excluded from accounting, and the detailed reasons for their exclusion are presented. Finally, three ideas for improving GEP accounting are offered from the perspectives of the relationship between biological production and human production, the circulation-transport relationship and spatial differences, and harms to the ecosystem carrying capacity. The purpose is to provide positive considerations aimed at promoting the socio-economic applications of accounting and to contribute to the scientific quantification of the values of ecological products.
- 27 April 2022
- Published by Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences in Journal of Resources and Ecology
- Vol. 13 (3) , 501-510
Basic Principles of Gross Ecosystem Product (GEP) Accounting
Gross ecosystem product (GEP) is the gross value of all ecosystem products and services provided by ecosystems for human society. In practice, GEP measures the ecosystems' contributions to human well-being and constitutes one of the core issues in the construction of ecological civilization systems. Currently, GEP accounting faces a series of problems, such as the inconsistency of accounting subjects and a lack of accounting standards, the result of which is the non-reproducibility and weak applicability of accounting results. In this paper, mainstream models for ecosystem service valuation are summarized in a systematic manner. On this basis, eight basic principles are established for screening accounting indicators: biological productivity, human benefits, production territoriality, current increment, actual effectiveness, physical metrizability, data availability, and harmlessness. Next, a series of ecosystem service subjects are identified that need to be excluded from accounting, and the detailed reasons for their exclusion are presented. Finally, three ideas for improving GEP accounting are offered from the perspectives of the relationship between biological production and human production, the circulation-transport relationship and spatial differences, and harms to the ecosystem carrying capacity. The purpose is to provide positive considerations aimed at promoting the socio-economic applications of accounting and to contribute to the scientific quantification of the values of ecological products.
- Open Access
- 1 January 2019
- Published by Taylor & Francis in Geomatics, Natural Hazards and Risk
- Vol. 10 (1) , 1346-1366
Quantitative assessment model of ecological vulnerability of the Silk Road Economic Belt, China, utilizing remote sensing based on the partition–integration concept
The various patterns of spatial heterogeneity in the eco-environment of the Silk Road Economic Belt of China differ greatly. In this study, a partition–integration concept was introduced to assess the ecological vulnerability of the Silk Road Economic Belt in China. To confirm the comparability of ecological vulnerability among different sub-regions, the net primary productivity (NPP) was utilized to determine the ecological vulnerability thresholds for different sub-regions. The results indicated that: (1) the new assessment model of ecological vulnerability based on the partition–integration concept was strongly operational and practical for the study region; (2) NPP was conducive to the continuous expression of ecological vulnerability, which can ensure better comparison and analysis of ecological vulnerability among the three sub-regions; (3) the spatial patterns of zones at different vulnerability levels differed greatly. The mild vulnerability zone was the most widely distributed, whereas the zone of slight vulnerability covered the smallest area. (4) Specific environmental protection and treatment measures should be conducted in the three sub-regions with different dominant ecological problems. These results can provide decision-making support in realizing the great strategy of the “one belt and one road” idea.
- 1 January 2019
- Published by Taylor & Francis in Geomatics, Natural Hazards and Risk
- Vol. 10 (1) , 1346-1366
Open AccessQuantitative assessment model of ecological vulnerability of the Silk Road Economic Belt, China, utilizing remote sensing based on the partition–integration concept
The various patterns of spatial heterogeneity in the eco-environment of the Silk Road Economic Belt of China differ greatly. In this study, a partition–integration concept was introduced to assess the ecological vulnerability of the Silk Road Economic Belt in China. To confirm the comparability of ecological vulnerability among different sub-regions, the net primary productivity (NPP) was utilized to determine the ecological vulnerability thresholds for different sub-regions. The results indicated that: (1) the new assessment model of ecological vulnerability based on the partition–integration concept was strongly operational and practical for the study region; (2) NPP was conducive to the continuous expression of ecological vulnerability, which can ensure better comparison and analysis of ecological vulnerability among the three sub-regions; (3) the spatial patterns of zones at different vulnerability levels differed greatly. The mild vulnerability zone was the most widely distributed, whereas the zone of slight vulnerability covered the smallest area. (4) Specific environmental protection and treatment measures should be conducted in the three sub-regions with different dominant ecological problems. These results can provide decision-making support in realizing the great strategy of the “one belt and one road” idea.
- 17 December 2018
- Published by Springer Nature in Journal of Mountain Science
- Vol. 15 (12) , 2651-2665
Characterizing the Mass Elevation Effect across the Tibetan Plateau
- 17 December 2018
- Published by Springer Nature in Journal of Mountain Science
- Vol. 15 (12) , 2651-2665
Characterizing the Mass Elevation Effect across the Tibetan Plateau
- 11 July 2018
- Published by Springer Nature in Journal of Mountain Science
- Vol. 15 (7) , 1510-1519
Estimation of mass elevation effect and its annual variation based on MODIS and NECP data in the Tibetan Plateau
- 11 July 2018
- Published by Springer Nature in Journal of Mountain Science
- Vol. 15 (7) , 1510-1519
Estimation of mass elevation effect and its annual variation based on MODIS and NECP data in the Tibetan Plateau