| Literature DB >> 35631715 |
Jinzhong Fang1,2, Kangning Xiong1,2, Yongkuan Chi1,2, Shuzhen Song1,2, Cheng He1,2, Shuyu He1,2.
Abstract
Karst desertification control of grasslands balances the ecological and economic benefits of ecological restoration and rural ecological animal husbandry development. In the context of global changes and intensified human activities, the fragility of grassland ecosystems under karst desertification control is becoming increasingly evident, and enhancing the ecological resilience and ecosystem services of grasslands is an issue that urgently needs to be addressed. In this paper, the CNKI literature, WOS core databases and Goolgle scholar were used as search sources, identifying 179 articles related to the study of grassland ecosystem vulnerability and ecological resilience. This research systematically reviewed the progress of grassland ecosystem vulnerability research and analyzed the relationship between grassland ecosystem services (GESs) and grassland ecosystem vulnerability and resilience. The direction of enhancing GESs in karst areas is indicated in terms of the reciprocal feedback, synergistic relationship, and mechanism of action of GESs, vulnerability, and resilience. It is also emphasized that the karst desertification area should provide an ecological foundation for the sustainable development of the regional environment around the supply-and-demand relationship of GESs, the trade-off synergy of service flow, and the enhancement of ecological resilience, thereby consolidating the effectiveness of karst desertification control, enhancing GESs, and helping rural revitalization.Entities:
Keywords: ecological resilience; ecosystem service; ecosystem vulnerability; grassland; karst desertification control
Year: 2022 PMID: 35631715 PMCID: PMC9145024 DOI: 10.3390/plants11101290
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Figure 1Flowchart showing the systematic literature search and literature review. “Trade-offs/synergy”: Trade-offs are situations in which the supply of some types of ecosystem services decreases as the use of other types of ecosystem services increases, while synergies are situations where two or more ecosystem services are enhanced simultaneously. “Mutual feed effect”: Mutual feedback effects, to a certain extent, are mutual causes and effects. “Influence restriction”: Certain restrictions or limitations on one another. GEV, grassland ecosystem vulnerability; GER, grassland ecological resilience; GES, grassland ecosystem service.
Figure 2Grassland ecosystem vulnerability study stages: (1) statistics on the vulnerability and resilience of grassland ecosystems in each year; (2) based on the CNKI, WOS, and Google Scholar database retrieval and screening of the literature quantity and research content, the division of the research into stages (emergence and development stages).
Types of ecological vulnerability assessment index systems.
| Types | Characteristic |
|---|---|
| Single index system | A strong regional specificity and ability to accurately identify the key indicators of vulnerability; however, the structure is simple and non-comprehensive. |
| Comprehensive type | The scope is broad, comprehensive, and integrated; however, it contains a wide range of indicators and is less actionable due to the limitation of data availability. |
| Simulation prediction type | A system of indicators is established through data of change factors to simulate the ecological vulnerability of future systems; the method is mainly applied to the simulation of ecological sensitivity and the potential impacts. |
Ecological vulnerability assessment methods.
| Research Direction | Evaluation Method | Ideas | Pros and Cons | Literature Source |
|---|---|---|---|---|
| Ecological vulnerability assessment | Fuzzy Evaluation Method | Determine the index system and weight, calculate the membership degree of each factor to each evaluation index, analyze the resulting vector, and then evaluate the vulnerability level of each region and rank it. | Pros: The calculation method is simple and easy to implement. | [ |
| Ecological Vulnerability Index Evaluation Method | Determine the indicators, weight, and ecological thresholds, calculate the ecological vulnerability index EFI based on numerical standardization according to the formula, and divide the vulnerability level. | Pros: Closely integrates vulnerability assessment and environmental quality. | [ | |
| Comprehensive Evaluation Method | Included three parts: status evaluation, trend evaluation, and stability evaluation. | Pros: It is relatively comprehensive and macroscopic, and the evaluation results are highly comprehensive, logical, and systematic. | [ | |
| Grey Relational Analysis | Calculate the relative weight of each factor, calculate the relative vulnerability of the region according to the formula, and analyze the time series of the factors to obtain the trend of the regional vulnerability. | Pros: It is possible to compare the vulnerability of adjacent ecosystems and the development and change of its own vulnerability. | [ | |
| Landscape Ecology Model | Mainly through the calculation of landscape index (landscape dominance, landscape dominance index, landscape separation index, landscape fragmentation index, etc.), combined with the land use index or integration into the ecologically fragile area sensitivity index and other spatial heterogeneous changes to the research object; the characteristics and ecological environment effects are analyzed. | Pros: Simple and easy to understand, not very strict on the number of time samples, and able to reflect the ecological process. | [ | |
| Ecological vulnerability prediction method | Ecological Footprint | Calculate the ecological footprint and ecological carrying capacity index of the study area and compare the ecological footprint to the ecological carrying capacity index. | Pros: It can be combined with the stepwise regression method to evaluate the ecological vulnerability status of the study area. | [ |
| Scenario Analysis | By simulating the impact of climate change on the main functions of various systems, the vulnerability pattern under different climatic conditions can be studied. | Pros: A more accurate simulation result can be given for situations that will not change much in the future. | [ |
Ecological vulnerability evaluation model.
| Evaluation Model | Model Selection Indicator System Implications | Vulnerability Mechanisms | Literature Sources |
|---|---|---|---|
| Pressure–State–Response (PSR) model | Pressure indicators reflect the load on the system caused by human activities, state indicators are the result of the long-term action of various factors in the system, and response indicators are generally the countermeasures and measures taken by humans in the face of ecological problems. | Taking the environment, society, economy, and human activities as the starting point, it focuses on social and economic development while reflecting the state of development of the ecological environment and the positive and negative impacts of human activities. | [ |
| Sensitive–Recovery–Pressure (SRP) model | Ecological sensitivity characterizes the possibility of causing ecological problems when an ecosystem is affected by external influences; ecological resilience is the ability of an ecosystem to self-regulate and repair when it is damaged; ecological stress refers to factors that interfere with the stability of an ecosystem. | An ecological evaluation index system model that integrates natural, human, and ecosystem internal change factors to comprehensively evaluate the ecological vulnerability of a specific region. | [ |
| Vulnerability–Scoping–Diagram (VSD) model | Exposure is the proximity of the system to the hazard; sensitivity is the damage to the system under stress; resilience is the state of the system under stress and the ability of the system to recover after damage. | Starting from the connotation of vulnerability, analyze the ability of the system to resist interference, the ability to self-regulate and recover, and the probability of the system being exposed to dangerous interference. | [ |
| Sensitive–Elastic–Pressure (SEP) model | Ecological sensitivity is the sensitivity of the ecological environment to various disturbances, reflecting the ability to resist disturbances; ecological resilience is the property of the ecological environment to self-regulate and self-restore when internal and external disturbances or pressures do not exceed its elastic limit; ecological pressure is the pressure on the ecological environment brought by human survival needs and socioeconomic activities. | Starting from the connotation of vulnerability, environment, ecological structure, society, economy, and human activities, it reflects the development status of the ecological environment and the current vulnerability of the ecological environment under human activities. | [ |
| Ecosystem Structure–Function–Habitat Index System | The ecosystem structure includes indicators such as vegetation index and leaf area index; ecosystem functions include indicators such as total primary productivity and net primary productivity; the ecosystem habitat includes climate, topography, and environmental factors. | Structure, function, and habitat are used as indicator sets to reflect the sensitivity of ecosystems to external disturbances and their own adaptive capacity; to a certain extent, they reflect the status of natural disturbances and human activities. | [ |
| Causes and Results | Including the causal indicators of the natural environment (climate, precipitation, etc.) and the performance results of the regional system (per capita GDP, population density, etc.). | From the connotation of vulnerability, it pays attention to the influence of the internal and external factors of the system, and to the natural conditions and the condition of human interference. | [ |
Figure 3The relationship between grassland ecosystem vulnerability, resilience, and services.