Effects of land-use change on eco-environmental quality in Hainan Island, China

Sun, Rui; Wu, Zhixiang; Chen, Bangqian; Yang, Chao; Qi, Dongling; Lan, Guoyu; Fraedrich, Klaus

doi:10.1016/j.ecolind.2019.105777

Cited by 71 publications

(56 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2018, the rubber tree planting area in Hainan was 528,000 ha, accounting for 45.7% of China's total rubber tree planting area [1,59]. Since the 1950s, large-scale rubber tree planting has replaced the virgin tropical rainforest on Hainan Island and has caused severe environmental problems [60][61][62]. We collected data via stratified random sampling.…”

Section: Data Collectionmentioning

confidence: 99%

How Environmental Awareness and Knowledge Affect Urban Residents’ Willingness to Participate in Rubber Plantation Ecological Restoration Programs: Evidence from Hainan, China

Gan

NengRui

et al. 2021

Sustainability

View full text Add to dashboard Cite

The rapid expansion of rubber plantations in Asian countries has led to various environmental problems. Therefore, local governments are implementing rubber plantation ecological restoration (RPER) programs as an essential solution. However, such programs can be implemented only if residents are intensely involved. Based on a survey of 521 urban households in Hainan Province, China, this study investigates the effect of environmental awareness and knowledge on residents’ willingness to participate in RPER programs. We employ a double-hurdle (DH) model to estimate residents’ participation in two stages. First, we determine whether residents wish to participate or not (PN). Then, we measure residents’ degree of willingness to participate (DWP). The results show that residents’ environmental awareness has a significant positive effect on whether they wish to PN but has no impact on their DWP. By contrast, residents’ environmental knowledge has a significant positive effect on whether they wish to PN and their DWP. The moderating effect shows that residents’ environmental knowledge significantly weakens the positive effects of their environmental awareness on whether they wish to PN. Moreover, residents’ age, educational level, employment, and place of residence substantially influence their DWP. The findings in this study can provide useful insights for policymaking on improving rubber plantation ecosystems.

show abstract

Section: Data Collectionmentioning

confidence: 99%

How Environmental Awareness and Knowledge Affect Urban Residents’ Willingness to Participate in Rubber Plantation Ecological Restoration Programs: Evidence from Hainan, China

Gan

NengRui

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Changes in habitat quality and land-use are influenced by a set of complex processes of natural factors (e.g., temperature and precipitation) and human disturbances (e.g., dams, weirs, and levees) [ 36 ]; the attribution of these effects will be discussed in future studies. In addition, it is important to understand that the habitat suitability of natural forestland is likely higher than that of planted forestland.…”

Section: Discussionmentioning

confidence: 99%

“…Classifying high spatial resolution aerial imagery using remote sensing analysis is an efficient way to get accurate land cover maps. The use of remote sensing techniques for land-use analysis in some areas has been examined in many studies [ 30 , 36 , 48 , 49 ]. The CART decision tree classification was utilized to classify the processed image.…”

Section: Study Area Materials and Methodsmentioning

confidence: 99%

“…From the perspective of research methods, at this stage, scholars are using models more often to study habitat quality. For example, the EQI (Eco-environmental Quality Index) model [ 36 ], InVEST [ 30 , 31 , 32 , 33 ], and other models are used for regional habitat quality evaluation. The InVEST model has the advantages of relatively low data requirements and highly visible calculation results.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

How Human Activity Has Changed the Regional Habitat Quality in an Eco-Economic Zone: Evidence from Poyang Lake Eco-Economic Zone, China

Zhang

Xie

et al. 2020

IJERPH

View full text Add to dashboard Cite

Human activities such as deforestation and urbanization have affected the regional habitat quality of the Poyang Lake area. To evaluate the evolution of habitat quality and its influencing factors in the area, we used Classification and Regression Trees (CART) to interpret the land-use status and used the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to analyze the characteristics of changes in habitat quality in the Poyang Lake Eco-Economic Zone (PLEEZ) from 1988 to 2018. The results show that, from 1988 to 2018, land use in the PLEEZ underwent significant changes. The changes in land use led to a gradual increase in habitat degradation and a gradual decrease in habitat quality in the study area. Rapid urbanization notably decreased the habitat quality in the study area. However, at the same time, the ecological protection projects such as returning farmland to forests slowed the decline in habitat quality. Driven by these two factors, habitat quality in the PLEEZ gradually declined but the rate of its decline was suppressed. The findings of this study are of great significance for the coordinated development of social, economic, and ecological development in the PLEEZ and similar areas.

show abstract

“…What's more, numerous researchers combined remote sensing data and other datasets to assess regional eco-environment. Wei et al [30] integrated 23 indices to assess environmental vulnerability; Chang et al [31] constructed an index system combined 14 indices to evaluate the ecological environment; Chai and Lha [32] assessed ecological environmental quality (EEQ) by selecting key indicators; Sun et al [33] evaluated the eco-environmental quality of Hainan island by establishing an eco-environmental quality index (EQI), which was developed and published by the ministry of ecology and environment of China.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Change and Landscape Pattern Variation of Eco-Environmental Quality in Jing-Jin-Ji Urban Agglomeration From 2001 to 2015

Wang

Zhou

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Identifying the changes and relationships between regional eco-environment quality and landscape pattern in an urban agglomeration have a great significance in realizing sustainable development goal. However, limited research has been performed to understand the spatiotemporal change of ecoenvironment quality, the variation of landscape pattern, and their relationship in an urban agglomeration. This study selected the Jing-Jin-Ji (JJJ) urban agglomeration as the study area. A comprehensive index, the remote sensing ecological index (RSEI), was utilized to understand the eco-environment spatiotemporal change and landscape pattern variation at class-level and landscape-level of JJJ during 2001~2015, then, their relationship was explored. The major conclusions were as follows: (1) The average RSEI value of JJJ increased from 0.43 to 0.46, which represented that the eco-environment of JJJ had improved in the fourteen years. Among it, the improved region was mainly located in Zhangjiakou city, while the degraded region was mainly distributed in the eastern Hebei plain. (2) The landscape characteristics of entire JJJ ecoenvironment were becoming more aggregated, connected, diverse, and regular. However, fair, moderate, and good grades were getting more concentrated and continuous; poor grade indicated a more fragmented and disconnected trend; excellent grade displayed an expanded and concentrated situation. (3) Human factors have an increasing influence on regional eco-environment changes. (4) Fair, moderate, and good grades showed a more dominant and stronger influence on the variation of landscape pattern in JJJ. Specifically, the fair grade had a positive correlation with the variation of landscape pattern, while moderate and good grades had a negative one. All of these conclusions could be valuable information for relevant decision-makers in managing or achieving the optimal eco-environment landscape pattern. INDEX TERMS Jing-Jin-Ji urban agglomeration, landscape pattern, remote sensing ecological index, spatiotemporal change.

show abstract

Effects of land-use change on eco-environmental quality in Hainan Island, China

Cited by 71 publications

References 43 publications

How Environmental Awareness and Knowledge Affect Urban Residents’ Willingness to Participate in Rubber Plantation Ecological Restoration Programs: Evidence from Hainan, China

How Environmental Awareness and Knowledge Affect Urban Residents’ Willingness to Participate in Rubber Plantation Ecological Restoration Programs: Evidence from Hainan, China

How Human Activity Has Changed the Regional Habitat Quality in an Eco-Economic Zone: Evidence from Poyang Lake Eco-Economic Zone, China

Spatiotemporal Change and Landscape Pattern Variation of Eco-Environmental Quality in Jing-Jin-Ji Urban Agglomeration From 2001 to 2015

Contact Info

Product

Resources

About