Interaction of ecological and social factors affects vegetation recovery in China

Cao, Shixiong; Ma, Hua; Yuan, Wenping; Wang, Xin

doi:10.1016/j.biocon.2014.10.009

Cited by 84 publications

(47 citation statements)

References 33 publications

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“…It confirmed that China has been undergoing significant large-scale policy-driven ecological restoration [26]. However, the effects on a large scale do not necessarily occur on a small scale, and previous studies have concluded the relationship between vegetation transitions and natural or human-induced factors at a global, national, or regional level; the provincial and/or city scale is lacking [3,27,28]. Furthermore, there are also very few investigations of the spatial heterogeneity of human activity's influential effects.…”

Section: Introductionmentioning

confidence: 78%

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

et al. 2017

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For centuries, the rapid development of human society has already made human activity the dominant factor in the terrestrial ecosystem. As the city of greatest importance in China, the capital Beijing has experienced eco-environmental changes with unprecedented economic and population growth during the past few decades. To better understand the ecological transition and its correlations in Beijing, Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) images were used to investigate vegetation coverage changes using a dimidiate pixel model. Piecewise linear regression, bivariate-partial correlation analysis, and factor analysis were applied to the probing of the relationship between vegetation coverage changes and climatic/human-induced factors. The results showed that from 2000 to 2005, 2005 to 2010, and 2010 to 2015, Beijing experienced both restoration (6.33%, 10.08%, and 12.81%, respectively) and degradation (13.62%, 9.35%, and 9.49%, respectively). The correlation analysis results between climate and vegetation changes demonstrated that from 2000 to 2015, both the multi-year annual mean temperature (r = −0.819, p < 0.01) and the multi-year annual mean precipitation (r = 0.653, p < 0.05) had a significantly correlated relationship with vegetation change. The Beijing-Tianjin Sandstorm Source Control Project (BTSSCP) has shown beneficial spatial effects on vegetation restoration; the total effectiveness in conservation areas (84.94 in 2000-2010) was much better than non-BTSSCP areas (34.34 in 2000-2010). The most contributory socioeconomic factors were the population (contribution = 54.356%) and gross domestic product (GDP) (contribution = 30.677%). The population showed a significantly negative correlation with the overall vegetation coverage (r = −0.684, p < 0.05). The GDP was significantly negatively correlated with vegetation in Tongzhou, Daxing, Central city, Fangshan, Shunyi, and Changping (r = −0.601, p < 0.01), while positively related in Huairou, Miyun, Pinggu, Mentougou and Yanqing (r = 0.614, p < 0.01). These findings confirm that human activity is a very significant factor in impacting and explaining vegetation changes, and that some socioeconomic influences on vegetation coverage are highly spatially heterogeneous, based on the context of different areas.

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Section: Introductionmentioning

confidence: 78%

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

et al. 2017

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“…Further field investigation should be carried out in these plots to verify the restoration effects. In addition, there exists a time lag for the restoration project to become effective (Cao et al, 2014). The correlation analysis between residual trends and livestock pressure also indicated this issue.…”

Section: Discussionmentioning

confidence: 99%

“…For different socio-ecological systems, even if the same restoration projects were applied, their effects may be different (Cao et al, 2014). In the HYR region, the "black soil beach" management projects were mainly carried out in nine plots, and yet their effects appeared to spatially vary (Fig.…”

Section: Discussionmentioning

confidence: 99%

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Human-induced grassland degradation/restoration in the central Tibetan Plateau: The effects of ecological protection and restoration projects

Cai

Yang

2015

Ecological Engineering

183

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A B S T R A C TEcological projects are an important and vital method to help ecosystem adaptation and restoration in response to the environment change and human interference. The accurate and objective assessment of ecological projects will assist ecosystem management and adaption. This study took the central Tibetan Plateau as the study area, where a series of ecological projects has been implemented since 2005 to prevent grassland degradation by protecting and restoring the grasslands. Our aim is to explore where and to what extent the ecological projects influenced the grassland variation, using SPOT NDVI-based residual trend as an indicator. The results indicated that before the projects (between 1998 and 2004), human-induced degradation characterized the grassland. However, a general grassland restoration was detected after the projects from 2005 to 2012. Moreover, over 60% of project plots had positive trends in the NDVI residuals. From the spatial patterns, project-induced restoration was detected in the western and northern regions, such as Maduo, Dongde and Xinghai counties. For the eastern regions, the human-induced degradation has been generally mitigated and yet not reversed after the projects. Our results indicated that ecological protection and restoration projects in the central Tibetan Plateau have mitigated the grassland degradation and even reversed the degradation in some areas, and also suggested that the NDVI-based residual trend is a useful indicator for assessing the effectiveness of the ecological projects in alpine regions.

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“…Payments for ecosystem services (PES) is a possible approach to prevent this degradation tendency with several advantages, including promoting the orderly flow of ecosystem services, translating non-market environmental values into real financial incentives for local actors [2], bridging the interests of landowners and outside beneficiaries [3], and creatively facilitating the integration of protection and socioeconomic development [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Identification of Non-economic Influencing Factors Affecting Farmer’s Participation in the Paddy Landto-Dry Land Program in Chicheng County, China

Yuan

Liu

et al. 2017

Sustainability

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Abstract:There is global enthusiasm for payments for ecosystem services (PES) programs to solve environmental problems, including in China. However, PES programs in China go against the principle of 'voluntary transaction', which weakens the influences of economic factors on farmers' participation decisions and makes it hard to reveal their influence on farmers' participation willingness. Using household survey data and a logistic regression model, this study attempts to understand the influencing factors of farmers' decision-making on involvement in PES projects for hypothetical voluntary participation and focuses on whether the farmer would reject the program if the payment stopped. A surprising but promising result is found in the case of the Paddy Land-to-Dry Land (PLDL) program in Chicheng County, China, wherein, apart from the negative impact of education and the positive effect of off-farm income, two non-economic factors play a significant role in farmers' participation. The one is basic cognition, which negatively affects farmers' participation, and the other is inner altruistic motivation, which positively contributes to the participation. In addition, the high proportion of reconversion to paddy land after the payment period threatens the long-term sustainability of the PLDL program. Faced with the low education and environmental cognition statuses in remote agricultural areas, increasing educational quality and promoting the popular awareness of PES programs in rural areas should be highlighted in sustaining the efficiency and effectiveness of PES programs in the long run.

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Interaction of ecological and social factors affects vegetation recovery in China

Cited by 84 publications

References 33 publications

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015

Human-induced grassland degradation/restoration in the central Tibetan Plateau: The effects of ecological protection and restoration projects

Identification of Non-economic Influencing Factors Affecting Farmer’s Participation in the Paddy Landto-Dry Land Program in Chicheng County, China

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