Locating spatial variation in the association between road network and forest biomass carbon accumulation

Hu, Xisheng; Zhang, Lanyi; Ye, Limin; Lin, Ying-Ren; Qiu, Rongzu

doi:10.1016/j.ecolind.2016.09.042

Cited by 15 publications

(16 citation statements)

References 60 publications

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“…The kernel density analysis effectively eliminates the limitations associated with the traditional road density on different scales and provides a powerful tool for quantifying the spatial characteristics of road networks. Many researchers have proven that it is an effective tool for delineating the spatial characteristics of road networks (Anderson, 2009; Cai, Wu, & Cheng, 2013; Hu, Zhang, Ye, Lin, & Qiu, 2017). Therefore, this study adopted the kernel density analysis method to calculate the kernel density of the road network in Jiangsu Province from 2000 to 2015, and further analysed the development of road transportation in Jiangsu Province from 2000 to 2015.…”

Section: Data Source and Research Methodsmentioning

confidence: 99%

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Zhou

Xiao

et al. 2020

Growth and Change

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The excessive expansion of road transportation often has an impact on the quality of regional habitats. This paper attempts to assess the impact of road transportation on regional habitat quality in economically developed areas. A kernel density analysis was used to characterise the road transportation development in Jiangsu Province from 2000 to 2015. An Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) habitat quality model was applied to assess changes in habitat quality. Furthermore, a fixed-effect regression model was utilised to examine the impact of road transportation development in Jiangsu Province on habitat quality. The analysis indicates that the average kernel density of road transportation in the province increased from 0.109 to 0.551 km/km 2 while the habitat quality decreased from 0.51 to 0.48. The development of road transportationin Jiangsu Province has had a serious negative impact on the quality of the habitat. For every 1-ha increase in land area for road use, the habitat quality index will decrease by 0.066; for every 1 km/km 2 increase in road transportation kernel density, the habitat quality index will decline by 0.121.

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Section: Data Source and Research Methodsmentioning

confidence: 99%

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Zhou

Xiao

et al. 2020

Growth and Change

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“…It is notable that the studies addressing the relationship between roads and landscapes have achieved great progress [2,4,9,10], and the landscape is crucial for soil erosion process at a large scale [29]. We believe that the utilization of this progress incorporating a more efficient method, such as multiple regression or structural equation modeling, could greatly promote future research.…”

Section: The Soil Erosion Effects Of Road Vary In Different Road Levelsmentioning

confidence: 99%

“…Although recent research concerning the impacts of roads on soil erosion mainly focus on the direct impacts of roads, such as sediment delivery caused by road-concentrated flow [44,45], our study revealed the importance of the indirect role of roads on soil erosion evolution by conducting a buffer analysis and regression analysis. It is notable that the studies addressing the relationship between roads and landscapes have achieved great progress [2,4,9,10], and the landscape is crucial for soil erosion process at a large scale [29]. We believe that the utilization of this progress incorporating a more efficient method, such as multiple regression or structural equation modeling, could greatly promote future research.…”

Section: The Soil Erosion Effects Of Road Vary In Different Road Levelsmentioning

confidence: 99%

“…Quite understandably, people cannot reach their destination and transport natural resources without roads. The magnitude of that utilization is closely related to road accessibility, determined by the presence or absence and quality classes of road [3,[9][10][11]. Previous research has shown that the indirect ecological effects of roads can extend a great distance into adjacent landscapes, and could be more detrimental to ecological health than direct effects [12].…”

Section: Introductionmentioning

confidence: 99%

“…For example, and especially in developing countries, forests near the roads suffer from more pressure due to human disturbances than those that are far away from roads [10]. Quite understandably, people cannot reach their destination and transport natural resources without roads.…”

Section: Introductionmentioning

confidence: 99%

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The Indirect Roles of Roads in Soil Erosion Evolution in Jiangxi Province, China: A Large Scale Perspective

2017

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Abstract:As elicitors of terrestrial system change (e.g., land use transformation) through the introduction of anthropogenic causes, the spatial patterns and levels of roads might be more detrimental to the long-term health of ecosystems at a large scale than the road paving itself. This paper reveals the relationship between soil erosion and roads from a large-scale perspective in Jiangxi Province, China. Temporal and spatial distribution characteristics of artificial and natural drive factors of soil erosion alongside roads were addressed. It was found that, from 1990 to 2010, Jiangxi Province experienced an obvious reduction in soil erosion (the mean annual soil erosion rate decreased from 930.8 t·km −2 ·a −1 to 522.0 t·km −2 ·a −1 ), which was positively correlated with road density (p < 0.01). The maximum soil erosion reduction occurred at a distance of 0-1 km from the village roads. The order of soil erosion effects of the four levels of roads is: Village road > county road > provincial/national road. We emphasize that studying the indirect roles of roads in soil erosion is strongly dependent on a comprehensive consideration of historical policy and the economic development stage in a study area. This paper highlights the indirect role of village roads in soil erosion evolution.

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Anthromes and forest carbon responses to global change

Hogan,

Lichstein,

Helmer

et al. 2024

Plants People Planet

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Societal Impact StatementForest ecosystems absorb and store about 25% of global carbon dioxide emissions annually and are increasingly shaped by human land use and management. Climate change interacts with land use and forest dynamics to influence observed carbon stocks and the strength of the land carbon sink. We show that climate change effects on modeled forest land carbon stocks are strongest in tropical wildlands that have limited human influence. Global forest carbon stocks and carbon sink strength may decline as climate change and anthropogenic influences intensify, with wildland tropical forests, especially in Amazonia, likely being especially vulnerable.Summary Human effects on ecosystems date back thousands of years, and anthropogenic biomes—anthromes—broadly incorporate the effects of human population density and land use on ecosystems. Forests are integral to the global carbon cycle, containing large biomass carbon stocks, yet their responses to land use and climate change are uncertain but critical to informing climate change mitigation strategies, ecosystem management, and Earth system modeling. Using an anthromes perspective and the site locations from the Global Forest Carbon (ForC) Database, we compare intensively used, cultured, and wildland forest lands in tropical and extratropical regions. We summarize recent past (1900‐present) patterns of land use intensification, and we use a feedback analysis of Earth system models from the Coupled Model Intercomparison Project Phase 6 to estimate the sensitivity of forest carbon stocks to CO2 and temperature change for different anthromes among regions. Modeled global forest carbon stock responses are positive for CO2 increase but neutral to negative for temperature increase. Across anthromes (intensively used, cultured, and wildland forest areas), modeled forest carbon stock responses of temperate and boreal forests are less variable than those of tropical forests. Tropical wildland forest areas appear especially sensitive to CO2 and temperature change, with the negative temperature response highlighting the potential vulnerability of the globally significant carbon stock in tropical forests. The net effect of anthropogenic activities—including land‐use intensification and environmental change and their interactions with natural forest dynamics—will shape future forest carbon stock changes. These interactive effects will likely be strongest in tropical wildlands.

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Locating spatial variation in the association between road network and forest biomass carbon accumulation

Cited by 15 publications

References 60 publications

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

Impact of road transportation development on habitat quality in economically developed areas: A case study of Jiangsu Province, China

The Indirect Roles of Roads in Soil Erosion Evolution in Jiangxi Province, China: A Large Scale Perspective

Anthromes and forest carbon responses to global change

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