scholarly journals Initial vegetation recovery and revegetation using regional resources in landslide areas following the 2018 Hokkaido Eastern Iburi Earthquake

2021 ◽  
Vol 47 (1) ◽  
pp. 3-8
Author(s):  
Natsuki YAMADA ◽  
Junko MORIMORO ◽  
Futoshi NAKAMURA ◽  
Satoshi SONDA
Keyword(s):  
Vegetation Recovery ◽  
Regional Resources

Institutions and the Embedded Entrepreneur

2019 ◽  
pp. 115-134
Author(s):  
Maryann Feldman ◽  
Paige Clayton
Keyword(s):  
Current Evidence ◽  
Future Research ◽  
Institutional Logic ◽  
The Relationship ◽  
Regional Resources

This chapter examines the relationship between entrepreneurs and the communities in which they are embedded. It argues that the actions of entrepreneurs and their firms are contextually situated in specific geographies that make their actions endogenous in the development of place and define a place-specific institutional logic. This argument is at odds with the view that industry clustering is due to the role of incumbent firms. This chapter reconciles these views by adopting a temporal view, allowing both incumbents and geography to co-occur and influence clustering. It then considers the current evidence of entrepreneurs’ effects on regional resources and capacity, and concludes with suggestions for future research.

Vegetation recovery alters soil N status in subtropical karst plateau area: Evidence from natural abundance δ15N and δ18O

2021 ◽  
Author(s):  
Jing Wang ◽  
Xuefa Wen ◽  
Sidan Lyu ◽  
Xinyu Zhang ◽  
Shenggong Li ◽  
...  
Keyword(s):  
Natural Abundance ◽  
Vegetation Recovery ◽  
Soil N ◽  
Plateau Area ◽  
N Status

scholarly journals Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1305
Author(s):  
Feliu Serra-Burriel ◽  
Pedro Delicado ◽  
Fernando M. Cucchietti
Keyword(s):  
Remote Sensing ◽  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Vegetation Index ◽  
Vegetation Recovery ◽  
Functional Responses ◽  
Elapsed Time ◽  
Synthetic Controls ◽  
Available Information

In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects on vegetation over the following years. We aim to explain the dynamics of wildfires’ effects on a vegetation index (previously estimated by causal inference through synthetic controls) from pre-wildfire available information (mainly proceeding from satellites). For this purpose, we use regression models from Functional Data Analysis, where wildfire effects are considered functional responses, depending on elapsed time after each wildfire, while pre-wildfire information acts as scalar covariates. Our main findings show that vegetation recovery after wildfires is a slow process, affected by many pre-wildfire conditions, among which the richness and diversity of vegetation is one of the best predictors for the recovery.

Low soil disturbance during boreal forest well site development enhances vegetation recovery after 10 years

2021 ◽  
Vol 482 ◽  
pp. 118849
Author(s):  
Edward W. Bork ◽  
Terrance J. Osko ◽  
Laurie Frerichs ◽  
M. Anne Naeth
Keyword(s):  
Boreal Forest ◽  
Soil Disturbance ◽  
Vegetation Recovery ◽  
Site Development

scholarly journals Rural–Urban Migration and Conservation Drive the Ecosystem Services Improvement in China Karst: A Case Study of HuanJiang County, Guangxi

2021 ◽  
Vol 13 (4) ◽  
pp. 566
Author(s):  
Xiangkun Qi ◽  
Qian Li ◽  
Yuemin Yue ◽  
Chujie Liao ◽  
Lu Zhai ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Human Activities ◽  
Soil Conservation ◽  
Land Reclamation ◽  
Vegetation Recovery ◽  
Water Yield ◽  
Urban Migration ◽  
Trade Offs ◽  
Rural Urban Migration ◽  
Huanjiang County

Under the transformation from over-cultivation to ecological protection in China’s karst, how human activities affect ecosystem services should be studied. This study combined satellite imagery and ecosystem models (Carnegie-Ames-Stanford Approach (CASA), Revised Universal Soil Loss Equation (RUSLE) and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST)) to evaluate primary ecosystem services (net ecosystem productivity (NEP), soil conservation and water yield) in a typical karst region (Huanjiang County). The relationships between human activities and ecosystem services were also examined. NEP increased from 441.7 g C/m2/yr in 2005 to 582.19 g C/m2/yr in 2015. Soil conservation also increased from 4.7 ton/ha to 5.5 ton/ha. Vegetation recovery and the conversion of farmland to forest, driven largely by restoration programs, contributed to this change. A positive relationship between increases in NEP, soil conservation and rural-urban migration (r = 0.62 and 0.53, P < 0.01, respectively) indicated decreasing human dependence on land reclamation and naturally regenerated vegetation. However, declining water yield from 784.3 to 724.5 mm highlights the trade-off between carbon sequestration and water yield should be considered. Our study suggests that conservation is critical to vegetation recovery in this region and that easing human pressure on land will play an important role.

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