scholarly journals Extreme Weather and Forest Management in the Mid-Atlantic Region of the United States

2003 ◽  
Vol 20 (2) ◽  
pp. 61-70 ◽  
Author(s):  
David R. DeWalle ◽  
Anthony R. Buda ◽  
Ann Fisher

Abstract Projected climate change could have major effects on forest management because of the potential for increased frequency, duration, and/or severity of extreme weather events. We surveyed public and private forestland management groups in the Mid-Atlantic region of the United States to better understand current interactions between extreme weather events and forest land management and to help predict future impacts. Our questionnaire addressed the importance and types of problems created by extreme weather events, the coping strategies employed to mitigate problems, and the overall economic effects of extreme weather. Responses were received from 322 forest managers/users (54% response rate) primarily representing state natural resources agencies, forestry consulting firms, large industrial forestry companies and smaller logging companies. Overall, respondents rated the impacts of extreme weather on their operations as low to modest; however, over 20% experienced “major” effects because of extreme weather over the past 10 yr. The highest rated impacts were: (1) reduced access to forestland because of flooding, deep snow, or wind- and ice-damaged trees; (2) increased costs for road and facility maintenance, and (3) direct damage to trees by wind, snow, or ice and subsequent effects on timber supplies and market prices. Mitigation strategies most commonly mentioned were switching of silvicultural systems and changing site preparation and planting schemes, but most respondents had not altered their management due to extreme weather. When asked about effects of a hypothetical 25% increase in severe weather, the most common mitigation strategy was increased investment in new equipment and facilities. Short-term economic impacts of severe weather varied between “supply increasing” conditions associated with increased tree damage and salvage operations and “supply decreasing” conditions related to reduced access to forest land. Increased severe weather due to climate change can be expected to have small to modest effects on forest management and users overall, but areas subjected to hurricanes and ice storms within the Mid-Atlantic region appear to be more sensitive to impacts of severe weather. North. J. Appl. For. 20(2):61–70.

Subject The political and economic implications of greater scientific understanding of extreme weather events. Significance Preparatory talks for the UN climate summit in Paris have seen representatives from developing countries ask the United States and EU for greater compensation for damages caused by extreme weather. The link between climate change and more extreme weather events is clear -- energy from higher temperature levels can be translated into kinetic energy and disrupts usual weather patterns -- but distinguishing the extent of a causal connection, especially for specific events, has until recently been difficult. Impacts Extreme weather events will affect the insurance industry, agriculture, tourism, and food and beverage sectors. In the United States, the South-east will see the highest risks of coastal property losses due to climate change impacts. Hurricanes and other coastal storms combined with rising sea levels are likely to cause growing annual storm losses in the Caribbean. Infrastructure will grow in cost as it must be proofed against new extremes in weather stress.


2019 ◽  
Author(s):  
Brooke L. Bateman ◽  
Lotem Taylor ◽  
Chad Wilsey ◽  
Joanna Wu ◽  
Geoffrey S. LeBaron ◽  
...  

AbstractClimate change is a significant threat to biodiversity globally, compounded by threats that could hinder species’ ability to respond through range shifts. However, little research has examined how future bird ranges may coincide with multiple stressors at a broad scale. Here, we assess the risk to 544 birds in the United States from future climate change threats under a mitigation-dependent global warming scenario of 1.5°C and an unmitigated scenario of 3.0°C. Threats considered included sea level rise, lake level change, human land cover conversion, and extreme weather events. We developed a gridded index of risk based on coincident threats, species richness, and richness of vulnerable species. To assign risk to individual species and habitat groups, we overlaid future bird ranges with threats to calculate the proportion of species’ ranges affected in both the breeding and non-breeding seasons. Nearly all species will face at least one new climate-related threat in each season and scenario analyzed. Even with lower species richness, the 3.0°C scenario had higher risk for species and groups in both seasons. With unmitigated climate change, multiple coincident threats will affect over 88% of the conterminous United States, and 97% of species could be affected by two or more climate-related threats. Some habitat groups will see up to 96% species facing three or more threats. However, climate change mitigation would reduce risk to birds from climate change-related threats across over 90% of the US. Across the threats included here, extreme weather events have the most significant influence on risk and the most extensive spatial coverage. Urbanization and sea level rise will also have disproportionate impacts on species relative to the area they cover. By incorporating threats into predictions of climate change impacts, this assessment provides a comprehensive picture of how climate change will affect birds and the places they need.


2021 ◽  
Author(s):  
Ted Hsuan Yun Chen ◽  
Boyoon Lee

Residential relocation following extreme weather events is among the costliest individual-level measures of climate change adaptation. Consequently, they are fraught with inequalities, with disadvantaged groups most adversely impacted. As climate change continues to exacerbate extreme weather events, it is imperative that we better understand how existing socioeconomic inequalities affect climate migration and how they may be offset. In this study we use network regression models to look at how internal migration patterns in the United States vary by disaster-related property damage, household income, and local-level disaster resilience. Our results show that post-disaster migration patterns vary considerably by the income level of sending and receiving counties, which suggests that income-based inequality impacts both access to relocation for individuals and the ability to rebuild for disaster-afflicted areas. We further find evidence that these inequalities are attenuated in areas with higher disaster resilience. However, because existing resilience incentivizes in situ incremental adaptation which can be a long term drain on individual wellbeing and climate adaptation resources, they should be balanced with policies that encourage relocation where appropriate.


2020 ◽  
Vol 30 ◽  
pp. 100285
Author(s):  
Yang Gao ◽  
Junxi Zhang ◽  
Feifan Yan ◽  
L. Ruby Leung ◽  
Kun Luo ◽  
...  

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