The City of Cambridge, Massachusetts, recognizes the value of the city's urban forest in terms of air quality, lower wind speeds, esthetics, energy conservation, reduced noise pollution, habitat value, decreased runoff, and bolstering of local businesses and property values. The density, composition, and location of street and city park trees comprising the urban forest will be influenced by future climate-driven extreme weather events. In this study, we have developed an approach for assessing impacts of multiple extreme weather scenarios likely to become more frequent under climate change and subsequently influence the composition of street and park trees. This potential for loss of trees as a result of one (or more) of these climaterelated extreme weather events is considered to be one indicator of the susceptibility of Cambridge's urban forest to climate-related weather events. The scenarios considered were a hurricane/tropical storm similar to tropical storm Sandy in 2012, heat stress, snow or ice loading (e.g., loss of tree limbs), Asian longhorn beetle or emerald ash borer infestations, and the cumulative effect from the addition of all these scenarios. The literature was used to assess the sensitivity of tree species to each threat and determine the anticipated loss of individuals from each species. The results are a reasonable indication of the more tolerant tree species in Cambridge and their locations. This assessment of susceptibility can inform proactive management of the urban forest.
A cumulative effect analysis (CEA) is a tool that can be utilized for the review of multiple anthropogenic projects or activities for the purposes of planning, regulation, conservation, or the general evaluation of environmental health. Such an assessment is problematic because spatially consistent and temporally repeated data informing the condition of a location are often not available. When such data can be identified, the potential response of that resource to additional impacts may be unpredictable. Despite these limitations, in many cases, it may be critical to identify those locations for further scrutiny which may be vulnerable to collective impacts from development or other environmental challenges. Here, we present an approach which considers the vulnerability of aquatic resources in relation to the anticipated effects of development-related activities that could be used to identify locations where the potential for cumulative effects is the greatest. This application considers CEA in the context of identifying where development-related activities of minimal impact may be viewed as relatively more substantial when viewed cumulatively. We identify HUC 8-level watersheds where the current resource condition and anticipated development-related activities may have greater potential to result in an impact on watershed condition (i.e., water quality, water quantity, and habitat value). The vulnerability of the watershed was estimated from the number, type, and location of a specific suite of reported activities. The existing condition of the watershed was measured as a function of existing assessments of resource conditions. The relationship between the vulnerability and the existing watershed condition was used to project future conditions and to identify watersheds that warrant further scrutiny. This is a unique approach to CEA which allows for transparent, repeatable identification of watersheds which may be adversely impacted by further activities or projects.
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