کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7461035 1484615 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Long-term monitoring of Sacramento Shade program trees: Tree survival, growth and energy-saving performance
ترجمه فارسی عنوان
نظارت طولانی مدت درختان برنامه ساکرامنتو: بقاء درخت، عملکرد رشد و صرفه جویی در انرژی
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
Long-term survival and growth of urban forests are critical to achieve the targeted benefits of urban tree planting programs, such as building energy savings from tree shade. However, little is known about how trees perform in the long-term, especially in residential areas. Given this gap in the literature, we monitored 22-years of post-planting survival, growth, and energy saving performance of shade trees in Sacramento, California. Using field surveys, aerial photo interpretation and survival analysis, we calculated cumulative survivorship and compared measured with projected tree growth. Using Shadow Pattern Simulator and Micropas (building energy simulation), combined with survival and growth observations, we modeled the current energy savings produced by the program trees and then compared this result with initial projections from the early years of the program. The 22-year post planting survivorship was 42.4%, considerably less than the initial projection. On average, measured growth rates were within expected ranges to provide shading benefits; 22-year old trees reached 74.6% and 68.8% of the projected 30-year mature size for tree heights and crown diameters, respectively. Annual energy savings were 107 kW h per property and 80 kW h per tree, which were 23% and 52% of the initial projection, respectively. Lower survivorship was the primary factor influencing lower cooling savings. Medium-sized trees had higher survivorship and growth attainment compared to other trees. This study contributes to more accurate quantification of urban greening performance, helping urban forest managers make data-driven decisions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Landscape and Urban Planning - Volume 143, November 2015, Pages 183-191
نویسندگان
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