دانلود مقاله ISI انگلیسی شماره 154713
ترجمه فارسی عنوان مقاله

تعاملات چند سایت: درک اثرات بیرونی تغییر کاربری زمین در استفاده و عرضه خدمات اکوسیستم

عنوان انگلیسی
Multi-site interactions: Understanding the offsite impacts of land use change on the use and supply of ecosystem services
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
154713 2017 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Ecosystem Services, Volume 23, February 2017, Pages 158-164

ترجمه کلمات کلیدی
تغییر کاربری زمین، دینامیک فضایی، گرده افشانی محصول، کاهش سیل، محصولات غیر جنگلی جنگل، تفریح ​​مبتنی بر طبیعت،
کلمات کلیدی انگلیسی
Land use change; Spatial dynamics; Crop pollination; Flood mitigation; Non-timber forest products; Nature-based recreation;
پیش نمایش مقاله
پیش نمایش مقاله  تعاملات چند سایت: درک اثرات بیرونی تغییر کاربری زمین در استفاده و عرضه خدمات اکوسیستم

چکیده انگلیسی

Managing the impacts of land use change on ecosystem services is essential to secure human wellbeing; but is a task often complicated by landscape-scale spatial dynamics. In this study, we focus on one type of spatial dynamic: multi-site interactions (MSI), which we define to occur when a change in the supply or use of an ecosystem service at one site affects that service at a second site. In search of empirical evidence of MSI, we reviewed 150 papers on one ecosystem service—nature-based recreation. We found many studies assessed impacts of land use change on this ecosystem service, but only 2% of studies quantified changes in its supply or use across multiple sites. Given this limited evidence in the literature, we propose a novel framework to describe the pathways through which MSI emerge and their likely consequences for ecosystem services across multiple sites. We illustrate the utility of this framework for understanding impacts on three other services: crop pollination, fuel wood production and flood mitigation. Obtaining empirical evidence of MSI is an important next step in ecosystem service science, which will help identify when interactions among sites emerge and how they can be best managed.