气候变化领域集成服务门户(CCPortal): Methods for highlighting ecological monitoring needs in data-sparse regions: a case study of impact assessment for multi-component infrastructure installations

CCPortal

DOI	10.1016/j.eiar.2024.107433
	Methods for highlighting ecological monitoring needs in data-sparse regions: a case study of impact assessment for multi-component infrastructure installations
	Mitchell, Lucy J.; Williamson, Benjamin J.; Masden, Elizabeth A.
发表日期	2024
ISSN	0195-9255
EISSN	1873-6432
起始页码	105
卷号	105
英文摘要	The drive globally to develop more efficient, low-cost renewable energy generating devices to combat climate change, means there are often novel technologies being installed whose environmental effects are unquantified. Frequently, a lack of quantification of such device parameters is compounded by a lack of ecological data, which would facilitate Environmental Impact Assessments (EIAs). This absence of fundamental information may lead to unfocused, unstandardised, costly and time-consuming EIAs. For such cases where both energy device and ecological data are missing, we propose a streamlined desk -based scoping process to direct survey and monitoring efforts. We combined a series of flexible methods, transferable to multiple locations and scenarios; a Activity-Pressure-Stressor framework and associated impact pathways, a Weight of Evidence (WoE) analysis and a Receptor Sensitivity Index (RSI). These were parameterised using data obtained from the literature, with a standardised, robust process and format. This process enabled many potential impact pathways, with unknown consequences, to be robustly consolidated and assessed for their likelihood given the location and conditions, yet these methods have not been previously explicitly combined. Our combined assessment methods identified the most likely impact pathways, and particular taxa that were sensitive to the renewable energy development concerned, and although we found that the lack of consistent, standardised data meant that the scale and strength of species responses remained uncertain, we were able to produce clear monitoring goals to increase efficiency of EIAs. We recommend that this combination of methods is employed when faced with a 'blank canvas' scenario, to standardise the scoping procedure and focus standardised data collection and improve environmental impact assessment.
英文关键词	EIA; Weight -of -evidence; Cumulative impacts; Renewable energy
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001174766000001
来源期刊	ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299134
作者单位	UHI Millennium Institute
推荐引用方式 GB/T 7714	Mitchell, Lucy J.,Williamson, Benjamin J.,Masden, Elizabeth A.. Methods for highlighting ecological monitoring needs in data-sparse regions: a case study of impact assessment for multi-component infrastructure installations[J],2024,105.
APA	Mitchell, Lucy J.,Williamson, Benjamin J.,&Masden, Elizabeth A..(2024).Methods for highlighting ecological monitoring needs in data-sparse regions: a case study of impact assessment for multi-component infrastructure installations.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,105.
MLA	Mitchell, Lucy J.,et al."Methods for highlighting ecological monitoring needs in data-sparse regions: a case study of impact assessment for multi-component infrastructure installations".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 105(2024).