Boosting the use of spectral heterogeneity in the impact assessment of agricultural land use on biodiversity

作者: Benedetto Rugani , Duccio Rocchini

DOI: 10.1016/J.JCLEPRO.2016.09.018

关键词:

摘要: Abstract No consensus has been yet achieved among Life Cycle Assessment (LCA) practitioners on how to assess the impact biodiversity due land uses and use changes, in particular with regard agricultural areas. In domain of nature conservation landscape ecology, spectral heterogeneity (SH) derived from remotely sensed imagery is considered a viable proxy for species diversity detection. The assessment rationale based ‘spectral variation hypothesis’: higher variability, ecological community diversity, occupying different niches. Our hypothesis that SH can be effective improve or complement current Impact Assessment−LCIA practice loss evaluation driven by use. Hence, we aim here explore this assumption computing at local scale crops cultivation Southern Alps (Trentino province, Italy), then combining information over 30 years. We observe analyse relationships between cover maps habitat time spatial resolutions. This allows us argue about robustness potential surrogate environmental nuances variability detection LCIA.

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