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  • 1
    Publication Date: 2014-01-25
    Description: Given that forests represent the primary terrestrial sink for atmospheric CO 2 , projections of future carbon (C) storage hinge on forest responses to climate variation. Models of gross primary production (GPP) responses to water stress are commonly based on remotely sensed changes in canopy “greenness” (e.g. normalized difference vegetation index; NDVI). However, many forests have low spectral sensitivity to water stress (SSWS) – defined here as drought-induced decline in GPP without a change in greenness. Current satellite-derived estimates of GPP use a vapor pressure deficit (VPD) scalar to account for the low SWSS of forests, but fail to capture their responses to water stress. Our objectives were to characterize differences in SSWS among forested and non-forested ecosystems, and to develop an improved framework for predicting the impacts of water stress on GPP in forests with low SSWS. First, we paired two independent drought indices with NDVI data for the conterminous US from 2000-2011, and examined the relationship between water stress and NDVI. We found that forests had lower SSWS than non-forests regardless of drought index or duration. We then compared satellite-derived estimates of GPP with eddy-covariance observations of GPP in two deciduous broadleaf forests with low SSWS: the Missouri Ozark (MO) and Morgan Monroe State Forest (MMSF) AmeriFlux sites. Model estimates of GPP that used VPD scalars were poorly correlated with observations of GPP at MO (r 2 =0.09) and MMSF (r 2 =0.38). When we included the NDVI responses to water stress of adjacent ecosystems with high SSWS into a model based solely on temperature and greenness, we substantially improved predictions of GPP at MO (r 2 =0.83) and for an extreme drought year at the MMSF (r 2 = 0.82). Collectively, our results suggest that large-scale estimates of GPP that capture variation in SSWS among ecosystems could improve predictions of C uptake by forests under drought. This article is protected by copyright. All rights reserved.
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley-Blackwell
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  • 2
    Publication Date: 2022-02-18
    Description: This report examines the role of waste management in the context of a circular economy transition. Key challenges relate to moving beyond the perception of "waste as a problem" to "waste as a resource". To this end high levels of cooperation are needed between the waste industry and enterprises engaged in circular economy business models. Collecting high quality waste streams for re-use, remanufacturing and recycling also requires citizen engagement and integrated infrastructure development from the municipal to the EU level. Ultimately, both waste prevention as well as a widespread growth in circular economy activities will require a coherent and holistic approach that takes recovery options into account at every stage of the product life cycle. Co-benefits will include reducing environmental burden as well as creating both high-skilled and low-skilled jobs for an inclusive, green economy. In concrete terms, this report examines five waste streams identified in the EU's Circular Economy Action Plan: municipal waste, packaging waste, food waste, bio-waste and critical raw materials. It looks at the current state of policy development, presents trends and data comparing Member State performance, reviews the state of technological development, and assesses employment opportunities relevant to each waste stream in the overarching context of assessing progress toward the circular economy transition in the EU. Case studies of specific options for collecting and treating waste based on experiences in Denmark, Italy and Slovenia complement the more macro-level analysis of trends. Finally, key policy options are identified, in particular focused on ways to prevent waste, align circular economy and waste management objectives and improve the quality and reliability of indicators toward more robust monitoring.
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: report , doc-type:report
    Format: application/pdf
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