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  • English  (2)
  • Biodiversity Research  (2)
  • 1
    Online Resource
    Online Resource
    Wiley ; 2007
    In:  Austral Ecology Vol. 32, No. 4 ( 2007-06), p. 453-475
    In: Austral Ecology, Wiley, Vol. 32, No. 4 ( 2007-06), p. 453-475
    Abstract: Abstract  The aim of this study was to identify a practical and defensible set of ecosystem attributes to form the basis of natural variability benchmarks for natural resource managers needing to determine the status of patch‐scale species‐level biodiversity within woodland and forest ecosystems. We used a form of multicriteria analysis (the analytic hierarchy process, AHP) to record and analyse the knowledge and opinions of 31 Australian ecologists on those ecosystem attributes considered most important as biodiversity surrogates, and those that were considered most feasible to assess. From a pool of 13 landscape context attributes and 62 vegetation condition attributes, practical and defensible attribute sets were identified based on AHP importance and feasibility weights and associated statistical analyses. Experts considered that, on average, landscape context attributes should contribute approximately one‐third (0.36) to an assessment of within‐vegetation‐type species‐level biodiversity status, and vegetation condition attributes should contribute the remaining two‐thirds (0.64). Our analyses did, however, find a correlation between these importance weights and the spatial scales at which experts worked. The landscape context attributes: patch size, distance to nearest large patch , and connectivity were considered significantly more important than other attributes; however, connectivity received a significantly lower feasibility weight. A minimum set of 11 compositional, structural and functional vegetation condition attributes were identified: richness of native trees; cover of native trees, shrubs and perennial grasses; cover of exotic shrubs, perennial grasses, legumes and forbs; cover of organic litter; recruitment of native tree/shrub saplings; native tree health; and evidence of grazing . We compare our minimum sets of attributes with other published sets, and briefly discuss the issues surrounding the incorporation of attributes into natural variability benchmarks from which indices of terrestrial species‐level biodiversity status of woodland and forest patches can be determined.
    Type of Medium: Online Resource
    ISSN: 1442-9985 , 1442-9993
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2007
    detail.hit.zdb_id: 2095166-8
    detail.hit.zdb_id: 2019899-1
    SSG: 12
    SSG: 14
    SSG: 7,29
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  • 2
    Online Resource
    Online Resource
    Proceedings of the National Academy of Sciences ; 2017
    In:  Proceedings of the National Academy of Sciences Vol. 114, No. 12 ( 2017-03-21)
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 114, No. 12 ( 2017-03-21)
    Abstract: The sensitivity of agricultural productivity to climate has not been sufficiently quantified. The total factor productivity (TFP) of the US agricultural economy has grown continuously for over half a century, with most of the growth typically attributed to technical change. Many studies have examined the effects of local climate on partial productivity measures such as crop yields and economic returns, but these measures cannot account for national-level impacts. Quantifying the relationships between TFP and climate is critical to understanding whether current US agricultural productivity growth will continue into the future. We analyze correlations between regional climate variations and national TFP changes, identify key climate indices, and build a multivariate regression model predicting the growth of agricultural TFP based on a physical understanding of its historical relationship with climate. We show that temperature and precipitation in distinct agricultural regions and seasons explain ∼70% of variations in TFP growth during 1981–2010. To date, the aggregate effects of these regional climate trends on TFP have been outweighed by improvements in technology. Should these relationships continue, however, the projected climate changes could cause TFP to drop by an average 2.84 to 4.34% per year under medium to high emissions scenarios. As a result, TFP could fall to pre-1980 levels by 2050 even when accounting for present rates of innovation. Our analysis provides an empirical foundation for integrated assessment by linking regional climate effects to national economic outcomes, offering a more objective resource for policy making.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
    RVK:
    RVK:
    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2017
    detail.hit.zdb_id: 209104-5
    detail.hit.zdb_id: 1461794-8
    SSG: 11
    SSG: 12
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