The debate about the relative merits of the 'land-sparing' and 'land-sharing' approaches to biodiversity conservation is usually addressed at local scale. Here, however, we undertake a regional-scale approach to this issue by exploring the association between the Human Appropriation of Net Primary Production (HANPP) and biodiversity components (plants, amphibians, reptiles, birds and mammals) across a gradient of human-transformed landscapes in Catalonia, Spain. We propose an Intermediate Disturbance Complexity (IDC) model to assess how human disturbance of the photosynthetic capacity affects the landscape patterns and processes that host biodiversity. This model enables us to explore the association between social metabolism (HANPP), landscape structure (composition and spatial configuration) and biodiversity (species richness) by using Negative Binomial Regression (NBR), Exploratory Factor Analysis (EFA) and Structural Equation Modelling (SEM). The empirical association between IDC and landscape complexity and HANPP in Catalonia confirms the expected values of the intermediate disturbance hypothesis. There is some increase in biodiversity when high IDC values correspond to landscape mosaics. NBR and EFA show positive associations between species richness and increasing values of IDC and forest cover for all biodiversity groups except birds. SEM shows that total biodiversity is positively determined by forest cover and, to a lesser extent, by HANPP, and that both factors are negatively associated with each other. The results suggest that 'natural' landscapes (i.e. those dominated by forests) and agroforestry mosaics (i.e. heterogeneous landscapes characterized by a set of land uses possessing contrasting disturbances) provide a synergetic contribution to biodiversity conservation. This 'virtuous triangle' consisting of forest cover, HANPP and biodiversity illustrates the complex human-nature relationships that exist across landscape gradients of human transformation. This energy-landscape integrated analysis provides a robust assessment of the ecological impact of land-use policies at regional scale.
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http://dx.doi.org/10.1016/j.scitotenv.2017.11.196 | DOI Listing |
J Family Med Prim Care
November 2024
Department of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Coffee has long been popular worldwide. The rise in lifestyle-related diseases such as cardiovascular disease, diabetes, stroke, dementia, and others has motivated coffee usage and illness prevalence studies. Some studies show coffee consumers are at risk for such diseases, whereas others show its active components protect them.
View Article and Find Full Text PDFSci Total Environ
December 2024
Center for Climate Change Adaptation, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan. Electronic address:
Understanding multifaceted climate change risks and their interconnections is essential for effective adaptation strategies, which require comprehensive assessments of both climatic impact variations and social-environmental exposures/vulnerabilities. This study examines these interconnections and creates multitier delineations of future climate risks across Japan by overlaying homogeneous impact zones (HIZs) with exposure-vulnerability complexes (EVCs). We delineated eight EVC regions, each exhibiting similar patterns of exposure and vulnerability, via multivariate clustering and similarity search on the basis of future population and land cover/use data.
View Article and Find Full Text PDFSci Total Environ
December 2024
Department of Animal Science, University of California, Davis, CA 95616, USA. Electronic address:
The species-area relationship (SAR) is one of the oldest in ecology, linking the increase in species richness in sampling area. Later, new parameters were incorporated into its equation, such as taxon-specific responses, habitats use by species and species adapted to human-modified habitats, originating the Countryside SAR, a version intended to integrate the life cycle assessment (LCA) methodology, which is still inefficiencies when used to evaluate food production systems. Therefore, we present the first attempt to incorporate into Countryside SAR the minimum land demand parameter for food production, the food environmental footprint - EFP, and improve the use of the method within the agricultural sciences scope.
View Article and Find Full Text PDFBiodivers Data J
December 2024
Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Russia Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences Pushchino Russia.
Background: Earthworms are one of the most important components of temperate ecosystems and groups of soil animals globally, but data on their distribution around the world are still incomplete and uneven. Northern Eurasia is a region for which available data on earthworm distribution is extremely poor. At the same time, generations of Soviet and Russian researchers have performed extensive research and accumulated a large amount of data on the distribution of earthworms in this vast region.
View Article and Find Full Text PDFHeliyon
December 2024
Evolved.Bio, 280 Joseph Street, Kitchener, Ontario, Canada.
Omics techniques, such as proteomics, contain crucial data for understanding biological processes, but they remain underutilized due to their high dimensionality. Typically, proteomics research focuses narrowly on using a limited number of datasets, hindering cross-study comparisons, a problem that can potentially be addressed by machine learning. Despite this potential, machine learning has seen limited adoption in the field of proteomics.
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