Research

@article{Sun2022b,

title = {Global Human Consumption Threatens Key Biodiversity Areas},

author = {Zhongxiao Sun and Paul Behrens and Arnold Tukker and Martin Bruckner and Laura Scherer},

doi = {10.1021/acs.est.2c00506},

issn = {15205851},

year  = {2022},

date = {2022-01-01},

journal = {Environmental Science and Technology},

abstract = {Key biodiversity areas (KBAs) are critical regions for preserving global biodiversity. KBAs are identified by their importance to biodiversity rather than their legal status. As such, KBAs are often under pressure from human activities. KBAs can encompass many different land-use types (e.g., cropland, pastures) and land-use intensities. Here, we combine a global economic model with spatial mapping to estimate the biodiversity impacts of human land use in KBAs. We find that global human land use within KBAs causes disproportionate biodiversity losses. While land use within KBAs accounts for only 7% of total land use, it causes 16% of the potential global plant loss and 12% of the potential global vertebrate loss. The consumption of animal products accounts for more than half of biodiversity loss within KBAs, with housing the second largest at around 10%. Bovine meat is the largest single contributor to this loss, at around 31% of total biodiversity loss. In terms of land use, lightly grazed pasture contributes the most, accounting for around half of all potential species loss. This loss is concentrated mainly in middle- and low-income regions with rich biodiversity. International trade is an important driver of loss, accounting for 22-29% of total potential plant and vertebrate loss. Our comprehensive global, trade-linked analysis provides insights into maintaining the integrity of KBAs and global biodiversity.},

keywords = {biodiversity loss, countryside species-area relationship, international trade, land-use intensity, multiregional input-output analysis},

pubstate = {published},

tppubtype = {article}

}

@article{Zhong2021ab,

title = {Global greenhouse gas emissions from residential and commercial building materials and mitigation strategies to 2060},

author = {Xiaoyang Zhong and Mingming Hu and Sebastiaan Deetman and Bernhard Steubing and Hai Xiang Lin and Glenn Aguilar Hernandez and Carina Harpprecht and Chunbo Zhang and Arnold Tukker and Paul Behrens},

url = {https://doi.org/10.1016/j.rser.2022.112677 https://doi.org/10.1016/j.energy.2022.123339 https://doi.org/10.1016/j.oneear.2021.12.011 https://doi.org/10.1016/j.ecolecon.2022.107339 https://doi.org/10.1016/j.jclepro.2021.127098 https://doi.org/10.1016/j.sci},

doi = {10.1038/s41467-021-26212-z},

issn = {20411723},

year  = {2021},

date = {2021-07-01},

journal = {Nature Communications},

volume = {12},

number = {1},

pages = {1–10},

publisher = {Elsevier Ltd},

address = {Copenhangen},

edition = {1},

abstract = {Building stock growth around the world drives extensive material consumption and environmental impacts. Future impacts will be dependent on the level and rate of socioeconomic development, along with material use and supply strategies. Here we evaluate material-related greenhouse gas (GHG) emissions for residential and commercial buildings along with their reduction potentials in 26 global regions by 2060. For a middle-of-the-road baseline scenario, building material-related emissions see an increase of 3.5 to 4.6 Gt CO2eq yr-1 between 2020–2060. Low- and lower-middle-income regions see rapid emission increase from 750 Mt (22% globally) in 2020 and 2.4 Gt (51%) in 2060, while higher-income regions shrink in both absolute and relative terms. Implementing several material efficiency strategies together in a High Efficiency (HE) scenario could almost half the baseline emissions. Yet, even in this scenario, the building material sector would require double its current proportional share of emissions to meet a 1.5 °C-compatible target.},

keywords = {Acoustic measurements, adaptation measure, Animal husbandry, Beach sampling, Beach sediment, beach sediment citizen science, Benefits, biodiversity impacts, biodiversity loss, Black carbon, capital investment, Carbon emissions, Caribbean, China, china-us trade conflicts, circular economy, Citizen science, climate change, CO2 emissions, CO2emissions, Community, Complex terrain, Concentrated solar power, Consultation, Consumption structure, countryside species-area relationship, Cress (Lepidium sativum), Decomposition analysis, Decoupling analysis, Desulfurization technologies, Economic and social impacts, Electricity generation, Electricity sector, Electricity system, Emission projections, energy footprint, Energy models, Energy scenarios, Energy systems, Energy technology, Energy transition, energy use, energy water nexus, Energy-water nexus, Environmental, Environmental impact, environmental inequality, Environmental Justice, Environmentally extended multiregional input-outpu, EU countries, Europe, Exposure concentration, Extraction, Feed-in tariffs, Feedback and spillover effects, Flow curvature, food system, Historical drivers, Household carbon emissions, Household GHG footprints, human development, Hybrid input-output analysis, Hydraulic unbalanced forces, hydro-turbine governing system, Hydroelectric generating systems, Income inequality, Industrial CO2 emissions, industrial ecology, Input-output analysis, input–output analysis, international trade, Investment, Investment and opportunity costs, Land, Land degradation, land-use intensity, Learning curve, Lesser Antilles, Lidar observations, Lidars, Life cycle assessment, Low-carbon electricity technology, Material footprint, Mathematical model, Method standardization, Microplastics, Mineral resources, Mining, Modal interactions, MRIO model, Multi-regional input-output (MRIO) analysis, Multi-Regional Input-Output Analysis, Multi-regional input-output model, multiregional input-output analysis, Nano- and micron-sized plastics, Non-fossil electricity, Operational, Perceptions, Plastic pollution, Policy goals, Poverty, Power density, power generation, Power plants, Power transmission, Primary crops, Public transit, Rebound, Remote sensing, renewable energy policy, resource efficiency, Responsibility Sharing, Sectoral analysis, Sharing economy, SO2 emission reduction, Socio-economic impact, Sodar, Solar energy, Spatial decomposition analysis, Spatial impact, Spatially explicit, Standard operating procedure, Sublethal impacts, Subnational, Subsystem input-output model, Sustainable consumption, techno-economic evaluation, Terrestrial systems, thermal emissions, Urban-rural differences, Urbanization, Vascular plant, Vulnerable passengers, water basin, water consumption, Water footprint, Water scarcity, Wind, Wind energy},

pubstate = {published},

tppubtype = {article}

}