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501.
Tschoeke Isabelle Cristine Prohmann Fraga Tiago José Marques da Silva Maryne Patrícia Costa e Souza Thibério Pinho Chinelate Gerla Castello Branco 《Journal of Material Cycles and Waste Management》2023,25(5):2809-2821
Journal of Material Cycles and Waste Management - In this work, biogas was synthesized from malt enriched-craft beer bagasse with the objective to generate clean energy. Thus, a kinetic model based... 相似文献
502.
Pablo V. Prieto Jacob J. Bukoski Felipe S. M. Barros Hawthorne L. Beyer Alvaro Iribarrem Pedro H. S. Brancalion Robin L. Chazdon David B. Lindenmayer Bernardo B. N. Strassburg Manuel R. Guariguata Renato Crouzeilles 《Conservation biology》2022,36(3):e13842
Natural forest regrowth is a cost-effective, nature-based solution for biodiversity recovery, yet different socioenvironmental factors can lead to variable outcomes. A critical knowledge gap in forest restoration planning is how to predict where natural forest regrowth is likely to lead to high levels of biodiversity recovery, which is an indicator of conservation value and the potential provisioning of diverse ecosystem services. We sought to predict and map landscape-scale recovery of species richness and total abundance of vertebrates, invertebrates, and plants in tropical and subtropical second-growth forests to inform spatial restoration planning. First, we conducted a global meta-analysis to quantify the extent to which recovery of species richness and total abundance in second-growth forests deviated from biodiversity values in reference old-growth forests in the same landscape. Second, we employed a machine-learning algorithm and a comprehensive set of socioenvironmental factors to spatially predict landscape-scale deviation and map it. Models explained on average 34% of observed variance in recovery (range 9–51%). Landscape-scale biodiversity recovery in second-growth forests was spatially predicted based on socioenvironmental landscape factors (human demography, land use and cover, anthropogenic and natural disturbance, ecosystem productivity, and topography and soil chemistry); was significantly higher for species richness than for total abundance for vertebrates (median range-adjusted predicted deviation 0.09 vs. 0.34) and invertebrates (0.2 vs. 0.35) but not for plants (which showed a similar recovery for both metrics [0.24 vs. 0.25]); and was positively correlated for total abundance of plant and vertebrate species (Pearson r = 0.45, p = 0.001). Our approach can help identify tropical and subtropical forest landscapes with high potential for biodiversity recovery through natural forest regrowth. 相似文献
503.
Castellanos Reynel M. Presumido Pedro H. Dezotti Márcia Vilar Vítor J.P. 《Environmental science and pollution research international》2022,29(28):42157-42167
Environmental Science and Pollution Research - This work highlights the performance of an ultrafiltration ceramic membrane as photocatalyst support and oxidant-catalyst/water contactor to promote... 相似文献
504.
Bragagnolo Lucimara Prietto Pedro Domingos Marques Korf Eduardo Pavan 《Environmental science and pollution research international》2022,29(59):88440-88460
Environmental Science and Pollution Research - Significant amounts of mining tailings are generated and disposed of every year in dams, leading to potentially serious environmental and safety... 相似文献
505.
Nicácio Pedro H. M. Severo Amanda M. C. Barros Ana B. S. Albuquerque Ananda K. C. Wellen Renate M. R. Koschek Katharina 《Journal of Polymers and the Environment》2022,30(9):3840-3851
Journal of Polymers and the Environment - Poly(lactic acid) (PLA) and PLA/5% Babassu compounds were molten mixed, afterwards aged at temperatures ranging from 50 to 90 °C during 15 to... 相似文献