全文获取类型
收费全文 | 304篇 |
免费 | 6篇 |
国内免费 | 3篇 |
专业分类
安全科学 | 6篇 |
废物处理 | 11篇 |
环保管理 | 29篇 |
综合类 | 39篇 |
基础理论 | 86篇 |
环境理论 | 1篇 |
污染及防治 | 93篇 |
评价与监测 | 25篇 |
社会与环境 | 18篇 |
灾害及防治 | 5篇 |
出版年
2023年 | 4篇 |
2022年 | 10篇 |
2021年 | 7篇 |
2020年 | 7篇 |
2019年 | 11篇 |
2018年 | 9篇 |
2017年 | 9篇 |
2016年 | 25篇 |
2015年 | 9篇 |
2014年 | 21篇 |
2013年 | 29篇 |
2012年 | 16篇 |
2011年 | 28篇 |
2010年 | 20篇 |
2009年 | 23篇 |
2008年 | 17篇 |
2007年 | 15篇 |
2006年 | 9篇 |
2005年 | 9篇 |
2004年 | 6篇 |
2003年 | 1篇 |
2002年 | 4篇 |
2001年 | 3篇 |
2000年 | 3篇 |
1999年 | 4篇 |
1997年 | 1篇 |
1996年 | 2篇 |
1995年 | 3篇 |
1994年 | 1篇 |
1993年 | 2篇 |
1991年 | 1篇 |
1987年 | 1篇 |
1986年 | 1篇 |
1981年 | 1篇 |
1972年 | 1篇 |
排序方式: 共有313条查询结果,搜索用时 15 毫秒
311.
Ojeda Juan Pablo Mercante Irma Teresa 《Journal of Material Cycles and Waste Management》2023,25(5):2753-2765
Journal of Material Cycles and Waste Management - Plastic waste management is of global concern while construction industry keeps searching for innovations to become more sustainable. In this... 相似文献
312.
Chiaia-Hernández Aurea C. Casado-Martinez Carmen Lara-Martin Pablo Bucheli Thomas D. 《Environmental science and pollution research international》2022,29(57):85761-85765
Environmental Science and Pollution Research - 相似文献
313.
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