中文版 | English

在结果中检索

KIB OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共4条，第1-4条 帮助

限定条件                                
已选(0)清除 条数/页：   排序方式：
Compost Amended with N Enhances Maize Productivity and Soil Properties in Semi-Arid Agriculture 期刊论文
AGRONOMY JOURNAL, 2019, 卷号: 111, 期号: 5, 页码: 2536-2544
作者:  Iqbal, Shahid;  Arif, Muhammad Saleem;  Khan, Haroon Zaman;  Yasmeen, Tahira;  Thierfelder, Christian;  Li, Tang;  Khan, Sehroon;  Nadir, Sadia;  Xu, Jianchu
浏览  |  Adobe PDF(643Kb)  |  收藏  |  浏览/下载：161/51  |  提交时间：2019/10/28
Role of Traditional Ecological Knowledge and Seasonal Calendars in the Context of Climate Change: A Case Study from China 期刊论文
SUSTAINABILITY, 2019, 卷号: 11, 期号: 12, 页码: 22
作者:  Yang, Huizhao;  Ranjitkar, Sailesh;  Zhai, Deli;  Zhong, Micai;  Goldberg, Stefanie Daniela;  Salim, Muhammad Asad;  Wang, Zhenghong;  Jiang, Yi;  Xu, Jianchu
浏览  |  Adobe PDF(3992Kb)  |  收藏  |  浏览/下载：184/36  |  提交时间：2019/08/19
climate change  indigenous people  seasonal variation  traditional ecological knowledge  farming-decision  transhumance-decision  Taxkorgan  
Climbing the mountain fast but smart: Modelling rubber tree growth and latex yield under climate change 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 卷号: 439, 页码: 55-69
作者:  Yang, Xueqing;  Blagodatsky, Sergey;  Marohn, Carsten;  Liu, Hongxi;  Golbon, Reza;  Xu, Jianchu;  Cadisch, Georg
浏览  |  Adobe PDF(6753Kb)  |  收藏  |  浏览/下载：191/14  |  提交时间：2019/05/24
Landscape modelling  Land use change  Carbon sequestration  Planting density  Tree plantation  
Distribution margins as natural laboratories to infer species' flowering responses to climate warming and implications for frost risk 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 268, 页码: 299-307
作者:  Guo, Liang;  Wang, Jinghong;  Li, Mingjun;  Liu, Lu;  Xu, Jianchu;  Cheng, Jimin;  Gang, Chengcheng;  Yu, Qiang;  Chen, Ji;  Peng, Changhui;  Luedeling, Eike
浏览  |  Adobe PDF(2032Kb)  |  收藏  |  浏览/下载：277/45  |  提交时间：2019/04/15
Apple Flowering Phenology  Chilling Period  Climate Warming  Distribution Margin  Late Frost  Partial Least Squares Regression