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Trees as hotspots:Using forests,trees,and agroforestry to foster diverse sustainable landscapes

Circular Agricultural Systems 2022年第1期2卷 30-37页

作者： Vincent Gitz Jianchu Xu Yuanchang Lu Elaine Springgay Illias Animon Razan Khalifa Al Mubarak Robert Nasi tony simons Ranjit Barthakur Ren Wang Jianrong Su Fergus Sinclair Eduardo Somarriba Dossa G.O.Gbadamassi Ramni Jamnadass Christopher JKettle Dengpan Bu Anja Gassner Yves Laumonier Mi Zhou Himlal Baral Fangyuan Hua Peter AMinang Yufu Guo Michael Allen Brady Yanxia Li Peter Mortimer Bin Yang Heng Gui Fiona Worthy Deli Zhai Huafang Chen Huili Li Yufang Su Alexandre Meybeck Fabio Ricci CIFOR-ICRAF Bogor 16115Indonesia Center for Mountain Futures Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China CIFOR-ICRAF China Program World AgroforestryKunming 650201China State Key Laboratory of Animal Nutrition Institute of Animal SciencesChinese Academy of Agricultural SciencesBeijing 100081China Research Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing 100091China Food and Agriculture Organization of the United Nations(FAO) Rome 00153Italy Food and Agriculture Organization of the United Nations(FAO) Bangkok 10200Thailand Mohamed bin Zayed Species Conservation Fund Abu Dhabi 131112United Arab Emirates Balipara Foundation GuwahatiAssam 781024India China National Gene Bank Shenzhen 518083China Research Institute of Resource Insects Chinese Academy of ForestryKunming 650233China World Agroforestry Centre(ICRAF) United Nations AvenueGigiriP.O.Box 30677-00100NairobiKenya CATIE Turrialba 30501Costa Rica Xishuangbanna Tropical Botanical Garden Chinese Academy of SciencesMengla 666303China Bioversity International Rome 00153Italy Global Landscapes Forum CIFOR gmbHCharles-de-Gaulle-Straße 553113 BonnGermany Institute of American and Oceania Study Chinese Academy of International Trade and Economic CooperationMinistry of CommerceBeijingChina Institute of Ecology Peking UniversityBeijing 100871China National Forestry and Grassland Administration Beijing 100714China International Network for Bamboo and Rattan(INBAR) Beijing 100102China Yunnan University Kunming 650500China Editorial Office of Biological Science Institute of BotanyChinese Academy SciencesBeijing 100093China

Forests,trees,and agroforestry(FTA)are ecosystem hotspots.They exemplify the contributions of biodiversity to sustainable and resilient landscapes,green circular economy and to sustainable agriculture and food systems for healthy diets.However,most research on these topics have been performed separately and lack comparison.The International FTA-Kunming Conference'Forests,trees and agroforestry for diverse sustainable landscapes'22nd–24th June 2021,focused on these contributions,brought together scientists NGOs,and policy makers to further the understanding of tree diversity;provided a communication platform for scientists to share their research results;evaluated the role of tree diversity in agroecology and circular agriculture;assessed benefits of landscape restoration;and explored applied research in mountain ecosystems and food security.The goals were to gather evidence that ground the design of solutions that can contribute to the implementation of the post 2020 Global Biodiversity Framework and towards the UN Food Systems Summit,and the overall implementation of the SDGs.This paper summarizes the outcomes of the international FTA Conference in Kunming 2021 and points out the highlights of research involved in six major themes.

关键词： landscape sustainable diverse

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Time-dependent reliability analysis for repairable consecutive-k-out-of-n:F system

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Statistical Theory and Related Fields 2022年第2期6卷 139-147页

作者： Gökhan Gökdere Hon Keung tony Ng Department of Statistics Faculty of ScienceFırat UniversityElazıgTurkey Department of Statistical Science Southern Methodist UniversityDallasTXUSA

In a repairable consecutive C(k,n:F)system,after the system operates for a certain time,some components may fail,some failed components may be repaired and the state of the system may change.The models developed in the existing literature usually assume that the state of the sys-tem varies over time depending on the values of n and k and the state of the system is known.Since the system reliability will vary over time,it is of great interest to analyse the time-dependent system reliability.In this paper,we develop a novel and simple method that utilizes the eigen-values of the transition rate matrix of the system for the computation of time-dependent system reliability when the system state is known.In addition,the transition performance probabilities of the system from a known state to the possible states are also analysed.Computational results are presented to illustrate the applicability and accuracy of the proposed method.

关键词： Repairable consecutive-k-out-of-n:F system transition rate matrix time-dependent reliability time-dependent transition performance probability

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