Special feature: measuring components of ecological resilience in long-term ecological datasets.
Special feature: measuring components of ecological resilience in long-term ecological datasets.
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DOI：
10.1098/rsbl.2020.0881
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发表时间：
2021-01
期刊：
影响因子：
3.3
通讯作者：
Seddon AWR
中科院分区：
文献类型：
--
作者：
Seddon AWR
生态弹性已成为生态系统管理中的一个热点概念。古生态记录（即保存在沉积物中的亚化石）是研究生态恢复力的有用档案，因为它们可以用来重建生态系统特性的长期时间变化。这里介绍的特别功能包括来自PAGES EcoRe3社区成员和合作伙伴的九篇新论文。这些论文建立在以前的古生态学工作的基础上，在百年和千年的时间尺度上调查、识别和比较生态系统恢复力的组成部分。从专题论文的发现中可以总结出四个关键信息：(i)多代理研究揭示了对替代状态存在和机制的见解；（ii）不同状态之间的转换不一定是突然的；（三）可在长期生态数据中确定生态恢复力的组成部分；（四）古生态记录也可提供对影响生态系统功能恢复力的因素的见解。总的来说，这些论文证明了利用长期生态记录来解决与生态恢复力提供的理论框架相关的问题的重要性。
Ecological resilience has become a focal concept in ecosystem management. Palaeoecological records (i.e. the sub-fossil remains preserved in sediments) are useful archives to address ecological resilience since they can be used to reconstruct long-term temporal variations in ecosystem properties. The special feature presented here includes nine new papers from members and associates of the PAGES EcoRe3 community. The papers build on previous work in palaeoecology to investigate, identify and compare components of ecosystem resilience on centennial to millennial timescales. There are four key messages that can be summarized from the findings of papers within the special feature: (i) multi-proxy studies reveal insights into the presence and mechanisms of alternative states; (ii) transitions between alternative states may not necessarily be abrupt; (iii) components of ecological resilience can be identified in long-term ecological data and (iv) the palaeoecological record can also provide insights into factors influencing the resilience of ecosystem functioning. Overall, these papers demonstrate the importance of using long-term ecological records for addressing questions related to the theoretical framework provided by ecological resilience.
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影响因子：
16.8
作者：
Hillebrand H;Donohue I;Harpole WS;Hodapp D;Kucera M;Lewandowska AM;Merder J;Montoya JM;Freund JA
通讯作者：
Freund JA
影响因子：
16.6
作者：
Cole, Lydia E. S.;Bhagwat, Shonil A.;Willis, Katherine J.
通讯作者：
Willis, Katherine J.
影响因子：
3.3
作者：
Bonsall, Michael B.;Froyd, Cynthia A.;Jeffers, Elizabeth S.
通讯作者：
Jeffers, Elizabeth S.
影响因子：
2.4
作者：
Dearing, J. A.
通讯作者：
Dearing, J. A.
影响因子：
64.8
作者：
Wang, Rong;Dearing, John A.;Scheffer, Marten
通讯作者：
Scheffer, Marten