Regime shifts in a shallow lake over 12 years: consequences for taxonomic and functional diversity, and ecosystem multifunctionality

2021 ◽  
Author(s):  
Dieison A. Moi ◽  
Gustavo Q. Romero ◽  
Erik Jeppesen ◽  
Pavel Kratina ◽  
Diego C. Alves ◽  
...  
Keyword(s):  
Functional Diversity ◽  
Shallow Lake ◽  
Regime Shifts ◽  
Ecosystem Multifunctionality

Regime shifts in shallow lake ecosystems along an urban-rural gradient in central China

2020 ◽  
Vol 733 ◽  
pp. 139309
Author(s):  
Yanmin Cao ◽  
Peter Langdon ◽  
Xu Chen ◽  
Chunling Huang ◽  
Yi Yan ◽  
...  
Keyword(s):  
Shallow Lake ◽  
Regime Shifts ◽  
Central China ◽  
Lake Ecosystems ◽  
Urban Rural

The altered ecology of Lake Christina: A record of regime shifts, land-use change, and management from a temperate shallow lake

2012 ◽  
Vol 433 ◽  
pp. 336-346 ◽  
Author(s):  
Kevin M. Theissen ◽  
William O. Hobbs ◽  
Joy M. Ramstack Hobbs ◽  
Kyle D. Zimmer ◽  
Leah M. Domine ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Shallow Lake ◽  
Regime Shifts

scholarly journals Functional diversity enhances the resistance of ecosystem multifunctionality to aridity in Mediterranean drylands

2015 ◽  
Vol 206 (2) ◽  
pp. 660-671 ◽  
Author(s):  
Enrique Valencia ◽  
Fernando T. Maestre ◽  
Yoann Le Bagousse-Pinguet ◽  
José Luis Quero ◽  
Riin Tamme ◽  
...  
Keyword(s):  
Functional Diversity ◽  
Ecosystem Multifunctionality

scholarly journals Selective logging enhances ecosystem multifunctionality via increase of functional diversity in a Pinus yunnanensis forest in Southwest China

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Xiaobo Huang ◽  
Shuaifeng Li ◽  
Jianrong Su
Keyword(s):  
Functional Diversity ◽  
Significant Positive Correlation ◽  
Abiotic Factors ◽  
Selective Logging ◽  
Ecosystem Functions ◽  
Equation Modeling ◽  
Control Group ◽  
Positive Correlation ◽  
Pinus Yunnanensis ◽  
Ecosystem Multifunctionality

Abstract Background The impacts of selective logging on ecosystem multifunctionality (EMF) remain largely unexplored. In this study, we analyzed the response of nine variables related to four ecosystem functions (i.e. nutrient cycling, soil carbon stocks, decomposition, and wood production) to five selective logging intensities in a Pinus yunnanensis-dominated forest. We included a control group with no harvest to evaluate the potential shifts in EMF of the P. yunnanensis forests. We also assessed the relationship between above- and belowground biodiversity and EMF under these different selective logging intensities. Additionally, we evaluated the effects of biotic and abiotic factors on EMF using a structural equation modeling (SEM) approach. Results Individual ecosystem functions (EFs) all had a significant positive correlation with selective logging intensity. Different EFs showed different patterns with the increase of selective logging intensity. We found that EMF tended to increase with logging intensity, and that EMF significantly improved when the stand was harvested at least twice. Both functional diversity and soil moisture had a significant positive correlation with EMF, but soil fungal operational taxonomic units (OTUs) had a significant negative correlation with EMF. Based on SEM, we found that selective logging improved EMF mainly by increasing functional diversity. Conclusion Our study demonstrates that selective logging is a good management technique from an EMF perspective, and thus provide us with potential guidelines to improve forest management in P. yunnanensis forests in this region. The functional diversity is maximized through reasonable selective logging measures, so as to enhance EMF.

scholarly journals Thinning enhances ecosystem multifunctionality via increase of functional diversity in a Pinus yunnanensis natural secondary forest

2020 ◽  
Author(s):  
Xiaobo Huang ◽  
Shuaifeng Li ◽  
Jianrong Su
Keyword(s):  
Functional Diversity ◽  
Significant Positive Correlation ◽  
Secondary Forest ◽  
Ecosystem Functions ◽  
Control Group ◽  
Positive Correlation ◽  
Thinning Intensity ◽  
Natural Secondary Forest ◽  
Pinus Yunnanensis ◽  
Ecosystem Multifunctionality

Abstract Background: The impacts of thinning on ecosystem multifunctionality (EMF) remain largely unexplored. In this study, we analyzed nine variables related to four ecosystem functions (nutrient cycling, soil carbon stocks, decomposition, and wood production) under five thinning intensities. We included a control group to evaluate the shift in EMF of a Pinus yunnanensis natural secondary forest. We also assessed the relationship between above- and belowground biodiversity and EMF under these different thinning intensities. Additionally, we evaluated the effects of biotic and abiotic factors on EMF with the structural equation model (SEM). Results: We found that EMF tended to increase with thinning intensity, and that thinning significantly improved EMF except the low intensity of thinning. Individual ecosystem functions (EFs) all had a significant positive correlation with thinning intensity. Different EFs showed different patterns with the increase of thinning intensity: the nutrient cycling and the soil carbon stock of thinning three times and five times were significantly greater than other thinning intensities and control group; decomposition correlated directly to the increase of thinning intensity; the wood production of the fourth thinning was greatest. Thinning intensity had a significant positive correlation with functional diversity and soil moisture. Both functional diversity and soil moisture had a significant positive correlation with EMF, but soil fungal operational taxonomic units (OTUs) had a significant negative correlation with EMF. Based on SEM, we found that thinning improved EMF mainly by increasing functional diversity. Conclusion: Our study both demonstrates that thinning is a good management technique from an EMF perspective, and provides an input to improve management of a P. yunnanensis natural secondary forest.

scholarly journals Inferring the occurrence of regime shifts in a shallow lake during the last 250 years based on multiple indicators

2020 ◽  
Vol 117 ◽  
pp. 106536
Author(s):  
María de los Ángeles González Sagrario ◽  
Simona Musazzi ◽  
Francisco Elizalde Córdoba ◽  
Manuela Mendiolar ◽  
Andrea Lami
Keyword(s):  
Shallow Lake ◽  
Regime Shifts ◽  
Multiple Indicators
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