The relative importance of introduced fishes, habitat characteristics, and land use for endemic shrimp occurrence in brackish anchialine pool ecosystems

Hydrobiologia ◽  
2015 ◽  
Vol 758 (1) ◽  
pp. 107-122 ◽  
Author(s):  
Lisa Marrack ◽  
Sallie Beavers ◽  
Patrick O’Grady
2017 ◽  
Vol 68 ◽  
pp. 246-253 ◽  
Author(s):  
Min Zhou ◽  
Shukui Tan ◽  
Yinghui Tao ◽  
Yongzhong Lu ◽  
Zuo Zhang ◽  
...  

2019 ◽  
Vol 127 ◽  
pp. 66-74 ◽  
Author(s):  
Antoine Tardif ◽  
Michaël Rodrigue-Morin ◽  
Vanessa Gagnon ◽  
Bill Shipley ◽  
Sébastien Roy ◽  
...  

2020 ◽  
Vol 57 (8) ◽  
pp. 1494-1503
Author(s):  
Pengyao Li ◽  
David Kleijn ◽  
Isabelle Badenhausser ◽  
Carlos Zaragoza‐Trello ◽  
Nicolas Gross ◽  
...  

2015 ◽  
Vol 30 (10) ◽  
pp. 1931-1942 ◽  
Author(s):  
Thomas Ranius ◽  
Victor Johansson ◽  
Martin Schroeder ◽  
Alexandro Caruso

2021 ◽  
Author(s):  
Vishesh L. Diengdoh ◽  
Barry W. Brook ◽  
Mark Hunt ◽  
Stefania Ondei

AbstractContextLand-use change threatens pollinators globally. However, pollinator-landscape studies tend to focus on certain focal taxa and landscapes with intensive human activities. This limits the implementation of targeted management policies for landscapes with different modifications and pollinator groups.ObjectivesThis study aims to determine which habitat characteristics can predict abundance and richness of multiple pollinator groups.MethodsWe collected field data on the relative abundance and observed richness of nectivorous birds, bees, beetles, butterflies across a mixed-use landscape in the Tasman Peninsula, Tasmania, Australia; and determined if they could be predicted using land use, land cover at different radii (100 m to 5000 m), plant genera and floral morphologies.ResultsUsing feature selection, we found land use was an overall poor predictor, with land cover, plant genera and floral morphologies being superior. Random forest was used for predictive modelling and goodness of fit R2 calculated was highest and lowest for butterfly abundance (0.65) and butterfly richness (0.08) respectively. Variable importance was calculated, and forest cover achieved the highest importance value for nectivorous birds and butterflies, whereas open cover was most important for bees and the presence of the plant genus Leptospermum for beetles.ConclusionsOur results emphasise the importance of considering multiple habitat factors to manage and support a dynamic pollinator community. We demonstrate how predictive modelling can be used to make informed decisions on how to have a dynamic pollinator community in a way that can be applied to real-world scenarios to validate the models and further improve decision making.


Standards ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 79-89
Author(s):  
Lars Carlsen

Rating the potential land use for crop production and/or ranching is typically a process where production gains counterbalance environmental losses. Whereas the production gains are often easy to verify, the environmental losses may render visibility through the changes in the ecosystem service, such as water and habitat quality, carbon storage, etc., thus, leaving the decision maker with a multi-criteria problem. The present study demonstrates how partial-order methodology constitutes an advantageous tool for rating/ranking land use that takes trade-offs into account. It is demonstrated that not only the optimal choice of area, on an average basis, e.g., for crop production, is disclosed, but also the relative importance of the included indicators (production gains, ecosystem losses). A short introduction is given, applying data from a recent Chinese study looking for the optimal monoculture as a function of ecosystem tradeoffs. A more elaborate system applying data from the esgame was used, disclosing the most beneficial area for crop production and for ranching, as well as the relative indicators’ importance. The study further demonstrates that a single composite indicator obtained by simple aggregation of indicator values as a ranking tool may lead to a result where gains are optimized; however, this comes at the expense of the environment.


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