Ecological factors influencing habitat use by chimpanzees at Ngogo, Kibale National Park, Uganda

2015 ◽  
Vol 78 (4) ◽  
pp. 432-440 ◽  
Author(s):  
Kevin B. Potts ◽  
Erica Baken ◽  
Ashley Levang ◽  
David P. Watts
Acta Tropica ◽  
2015 ◽  
Vol 149 ◽  
pp. 212-219 ◽  
Author(s):  
Wichai Srisuka ◽  
Hiroyuki Takaoka ◽  
Yasushi Otsuka ◽  
Masako Fukuda ◽  
Sorawat Thongsahuan ◽  
...  

Author(s):  
Gay Edwards Reinartz ◽  
Patrick Guislain ◽  
T. D. Mboyo Bolinga ◽  
Edmond Isomana ◽  
Bila-Isia Inogwabini ◽  
...  

Author(s):  
Rodica Plăiaşu ◽  
Raluca Băncilă ◽  
Ciprian Samoilă ◽  
Dan Cogălniceanu

Factors influencing the breeding habitat use by amphibians in the alpine area of the Retezat National Park (Romania) We analyzed the distribution of amphibians according to the characteristics of breeding ponds in the alpine areas of the Retezat National Park. We inventoried 50 aquatic habitats between 1920 and 2260 m a.s.l. Three amphibian species are present at high altitudes: Rana temporaria, Bufo bufo and Mesotriton alpestris. They were found in 70% of the aquatic habitats, but only 48% were used as spawning sites. Human impacts and predators were the most influential variables explaining the occurrence of R. temporaria, whereas location and pond adjacent terrain were important for M. alpestris. Moderate grazing had a positive effect by maintaining low vegetation or providing nutrients input in the oligotrophic aquatic habitats.


2021 ◽  
Vol 14 ◽  
pp. 194008292110147
Author(s):  
Dipto Sarkar ◽  
Colin A. Chapman

The term ‘smart forest’ is not yet common, but the proliferation of sensors, algorithms, and technocentric thinking in conservation, as in most other aspects of our lives, suggests we are at the brink of this evolution. While there has been some critical discussion about the value of using smart technology in conservation, a holistic discussion about the broader technological, social, and economic interactions involved with using big data, sensors, artificial intelligence, and global corporations is largely missing. Here, we explore the pitfalls that are useful to consider as forests are gradually converted to technological sites of data production for optimized biodiversity conservation and are consequently incorporated in the digital economy. We consider who are the enablers of the technologically enhanced forests and how the gradual operationalization of smart forests will impact the traditional stakeholders of conservation. We also look at the implications of carpeting forests with sensors and the type of questions that will be encouraged. To contextualize our arguments, we provide examples from our work in Kibale National Park, Uganda which hosts the one of the longest continuously running research field station in Africa.


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