scholarly journals Remotely sensed vegetation greening along a restoration gradient of a tropical forest, Kibale National Park, Uganda

Author(s):  
Anu Valtonen ◽  
Eveliina Korkiatupa ◽  
Sille Holm ◽  
Geoffrey M. Malinga ◽  
Ryosuke Nakadai

Author(s):  
Anu Valtonen ◽  
Eveliina Korkiatupa ◽  
Sille Holm ◽  
Geoffrey Malinga ◽  
Ryosuke Nakadai

Restoration has now emerged as a global priority, with international initiatives such as the “UN Decade on Ecosystem Restoration (2021-2030)”. To fulfil the large-scale global restoration ambitions, an essential step is the monitoring of vegetation recovery after restoration interventions. The aim of this study was to evaluate the utility of remotely-sensed vegetation indices, Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), to monitor the rate of forest regeneration across a tropical forest restoration project area in Kibale National Park, Uganda. As a result, we observed non-linear patterns in NDVI and EVI across the first 25 years of recovery. Both NDVI and EVI increase for the first 10 years of forest regeneration. This “greening” phase could be used as the indicator of successful onset of forest recovery. In particular, the decline of elephant grass, which suppresses the natural regeneration of trees in our area, can be detected as an increase in NDVI. Primary forests differed from the 25-year-old regenerating forests based on the unique combination of low mean and low seasonal variation in EVI. Our results, therefore, suggest that the long-term success of forest restoration could be monitored by evaluating how closely the combination of mean, and degree of seasonal variation in EVI, resembles that observed in the primary forest.



2011 ◽  
Vol 261 (3) ◽  
pp. 703-709 ◽  
Author(s):  
Patrick A. Omeja ◽  
Colin A. Chapman ◽  
Joseph Obua ◽  
Jeremiah S. Lwanga ◽  
Aerin L. Jacob ◽  
...  


ZooKeys ◽  
2019 ◽  
Vol 878 ◽  
pp. 33-71 ◽  
Author(s):  
Tapani Hopkins ◽  
Heikki Roininen ◽  
Simon van Noort ◽  
Gavin R. Broad ◽  
Kari Kaunisto ◽  
...  

Tropical forest invertebrates, such as the parasitoid wasp family Ichneumonidae, are poorly known. This work reports some of the first results of an extensive survey implemented in Kibale National Park, Uganda. A total of 456 individuals was caught of the subfamily Rhyssinae Morley, 1913, which in the Afrotropical region was previously known from only 30 specimens. Here, the six species found at the site are described and the Afrotropical Rhyssinae are reviewed. Two new species, Epirhyssa johanna Hopkins, sp. nov. and E. quaggasp. nov., are described and a key, diagnostic characters, and descriptions for all 13 known Afrotropical species are provided, including the first description of the male of Epirhyssa overlaeti Seyrig, 1937. Epirhyssa gavinbroadi Rousse & van Noort, 2014, syn. nov. is proposed to be a synonym of E. uelensis Benoit, 1951. Extensive sampling with Malaise traps gave an unprecedented sample size, and the method is recommended for other poorly known tropical areas.



Biotropica ◽  
2020 ◽  
Vol 52 (3) ◽  
pp. 521-532 ◽  
Author(s):  
Kevin B. Potts ◽  
David P. Watts ◽  
Kevin E. Langergraber ◽  
John C. Mitani


2013 ◽  
Vol 61 (3) ◽  
pp. 239-246 ◽  
Author(s):  
Małgorzata E. Arlet ◽  
Freerk Molleman ◽  
Lynne A. Isbell ◽  
Rebecca L. Chancellor ◽  
James R. Carey ◽  
...  


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.



2007 ◽  
Vol 28 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Hogan M. Sherrow ◽  
Sylvia J. Amsler


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