Implications of landscape changes for ecosystem services and biodiversity: A national assessment in Ecuador

Koo, Hongmi; Kleemann, Janina; Cuenca, Pablo; Noh, Jin Kyoung; Fürst, Christine

doi:10.1016/j.ecoser.2024.101652

Ecosystem Services

2024

DOI: 10.1016/j.ecoser.2024.101652

|View full text |Cite

Implications of landscape changes for ecosystem services and biodiversity: A national assessment in Ecuador

Hongmi Koo,

Janina Kleemann,

Pablo Cuenca

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Adaptive management of mountain ecosystems based on carbon sequestration: Based on the “state-flow-utility” framework

Wang,

Li,

et al. 2024

Ecological Indicators

View full text Add to dashboard Cite

Adaptive management of mountain ecosystems based on carbon sequestration: Based on the “state-flow-utility” framework

Wang,

Li,

et al. 2024

Ecological Indicators

View full text Add to dashboard Cite

Deep Learning Application for Biodiversity Conservation and Educational Tourism in Natural Reserves

Flórez,

Becerra,

Carrillo

et al. 2024

IJGI

View full text Add to dashboard Cite

Natural reserves, such as the Santurbán Moor in Colombia, are ecologically important but face significant threats from activities like mining and agriculture. Preserving biodiversity in these ecosystems is essential for maintaining ecological balance and promoting sustainable tourism practices. Identifying plant species in these reserves accurately is challenging due to environmental variability and species similarities, complicating conservation efforts and educational tourism promotion. This study aims to create and assess a mobile application based on deep learning, called FloraBan, to autonomously identify plant species in natural reserves, enhancing biodiversity conservation and encouraging sustainable and educational tourism practices. The application employs the EfficientNet Lite4 model, trained on a comprehensive dataset of plant images taken in various field conditions. Designed to work offline, the application is particularly useful in remote areas. The model evaluation revealed an accuracy exceeding 90% in classifying plant images. FloraBan was effective under various lighting conditions and complex backgrounds, offering detailed information about each species, including scientific name, family, and conservation status. The ability to function without internet connectivity is a significant benefit, especially in isolated regions like natural reserves. FloraBan represents a notable improvement in the field of automated plant identification, supporting botanical research and efforts to preserve biodiversity in the Santurbán Moor. Additionally, it encourages educational and responsible tourism practices, which align with sustainability goals, providing a useful tool for both tourists and conservationists.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Implications of landscape changes for ecosystem services and biodiversity: A national assessment in Ecuador

Cited by 2 publications

References 95 publications

Adaptive management of mountain ecosystems based on carbon sequestration: Based on the “state-flow-utility” framework

Adaptive management of mountain ecosystems based on carbon sequestration: Based on the “state-flow-utility” framework

Deep Learning Application for Biodiversity Conservation and Educational Tourism in Natural Reserves

Contact Info

Product

Resources

About