Results 171 to 180 of about 205,855 (295)

Harnessing the nutritional potential of Cape wild edible plants: Insights, gaps and priorities

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Wild edible plants hold significant potential to strengthen food systems by enhancing nutrition, dietary diversity, climate resilience, sustainability and deeper connection of people to their food. In this study, we conducted a systematic literature review to identify knowledge gaps and assess the nutritional contributions of selected wild edible ...
Nicola Kühn   +5 more
wiley   +1 more source

From traditional practice to unsustainable exploitation: Fruit overharvesting on the endangered relict palm Jubaea chilensis

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Overharvesting of wild edible plants poses a growing threat to plant populations worldwide, particularly for slow‐growing species with limited regeneration. We quantified fruit extraction from the third‐largest known population of Jubaea chilensis—an endangered palm endemic to Chile—modeled the critical harvest threshold, and assessed consumer ...
Sebastián Cordero   +7 more
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law   +10 more
wiley   +1 more source

Retrospective image analysis for long‐term demography using Google Earth imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa   +2 more
wiley   +1 more source

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