Results 31 to 40 of about 153,314 (168)

Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model Deforestation: An Exemplification from the Amazon Rainforest [PDF]

open access: yesarXiv, 2023
Intelligent automation supports us against cyclones, droughts, and seismic events with recent technology advancements. Algorithmic learning has advanced fields like neuroscience, genetics, and human-computer interaction. Time-series data boosts progress. Challenges persist in adopting these approaches in traditional fields.
arxiv  

Distribution, habitat preferences and population sizes of two threatened tree ferns, Cyathea cunninghamii and Cyathea x marcescens, in south-eastern Australia [PDF]

open access: yes, 2013
The distribution, population sizes and habitat preferences of the rare tree ferns Cyathea cunninghamii Hook.f. (Slender Tree Fern) and F1 hybrid Cyathea x marcescens N.A.Wakef.
Brownsey, Patrick   +3 more
core   +1 more source

Spatial correlation increase in single-sensor satellite data reveals loss of Amazon rainforest resilience [PDF]

open access: yesarXiv, 2023
The Amazon rainforest (ARF) is threatened by deforestation and climate change, which could trigger a regime shift to a savanna-like state. Previous work suggesting declining resilience in recent decades was based only on local resilience indicators. Moreover, previous results are potentially biased by the employed multi-sensor and optical satellite ...
arxiv  

Rediscovery of Ooline, Cadellia pentastylis, near Gunnedah : notes on the habitat and ecology of this dry rainforest tree [PDF]

open access: yes, 2013
Cadellia pentastylis F.Muell., (family Surianaceae), a dry rainforest tree with a conservation listing of Vulnerable at state and national levels, was first collected from the Gunnedah area by the botanical collector J.L. Boorman in 1907.
Curran, Sandra R., Curran, Timothy J.
core  

Scaling climate smart coffee and cocoa [PDF]

open access: yes, 2019
Key lessons from using Certification as scaling mechanism for CSA under the CCAFS funded Climate Smart Coffee and Cocoa Value Chain Project (CSVC) Outcome 1: Influence on new Rainforest Alliance (RA) standard development Outcome 2: UTZ/RA SP ...
Rainforest Alliance
core  

Learning from participants' responses in educational drama in the teaching of education for sustainable development [PDF]

open access: yes, 2006
The context for this paper is an on-going research project that sets out to examine the use of educational drama in the teaching of Education for Sustainable Development (ESD) in the upper stages of primary school. The drama lessons link with some of the
McNaughton, Marie Jeanne
core   +1 more source

"Modelling Sustainable International Tourism Demand to the Brazilian Amazon" [PDF]

open access: yes
The Amazon rainforest is one of the world's greatest natural wonders and holds great importance and significance for the world's environmental balance. Around 60% of the Amazon rainforest is located in the Brazilian territory.
Jose Angelo Divino, Michael McAleer
core   +3 more sources

Results of a botanical expedition to mount Roraima, Guyana. I. Bryophytes [PDF]

open access: yes, 2013
A bryological inventory of the Upper Mazaruni District, Guyana (former British Guiana) yielded almost three hundred species, including 2 genera and 11 species new to science and 130 species new to the Guianas.
Florschütz-de Waard, J.   +1 more
core  

How motifs condition critical thresholds for tipping cascades in complex networks: Linking Micro- to Macro-scales

open access: yes, 2020
In this study, we investigate how specific micro interaction structures (motifs) affect the occurrence of tipping cascades on networks of stylized tipping elements.
Donges, Jonathan F.   +6 more
core   +1 more source

AI for Earth: Rainforest Conservation by Acoustic Surveillance [PDF]

open access: yesarXiv, 2019
Saving rainforests is a key to halting adverse climate changes. In this paper, we introduce an innovative solution built on acoustic surveillance and machine learning technologies to help rainforest conservation. In particular, We propose new convolutional neural network (CNN) models for environmental sound classification and achieved promising ...
arxiv  

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