Results 111 to 120 of about 4,776,147 (349)
Deforestation and wildlife management: are elephants attracted by recently deforested areas? [PDF]
, 2019 Deforestation is a major cause or wildlife decline in tropical ecosystems. The conversion of mature forest to fields by shifting cultivation leaves behind follow lands with secondary vegetation.
Amaya-Corredor, Paola-Catalina +8 more
core
Simulating anthropogenic impacts to bird communities in tropical rain forests [PDF]
, 2002 We used an aggregated modelling approach to simulate the impacts ofanthropogenic disturbances on the long-term dynamics of faunal diversityin tropical rain forests. We restricted our study to bird communities eventhough the approach is more general.
Huth, A., Köhler, Peter, Reinhard, K.
core +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Growth and population dynamics of crayfish Paranephrops planifrons in streams within native forest and pastoral land uses [PDF]
, 2002 Population dynamics of crayfish (Paranephrops planifrons White) in streams draining native forest and pastoral catchments, Waikato, New Zealand, were investigated from September 1996 to July 1998.
Collier, Kevin J. +2 more
core +1 more source
Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes? [PDF]
, 2014 Question: Recent research in boreal forest suggests that an ‘open matrix’ model may be more appropriate than the traditional model of spatially discrete gap dynamics for describing forest disturbance and regeneration, but what is the evidence from ...
Abd Latif, Zulkiflee +2 more
core +1 more source
Cultural values and forest dynamics: The Italian forests in the last 150 years
Forest Ecology and Management, 2022 M. Agnoletti +3 more
semanticscholar +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
GUYAFOR: a network of research permanent plots of tropical forests in French Guiana [PDF]
, 2008 GUYAFOR, a network of forest research permanent plots, is dedicated to long term studies in forest dynamics and biodiversity. Forest plots have been established in French Guyana from the late 60's to recent years by Cirad, ONF and CNRS.
Baraloto, Christopher +4 more
core
, 2018 Random forest is widely exploited as an ensemble learning method. In many practical applications, however, there is still a significant challenge to learn from imbalanced data. To alleviate this limitation, we propose a deep dynamic boosted forest (DDBF), a novel ensemble algorithm that incorporates the notion of hard example mining into random forest.
Wang, Haixin +6 more
openaire +2 more sources
Role of forest regrowth in global carbon sink dynamics
Proceedings of the National Academy of Sciences of the United States of America, 2019 Significance Regrowth of forests following past disturbances is expected to be an important driver behind the large uptake of anthropogenic CO2 emissions by the terrestrial biosphere. Yet estimates of the size of this uptake vary widely.
T. Pugh +6 more
semanticscholar +1 more source