Results 171 to 180 of about 135,057 (355)

Design for Participation: Elephant Ears, Crocodile Teeth and Variable Crest Weirs in Northeast Thailand [PDF]

, 1990
Bryan Bruns, Bruns, Bryan
openalex   +1 more source

Integrating indigenous crops in agroforestry systems: Lesser yam and teak mixed systems are more profitable than monocultures in Indonesia

PLANTS, PEOPLE, PLANET, EarlyView.
Major staple crops are often introduced and cultivated in monocultures. Yams are staple crops native to the majority of low‐ and middle‐income countries and can provide an alternative to introduced staple crops. We showed that lesser yams cultivated together with teak trees (planted at the border of the farm) are more profitable than lesser yam ...
Budiadi, Sawitri, Enggal Primananda, Aqmal Nur Jihad, Marco Campera, Rika Bela Rahmawati   +5 more
wiley   +1 more source

Simulated elephant foraging alters tree root exudation rates: Species‐specific responses and implications for belowground carbon dynamics in tropical forests

PLANTS, PEOPLE, PLANET, EarlyView.
Asian elephants play crucial roles in ecosystem functioning, and their interactions with plants influence above‐ and belowground carbon cycling. We tested whether their mechanically destructive foraging triggers short‐term, stress‐induced shifts in tree root exudation, an underappreciated pathway linking herbivory to belowground carbon processes.
Pratibha Khatri, Bimal Sharma, Lisa Ong, Ahimsa Campos‐Arceiz   +3 more
wiley   +1 more source

The potential effect of megafaunal extinctions on modern conservation of horse chestnut Aesculus hippocastanum

PLANTS, PEOPLE, PLANET, EarlyView.
Many plant species worldwide are struggling to regenerate due to the ongoing effects of climate change. These effects appear to be further exacerbated by the loss of keystone megafauna, which were important seed dispersers. By identifying the traits commonly seen in seeds spread by modern elephants, it is possible to predict which species likely ...
Andrew J. Tighe
wiley   +1 more source

The Spatial Econometrics of Elephant Population Change: A Note [PDF]

While previous research found no other variable than corruption to have a negative impact on (the growth rate of) the African countries' elephant populations, we show that one further significant impact is exerted by what one might call neighbourhood ...
Björn Frank, Per Botolf Maurseth
core  

Survival of a potential bacterial biocontrol agent in the soil and its impact on microbial communities

Pest Management Science, EarlyView.
In soil microcosms, the candidate Bacillus persisted ≥6 months and caused modest community shifts whose transience and magnitude were soil dependent. Abstract BACKGROUND Sclerotinia sclerotiorum is a major crop pathogen commonly managed using fungicides.
Amélie Polrot, Jérémie Béguet, Marie‐Christine Breuil, Marion Devers‐Lamrani, Fabrice Martin‐Laurent, Nadine Rouard, Aymé Spor   +6 more
wiley   +1 more source

The elephant man syndrome [PDF]

, 2014
Richard Pullicino, Reuben Grech
openalex   +1 more source

Resilient Flow Regimes in the Rio Grande—Río Bravo Basin

River Research and Applications, EarlyView.
ABSTRACT Water is essential for human development and is an indispensable resource for economic activity and a country's growth. However, current water practices, along with increasing land‐use change, climate change, and agricultural practices, have significantly altered the hydrological cycle and water availability.
Ramon Saiz‐Rodriguez, Samuel Sandoval‐Solis, Laura Garza‐Diaz, Brian D. Richter, Enrique Prunes   +4 more
wiley   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

Remote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan, Omiros Pantazis, Holly A.I. Pringle, Guilherme Braga Ferreira, Daniel J. Ingram, Emily K. Madsen, Liam Thomas, Dol Raj Thanet, Thakur Silwal, Santosh Rayamajhi, Gabriel J. Brostow, Oisin Mac Aodha, Kate E. Jones   +12 more
wiley   +1 more source