Results 111 to 120 of about 20,000 (276)

Effect of Maxent sample size on predictions.

, 2015
Scatterplot of mean habitat suitability index for 10–100% of remote Pacific locations used in training, plotted for 2030, 2050, 2070, and 2090. Error bars show 2x standard deviation of dataset using 100% of the potential locations for Maxent training ...
Lauren A. Freeman (493875)
core   +1 more source

Geographical distribution of the Pinnated Bittern (Botaurus pinnatus): Update and seasonal movement pattern

Ibis, EarlyView.
The Pinnated Bittern Botaurus pinnatus (Ardeidae) is a widely distributed Neotropical wading bird whose distribution and seasonal status remain poorly resolved. Discrepancies among published literature, citizen science records and the range currently assumed by BirdLife International indicate that both its geographical distribution and migratory ...
Helon Simões Oliveira, Tuany Siqueira‐Silva, Sérgio Roberto Posso, Sidney Feitosa Gouveia   +3 more
wiley   +1 more source

Files used for MAXENT analysis

, 2015
ENM_data includes distribution records of Mongolian oak and climate data used for MAXENT ...
Zhang, Da-Yong, Wen-Ting Wang (318257), Wan-Jin Liao (236307), Wang, Hong-Fang, Liao, Wan-Jin, Yan-Fei Zeng (236300), Da-Yong Zhang (16644), Hong-Fang Wang (3244494), Zeng, Yan-Fei, Wang, Wen-Ting   +9 more
core   +1 more source

Distribution models of polysphinctine parasitoid wasps (Hymenoptera: Ichneumonidae) reveal sampling bias and flag potentially overlooked host interactions

Insect Conservation and Diversity, EarlyView.
We quantified the geographical overlap between parasitoid wasps and their known host spiders. We could assess which parasitoid species have more limited information about their interactions and are subject to geographical survey bias. We generated sampling bias maps to assist other researchers in identifying where the main sampling gaps are.
Gabriel M. Xavier, Angélica M. Penteado‐Dias, Rafael R. Moura, Marcelo O. Gonzaga   +3 more
wiley   +1 more source

Revisiting Loxanthocereus riomajensis, lectotypification, biogeography and conservation status of an endemic species from Arequipa, Peru

Revista Peruana de Biología
This study aims to clarify the taxonomy of Loxanthocereus riomajensis, as well as to understand its actual and potential geographic distribution, and to present its conservation status. Specialized literature was reviewed, and field visits were conducted.
G. Anthony Pauca Tanco, Paul Hoxey
doaj   +1 more source

Predicting habitat suitability of selected Meloidae species and future potential refugia: A case study from inner Western Anatolia

Insect Conservation and Diversity, EarlyView.
Consensus habitat‐suitability maps identify current hotspots of species richness across the Inner Western Anatolian mountain systems. Late‐century projections (2081–2100) under SSP2‐4.5 and SSP5‐8.5 show range shifts and changing richness patterns, intensifying at higher elevations.
Muhammed Arif Demir, Mahmut Kabalak
wiley   +1 more source

Reduction in the potential distribution of bee species in low latitudes under different climate change scenarios: conservation implications

Frontiers in Ecology and Evolution
To quantify the climate-change impact on bees and guide conservation planning, we employed ecological niche modeling (ENM) driven by three representative concentration pathways (RCP 4.5, 6.0 and 8.5) and three general circulation models (CCSM4, HadGEM2 ...
Xinggang Tang, Xinggang Tang, Zheng He, Zheng He, Yue Deng, Yue Deng, Yingdan Yuan, Kaiming Zeng, Kaiming Zeng   +8 more
doaj   +1 more source

Projected Climate‐Suitable Area for Apis mellifera (Apidae) and Its Spatial Overlap With a Mining Tailings Footprint in South‐East Brazil

Journal of Applied Entomology, EarlyView.
ABSTRACT Climate change and environmental disasters can jointly impact species distributions and ecosystem stability, including pollinators and the resources they rely on. We used occurrence and climate data to predict the distribution of Apis mellifera in the Doce River Basin, south‐east Brazil, under baseline and future scenarios (2050).
Flávio Mariano Machado Mota, Débora Lima‐Santos, Walisson Kenedy‐Siqueira, Kamilla Ingred Castelan Vieira, Geraldo Wilson Fernandes   +4 more
wiley   +1 more source

Diagnostic Methods for Maxent Models in Ecology

, 2014
Understanding the geographic distributions of species is a fundamental problem in ecology. Many different statistical methods for modelling species distributions exist, but the most popular method is currently the machine learning algorithm Maxent ...
Daniel, Jeffrey
core  

Top Model Maxent Output

, 2019
Maxent output from top model of giant kangaroo rat historical range (
Bean, William T., William T. Bean (631855), Ivy V. Widick (7060415), Abigail L. Rutrough (7060403), Rutrough, Abigail L., Widick, Ivy V.   +5 more
core   +1 more source