Detecting diversity: emerging methods to estimate species diversity

KJ Iknayan, MW Tingley, BJ Furnas… - Trends in ecology & …, 2014 - cell.com
Estimates of species richness and diversity are central to community and macroecology and
are frequently used in conservation planning. Commonly used diversity metrics account for …

Exposure to climate change drives stability or collapse of desert mammal and bird communities

EA Riddell, KJ Iknayan, L Hargrove, S Tremor… - Science, 2021 - science.org
High exposure to warming from climate change is expected to threaten biodiversity by
pushing many species toward extinction. Such exposure is often assessed for all taxa at a …

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

SA Naghibi, HR Pourghasemi, B Dixon - Environmental monitoring and …, 2016 - Springer
Groundwater is considered one of the most valuable fresh water resources. The main
objective of this study was to produce groundwater spring potential maps in the Koohrang …

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran

O Rahmati, HR Pourghasemi, AM Melesse - Catena, 2016 - Elsevier
Groundwater is considered as the most important natural resources in arid and semi-arid
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …

Imperfect detection impacts the performance of species distribution models

JJ Lahoz‐Monfort, G Guillera‐Arroita… - Global ecology and …, 2014 - Wiley Online Library
Aim Species often remain undetected at sites where they are present. However, the impact
of imperfect detection on species distribution models (SDM s) is not fully appreciated. In this …

Climatic factors influence the spread of COVID-19 in Russia

M Pramanik, P Udmale, P Bisht… - International journal …, 2022 - Taylor & Francis
The study is the first attempt to assess the role of climatic predictors in the rise of COVID-19
intensity in the Russian climatic region. The study used the Random Forest algorithm to …

Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data

MW Tobler, A Zúñiga Hartley… - Journal of Applied …, 2015 - Wiley Online Library
Over the last two decades, a large number of camera trap surveys have been carried out
around the world and camera traps have been proposed as an ideal tool for inventorying …

Model selection and assessment for multi‐species occupancy models

KM Broms, MB Hooten, RM Fitzpatrick - Ecology, 2016 - Wiley Online Library
While multi‐species occupancy models (MSOMs) are emerging as a popular method for
analyzing biodiversity data, formal checking and validation approaches for this class of …

Evidence of region‐wide bat population decline from long‐term monitoring and Bayesian occupancy models with empirically informed priors

TJ Rodhouse, RM Rodriguez, KM Banner… - Ecology and …, 2019 - Wiley Online Library
Strategic conservation efforts for cryptic species, especially bats, are hindered by limited
understanding of distribution and population trends. Integrating long‐term encounter …

[HTML][HTML] Effects of climate change on habitat and connectivity for populations of a vulnerable, endemic salamander in Iran

MR Ashrafzadeh, AA Naghipour, M Haidarian… - Global Ecology and …, 2019 - Elsevier
Habitat loss and fragmentation are among the biggest threats to amphibian populations and
anthropogenic climate change may exacerbate these. The response of Iran's amphibians to …