Results 161 to 170 of about 20,000 (276)

Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
The current study used machine learning and geospatial analysis to predict how climate change will loosen and fragment suitable habitats for Ethiopian honeybees. Main factors like agro‐ecological zones and dry‐season precipitation were found to be critical for bee survival.
Diriba Tulu   +4 more
wiley   +1 more source

Ensemble Modeling of Shifts in the Suitable Distribution and Ecological Niche of the Alpine Tibetan Medicinal Herb Corydalis hendersonii Hemsl. Under Climate Change and Human Activity

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
Corydalis hendersonii, a rare alpine Tibetan medicinal herb, faces increasing threats from climate warming and intensified human activity. Using a biomod2 ensemble species distribution model that integrates climate variables and the Human Footprint Index, we predict that suitable habitats will remain stable or slightly expand under SSP126 but contract ...
Dehua Wu   +8 more
wiley   +1 more source

Over three‐quarters of earthworm species lack protection in China, a crisis exacerbated by climate change

open access: yesEcography, Volume 2026, Issue 6, June 2026.
Earthworms, as ‘ecosystem engineers', play a crucial role in regulating ecosystem functions and shaping community structures. Due to climate change, earthworms face severe survival pressures and extinction risks. However, whether conservation efforts targeting aboveground biodiversity can cover the long‐neglected earthworm diversity remains unknown. To
Yajie Zhou   +6 more
wiley   +1 more source

The relative roles of in situ diversification and lineage dispersal underlying diversity patterns at the assemblage level

open access: yesOikos, Volume 2026, Issue 6, June 2026.
Speciation, extinction, and dispersal are the historical processes influencing the spatial distribution of lineages and strongly influence diversity patterns. Here, we apply a recently developed methodological approach to quantify the relative legacies in situ diversification history (i.e.
Arthur Vinicius Rodrigues   +2 more
wiley   +1 more source

The relationship between Indigenous Peoples' lands and conservation: A systematic literature review

open access: yesPeople and Nature, Volume 8, Issue 6, Page 1676-1691, June 2026.
Abstract A growing body of peer‐reviewed literature is focused on the relationship between Indigenous Peoples' lands (Indigenous lands) and conservation outcomes. We performed a systematic review of this English reported peer‐reviewed literature (n = 111) to examine: the key characteristics; the conservation outcomes documented; the methods used in ...
William Nikolakis   +4 more
wiley   +1 more source

Wilting wildflowers and bummed‐out bees: Climate change threatens US state symbols

open access: yesPeople and Nature, Volume 8, Issue 6, Page 1832-1851, June 2026.
Abstract Species designated as state symbols in the United States carry cultural importance, embody historical heritage and maintain long‐standing linkages to Indigenous traditions. However, they are threatened by climate change and even face the risk of local or global extinction.
Xuezhen Ge   +3 more
wiley   +1 more source

Functional reassessment of extended splice region variants in MYO7A with hearing loss and Usher syndrome

open access: yesThe Journal of Pathology, Volume 269, Issue 2, Page 222-231, June 2026.
Abstract MYO7A is a causal gene, underlying Usher syndrome type 1B (USH1B) and both autosomal recessive (DFNB2) and dominant (DFNA11) non‐syndromic hearing loss. Despite the large number of reported MYO7A variants (over 2,200), variants located in an extended splice region remain difficult to interpret and are often classified as variants of uncertain ...
Tao Shi   +5 more
wiley   +1 more source

A statistical explanation of MaxEnt for ecologists

open access: yes, 2013
This presentation is loosely based on Elith et al.'s (2010) paper by the same name. It explains the rationale behind the MaxEnt approach to species distribution modeling with presence-only data in an intuitive way with some simple examples. It's worth noting that I initially wrote this presentation before the connections between MaxEnt and Poisson ...
openaire   +1 more source

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