Results 151 to 160 of about 4,747 (261)

Climate Warming Will Reduce Boreal Forest Litterfall, but the Response Differs Among Plant Functional Types

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
We synthesized boreal litterfall data from published studies and applied generalized additive models to examine how stand age‐ and temperature‐related litterfall dynamics varies across plant functional types, and to project future trends under climate change.
Wai Phyo Thu   +4 more
wiley   +1 more source

Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
We integrated ecological niche modeling (MaxEnt) with a remote sensing–driven machine‐learning productivity model (BRT), using 3139 Chinese fir occurrences, MODIS‐derived NPP, and 37 climate–soil predictors to project future suitability and productivity under a 13‐GCM CMIP6 ensemble (SSP245/SSP585).
Jiejie Sun   +12 more
wiley   +1 more source

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

The safety margin of small-scale tree cover loss in global fragmented forests. [PDF]

open access: yesNat Commun
Wang J   +23 more
europepmc   +1 more source

A Multi‐Method Geospatial Framework for Drought Risk Assessment in the GAP Region (Türkiye): Trend Analysis, Dry‐Spell Persistence and Random Forest Forecasting

open access: yesEcohydrology, Volume 19, Issue 4, June 2026.
ABSTRACT This study presents a multi‐method analysis framework that combines trend analysis, dry period persistence and machine learning‐based projections to comprehensively assess drought risk in the Southeastern Anatolia Project (GAP) Region. The study first identified trends for the 2000–2024 period using the Palmer Drought Severity Index (PDSI ...
Mehmet Ali Çelik
wiley   +1 more source

Vegetation and Topographic Controls on Post‐Fire Snowpack: Evidence From the 2021 Caldor Fire

open access: yesEcohydrology, Volume 19, Issue 4, June 2026.
ABSTRACT The increase in wildland fires in recent decades due to long‐term fire suppression policies and increasingly favourable climate factors has also increased the elevation range of wildland fires. In the mountainous western United States, this has led to an increasing influence of fire on landscape‐level vegetation patterns in snow‐dominated ...
Marianne Cowherd   +7 more
wiley   +1 more source

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