Results 101 to 110 of about 27,816 (256)
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
Reviewing and benchmarking ecological modelling practices in the context of land use
Despite habitat loss and degradation are the primary drivers of biodiversity loss, different conclusions have been drawn about the importance of land‐use or land‐cover (LULC) change for biodiversity. Differences may be due to the difficulty of framing a coherent model design to assess LULC effects.
Elie Gaget +6 more
wiley +1 more source
Conservation has shifted towards a climate change adaptation approach in which expected species range shifts are increasingly considered to mitigate effects of climate change and habitat fragmentation on biodiversity. As part of this, ecological connectivity needs to be ensured to support gene flow and viable populations in the face of changing ...
Aino‐Maija Määttänen +2 more
wiley +1 more source
ABSTRACT The growing complexity and severity of cross‐border climate risks characterised by non‐linear impact chains and deep uncertainty questions the capacity of environmental governance to tackle these problems effectively and in a just manner. To increase the efficiency of climate action, the private sector has been called upon to leverage market ...
Päivi Tikkakoski, Sirkku Juhola
wiley +1 more source
Abstract Objective Dravet syndrome (DS) is the prototypic developmental and epileptic encephalopathy, characterized by drug‐resistant seizures, developmental slowing, and many other morbidities. Detailed characterization of behavioral phenotypes and social–emotional skill development are limited.
Ingrid E. Scheffer +26 more
wiley +1 more source
This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham +4 more
wiley +1 more source
Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
wiley +1 more source
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan +4 more
wiley +1 more source

