Integrating Sorghum sudanense into Silvopastoral Systems: A Climate-Resilient Forage for Mountain Landscapes

Silvopastoral systems in mountainous Mediterranean regions, such as Terra Fria Transmontana, are increasingly vulnerable to climate change due to their heavy dependence on native pastures.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-01
DOI
https://doi.org/10.5281/zenodo.18506527
Primary Topic
Agroforestry and silvopastoral systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating Sorghum sudanense into Silvopastoral Systems: A Climate-Resilient Forage for Mountain Landscapes

Eduardo Henrique Santana Sousa, João Paulo Castro, Marina Guimarães Brum de [UNESP] Castro, José Castro et al.
Zenodo (CERN European Organization for Nuclear Research)
Agroforestry and silvopastoral systems
article

Integrating Sorghum sudanense into Silvopastoral Systems: A Climate-Resilient Forage for Mountain Landscapes

Eduardo Henrique Santana Sousa, João Paulo Castro, Marina Guimarães Brum de [UNESP] Castro, José Castro, Ana Carolina Oliveira
article en

Abstract

Silvopastoral systems in mountainous Mediterranean regions, such as Terra Fria Transmontana, are increasingly vulnerable to climate change due to their heavy dependence on native pastures.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Politécnica de Bragança (PT)
Climate action
Openalex Percentile: Top 16%
Agroforestry and silvopastoral systems
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.