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    <link>http://hdl.handle.net/10174/666</link>
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    <pubDate>Fri, 24 Apr 2026 11:21:02 GMT</pubDate>
    <dc:date>2026-04-24T11:21:02Z</dc:date>
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      <title>Using GEDI‑derived vegetation structural metrics to evaluate avian biodiversity patterns in Mediterranean habitats</title>
      <link>http://hdl.handle.net/10174/41878</link>
      <description>Title: Using GEDI‑derived vegetation structural metrics to evaluate avian biodiversity patterns in Mediterranean habitats
Authors: Valerio, Francesco; Pereira, Pedro F; Salgueiro, Pedro; Godinho, Carlos; Silva, João Paulo; Guise, Inês; Godinho, Sérgio
Abstract: Avian communities are highly sensitive to variations in vegetation structure, which in turn is strongly influenced by fine-scale habitat heterogeneity. Traditional categorical land-cover maps often fail to capture this heterogeneity, limiting our ability to monitor avian biodiversity across broad extents. To address this, we present a remote-sensing framework that integrates spaceborne light detection and ranging (LiDAR) metrics from the Global Ecosystem Dynamics Investigation (GEDI) with Sentinel‑1 radar and Sentinel‑2 multispectral data to generate vertical and horizontal vegetation structure encompassing biodiversity-rich environments. Our study covers three areas with contrasting Mediterranean habitats in southern Portugal—woodland, open woodland, and grasslands—where breeding birds were surveyed between 2020 and 2024. We used random forests models to evaluate the ability of GEDI‑derived standard metrics (RH75, RH95, PAI, FHD, AGBD) and structural heterogeneity metrics (Shannon entropy, Rao’s Q), to predict avian species richness and abundance along the woodland-grassland habitat gradient. We then developed a targeted model for an intermediate open woodland landscape (montado), using the tawny owl (Strix aluco) as a model species, to evaluate how those same predictors explain local abundance patterns. Finally, we included common aggregation methods (e.g., mean, maximum) for each metric in the analysis, as well as the effect of scale (75 and 225 m) at the plot level where bird surveys were conducted. This study demonstrated that GEDI-derived upper canopy heterogeneity (Rao’s Q of RH75 at 225 m), aboveground biomass, and canopy density together explained over 70% of the variation in avian species richness and total abundance. Grasslands, despite the lower overall densities, supported key specialists such as the little bustard (Tetrax tetrax), underscoring their essential role alongside structurally rich wood pastures. Although the random forests model for the tawny owl accounted for a smaller share of variance, it revealed a significant positive response to canopy height and a bimodal relationship with foliage height diversity (FHD). Together, these findings emphasize that Mediterranean bird communities depend upon a mosaic of habitat structures, such as layered woodlands with canopy gaps and understory clusters providing nesting, roosting, and foraging niches, while open terrains sustain species adapted to sparse cover. By integrating spaceborne LiDAR from GEDI with Sentinel‑1 radar and Sentinel‑2 optical data, our framework offers a scalable, fine‑grained approach for biodiversity monitoring across Mediterranean landscapes that are overlooked for such applications. We recommend that conservation strategies maintain both three-dimensional woodland complexity and retain extensive grassland habitats to support flagship species. Future work linking GEDI metrics with detailed ground-based microhabitat surveys and avifaunal monitoring will be crucial for pinpointing the structural drivers of species distributions and refining management practices to maximize both richness and abundance.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Pastoreio em Floresta - Oportunidade de produção diferenciada e ferramenta de gestão</title>
      <link>http://hdl.handle.net/10174/41323</link>
      <description>Title: Pastoreio em Floresta - Oportunidade de produção diferenciada e ferramenta de gestão
Authors: Castro, Marina; Ferraz-de-Oliveira, Maria Isabel; Carita, Teresa; Potes, José Mira; Sales-Baptista, Elvira
Editors: Tomé, M.; Lima, T.L.F.
Abstract: Pastoreio em Floresta - Oportunidade de produção diferenciada e ferramenta de gestão</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10174/41323</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Prunus spp. quality and postharvest: today’s challenges and futures perspectives</title>
      <link>http://hdl.handle.net/10174/40797</link>
      <description>Title: Prunus spp. quality and postharvest: today’s challenges and futures perspectives
Authors: Ricardo-Rodrigues, Sara; Laranjo, Marta; Elias, Miguel; Agulheiro-Santos, Ana Cristina
Editors: Kahramanoğlu, İbrahim
Abstract: Prunus is a genus of trees and shrubs that date to the Eocene. Some species are known for their health benefits and for their exceptional role in international trade. Several Prunus species are widely cultivated all over the world, such as sweet cherry (Prunus avium L.), sour cherry (Prunus cerasus L.), plums (Prunus salicina L.), prunes (Prunus domestica L.), peaches (Prunus persica L.) or almonds (Prunus amygdalus, syn. Prunus dulcis). In this work, we review the most important quality parameters and sensory attributes for the abovementioned main Prunus species. Moreover, we focus on the postharvest challenges that are posed today to producers and retailers, as well as on consumer preferences. Finally, we discuss some new commercialization perspectives considering that the final aim agronomic activity is to produce fruits of good nutritional and sensory quality, with the least environmental impact possible and in a sustainable manner, according to the Sustainable Development Goals (SDGs) of 2030 Agenda of the United Nations.</description>
      <pubDate>Tue, 26 Sep 2023 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10174/40797</guid>
      <dc:date>2023-09-26T23:00:00Z</dc:date>
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      <title>Sus scrofa javali</title>
      <link>http://hdl.handle.net/10174/40770</link>
      <description>Title: Sus scrofa javali
Authors: Fonseca, Carlos; Santos, Pedro; Torres, Rita Tinoco; Silva, Carmen; Monzón, Aurora
Abstract: Ficha resumo da ecologia e estado de conservação de Sus scrofa em Portugal Continental.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10174/40770</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
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