<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://hdl.handle.net/10174/42" />
  <subtitle />
  <id>http://hdl.handle.net/10174/42</id>
  <updated>2026-04-06T05:17:02Z</updated>
  <dc:date>2026-04-06T05:17:02Z</dc:date>
  <entry>
    <title>Walnut Shells to Enhance Substrate Sustainability: Effects on Lettuce Yield, Nitrate Accumulation, and Phytochemical Content.</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/41736" />
    <author>
      <name>Machado, Rui</name>
    </author>
    <author>
      <name>Alves-Pereira, Isabel</name>
    </author>
    <author>
      <name>Grilo, Ana</name>
    </author>
    <author>
      <name>Esteves, Pedro</name>
    </author>
    <author>
      <name>Rui, Ferreira</name>
    </author>
    <id>http://hdl.handle.net/10174/41736</id>
    <updated>2026-03-23T16:41:25Z</updated>
    <published>2026-01-07T00:00:00Z</published>
    <summary type="text">Title: Walnut Shells to Enhance Substrate Sustainability: Effects on Lettuce Yield, Nitrate Accumulation, and Phytochemical Content.
Authors: Machado, Rui; Alves-Pereira, Isabel; Grilo, Ana; Esteves, Pedro; Rui, Ferreira
Abstract: Coir is widely used as a soilless substrate yet partially replacing it with walnut shells in&#xD;
coir-based mixes may improve the sustainability of lettuce production and quality. This&#xD;
study evaluated the effect of incorporating walnut shells, with or without biochar, into&#xD;
coir-based substrates on lettuce yield and quality. Lettuce was grown in five substrates:&#xD;
coir (C), three coir–walnut mixes (1:1, 1:0.5, and 1:0.25 v/v), and one coir–walnut–biochar&#xD;
mix (C:W:B, 10:1.5:1 v/v). Increasing the walnut-shell proportion increased the cumulative&#xD;
leaching fraction, likely because of the coarse walnut particles, and reduced head fresh&#xD;
weight. However, shoot dry weight in the 1:0.5 and 1:0.25 mixes was similar to that in coir&#xD;
alone and reduced leaf nitrate content. In contrast, the C:W:B mix maintained head fresh&#xD;
weight (7.1 kg m→2) and shoot dry weight comparable to coir, while markedly lowering&#xD;
leaf nitrate concentration from 4130 to below 200 mg NO3→ kg→1 fresh weight. Leaf nitrate&#xD;
content increased linearly with shoot Zn uptake, suggesting a Zn-mediated control of&#xD;
nitrate accumulation. The coir–walnut–biochar mix emerges as a suitable alternative to&#xD;
pure coir, as it maintains lettuce productivity, reduces leaf nitrate accumulation, enhances&#xD;
anthocyanin content, and reflects more favorable physiological conditions by not requiring&#xD;
a strong activation of antioxidant defenses.</summary>
    <dc:date>2026-01-07T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The critical challenge of nonstationarity in ecological modelling</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/41698" />
    <author>
      <name>Wang, Hsiao-Hsuan</name>
    </author>
    <author>
      <name>Alagador, Diogo</name>
    </author>
    <id>http://hdl.handle.net/10174/41698</id>
    <updated>2026-03-17T12:20:27Z</updated>
    <published>2025-05-31T23:00:00Z</published>
    <summary type="text">Title: The critical challenge of nonstationarity in ecological modelling
Authors: Wang, Hsiao-Hsuan; Alagador, Diogo
Abstract: Ecological systems are dynamic and shaped by complex interactions&#xD;
that vary across space, time, and levels of biological organization&#xD;
(Fischer et al., 2025). Therefore, most ecological systems display confounding&#xD;
spatial and temporal trends, such as nonstationarity, at some&#xD;
scale. Nonstationarity (abrupt change in the mean or variance of a system&#xD;
property in space or time) can result from variation in environmental&#xD;
conditions (e.g., topography) or occurrence of a disturbance (e.&#xD;
g., a flood). Models of systems exhibiting nonstationarity that are based&#xD;
on non-spatial and equilibrium representations of system properties can&#xD;
produce misleading inferences and predictions. The potential consequences&#xD;
include misidentification of habitat priorities, underestimation&#xD;
of extinction risks, and the development of conservation strategies that&#xD;
ignore critical local contexts (Alagador and Cerdeira, 2020). Therefore,&#xD;
we must aim to incorproate nonstationarity in ecological models and&#xD;
address its impact on processes occurring on the multiple scales of time,&#xD;
space and organisation relevant to management (Wang et al., 2023).</summary>
    <dc:date>2025-05-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>IBISurvey: Introduced Bird Interaction Survey – Report 2021-2023</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/41696" />
    <author>
      <name>Pereira, Pedro</name>
    </author>
    <author>
      <name>Godinho, Carlos</name>
    </author>
    <author>
      <name>Roque, Inês</name>
    </author>
    <author>
      <name>Rabaça, João</name>
    </author>
    <author>
      <name>Lourenço, Rui</name>
    </author>
    <id>http://hdl.handle.net/10174/41696</id>
    <updated>2026-03-17T12:19:17Z</updated>
    <published>2024-03-31T23:00:00Z</published>
    <summary type="text">Title: IBISurvey: Introduced Bird Interaction Survey – Report 2021-2023
Authors: Pereira, Pedro; Godinho, Carlos; Roque, Inês; Rabaça, João; Lourenço, Rui
Abstract: This report summarizes the outcomes of the IBISurvey citizen science project, focusing on reported interactions involving exotic bird species introduced in Europe during the period 2021–2023.</summary>
    <dc:date>2024-03-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Diagnosing Early Establishment of Hybrid Sorghum in Response to Seeding Rates Using UAV-Based Remote Sensing and Soil ECa Analysis</title>
    <link rel="alternate" href="http://hdl.handle.net/10174/41677" />
    <author>
      <name>Póvoa, G.</name>
    </author>
    <author>
      <name>Silva, L.</name>
    </author>
    <author>
      <name>Dias, S.</name>
    </author>
    <author>
      <name>D'Antonio, P.</name>
    </author>
    <author>
      <name>Lidon, F.</name>
    </author>
    <author>
      <name>Serrano, J.</name>
    </author>
    <author>
      <name>Conceição, L.A.</name>
    </author>
    <id>http://hdl.handle.net/10174/41677</id>
    <updated>2026-03-13T17:27:20Z</updated>
    <published>2026-03-01T00:00:00Z</published>
    <summary type="text">Title: Diagnosing Early Establishment of Hybrid Sorghum in Response to Seeding Rates Using UAV-Based Remote Sensing and Soil ECa Analysis
Authors: Póvoa, G.; Silva, L.; Dias, S.; D'Antonio, P.; Lidon, F.; Serrano, J.; Conceição, L.A.
Editors: Escobar Gutiérrez, Abraham J.
Abstract: Sorghum is a resilient crop important for sustainable intensification in semi-arid regions, yet the impact of variable seeding rates on its early development remains under-researched. This research investigated the early establishment of hybrid sorghum under three seeding strategies, "Uniformise" (medium density across all zones), "Optimise" (increased density in low-soil apparent Electrical Conductivity (ECa)), and "Maximise" (increased density in high-soil ECa), at the Herdade da Comenda (Innovation Center - Elvas, Portugal). Crop performance was monitored over 33 days, the established window for safe direct grazing, using Unmanned Aerial Vehicle (UAV) multispectral imagery to derive the Normalised Difference Vegetation Index (NDVI) and Canopy Cover (Cveg), alongside physical sampling of plant height and biomass. Statistical analysis revealed that both the seeding strategy and soil variability significantly affected early growth. The "Uniformise" strategy recorded the highest plant height, NDVI, and Cveg values, whereas the "Optimise" strategy performed the poorest. Additionally, an accumulation of 407.5 Growing Degree-Days (GDDs; ºC) accelerated the phenological cycle by five days relative to the climatological normal. Despite differences in vegetative vigour, no statistically significant variations were observed in final biomass across the strategies. These results indicate that while the "Uniformise" approach provided a more balanced environment for early establishment under these specific Mediterranean conditions, the lack of biomass differentiation highlights the potential for resource optimisation. The study demonstrates that UAV-based remote sensing is a useful diagnostic tool to identify these spatial limitations, providing the data to refine variable-rate seeding (VRS) algorithms and improve the economic efficiency of precision sowing.</summary>
    <dc:date>2026-03-01T00:00:00Z</dc:date>
  </entry>
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