56 documents found, page 1 of 6
Spatial Diagnosis of Climatic and Landscape Controls on Forest Leaf Area Index ...
Mu, Yiyang; Wang, Guojie; Zhu, Chenxi; Cabral, PedroForest cover condition is a key determinant of ecosystem functioning and ecological resilience, yet its spatial variability across large and environmentally heterogeneous regions remains insufficiently understood. Leaf area index (LAI) provides a continuous and physically meaningful indicator of forest canopy condition, reflecting variations in canopy density associated with climate and landscape structure. Her...
Enhancing carbon sinks in China using a spatially-optimized forestation strategy
Dong, Yanli; Yu, Zhen; Pugh, Thomas; Agathokleous, Evgenios; Zhang, Fangmin; Sitch, Stephen; You, Weibin; Han, Wangya; Olin, Stefan; Liu, ShirongChina plans expanding 49.5 million hectares of new forests by 2050 to strengthen carbon sequestration. However, estimates of the carbon benefits from this expansion rarely consider the effect of ‘forest edge’, where tree mortality increases under intensified stress from wind, drought, pests, and fire. Here we show that proximity to forest edges substantially reduces biomass carbon storage, and develop a spatial...
A Daily Soil Moisture–Temperature Compound Index for Characterising Dry–Hot Ext...
Aftab, Rukhshinda; Wang, Guojie; Hagan, Daniel Fiifi Tawia; Shan, Baoying; Siddique, Fareeha; Zhou, Chensi; Yeboah, Emmanuel; Cabral, PedroCompound dry–hot extremes are increasing globally, yet existing indices often overlook the critical role of soil moisture in regulating moisture surplus or deficit. This study proposes the Standardised Soil Moisture Temperature Compound Index (SSTCI), a globally applicable, daily-scale index derived from the joint probability of the Standardised Antecedent Soil Moisture Index (SASMI) and Standardised Temperatur...
Interpretable machine-learning diagnosis of forest gross primary productivity p...
Cabral, Pedro; Ren, Xiaofeng; Zhu, Chenxia; Yeboah, Emmanuel; Wang, Guojie; Xu, Erwen; Jing, Wenmao; Charrua, Alberto; Hakam, OualidUnderstanding the spatial variability of forest gross primary productivity (GPP) is essential for diagnosing ecosystem functioning and supporting monitoring and management within protected areas. However, many data-driven approaches emphasize predictive performance while offering limited interpretability of the drivers underlying spatial heterogeneity. Here, we develop an interpretable machine-learning framewor...
Spatially explicit assessment of carbon storage and sequestration in forest eco...
almeida, bruna; Monteiro, Luís; Tiengo, Rafaela; Freire Gil, Artur José; Cabral, PedroABSTRACT: Forests play an important role in the global carbon cycle, making accurate assessments of carbon dynamics essential for effective forest management and climate change mitigation strategies. This research examines the spatiotemporal patterns of carbon storage and sequestration (CSS) in forests' aboveground biomass using satellite data, machine learning (Support Vector Machines), carbon modelling and sp...
A hybrid modelling approach for detecting seasonal variations in inland Green-B...
ALMEIDA, BRUNA; Cabral, PedroDeforestation, environmental pollution, and the overexploitation of resources, in addition to the Earth's natural cycles, are scaling up the impacts of climate change in the provision of Ecosystem Services (ES). Green-Blue Ecosystems (GBE) are impacted by climatic conditions, topography, and water presence. Data-driven modelling techniques may effectively capture the effects of seasonal variations while modelli...
Rasmussen’s Syndrome: Case-Series Study from a Refractory Epilepsy Reference Ce...
Serôdio, Miguel; Pires, Marcela; Azurara, Laura; Santos, Alexandra; Sá, Francisca; Silva, Rita; Canas, Nuno; Ferreira, José Carlos; Cabral, PedroIntroduction: Rasmussen’s syndrome (RS) is a rare immunomediated disease of childhood-predominant onset, presenting with refractory epilepsy and neurological deficits associated to progressive brain hemiatrophy. Its pathophysiological mechanisms are not well understood, and the effect of immunotherapy is not ascertained. Hemispheric surgery is an efficacious therapy for epilepsy, despite focal and cognitive seq...
Satellite-based Machine Learning modelling of Ecosystem Services indicators: A ...
ALMEIDA, BRUNA; David, João; S. Campos, Felipe; Cabral, PedroSatellite-based Machine Learning (ML) modelling has emerged as a powerful tool to understand and quantify spatial relationships between landscape dynamics, biophysical variables and natural stocks. Ecosystem Services indicators (ESi) provide qualitative and quantitative information aiding the assessment of ecosystems’ status. Through a systematic meta-analysis following the PRISMA guidelines, studies from one d...
Top 10+1 indicators for assessing forest ecosystem conditions: A five-decade fr...
Almeida, Bruna; Cabral, Pedro; Fonseca, Catarina; Gil, Artur; Scemama, PierreGlobally, land use change has consistently resulted in greater losses than gains in aboveground biomass (AGB). Forest fragmentation is a primary driver of biodiversity loss and the depletion of natural capital. Measuring landscape characteristics and analyzing changes in forest landscape patterns are essential for accounting for the contributions of forest ecosystems to the economy and human well-being. This st...
Data-driven decisions: Artificial intelligence-based experimental validation of...
Figueiredo, Ronnie; Cabral, PedroSeveral studies address the main topic of research, ecosystem services. It is also proven that decision-making in organizations generally involves a decision-maker, who assumes internal responsibility for the results. However, when the decision is collective, we need to think about the context of governance. How can we increase the sustainable decisions of ocean ecosystem services governance? When this decision...