31 citations as recorded by crossref.

1. Climate change projections for the Worldwide Bioclimatic Classification System in the Iberian Peninsula until 2070 C. Andrade & J. Contente https://doi.org/10.1002/joc.6553
2. Controls and forecasts of nitrate yields in forested watersheds: A view over mainland Portugal F. Pacheco et al. https://doi.org/10.1016/j.scitotenv.2015.07.127
3. Abandonment or survival? Understanding the future of Castanea sativa stands in function of local attitude (Northern Apennine, Italy) G. Pezzi et al. https://doi.org/10.1016/j.landusepol.2016.10.049
4. Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate J. Parente et al. https://doi.org/10.1016/j.scitotenv.2016.03.129
5. Yield and Nutrient Content of Chestnut (Castanopsis piriformis) in Natural Central Highlands Forests, Vietnam N. Thang et al. https://doi.org/10.1007/s11842-015-9319-5
6. Climate Change Projections for Bioclimatic Distribution of Castanea sativa in Portugal T. Freitas et al. https://doi.org/10.3390/agronomy12051137
7. Diagnosing the nutritional condition of chestnut groves by soil and leaf analyses M. Arrobas et al. https://doi.org/10.1016/j.scienta.2017.10.027
8. Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal M. Pereira et al. https://doi.org/10.1016/j.envsoft.2015.05.016
9. Effect of Modified Atmosphere, Vacuum and Polyethylene Packaging on Physicochemical and Microbial Quality of Chestnuts (Castanea sativa) during Storage L. Fernandes et al. https://doi.org/10.1080/15538362.2020.1768619
10. Influence of Climate Change on Chestnut Trees: A Review T. Freitas et al. https://doi.org/10.3390/plants10071463
11. Olive tree response to applied phosphorus in field and pot experiments I. Ferreira et al. https://doi.org/10.1016/j.scienta.2018.02.050
12. Pedodiversity and Organic Matter Stock of Soils Developed on Sandstone Formations in the Northern Apennines (Italy) L. Vittori Antisari et al. https://doi.org/10.3390/land12010079
13. Development of a Plant Geospatial Model for Identifying Chestnut Yield‐Limiting Factors Y. Zhang et al. https://doi.org/10.2134/agronj2018.04.0241
14. Modelling Non-timber Forest Products for Forest Management Planning in Europe J. Miina et al. https://doi.org/10.1007/s40725-020-00130-7
15. Invasion by the chestnut gall wasp in Italy causes significant yield loss in Castanea sativa nut production A. Battisti et al. https://doi.org/10.1111/afe.12036
16. Assessing climate change impacts on the spatial distribution of Castanea sativa Mill. using ecological niche modeling D. CEDANO GIRALDO & D. MUMCU KÜÇÜKER https://doi.org/10.53516/ajfr.1374398
17. Large Chestnut Trees (Castanea sativa) Respond Poorly to Liming and Fertilizer Application M. Rodrigues et al. https://doi.org/10.1007/s42729-020-00210-4
18. Traditional knowledge and use value for sustainability: “Castanea sativa Mill.’ as a model of socio-economic recovery in northern Morocco I. Toujgani et al. https://doi.org/10.1016/j.crsust.2021.100075
19. Drought in Portugal: Current regime, comparison of indices and impacts on extreme wildfires J. Parente et al. https://doi.org/10.1016/j.scitotenv.2019.05.298
20. Physiological and Productive Characteristics of Castanea sativa Mill. Under Irrigation Regimes in Mediterranean Region I. Tsintsirakou & G. Nanos https://doi.org/10.3390/w17233393
21. Effects of soil nutrients and environmental factors on site productivity in Castanea sativa Mill. coppice stands in NW Spain M. Menéndez-Miguélez et al. https://doi.org/10.1007/s11056-014-9456-2
22. Increasing chestnut resilience to climate change with innovative management practices J. Gomes-Laranjo et al. https://doi.org/10.17660/ActaHortic.2018.1220.24
23. Modelling the impacts of wildfires on runoff at the river basin ecological scale in a changing Mediterranean environment M. Pereira et al. https://doi.org/10.1007/s12665-015-5184-y
24. Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data L. Pádua et al. https://doi.org/10.3390/rs12183032
25. Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks L. Feng et al. https://doi.org/10.3390/s18061944
26. The effect of the conversion of chestnut (Castanea sativa Mill.) forests to orchards on soil fertility and nutrient content in leaves E. Papaioannou et al. https://doi.org/10.1016/j.catena.2021.105948
27. Ecophysiology of Mediterranean Chestnut (Castanea sativa Mill.) Forests: Effects of Pruning Studied through an Advanced IoT System M. Chiriacò et al. https://doi.org/10.3390/f15091579
28. Strategies for the Valorisation of Chestnut Resources in Italian Mountainous Areas from a Sustainable Development Perspective S. Bruzzese et al. https://doi.org/10.3390/resources9050060
29. GIS-Based Assessment of the Chestnut Expansion Potential: A Case-Study on the Marvão Productive Area, Portugal A. Rodrigues et al. https://doi.org/10.3390/agriculture11121260
30. Assessment of Boron Application in Chestnuts: Nut Yield and Quality E. Portela et al. https://doi.org/10.1080/01904167.2014.963116
31. Current Biological Insights of Castanea sativa Mill. to Improve Crop Sustainability to Climate Change T. Marques et al. https://doi.org/10.3390/plants14030335