Article
Agriculture, Multidisciplinary
Sofia Stirling, Santiago Farina, David Pacheco, Ronaldo Vibart
Summary: The study evaluated the predictive ability of the whole-farm model Farmax Dairy Pro in simulating grazing dairy systems in Uruguay and found that the model provided robust predictions for monthly patterns of milk yields but had a poor ability to predict individual milk yields and body weight.
AGRICULTURAL SYSTEMS
(2021)
Review
Environmental Sciences
Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Nejc Bezak, Marcella Biddoccu, Artemi Cerda, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh Kiani-Harchegani, Ivan Lizaga Villuendas, Changjia Li, Luigi Lombardo, Manuel Lopez-Vicente, Manuel Esteban Lucas-Borja, Michael Marker, Francis Matthews, Chiyuan Miao, Matjaz Mikos, Sirio Modugno, Markus Moeller, Victoria Naipal, Mark Nearing, Stephen Owusu, Dinesh Panday, Edouard Patault, Cristian Valeriu Patriche, Laura Poggio, Raquel Portes, Laura Quijano, Mohammad Reza Rahdari, Mohammed Renima, Giovanni Francesco Ricci, Jesus Rodrigo-Comino, Sergio Saia, Aliakbar Nazari Samani, Calogero Schillaci, Vasileios Syrris, Hyuck Soo Kim, Diogo Noses Spinola, Paulo Tarso Oliveira, Hongfen Teng, Resham Thapa, Konstantinos Vantas, Diana Vieira, Jae E. Yang, Shuiqing Yin, Demetrio Antonio Zema, Guangju Zhao, Panos Panagos
Summary: This study reviewed global literature published between 1994 and 2017 to establish the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database, which includes 3030 modeling records from 126 countries. The database provides comprehensive insights into the state-of-the-art of soil erosion models and applications worldwide.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agricultural Economics & Policy
Rakhe Balachandran, Jerrod Penn, Maria Bampasidou
Summary: The design of rural development policies and government programmes relies on accurate estimates of off-farm labour supply elasticity. However, the wide variation in estimates reduces their predictive power for targeted interventions. A meta-analysis of 137 elasticity estimates from 43 studies identifies the influence of modeling choices on self-selection and life-cycle elements. However, study-specific characteristics do not explain the variation in elasticities.
JOURNAL OF AGRICULTURAL ECONOMICS
(2023)
Article
Geosciences, Multidisciplinary
Ahmed Alliouche, Yacine Kouba
Summary: This study used the desertification sensitivity index (DSI) to identify at-risk regions in Algeria and examine changes in land sensitivity to desertification from 2000 to 2020. The results revealed that the High Plains were particularly susceptible to desertification, and climate and vegetation quality were key drivers of the DSI. Negative changes in land sensitivity occurred mainly in the High Plains, Tell Atlas Mountain ranges, and littoral fringe, while positive changes were observed due to the establishment of new forest plantations and croplands. These findings provide a comprehensive understanding of desertification risk in Algeria and its drivers.
Article
Agriculture, Multidisciplinary
Thomas Knoke, Elizabeth Gosling, Esther Reith
Summary: This study proposes a concept to integrate off-farm income into a land allocation model, taking into account the impact of reallocating on-farm labor on tropical deforestation. The study found that off-farm income can reduce farmers' dependency on deforestation-related agricultural income, leading to less deforestation. The effect of labor reallocation has a slightly greater impact on reducing deforestation compared to the income effect.
JOURNAL OF LAND USE SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
M. Kearney, E. G. O'Riordan, M. McGee, J. Breen, P. Crosson
Summary: Global demand for grass-based beef systems is increasing, highlighting the need for a comprehensive analysis of the sustainability of dairy-beef systems.
AGRICULTURAL SYSTEMS
(2022)
Article
Environmental Sciences
Azam Abolhasani, Gholamreza Zehtabian, Hassan Khosravi, Omid Rahmati, Esmail Heydari Alamdarloo, Paolo D'Odorico
Summary: This research aimed to develop a new conceptual framework to predict land degradation (LD) susceptibility based on net primary production (NPP) and machine learning approaches. The study successfully predicted the occurrence sites of LD in the Qazvin Plain, Iran by considering the trends of NPP changes and other geo-environmental factors.
LAND DEGRADATION & DEVELOPMENT
(2022)
Article
Geography
Ankita Rathi
Summary: This paper demonstrates that resilience in rural areas is driven by processes both within and outside agriculture, using a case study of a village dominated by small and medium landowning households in the Patiala district of Punjab, India.
JOURNAL OF RURAL STUDIES
(2022)
Article
Environmental Studies
Yoosoon An, Soojin Park
Summary: This study aims to build an agent-based model to understand the risk of land degradation and famine in North Korea, and explore potential solutions to mitigate this risk. The model reflects the general information of collective farms in North Korea and the abstract of the social-ecological system of North Korean agriculture.
Review
Biodiversity Conservation
Siyuan Feng, Wenwu Zhao, Tianyu Zhan, Yue Yan, Paulo Pereira
Summary: This study provides an overview of land degradation neutrality (LDN) research and discusses LDN assessment indicators, analysis methods for driver factors, predictions, and the relationship between LDN and land degradation, land restoration, and sustainable development goals. The study found a need for further research on LDN indicators in different regions, the development of qualitative and quantitative monitoring methods for LDN changes, quantification of LDN driver factors, clarification of future trends, and promotion of the implementation of sustainable development goals.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Rebar Tahseen Mzuri, Yaseen T. Mustafa, Abdulla Amir Omar
Summary: Land degradation is a complex environmental issue influenced by natural and human factors. Using GIS, multispectral satellite images, and analytical processes can help model and assess risks. The study in the Duhok district of Iraq showed that slope gradient, rainfall, and vegetation distribution were primary causes of land degradation.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Studies
Qianyu Zhao, Helen X. H. Bao, Zhanlu Zhang
Summary: The non-agricultural employment transfer of rural labor force has significantly changed labor input in China in recent decades. Studies have found a U-shaped relationship between off-farm employment of rural laborers and agricultural land use efficiency, with policy implications for household registration and rural land use system reform. Content analysis of rural land use policies from 2014 to 2020 revealed a focus on rural-urban mobility, rural land rights market development, and rural land rights protection, aiming to improve rural land use efficiency. Despite the lack of synergy among these areas, the central government has implemented policies to support coordinated actions. Lessons learned from China also provide valuable insights for addressing rural labor loss in other developing countries.
Article
Chemistry, Analytical
German Kust, Olga Andreeva, Darya Shklyaeva
Summary: A scientific assessment of land changes in Uzbekistan using the concept of Land Degradation Neutrality (LDN) showed that investments in irrigation improvement have positively impacted land productivity dynamics over the past decade. However, the study also revealed diverse dynamics in land productivity, including dry and humid extremes, due to climate fluctuations.
Article
Green & Sustainable Science & Technology
Lorenz Winkler, Onur A. Kilic, Jasper Veldman
Summary: This study aims to explore how actors in the offshore wind farm decommissioning supply chain collaborate to manage collective uncertainties. Semi-structured expert interviews were conducted with ten companies in the Netherlands, Germany, and Belgium. The findings suggest that businesses currently utilize collaborative communication, information sharing, and joint knowledge creation to mitigate the adverse effects of collective uncertainties. However, barriers such as intellectual property or the lack of resources severely impede collaboration.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Environmental Sciences
Liangliang Jiang, Anming Bao, Guli Jiapaer, Rui Liu, Ye Yuan, Tao Yu
Summary: This study examined land degradation in Central Asia, establishing the OLDI index to monitor degradation and exploring driving forces in different areas. Most regions did not achieve Land Degradation Neutrality, with drought and anthropogenic disturbances identified as main drivers requiring restoration measures.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agriculture, Multidisciplinary
Alfredo A. Adler, Graeme J. Doole, Alvaro J. Romera, Pierre C. Beukes
AGRICULTURAL SYSTEMS
(2015)
Article
Agriculture, Multidisciplinary
Graeme J. Doole, Alvaro J. Romera
AGRICULTURAL SYSTEMS
(2015)
Article
Agriculture, Multidisciplinary
Graeme J. Doole, Ross Kingwell
AGRICULTURAL SYSTEMS
(2015)
Article
Agriculture, Multidisciplinary
Graeme J. Doole
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2015)
Article
Environmental Sciences
Hannah Mueller, David P. Hamilton, Graeme J. Doole
ENVIRONMENTAL RESEARCH LETTERS
(2015)
Article
Soil Science
Graeme J. Doole
NUTRIENT CYCLING IN AGROECOSYSTEMS
(2015)
Article
Agriculture, Dairy & Animal Science
Alvaro J. Romera, Graeme J. Doole
ANIMAL PRODUCTION SCIENCE
(2015)
Book Review
Agricultural Economics & Policy
Graeme J. Doole
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2016)
Article
Agricultural Economics & Policy
David Pannell, Graeme Doole, Jimmy Cheung
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2016)
Article
Computer Science, Interdisciplinary Applications
C. Beverly, A. Roberts, G. Doole, G. Park, F. R. Bennett
ENVIRONMENTAL MODELLING & SOFTWARE
(2016)
Article
Ecology
Hannah Mueller, David P. Hamilton, Graeme J. Doole
ECOSYSTEM SERVICES
(2016)
Article
Agronomy
A. J. Romera, G. J. Doole
GRASS AND FORAGE SCIENCE
(2016)
Article
Agriculture, Multidisciplinary
A. J. Romera, G. J. Doole, E. N. Khaembah
JOURNAL OF AGRICULTURAL SCIENCE
(2015)
Article
Agricultural Economics & Policy
Robertson R. B. Khataza, Atakelty Hailu, Marit E. Kragt, Graeme J. Doole
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
(2017)
Article
Agriculture, Multidisciplinary
Alvaro J. Romera, Graeme J. Doole, Pierre C. Beukes, Norman Mason, Paul L. Mudge
AGRICULTURAL SYSTEMS
(2017)