Multi-scenario simulation of land use optimization based on ecosystem services and ecological security patterns in the Liaohe River Basin by Qing Luo, Jing Zhang, Yajing Bao, Yilin Zhang, Jie Yu, Jiaxin Li, Xunwen Wu, Shuai Zhang, Nan Cao, Dongli Wang

“…These ESPs were further embedded as redline constraints in scenario-based land use simulations under four development pathways, forming a spatial structure that links ecological function with landscape connectivity and couples service assessments with spatial policy optimization.ResultsThe results showed that: (1) the Total Ecosystem Service (TES) exhibited a spatial gradient of high values in the east and west and low values in the central basin, with the strongest synergy with habitat quality, and the weakest with water yield; (2) ecosystem service bundle zoning revealed that the Comprehensive Service Function Zone and the Ecological Buffer Zone had the highest levels of diversity and connectivity, while the Agricultural Development Priority Zone exhibited a strong coupling between spatial structure and dominant function; (3) among different scenarios, the ecological-priority scenario (PEP) reduced net forest loss by 63.2% compared to the economic-priority scenario (PUD), significantly enhancing ecological spatial integrity.DiscussionThis study proposed a scenario-based simulation framework to support ecological redline delineation and watershed-scale ecosystem governance for territorial ecological restoration.…”
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Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions by Amanda J. Warlick, Brian S. Fadely, Peter Mahoney, Sharon R. Melin, Tom Gelatt, Kim Raum‐Suryan, Sarah J. Converse

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Ecological zone construction and multi-scenario simulation in Western China combining landscape ecological risk and ecosystem service value by Zihao Wang, Bing Wang, Yufei Zhang, Rula Sa, Qiuliang Zhang, Shuai Hao

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La modélisation : un outil pour la gestion et l'aménagement en forêt. by Françiois Goreaud, F. de Coligny, Benoit Courbaud, JF. Dhôte, Ph. Dreyfus, Thomas Pérot

“…In order to predict the evolution of forest stands, and thus to facilitate forest management, researchers have developed different types of models of stand dynamics. …”
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Investigation of Growth and Ginsenoside Content of Wild-Simulated Ginseng Cultivated in Different Vegetation Environments for Establishing a Plant Growth Model by Yeong-Bae Yun, Myeongbin Park, Yi Lee, Yurry Um

“…This study aimed to investigate the correlation between growth and ginsenoside content of WSG in two different cultivation environments: coniferous and mixed forests. The results showed that air temperature, soil moisture content, and solar radiation were higher in mixed forest than in coniferous forest. …”
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Zone adaptive fuel mapping for high resolution wildfire spread forecasting by Paula Sánchez, Irene González, Carlos Carrillo, Ana Cortés, Remo Suppi, Tomàs Margalef

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Yes, they're all individuals: Hierarchical models for repeat survey data improve estimates of tree growth and size by Tess O'Brien, David Warton, Daniel Falster

“…Abstract Repeat measurement surveys of tree size are used in forests to estimate growth behaviour, biomass and population dynamics. …”
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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…This study investigates land use changes in Jilin Province from 2000 to 2020, independently constructing land cover change simulation frameworks using the PLUS model and U-Net neural network, and simulates land use for the year 2030. …”
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Identification and Optimization of Urban Avian Ecological Corridors in Kunming: Framework Construction Based on Multi-Model Coupling and Multi-Scenario Simulation by Xiaoli Zhang, Zhe Zhang

“…This study employs a multi-model coupling and multi-scenario simulation approach to construct a framework for identifying and optimizing avian ecological corridors in the urban core of Kunming. …”
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SK-TreePCN: Skeleton-Embedded Transformer Model for Point Cloud Completion of Individual Trees from Simulated to Real Data by Haifeng Xu, Yongjian Huai, Xun Zhao, Qingkuo Meng, Xiaoying Nie, Bowen Li, Hao Lu

“…Tree structural information is essential for studying forest ecosystem functions, driving mechanisms, and global change response mechanisms. …”
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Genetic Basis of Reproductive Isolation in Torrey Pine (Pinus torreyana Parry): Insights From Hybridization and Adaptation by Lionel N. Di Santo, Alayna Mead, Jessica W. Wright, Jill A. Hamilton

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From progeny trial to stand projections: A modelling approach to genetic gains in silver birch by Pauls Zeltiņš, Arnis Gailis, Āris Jansons

“…Using data from a 12-year-old progeny trial, we modelled stand development under different forest reproductive material (FRM) categories: unimproved (‘source-identified’), moderately improved (‘qualified’), and genetically superior (‘tested’). …”
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Exploring the Balance Between Ecosystem Services and Economic Benefits via Multi-Objective Land Use Optimization by Xiaoyun Li, Zhaonian Lu

“…The non-dominated sorting genetic algorithm II (NSGA-II) and the future land simulation (FLUS) model are integrated innovatively to explore optimal land use in terms of both quantity and spatial distribution. …”
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Sensitivity assessment and simulation of ecosystem services in response to land use change in arid regions: Empirical evidence from Xinjiang, China by Xiaoyun Li, Chunsheng Wu

“…An improved framework for assessing and simulating ecosystem services combining a modified equivalent factor method, a future land use simulation (FLUS) model, and a cross-sensitivity analysis is proposed. …”
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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

“…Finally, a numerical simulation of a regional focus area is conducted, simulating the excavation process of an open-pit mine and analyzing the timing, location, and state of potential landslides. …”
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Wind during terrestrial laser scanning of trees: Simulation-based assessment of effects on point cloud features and leaf-wood classification by W. Albert, H. Weiser, H. Weiser, R. Tabernig, R. Tabernig, B. Höfle, B. Höfle

“…In this study, we investigate the impact of wind during multi-station Terrestrial Laser Scanning (TLS) acquisition on tree structure and leaf-wood classification by simulating TLS acquisitions of trees in both static and windy conditions using the LiDAR simulator HELIOS++. …”
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Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model by Yonglin Jia, Yi Li, Asim Biswas, Jiayin Pang, Xiaoyan Song, Guang Yang, Zhen’an Hou, Honghai Luo, Xiangwen Xie, Javlonbek Ishchanov, Ji Chen, Juanli Ju, Kadambot H.M. Siddique

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Simulating water and salt changes in the root zone of salt–alkali fragrant pear and the selection of the optimal surface drip irrigation mode by Yanjie Li, Yanjie Li, Ping Gong, Ping Gong, Xinlin He, Xinlin He, Hongguang Liu, Hongguang Liu, Zhijie Li, Zhijie Li, Ling Li, Ling Li, Chunxia Wang, Chunxia Wang, Qiang Xu, Qiang Xu, Quan Chen, Jie Wei, Ping Lin, Xuyong Yu

“…The root zone soil water content (SWC) and soil salinity content (SSC) dynamics were simulated during the fertility period of fragrant pear using the numerical model HYDRUS-2D and field data. …”
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The Effect of Land Use Change on Runoff Using the SWAT Model in the Tajan Watershed by hayede bayani, ali bagheri, Davod Akbari Nodehi, Valiollah Karimi

“…The destruction of forest lands can also be attributed to livestock grazing. …”
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Simulation and Analysis of Changes in Carbon Storage and Ecosystem Services Against the Backdrop of Land Transfer: A Case Study in Lvzenong Park by Nan Chen, Wanqing Nie, Weiguo Fan

“…The key findings include the following: (1) From 2015 to 2115, carbon storage in apple orchards, forests, and grassland systems initially increase then decrease, while soil carbon storage declines steadily and the overall atmospheric CO₂ carbon pool increases. …”
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