Ecological modeling/
By WenJun Zhang
- New York Nova Science Publishers, 2012.
- xiii, 405 p. : ill. ; 27 cm.
Includes bibliographical references and index
Ecological modeling is a quantitative approach used to understand, simulate, and predict the structure and dynamics of ecological systems. By integrating mathematics, statistics, and computational techniques, ecological models represent interactions among organisms, populations, communities, and their environments. These models range from simple analytical frameworks, such as population growth equations and predator–prey systems (e.g., the Lotka–Volterra equations), to complex, spatially explicit simulations that incorporate climate, land use, and biogeochemical processes.
Ecological modeling plays a crucial role in addressing contemporary environmental challenges, including biodiversity loss, habitat fragmentation, climate change impacts, and resource management. Models are used to test ecological hypotheses, forecast species distributions, evaluate ecosystem services, and inform conservation and policy decisions. Advances in remote sensing, geographic information systems (GIS), and machine learning have enhanced model accuracy and scalability http://172.20.27.22:4000/handle/123456789/125