Landscape-based Assessment

Landscape-based assessment is an environmental evaluation approach that examines how the spatial arrangement, composition, and condition of ecosystems influence ecological functions and human impacts. It integrates information on land cover, habitat connectivity, fragmentation, topography, and environmental pressures across defined geographic scales, often using field observations, geographic information systems, and remote sensing. By linking landscape patterns with processes such as species movement, water regulation, and habitat change, this approach supports biodiversity conservation, land-use planning, restoration prioritization, and environmental monitoring. It also helps researchers and decision-makers evaluate cumulative effects and develop strategies that balance ecological integrity with sustainable development.

Landscape-based Assessment - Related Videos

Research

JoVE Journal - Cancer Research

An R-Based Landscape Validation of a Competing Risk Model

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Cited by 2 •

2022

The present protocol describes codes in R for evaluating the discrimination and calibration abilities of a competing risk model, as well as codes for the internal and external validation of it.

Education

JoVE Business - Marketing

Changing Marketing Landscape

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2024

The marketing landscape is continually evolving, with the recent drivers of change being digital technology, AI, economic shifts, and a growing emphasis on sustainability. Digital Technology has revolutionized customer engagement, offering new avenues for reaching and understanding consumers. Digital tools, spanning social media, e-commerce, data analytics, and customer relationship management systems, open new avenues for advertising, customer insights, personalized messaging, and reshaping...

Research

JoVE Journal - Cancer Research
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Multiplex Immunohistochemical Analysis of the Spatial Immune Cell Landscape of the Tumor Microenvironment

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Cited by 7 •

2023

This protocol describes in detail how immune cell characterization of the tumor microenvironment using multiplex immunohistochemistry is carried out.

Photorealistic Learned Landscapes for Augmented Reality

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2025

This paper presents a system for photorealistic 3D reconstruction using 360-degree images, Gaussian Splatting, and virtual reality integration. The approach can be applied to different applications such as education, simulating learning environments; construction, to simulate works off-sites and retrieve metrics; or healthcare, to train autistic people in daily-life tasks.

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

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Cited by 4 •

2013

This article focuses on the identification of high-confident interaction datasets between host and pathogen proteins using a combination of two orthogonal methods: yeast two-hybrid followed by a high-throughput interaction assay in mammalian cells called HT-GPCA.

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