Sensing Linked Cues for Ecosystem Risk and Decisions-Reference-Cited by-同舟云学术

Sensing Linked Cues for Ecosystem Risk and Decisions

Published:2023-09-29 Issue:10 Volume:10 Page:169
ISSN:2076-3298
Container-title:Environments
language:en
Short-container-title:Environments

Author:

Convertino Matteo¹²^ORCID

Affiliation:

1. fuTuRE EcoSystems Lab (TREES), Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

2. Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China

Abstract

Ecological indicators of ecosystem anomalies are fundamentally important to sensing how close we are to slow or catastrophic ecosystem shifts and to targeting systemic controls for preservation, restoration and eco-based development [...]

Publisher

MDPI AG

Subject

General Environmental Science,Renewable Energy, Sustainability and the Environment,Ecology, Evolution, Behavior and Systematics

Link

https://www.mdpi.com/2076-3298/10/10/169/pdf

Reference17 articles.

1. Wang, H., Galbraith, E., and Convertino, M. (2023). Algal Bloom Ties: Spreading Network Inference and Extreme Eco-Environmental Feedback. Entropy, 25.

2. Légaré, B., Bélanger, S., Singh, R.K., Bernatchez, P., and Cusson, M. (2022). Remote Sensing of Coastal Vegetation Phenology in a Cold Temperate Intertidal System: Implications for Classification of Coastal Habitats. Remote Sens., 14.

3. Vivar-Vivar, E.D., Pompa-García, M., Martínez-Rivas, J.A., and Mora-Tembre, L.A. (2022). UAV-Based Characterization of Tree-Attributes and Multispectral Indices in an Uneven-Aged Mixed Conifer-Broadleaf Forest. Remote Sens., 14.

4. Zhao, N., Wang, H., Zhong, J., Bai, Y., and Yi, S. (2023). Evaluation of the Gross Ecosystem Product and Analysis of the Transformation Path of “Two Mountains” in Hulunbuir City, China. Land, 12.

5. Jolly, B., Dymond, J.R., Shepherd, J.D., Greene, T., and Schindler, J. (2022). Detection of Southern Beech Heavy Flowering Using Sentinel-2 Imagery. Remote Sens., 14.

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