2022
DOI: 10.1016/j.rsase.2022.100796
|View full text |Cite
|
Sign up to set email alerts
|

Arid and semiarid rangeland responses to non-stationary temporal dynamics of environmental drivers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 72 publications
0
2
0
Order By: Relevance
“…To better address biophysical heterogeneity, the selection of landscape units for the installation of new monitoring plots in the field should include more assessment sites and consider other criteria, such as the temporal variation of vegetation productivity (Bruzzone & Easdale, 2021; Easdale et al., 2022) and its responses to changes in climatic variables (Bruzzone et al., 2023). The proposed approach allows us to relate floristic archetypes with environmental variables and more easily describe changes over time.…”
Section: Discussionmentioning
confidence: 99%
“…To better address biophysical heterogeneity, the selection of landscape units for the installation of new monitoring plots in the field should include more assessment sites and consider other criteria, such as the temporal variation of vegetation productivity (Bruzzone & Easdale, 2021; Easdale et al., 2022) and its responses to changes in climatic variables (Bruzzone et al., 2023). The proposed approach allows us to relate floristic archetypes with environmental variables and more easily describe changes over time.…”
Section: Discussionmentioning
confidence: 99%
“…A family of vegetation phenology classifications addressing NDVI metrics, has gained increased research attention to characterizing temporal oscillations and shifts of vegetation productivity [5]. For instance, identifying a sudden increase or an abrupt surpass of a threshold value, the date and magnitude of maximum and minimum values, changes in the length of the growing season, long-term shifts or trends, a variety of time-frequencies measures and different kind of noise, e.g., [6][7][8][9][10][11][12]. Whereas NDVI time series give opportunities to characterize temporal dynamics of different ecosystems at coarse scales, identifying the contribution of different vegetation species or patches at finer scales is still a challenge.…”
Section: Introductionmentioning
confidence: 99%