2020
DOI: 10.1016/j.gecco.2020.e01106
|View full text |Cite
|
Sign up to set email alerts
|

Patterns of diversity change for forest vegetation across different climatic regions - A compound habitat gradient analysis approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 8 publications
(11 citation statements)
references
References 51 publications
0
8
0
Order By: Relevance
“…In our study, sites with high shrub cover represent large native Atlantic Forest fragments. These sites shelter rich bird assemblages (Tonetti et al 2017), while low functional divergence may reflect a strong niche overlap and competition intensity between species, and high use of resources by the community (Yao et al 2020). Furthermore, low functional divergence also indicates a high functional redundancy and resilience in source areas (large fragments) compared to small and isolated urban parks, reaffirming the role played by large fragments in the prevention of a potential long-term erosion of ecosystem functions (Magnago et al 2014).…”
Section: Discussionmentioning
confidence: 77%
“…In our study, sites with high shrub cover represent large native Atlantic Forest fragments. These sites shelter rich bird assemblages (Tonetti et al 2017), while low functional divergence may reflect a strong niche overlap and competition intensity between species, and high use of resources by the community (Yao et al 2020). Furthermore, low functional divergence also indicates a high functional redundancy and resilience in source areas (large fragments) compared to small and isolated urban parks, reaffirming the role played by large fragments in the prevention of a potential long-term erosion of ecosystem functions (Magnago et al 2014).…”
Section: Discussionmentioning
confidence: 77%
“…According to the results of the present study, biodiversity from west (Gilan Province) to east (Golestan Province) often has an increasing trend in the Hyrcanian forest. Temperature increases from west to east as does biodiversity [23], But the annual precipitation decreases from 1345 mm at the Asalem forest in Gilan Province at the westernmost point to 524 mm at the Loveh forest in Golestan Province in the easternmost point. In addition, there are other factors that increase or decrease biodiversity in a forest site, the most important of which is elevation, Species diversity decreases with increasing elevation.…”
Section: Nearest Neighbor Algorithmmentioning
confidence: 96%
“…Species such as Fagus orientalis and Carpinus betulus are important in the region, while other species also had a positive effect in the modeling process [80]. Similarly, patterns of diversity across different climate zones [23] in four climate regions in China, including tropical (three sites in Yunnan Province), subtropical (two sites in Hubei Province), warm temperate (one site Gansu Province) and temperate (one site Xinjiang Uygur Autonomous area) showed that both biotic and abiotic factors change the diversity of the forest community between different climatic zones. Other studies have considered both biotic and abiotic factors Assessing the relative importance of mean air temperature, nitrogen availability and direct plant interactions in determining the millennial-scale population dynamics for four temperate tree taxa in the Scottish Highland concluded that all of factors are important [20,21].…”
Section: Effect Of Biotic and Abiotic Factors On Biodiversity Indexmentioning
confidence: 99%
See 1 more Smart Citation
“…Understanding the patterns of biodiversity and their relationship with environmental gradients is a key issue in ecological research and conservation in forests. Several environmental factors can [1,2]. It is therefore essential to distinguish among the effects natural factors from the anthropogenic ones (e.g., environmental pollution, climate change, forest management) by adopting reliable models able to predict future scenarios of species distribution [3].…”
mentioning
confidence: 99%