Habitat distribution modelling to identify areas of high conservation value under climate change for Mangifera sylvatica Roxb. of Bangladesh
Bibliographic Data
| ID | 11468350 |
|---|---|
| Authors | Sayma Akhter (0009-0005-5965-9605, Bangor University, corresponding author), Morag Mcdonald (0000-0002-5908-5315, Bangor University), Morag A McDonald, Paulo van Breugel (0000-0001-9579-0831, World Agroforestry Centre), Shawkat Sohel (The University of Queensland), Erik Dahl Kjær (0000-0001-8624-1611), Ray Mariott (Bangor University) |
| Year | 2017 |
| Volume | 60 |
| Pages | 223-232 |
| Publication date | 2017-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Land Use Policy (JOURNAL) |
| Journal identifiers | ISSN: 0264-8377 • E-ISSN: 1873-5754 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.landusepol.2016.10.027 |
| OpenAlex | W2546848470 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
Biology · Climate change · Climate model · Conservation status · Distribution (mathematics · Ecological niche · Effects of global warming · Environmental niche modelling · Environmental resource management · Geography · Global warming · Habitat · Representative Concentration Pathways · Species distribution · Threatened species · Ecology and Vegetation Dynamics Studies · Environmental Science · Forest Insect Ecology and Management · Species Distribution and Climate Change · Ecology
Novel methods improve prediction of species’ distributions from occurrence data
Very high resolution interpolated climate surfaces for global land areas
Beyond Predictions
A statistical explanation of MaxEnt for ecologists
The RCP greenhouse gas concentrations and their extensions from 1765 to 2300
Original Article
A globally coherent fingerprint of climate change impacts across natural systems
Scenarios of long-term socio-economic and environmental development under climate stabilization
Implications of Limiting CO 2 Concentrations for Land Use and Energy
Predicting species distribution
Maximum entropy modeling of species geographic distributions
Confronting Multicollinearity in Ecological Multiple Regression
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |