Library

Publications

11: Use of drone RGB imagery to quantify indicator variables of tropical-forest-ecosystem degradation and restoration  

Publication date16 Mar 2023
Author(s)Lee, K.; Elliott, S.; Tiansawat, P.
PublisherForests
Format

ABSTRACT: Recognizing initial degradation levels is essential to planning effective measures to restore tropical forest ecosystems. However, measuring indicators of forest degradation is...

12: The road to recovery: a synthesis of outcomes from ecosystem restoration in tropical and sub-tropical Asian forests

Publication date14 Nov 2022
Author(s)Banin Lindsay F., Raine Elizabeth H., Rowland Lucy M., Chazdon Robin L., et al. including Elliott, S and Manohan, B.
Editors(s)Andrew R. Marshall, Lindsay F. Banin, Marion Pfeifer, Catherine E. Waite, Sarobidy Rakotonarivo, Susan Chomba and Robin L. Chazdon
PublisherPhil. Trans. R. Soc. B3782021009020210090
Format

Abstract: Current policy is driving renewed impetus to restore forests to return ecological function, protect species, sequester carbon and secure livelihoods. Here we assess the contribution of...

13: The framework species method—harnessing natural regeneration to restore tropical forest ecosystems

Publication date14 Nov 2022
Author(s)Elliott, S., N.I.J. Tucker, D. Shannon & P. Tiansawat
PublisherPreprint (submitted to Phil. Trans. B.)
Format

Abstract: The framework species method (FSM) restores forest ecosystems by densely planting open sites, close to natural forest, with a group of woody species, characteristic of the reference...

14: Young Forest Restorers—Action Book

Publication date11 Nov 2022
Author(s)FORRU-CMU
PublisherChiang Mai University
Format

This user-friendly booklet guides school children through a series of hands-on forest-restoration activities from seed collection and germination to growing trees in nurseries, tree planting,...

15: Use of Unmanned Aerial Vehicle (UAV) Imagery to Monitor Progress of Early Forest Ecosystem Restoration in an Opencast Mine

Publication dateSep 2022
Author(s)Changsalak, P.
PublisherGraduate School, Chiang Mai University, Thailand.
Format

ABSTRACT: Monitoring forest restoration is essential for improving and advancing restoration techniques, but human-based monitoring is costly as it requires intensive labour in the field. Although...

16: Bar-HRM for Species Confirmation of Native Plants Used in Forest Restoration in Northern Thailand

Publication date24 Jun 2022
Author(s)Osathanunkul, M.; Sawongta, N.; Madesis, P.; Pheera,W.
PublisherForests
Format

ABSTRACT: Plant species confirmation is a crucial step in using native plant species for forest restoration. To enhance this, a hybrid method of DNA barcoding and high-resolution melting analysis...

17: Climate niche modelling for mapping potential distributions of four framework tree species: Implications for planning forest restoration in Tropical and Subtropical Asia

Publication date24 Jun 2022
Author(s)Tiansawat, P.; Elliott, S.D.; Wangpakapattanawong, P.
Publisher Forests
Format

ABSTRACT: Selecting tree species to plant for forest ecosystem restoration is critical but problematic. Knowing tree species’ climatic niches can help, but such information is limited for most...

18: Exploring the Environment & Nature of Chiang Mai: a Teachers' Handbook—ENGLISH VERSION 

Publication date20 Mar 2022
Author(s)FOREST RESTORATION RESEARCH UNIT
PublisherChiang Mai University
Format

  The Thai version of the manual received 3rd prize in the writing category of the Green Globe Institute Awards. Phai and Som (our education officers), who were primary writers and designers of...

19: Seed dispersal and seed predation between natural forest and restored forest area in Mae Rim District, Chiang Mai

Publication date16 Mar 2022
Author(s)Titaree Yamsri
PublisherChiangmai University
Format

ABSTRACT: Seed dispersal and seed predation are natural mechanisms reflecting natural regeneration. The objective of this study was to compare seed dispersal and the effect of seed predators in a...

20: Comparison of seedling detection and height measurement using 3D point cloud models from three software tools: applications in forest restoration

Publication dateMar 2022
Author(s)Changsalak, P. & P. Tiansawat
PublisherEnvironmentAsia Journal, 15, 100-105. DOI 10.14456/ea.2022.26
Format

ABSTRACT: A challenge for forest restoration is monitoring success, particularly in terms of seedling survivorship. 3D-point-cloud models, generated from aerial images taken from unmanned aerial...

    • 11: 79
    • 12: 59
    • 13: 56
    • 15: 39
    • 14: 30
    • 37: 30
    • 36: 27
    • 10: 26
    • 34: 26
    • 41: 26
    • 33: 17
    • 39: 14
    • 35: 13
    • 16: 9
    • 40: 9
    • 38: 8
    • 55: 5
    • 28: 80
    • 42: 38
    • 18: 28
    • 26: 22
    • 19: 15
    • 47: 15
    • 46: 8
    • 45: 7
    • 43: 2
    • 44: 1
    • 48: 172
    • 21: 57
    • 50: 3
    • 51: 1
    • 53: 1