Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Lan Qie is active.

Publication


Featured researches published by Lan Qie.


Nature Communications | 2017

Long-term carbon sink in Borneo's forests halted by drought and vulnerable to edge effects

Lan Qie; Simon L. Lewis; Martin J. P. Sullivan; Gabriela Lopez-Gonzalez; Georgia C. Pickavance; Terry Sunderland; Peter S. Ashton; Wannes Hubau; Kamariah Abu Salim; Shin-ichiro Aiba; Lindsay Banin; Nicholas J. Berry; Francis Q. Brearley; David F. R. P. Burslem; Martin Dančák; Stuart J. Davies; Gabriella Fredriksson; Keith C. Hamer; Radim Hédl; Lip Khoon Kho; Kanehiro Kitayama; Haruni Krisnawati; Stanislav Lhota; Yadvinder Malhi; Colin R. Maycock; Faizah Metali; Edi Mirmanto; Laszlo Nagy; Reuben Nilus; Robert C. Ong

Less than half of anthropogenic carbon dioxide emissions remain in the atmosphere. While carbon balance models imply large carbon uptake in tropical forests, direct on-the-ground observations are still lacking in Southeast Asia. Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha−1 per year (95% CI 0.14–0.72, mean period 1988–2010) in above-ground live biomass carbon. These results closely match those from African and Amazonian plot networks, suggesting that the world’s remaining intact tropical forests are now en masse out-of-equilibrium. Although both pan-tropical and long-term, the sink in remaining intact forests appears vulnerable to climate and land use changes. Across Borneo the 1997–1998 El Niño drought temporarily halted the carbon sink by increasing tree mortality, while fragmentation persistently offset the sink and turned many edge-affected forests into a carbon source to the atmosphere.The existence of a pan-tropical forest carbon sink remains uncertain due to the lack of data from Asia. Here, using direct on-the-ground observations, the authors confirm remaining intact forests in Borneo have provided a long-term carbon sink, but carbon net gains are vulnerable to drought and edge effects.


Ecology Letters | 2018

Topography shapes the structure, composition and function of tropical forest landscapes

Tommaso Jucker; Boris Bongalov; David F. R. P. Burslem; Reuben Nilus; Michele Dalponte; Simon L. Lewis; Oliver L. Phillips; Lan Qie; David A. Coomes

Abstract Topography is a key driver of tropical forest structure and composition, as it constrains local nutrient and hydraulic conditions within which trees grow. Yet, we do not fully understand how changes in forest physiognomy driven by topography impact other emergent properties of forests, such as their aboveground carbon density (ACD). Working in Borneo – at a site where 70‐m‐tall forests in alluvial valleys rapidly transition to stunted heath forests on nutrient‐depleted dip slopes – we combined field data with airborne laser scanning and hyperspectral imaging to characterise how topography shapes the vertical structure, wood density, diversity and ACD of nearly 15 km2 of old‐growth forest. We found that subtle differences in elevation – which control soil chemistry and hydrology – profoundly influenced the structure, composition and diversity of the canopy. Capturing these processes was critical to explaining landscape‐scale heterogeneity in ACD, highlighting how emerging remote sensing technologies can provide new insights into long‐standing ecological questions.


Methods in Ecology and Evolution | 2018

Field methods for sampling tree height for tropical forest biomass estimation

Martin J. P. Sullivan; Simon L. Lewis; Wannes Hubau; Lan Qie; Timothy R. Baker; Lindsay Banin; Jérôme Chave; Aida Cuni-Sanchez; Ted R. Feldpausch; Gabriela Lopez-Gonzalez; E.J.M.M. Arets; Peter S. Ashton; Jean François Bastin; Nicholas J. Berry; Jan Bogaert; Rene G. A. Boot; Francis Q. Brearley; Roel J. W. Brienen; David F. R. P. Burslem; Charles De Cannière; Markéta Chudomelová; Martin Dančák; Corneille Ewango; Radim Hédl; Jon Lloyd; Jean-Remy Makana; Yadvinder Malhi; Beatriz Schwantes Marimon; Ben Hur Marimon Junior; Faizah Metali

Abstract Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site‐to‐site variation in height–diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan‐tropical or regional allometric equations to estimate height. Using a pan‐tropical dataset of 73 plots where at least 150 trees had in‐field ground‐based height measurements, we examined how the number of trees sampled affects the performance of locally derived height–diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement. Using cross‐validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate‐based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand‐level biomass produced using local allometries to estimate tree height show no over‐ or under‐estimation bias when compared with biomass estimates using field measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height–diameter models with low height prediction error) entirely random or diameter size‐class stratified approaches. Our results indicate that even limited sampling of heights can be used to refine height–diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.


bioRxiv | 2018

Impending regeneration failure of the IUCN Vulnerable Borneo ironwood (Eusideroxylon zwageri)

Lan Qie; Alexander Elsy; Ashley Stumvoll; Magdalena Kwasnicka; Anna Peel; Joseph Sullivan; Maisie Ettinger; Alasdair Robertson; Jeanelle Brisbane; Amber Sawyer; Yan Lui; Siew Ow; Matteo Sebastianelli; Bartosz Majcher; Muying Duan; Hannah Vigus; Grace Pounsin; Reuben Nilus; Robert M. Ewers

The regeneration of many climax species in tropical forest critically depends on adequate seed dispersal and seedling establishment. Here we report the decreased abundance and increased spatial aggregation of younger trees of the Borneo ironwood (Eusideroxylon zwageri) in a protected forest in Sabah Malaysia. We observed a high level of seedling herbivory with strong density dependence, likely exacerbated by local aggregation and contributing to the progressively shrinking size-distribution. We also note the largely undocumented selective herbivory by sambar deer on E. zwageri seedlings. This study highlights the combined impact of altered megafauna community on a tree population through interlinked ecological processes and the need for targeted conservation intervention for this iconic tropical tree species.


Archive | 2018

Height-diameter input data and R-code to fit and assess height-diameter models, from 'Field methods for sampling tree height for tropical forest biomass estimation' in Methods in Ecology and Evolution

Martin J. P. Sullivan; Simon L. Lewis; Wannes Hubau; Lan Qie; Timothy R. Baker; Lindsay Banin; Jérôme Chave; Aida Cuni Sanchez; Ted R. Feldpausch; Gabriela Lopez-Gonzalez; E.J.M.M. Arets; Peter S. Ashton; Jean-François Bastin; Nicholas J. Berry; Jan Bogaert; Rene G. A. Boot; Francis Q. Brearley; Roel J. W. Brienen; David F. R. P. Burslem; Charles De Cannière; Markéta Chudomelová; Martin Dančák; Corneille Ewango; Radim Hédl; Jon Lloyd; Jean-Remy Makana; Yadvinder Malhi; Beatriz Schwantes Marimon; Ben Hur Marimon Junior; Faizah Metali

1. Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height. 2. Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally-derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement. 3. Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally-derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with estimates using measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches. 4. Our results indicate that even remarkably limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.


Nature Communications | 2018

Author Correction: Long-term carbon sink in Borneo’s forests halted by drought and vulnerable to edge effects

Lan Qie; Simon L. Lewis; Martin J. P. Sullivan; Gabriela Lopez-Gonzalez; Georgia C. Pickavance; Terry Sunderland; Peter S. Ashton; Wannes Hubau; Kamariah Abu Salim; Shin-ichiro Aiba; Lindsay Banin; Nicholas Berry; Francis Q. Brearley; David F. R. P. Burslem; Martin Dančák; Stuart J. Davies; Gabriella Fredriksson; Keith C. Hamer; Radim Hédl; Lip Khoon Kho; Kanehiro Kitayama; Haruni Krisnawati; Stanislav Lhota; Yadvinder Malhi; Colin R. Maycock; Faizah Metali; Edi Mirmanto; Laszlo Nagy; Reuben Nilus; Robert C. Ong

The original version of this Article contained an error in the third sentence of the abstract and incorrectly read “Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha−1 year−1 (95% CI 0.14–0.72, mean period 1988–2010) above-ground live biomass”, rather than the correct “Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha−1 year−1 (95% CI 0.14–0.72, mean period 1988–2010) in above-ground live biomass carbon”. This has now been corrected in both the PDF and HTML versions of the Article.


international geoscience and remote sensing symposium | 2016

Aboveground biomass estimation in tropical forests at single tree level with ALS data

Michele Dalponte; Tommaso Jucker; David F. R. P. Burslem; Simon L. Lewis; Reuben Nilus; Oliver L. Phillips; Lan Qie; David A. Coomes

In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data.


Global Change Biology | 2016

An integrated pan-tropical biomass map using multiple reference datasets

Valerio Avitabile; Martin Herold; Gerard B. M. Heuvelink; Simon L. Lewis; Oliver L. Phillips; Gregory P. Asner; John Armston; Peter S. Ashton; Lindsay Banin; Nicolas Bayol; Nicholas J. Berry; Pascal Boeckx; Bernardus de Jong; Ben DeVries; Cécile A. J. Girardin; Elizabeth Kearsley; Jeremy A. Lindsell; Gabriela Lopez-Gonzalez; Richard Lucas; Yadvinder Malhi; Alexandra Morel; Edward T. A. Mitchard; Laszlo Nagy; Lan Qie; Marcela J. Quinones; Casey M. Ryan; Slik J. W. Ferry; Terry Sunderland; Gaia Vaglio Laurin; Roberto Gatti


Remote Sensing of Environment | 2017

Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data

David A. Coomes; Michele Dalponte; Tommaso Jucker; Gregory P. Asner; Lindsay Banin; David F. R. P. Burslem; Simon L. Lewis; Reuben Nilus; Oliver L. Phillips; Mui-How Phua; Lan Qie


Biogeosciences | 2018

Estimating aboveground carbon density and its uncertainty in Borneo’s structurally complex tropical forests using airborne laser scanning

Tommaso Jucker; Gregory P. Asner; Michele Dalponte; Philip G. Brodrick; Christopher D. Philipson; Nicholas R. Vaughn; Yit Arn Teh; Craig Brelsford; David F. R. P. Burslem; Nicolas J. Deere; Robert M. Ewers; Jakub Kvasnica; Simon L. Lewis; Yadvinder Malhi; Sol Milne; Reuben Nilus; Marion Pfeifer; Oliver L. Phillips; Lan Qie; Nathan Renneboog; Glen Reynolds; Terhi Riutta; Martin Svátek; Edgar C. Turner; David A. Coomes

Collaboration


Dive into the Lan Qie's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gregory P. Asner

Carnegie Institution for Science

View shared research outputs
Top Co-Authors

Avatar

Francis Q. Brearley

Manchester Metropolitan University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge