1
|
Bai Y, Liu M, Zhou J, Guo Q, Wu G, Li S. Diverse responses of surface biogeophysical parameters to accelerated development and senescence of vegetation on the Mongolian Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 943:173727. [PMID: 38839016 DOI: 10.1016/j.scitotenv.2024.173727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/06/2024] [Accepted: 06/01/2024] [Indexed: 06/07/2024]
Abstract
Vegetation dynamics is essential for characterizing surface biogeophysical parameters. Speeds of vegetation development and senescence are well documented, however, the effects of vegetation growth rates on surface parameters during different growth stages remains unclear. By using such methods as trend analyses and correlation analyses, this study examines the variations and interactive relationships of leaf area index (LAI) and surface parameters including Albedo, evapotranspiration (ET), and land surface temperature (LST), derived from Moderate Resolution Imaging Spectroradiometer (MODIS), during the intra-growing season (April-October, GS) on the Mongolian Plateau (MP). Generally, LAI exhibited a significant upward trend across GS months. Significant changes in VLAI (the difference in LAI between 2 consecutive months) in April-May and September-October indicated that the vegetation change rates were accelerated in the early GS (April-June) and late GS (September-October). The effect of vegetation activity on surface parameters varies over time and space. The effects of VLAI on the speed of surface parameters were inconsistent during the intra-GS. As a result of the significant changes in LAI, VET (the difference in ET between 2 consecutive months) displayed a significant upward trend during the early GS but a significant downward trend during the late GS. With acceleration of vegetation activity, the effects of VET and VAlbedo (the difference in Albedo between 2 consecutive months) on LST could offset each other at different stages of the GS. In addition, the effect of VLAI on the speed of surface parameters varied significantly by vegetation types. Our findings imply that clarifying the impact of vegetation activity on surface parameters at different growth stages can advance our understanding of vegetation responses and feedbacks to climate change.
Collapse
Affiliation(s)
- Yu Bai
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100190, China
| | - Menghang Liu
- University of Chinese Academy of Sciences, Beijing 100190, China; Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Junxiong Zhou
- Department of Bioproducts and Biosystems Engineering, University of Minnesota Twin Cities, St Paul 55108, USA
| | - Qun Guo
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Genan Wu
- Institute of Spacecraft Application System Engineering, China Academy of Space Technology, Beijing 100094, China
| | - Shenggong Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.
| |
Collapse
|
2
|
Liu X, Feng Y, Hu T, Luo Y, Zhao X, Wu J, Maeda EE, Ju W, Liu L, Guo Q, Su Y. Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests. SCIENCE ADVANCES 2024; 10:eadl1947. [PMID: 38748796 PMCID: PMC11095460 DOI: 10.1126/sciadv.adl1947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/12/2024] [Indexed: 05/19/2024]
Abstract
Forest canopy structural complexity (CSC) plays a crucial role in shaping forest ecosystem productivity and stability, but the precise nature of their relationships remains controversial. Here, we mapped the global distribution of forest CSC and revealed the factors influencing its distribution using worldwide light detection and ranging data. We find that forest CSC predominantly demonstrates significant positive relationships with forest ecosystem productivity and stability globally, although substantial variations exist among forest ecoregions. The effects of forest CSC on productivity and stability are the balanced results of biodiversity and resource availability, providing valuable insights for comprehending forest ecosystem functions. Managed forests are found to have lower CSC but more potent enhancing effects of forest CSC on ecosystem productivity and stability than intact forests, highlighting the urgent need to integrate forest CSC into the development of forest management plans for effective climate change mitigation.
Collapse
Affiliation(s)
- Xiaoqiang Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuhao Feng
- Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, China
| | - Tianyu Hu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yue Luo
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoxia Zhao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Wu
- School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Eduardo E. Maeda
- Department of Geosciences and Geography, University of Helsinki, Helsinki FI-00014, Finland
- Finnish Meteorological Institute, FMI, Helsinki, Finland
| | - Weiming Ju
- Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qinghua Guo
- Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, China
- Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Yanjun Su
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
3
|
Jia J, Wang L, Yao Y, Ye Z, Zhai Y, Fang J, Jing Z, Li R, Yao M. Effects of the fundamental axes of variation in structural diversity on the forest canopy temperature in an urban area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166201. [PMID: 37567290 DOI: 10.1016/j.scitotenv.2023.166201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/01/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
The spatial distribution and heterogeneity of forest canopy elements reveal the fundamental dimensions of plant structure variations. Forests characterized by greater structural complexity and diversity intercept solar radiation more effectively, directly influencing the thermal environment and energy balance of the canopy. However, the axes of variation in the distribution and heterogeneity of the canopy remain largely unknown, which limits our understanding of how structural diversity responds to canopy temperature variability. Here, we derived a set of structural diversity metrics from a dataset of canopy structure measurements obtained using unmanned aerial vehicle-light detection and ranging across major forest communities in an urban area in 2021 and 2022. We also explored the key axes of structural diversity variability and tested their predictive power for canopy temperature. The results showed that: (1) most of the variability within structural diversity (83.6 % and 81.8 %) was captured by the three key axes in 2021 and 2022. The first axis was primarily driven by structural heterogeneity, representing the heterogeneity of vegetation distribution within the canopy. The second axis was primarily influenced by the interaction between height and cover/openness, indicating the vertical structure and horizontal distribution pattern of the canopy. The third axis represented the horizontal coverage and density of the canopy. (2) In both 2021 and 2022, the second axis was identified as the most influential predictor of canopy temperature, as evidenced by R2 values of 0.46 and 0.28, respectively. The model incorporating all three axes of structural diversity achieved the highest accuracy in predicting the canopy temperature for 2021 (R2 = 0.68, AIC = 81.35, ΔAIC = 0, and RMSE = 0.89). Prior research on canopy temperature prediction has overlooked the true potential of principal component axes derived from structural diversity. The findings present a novel approach for selecting structural diversity indicators for future investigation.
Collapse
Affiliation(s)
- Jia Jia
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| | - Lei Wang
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China.
| | - Yunlong Yao
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China.
| | - Zhiwei Ye
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706, USA
| | - Yalin Zhai
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| | - Jiyuan Fang
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| | - Zhongwei Jing
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| | - Ruonan Li
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| | - Mingchen Yao
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China; Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150040, China
| |
Collapse
|
4
|
Cooper WJ, McShea WJ, Songer M, Huang Q, Luther DA. Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems. Proc Biol Sci 2023; 290:20230742. [PMID: 37339746 PMCID: PMC10281808 DOI: 10.1098/rspb.2023.0742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 05/30/2023] [Indexed: 06/22/2023] Open
Abstract
Classic ecological theory has proven that temperature, precipitation and productivity organize ecosystems at broad scales and are generalized drivers of biodiversity within different biomes. At local scales, the strength of these predictors is not consistent across different biomes. To better translate these theories to localized scales, it is essential to determine the links between drivers of biodiversity. Here we harmonize existing ecological theories to increase the predictive power for species richness and functional diversity. We test the relative importance of three-dimensional habitat structure as a link between local and broad-scale patterns of avian richness and functional diversity. Our results indicate that habitat structure is more important than precipitation, temperature and elevation gradients for predicting avian species richness and functional diversity across different forest ecosystems in North America. We conclude that forest structure, influenced by climatic drivers, is essential for predicting the response of biodiversity with future shifts in climatic regimes.
Collapse
Affiliation(s)
- W. Justin Cooper
- Biology Department, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA
| | - William J. McShea
- Smithsonian Conservation Biology Institute, 1500 Remount Road, Front Royal, VA 22630, USA
| | - Melissa Songer
- Smithsonian Conservation Biology Institute, 1500 Remount Road, Front Royal, VA 22630, USA
| | - Qiongyu Huang
- Smithsonian Conservation Biology Institute, 1500 Remount Road, Front Royal, VA 22630, USA
| | - David A. Luther
- Biology Department, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA
| |
Collapse
|
5
|
Zhang H, Mächler E, Morsdorf F, Niklaus PA, Schaepman ME, Altermatt F. A spatial fingerprint of land-water linkage of biodiversity uncovered by remote sensing and environmental DNA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161365. [PMID: 36634788 DOI: 10.1016/j.scitotenv.2022.161365] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/06/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Aquatic and terrestrial ecosystems are tightly connected via spatial flows of organisms and resources. Such land-water linkages integrate biodiversity across ecosystems and suggest a spatial association of aquatic and terrestrial biodiversity. However, knowledge about the extent of this spatial association is limited. By combining satellite remote sensing (RS) and environmental DNA (eDNA) extraction from river water across a 740-km2 mountainous catchment, we identify a characteristic spatial land-water fingerprint. Specifically, we find a spatial association of riverine eDNA diversity with RS spectral diversity of terrestrial ecosystems upstream, peaking at a 400 m distance yet still detectable up to a 2.0 km radius. Our findings show that biodiversity patterns in rivers can be linked to the functional diversity of surrounding terrestrial ecosystems and provide a dominant scale at which these linkages are strongest. Such spatially explicit information is necessary for a functional understanding of land-water linkages.
Collapse
Affiliation(s)
- Heng Zhang
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland.
| | - Elvira Mächler
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland
| | - Felix Morsdorf
- Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Michael E Schaepman
- Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Florian Altermatt
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland.
| |
Collapse
|
6
|
Atkins JW, Costanza J, Dahlin KM, Dannenberg MP, Elmore AJ, Fitzpatrick MC, Hakkenberg CR, Hardiman BS, Kamoske A, LaRue EA, Silva CA, Stovall AEL, Tielens EK. Scale dependency of lidar‐derived forest structural diversity. Methods Ecol Evol 2023. [DOI: 10.1111/2041-210x.14040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Jeff W. Atkins
- Southern Research Station USDA Forest Service New Ellenton South Carolina USA
| | - Jennifer Costanza
- Southern Research Station USDA Forest Service Research Triangle Park North Carolina USA
| | - Kyla M. Dahlin
- Department of Geography, Environment & Spatial Sciences Michigan State University East Lansing Michigan USA
| | - Matthew P. Dannenberg
- Department of Geographical and Sustainability Sciences University of Iowa Iowa City Iowa USA
| | - Andrew J. Elmore
- National Socio‐Environmental Synthesis Center Annapolis Maryland USA
- Appalachian Laboratory University of Maryland Center for Environmental Science Frostburg Maryland USA
| | - Matthew C. Fitzpatrick
- Appalachian Laboratory University of Maryland Center for Environmental Science Frostburg Maryland USA
| | | | - Brady S. Hardiman
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
- Department of Civil and Environmental Engineering Purdue University West Lafayette Indiana USA
| | - Aaron Kamoske
- Ecosystem Management Coordination USDA Forest Service Saint Paul Minnesota USA
| | - Elizabeth A. LaRue
- Department of Biological Sciences The University of Texas at El Paso El Paso Texas USA
| | - Carlos Alberto Silva
- Forest Biometrics and Remote Sensing Lab, School of Forest, Fisheries, and Geomatics University of Florida Gainesville Florida USA
| | - Atticus E. L. Stovall
- Department of Geographical Sciences University of Maryland College Park Maryland USA
- NASA Goddard Space Flight Center Greenbelt Maryland USA
| | - Elske K. Tielens
- Corix Plains Institute University of Oklahoma Norman Oklahoma USA
| |
Collapse
|
7
|
Ma Q, Su Y, Hu T, Jiang L, Mi X, Lin L, Cao M, Wang X, Lin F, Wang B, Sun Z, Wu J, Ma K, Guo Q. The coordinated impact of forest internal structural complexity and tree species diversity on forest productivity across forest biomes. FUNDAMENTAL RESEARCH 2022. [DOI: 10.1016/j.fmre.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
|
8
|
LaRue EA, Fahey R, Fuson TL, Foster JR, Matthes JH, Krause K, Hardiman BS. Evaluating the sensitivity of forest structural diversity characterization to
LiDAR
point density. Ecosphere 2022. [DOI: 10.1002/ecs2.4209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- Elizabeth A. LaRue
- Department of Biological Sciences The University of Texas at El Paso El Paso Texas USA
| | - Robert Fahey
- Department of Natural Resources and the Environment and Center for Environmental Sciences and Engineering University of Connecticut Storrs Connecticut USA
| | - Tabatha L. Fuson
- Environmental Science and Engineering The University of Texas at El Paso El Paso Texas USA
| | - Jane R. Foster
- Rubenstein School of Environment and Natural Resources The University of Vermont Burlington Vermont USA
| | - Jaclyn Hatala Matthes
- Department of Biological Sciences Wellesley College Wellesley Massachusetts USA
- Harvard Forest Harvard University Petersham Massachusetts USA
| | - Keith Krause
- Battelle, National Ecological Observatory Network Boulder Colorado USA
| | - Brady S. Hardiman
- Forestry and Natural Resources Purdue University West Lafayette Indiana USA
- Environmental and Ecological Engineering Purdue University West Lafayette Indiana USA
| |
Collapse
|
9
|
Schlund M, Wenzel A, Camarretta N, Stiegler C, Erasmi S. Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Michael Schlund
- Department of Natural Resources, Faculty of Geo‐information Science and Earth Observation (ITC) University of Twente Enschede The Netherlands
| | - Arne Wenzel
- Functional Agrobiodiversity University of Göttingen Göttingen Göttingen Germany
| | | | | | - Stefan Erasmi
- Thünen‐Institute of Farm Economics Braunschweig Germany
| |
Collapse
|
10
|
Remarkable Resilience of Forest Structure and Biodiversity Following Fire in the Peri-Urban Bushland of Sydney, Australia. CLIMATE 2022. [DOI: 10.3390/cli10060086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In rapidly urbanizing areas, natural vegetation becomes fragmented, making conservation planning challenging, particularly as climate change accelerates fire risk. We studied urban forest fragments in two threatened eucalypt-dominated (scribbly gum woodland, SGW, and ironbark forest, IF) communities across ~2000 ha near Sydney, Australia, to evaluate effects of fire frequency (0–4 in last 25 years) and time since fire (0.5 to >25 years) on canopy structure, habitat quality and biodiversity (e.g., species richness). Airborne lidar was used to assess canopy height and density, and ground-based surveys of 148 (400 m2) plots measured leaf area index (LAI), plant species composition and habitat metrics such as litter cover and hollow-bearing trees. LAI, canopy density, litter, and microbiotic soil crust increased with time since fire in both communities, while tree and mistletoe cover increased in IF. Unexpectedly, plant species richness increased with fire frequency, owing to increased shrub richness which offset decreased tree richness in both communities. These findings indicate biodiversity and canopy structure are generally resilient to a range of times since fire and fire frequencies across this study area. Nevertheless, reduced arboreal habitat quality and subtle shifts in community composition of resprouters and obligate seeders signal early concern for a scenario of increasing fire frequency under climate change. Ongoing assessment of fire responses is needed to ensure that biodiversity, canopy structure and ecosystem function are maintained in the remaining fragments of urban forests under future climate change which will likely drive hotter and more frequent fires.
Collapse
|
11
|
A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits. REMOTE SENSING 2022. [DOI: 10.3390/rs14040933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Current LiDAR-based methods for detecting forest change use a host of statistically selected variables which typically lack a biological link with the characteristics of the ecosystem. Consensus of the literature indicates that many authors use LiDAR to derive ecosystem morphological traits (EMTs)—namely, vegetation height, vegetation cover, and vertical structural complexity—to identify small-scale changes in forest ecosystems. Here, we provide a conceptual, biological model for predicting forest aboveground biomass (AGB) change based on EMTs. We show that through use of a multitemporal dataset it is possible to not only identify losses caused by logging in the period between data collection but also identify regions of regrowth from prior logging using EMTs. This sensitivity to the change in forest dynamics was the criterion by which LiDAR metrics were selected as proxies for each EMT. For vegetation height, results showed that the top-of-canopy height derived from a canopy height model was more sensitive to logging than the average or high percentile of raw LiDAR height distributions. For vegetation cover metrics, lower height thresholds for fractional cover calculations were more sensitive to selective logging and the regeneration of understory. For describing the structural complexity in the vertical profile, the Gini coefficient was found to be superior to foliage height diversity for detecting the dynamics occurring over the years after logging. The subsequent conceptual model for AGB estimation obtained a level of accuracy which was comparable to a model that was statistically optimised for that same area. We argue that a widespread adoption of an EMT-based conceptual approach would improve the transferability and comparability of LiDAR models for AGB worldwide.
Collapse
|
12
|
Reed SP, Royo AA, Fotis AT, Knight KS, Flower CE, Curtis PS. The long‐term impacts of deer herbivory in determining temperate forest stand and canopy structural complexity. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.14095] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Samuel P. Reed
- Department of Forest Resources University of Minnesota St. Paul MN USA
| | - Alejandro A. Royo
- Forestry Sciences Lab USDA Forest ServiceNorthern Research Station Irvine PA USA
| | | | | | | | - Peter S. Curtis
- Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USA
| |
Collapse
|
13
|
Atkins JW, Walter JA, Stovall AEL, Fahey RT, Gough CM. Power law scaling relationships link canopy structural complexity and height across forest types. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jeff W. Atkins
- USDA Forest Service Southern Research Station New Ellenton SC USA
- Department of Biology Virginia Commonwealth University Richmond VA USA
| | - Jonathan A. Walter
- Department of Environmental Sciences University of Virginia Charlottesville VA USA
- Environmental Research Alliance Charlottesville VA USA
| | - Atticus E. L. Stovall
- Biospheric Sciences Laboratory NASA Goddard Space Flight Center Greenbelt MD USA
- Department of Geographical Sciences University of Maryland College Park MD USA
| | - Robert T. Fahey
- Department of Natural Resources and the Environment & Center for Environmental Sciences and Engineering University of Connecticut Storrs CT USA
| | | |
Collapse
|
14
|
Gough CM, Bohrer G, Hardiman BS, Nave LE, Vogel CS, Atkins JW, Bond-Lamberty B, Fahey RT, Fotis AT, Grigri MS, Haber LT, Ju Y, Kleinke CL, Mathes KC, Nadelhoffer KJ, Stuart-Haëntjens E, Curtis PS. Disturbance-accelerated succession increases the production of a temperate forest. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e02417. [PMID: 34278647 DOI: 10.1002/eap.2417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/19/2021] [Accepted: 03/22/2021] [Indexed: 06/13/2023]
Abstract
Many secondary deciduous forests of eastern North America are approaching a transition in which mature early-successional trees are declining, resulting in an uncertain future for this century-long carbon (C) sink. We initiated the Forest Accelerated Succession Experiment (FASET) at the University of Michigan Biological Station to examine the patterns and mechanisms underlying forest C cycling following the stem girdling-induced mortality of >6,700 early-successional Populus spp. (aspen) and Betula papyrifera (paper birch). Meteorological flux tower-based C cycling observations from the 33-ha treatment forest have been paired with those from a nearby unmanipulated forest since 2008. Following over a decade of observations, we revisit our core hypothesis: that net ecosystem production (NEP) would increase following the transition to mid-late-successional species dominance due to increased canopy structural complexity. Supporting our hypothesis, NEP was stable, briefly declined, and then increased relative to the control in the decade following disturbance; however, increasing NEP was not associated with rising structural complexity but rather with a rapid 1-yr recovery of total leaf area index as mid-late-successional Acer, Quercus, and Pinus assumed canopy dominance. The transition to mid-late-successional species dominance improved carbon-use efficiency (CUE = NEP/gross primary production) as ecosystem respiration declined. Similar soil respiration rates in control and treatment forests, along with species differences in leaf physiology and the rising relative growth rates of mid-late-successional species in the treatment forest, suggest changes in aboveground plant respiration and growth were primarily responsible for increases in NEP. We conclude that deciduous forests transitioning from early to middle succession are capable of sustained or increased NEP, even when experiencing extensive tree mortality. This adds to mounting evidence that aging deciduous forests in the region will function as C sinks for decades to come.
Collapse
Affiliation(s)
- Christopher M Gough
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Gil Bohrer
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, 2070 Neil Avenue, Columbus, Ohio, 43210, USA
| | - Brady S Hardiman
- Forestry and Natural Resources and Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana, 47907, USA
| | - Lucas E Nave
- Biological Station and Department of Ecology and Evolutionary Biology, University of Michigan, Pellston, Michigan, 49769, USA
| | - Christoph S Vogel
- Biological Station and Department of Ecology and Evolutionary Biology, University of Michigan, Pellston, Michigan, 49769, USA
| | - Jeff W Atkins
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Ben Bond-Lamberty
- Joint Global Change Research Institute, Pacific Northwest National Laboratory, 5825 University Research Court, College Park, Maryland, 20740, USA
| | - Robert T Fahey
- Department of Natural Resources and the Environment, Center for Environmental Sciences and Engineering, University of Connecticut, 1376 Storrs Road, Storrs, Connecticut, 06269, USA
| | - Alexander T Fotis
- Department of Evolution, Ecology, and Organismal Biology, Ohio State University, 318 W 12th Avenue, Columbus, Ohio, 43210, USA
| | - Maxim S Grigri
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Lisa T Haber
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Yang Ju
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, 2070 Neil Avenue, Columbus, Ohio, 43210, USA
| | - Callie L Kleinke
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, 2070 Neil Avenue, Columbus, Ohio, 43210, USA
| | - Kayla C Mathes
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Knute J Nadelhoffer
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Ellen Stuart-Haëntjens
- Department of Biology, Virginia Commonwealth University, Box 842012, 1000 West Cary Street, Richmond, Virginia, 23284, USA
| | - Peter S Curtis
- Department of Evolution, Ecology, and Organismal Biology, Ohio State University, 318 W 12th Avenue, Columbus, Ohio, 43210, USA
| |
Collapse
|
15
|
Walter JA, Stovall AEL, Atkins JW. Vegetation structural complexity and biodiversity in the Great Smoky Mountains. Ecosphere 2021. [DOI: 10.1002/ecs2.3390] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Jonathan A. Walter
- Department of Environmental Sciences University of Virginia Charlottesville Virginia22904USA
- Ronin Institute for Independent Scholarship Montclair New Jersey07043USA
| | | | - Jeff W. Atkins
- Department of Biology Virginia Commonwealth University Richmond Virginia23284USA
| |
Collapse
|
16
|
Plekhanova E, Niklaus PA, Gastellu-Etchegorry JP, Schaepman-Strub G. How does leaf functional diversity affect the light environment in forest canopies? An in-silico biodiversity experiment. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2020.109394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
17
|
Atkins JW, Bond‐Lamberty B, Fahey RT, Haber LT, Stuart‐Haëntjens E, Hardiman BS, LaRue E, McNeil BE, Orwig DA, Stovall AEL, Tallant JM, Walter JA, Gough CM. Application of multidimensional structural characterization to detect and describe moderate forest disturbance. Ecosphere 2020. [DOI: 10.1002/ecs2.3156] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Jeff W. Atkins
- Department of Biology Virginia Commonwealth University Richmond Virginia 23284 USA
| | - Ben Bond‐Lamberty
- Joint Global Change Research Institute Pacific Northwest National Lab College Park Maryland USA
| | - Robert T. Fahey
- Department of Natural Resources and the Environment Center for Environmental Sciences and Engineering University of Connecticut Storrs Connecticut USA
| | - Lisa T. Haber
- Department of Biology Virginia Commonwealth University Richmond Virginia 23284 USA
| | - Ellen Stuart‐Haëntjens
- Department of Biology Virginia Commonwealth University Richmond Virginia 23284 USA
- United States Geological Survey Sacramento California 95819 USA
| | - Brady S. Hardiman
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana 47907 USA
- Department of Civil and Environmental Engineering Purdue University West Lafayette Indiana 47907 USA
| | - Elizabeth LaRue
- United States Geological Survey Sacramento California 95819 USA
| | - Brenden E. McNeil
- Department of Geology and Geography West Virginia University Morgantown West Virginia USA
| | - David A. Orwig
- Harvard University Harvard Forest Petersham Massachusetts USA
| | | | | | - Jonathan A. Walter
- Department of Environmental Sciences University of Virginia Charlottesville Virginia USA
| | - Christopher M. Gough
- Department of Biology Virginia Commonwealth University Richmond Virginia 23284 USA
| |
Collapse
|
18
|
Valbuena R, O'Connor B, Zellweger F, Simonson W, Vihervaara P, Maltamo M, Silva CA, Almeida DRA, Danks F, Morsdorf F, Chirici G, Lucas R, Coomes DA, Coops NC. Standardizing Ecosystem Morphological Traits from 3D Information Sources. Trends Ecol Evol 2020; 35:656-667. [PMID: 32423635 DOI: 10.1016/j.tree.2020.03.006] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 02/28/2020] [Accepted: 03/09/2020] [Indexed: 12/31/2022]
Abstract
3D-imaging technologies provide measurements of terrestrial and aquatic ecosystems' structure, key for biodiversity studies. However, the practical use of these observations globally faces practical challenges. First, available 3D data are geographically biased, with significant gaps in the tropics. Second, no data source provides, by itself, global coverage at a suitable temporal recurrence. Thus, global monitoring initiatives, such as assessment of essential biodiversity variables (EBVs), will necessarily have to involve the combination of disparate data sets. We propose a standardized framework of ecosystem morphological traits - height, cover, and structural complexity - that could enable monitoring of globally consistent EBVs at regional scales, by flexibly integrating different information sources - satellites, aircrafts, drones, or ground data - allowing global biodiversity targets relating to ecosystem structure to be monitored and regularly reported.
Collapse
Affiliation(s)
- R Valbuena
- United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntington Road, CB3 0DL Cambridge, UK; Department of Plant Sciences in the Conservation Research Institute, University of Cambridge, Downing Street, CB2 3EA Cambridge, UK; School of Natural Sciences, Bangor University, Thoday Building, Bangor LL57 2UW, UK.
| | - B O'Connor
- United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntington Road, CB3 0DL Cambridge, UK
| | - F Zellweger
- Department of Plant Sciences in the Conservation Research Institute, University of Cambridge, Downing Street, CB2 3EA Cambridge, UK; Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
| | - W Simonson
- United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntington Road, CB3 0DL Cambridge, UK
| | - P Vihervaara
- Biodiversity Centre, Finnish Environment Institute (SYKE), Latokartanonkaari 11, 00790 Helsinki, Finland
| | - M Maltamo
- Faculty of Forest Sciences, University of Eastern Finland, PO Box 111, Joensuu, Finland
| | - C A Silva
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA; School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA
| | - D R A Almeida
- Department of Forest Sciences, 'Luiz de Queiroz' College of Agriculture (USP/ESALQ), University of São Paulo, Piracicaba, SP, Brazil
| | - F Danks
- United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntington Road, CB3 0DL Cambridge, UK
| | - F Morsdorf
- Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - G Chirici
- Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università degli Studi di Firenze, via San Bonaventura 13, 50145 Florence, Italy
| | - R Lucas
- Earth Observation and Ecosystem Dynamics Research Group, Aberystwyth University, Aberystwyth SY23 3DB, UK
| | - D A Coomes
- Department of Plant Sciences in the Conservation Research Institute, University of Cambridge, Downing Street, CB2 3EA Cambridge, UK
| | - N C Coops
- Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver V6T 1Z4, Canada
| |
Collapse
|
19
|
Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity. REMOTE SENSING 2020. [DOI: 10.3390/rs12091407] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Structural diversity is a key feature of forest ecosystems that influences ecosystem functions from local to macroscales. The ability to measure structural diversity in forests with varying ecological composition and management history can improve the understanding of linkages between forest structure and ecosystem functioning. Terrestrial LiDAR has often been used to provide a detailed characterization of structural diversity at local scales, but it is largely unknown whether these same structural features are detectable using aerial LiDAR data that are available across larger spatial scales. We used univariate and multivariate analyses to quantify cross-compatibility of structural diversity metrics from terrestrial versus aerial LiDAR in seven National Ecological Observatory Network sites across the eastern USA. We found strong univariate agreement between terrestrial and aerial LiDAR metrics of canopy height, openness, internal heterogeneity, and leaf area, but found marginal agreement between metrics that described heterogeneity of the outermost layer of the canopy. Terrestrial and aerial LiDAR both demonstrated the ability to distinguish forest sites from structural diversity metrics in multivariate space, but terrestrial LiDAR was able to resolve finer-scale detail within sites. Our findings indicated that aerial LiDAR could be of use in quantifying broad-scale variation in structural diversity across macroscales.
Collapse
|
20
|
Fotis AT, Patel S, Chavez AS. Habitat-based isolating barriers are not strong in the speciation of ecologically divergent squirrels (Tamiasciurus douglasii and T. hudsonicus). Behav Ecol Sociobiol 2020. [DOI: 10.1007/s00265-020-2814-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|