1
|
Burton-Roberts R, Cordes LS, Slotow R, Vanak AT, Thaker M, Govender N, Shannon G. Seasonal range fidelity of a megaherbivore in response to environmental change. Sci Rep 2022; 12:22008. [PMID: 36550171 PMCID: PMC9780231 DOI: 10.1038/s41598-022-25334-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
For large herbivores living in highly dynamic environments, maintaining range fidelity has the potential to facilitate the exploitation of predictable resources while minimising energy expenditure. We evaluate this expectation by examining how the seasonal range fidelity of African elephants (Loxodonta africana) in the Kruger National Park, South Africa is affected by spatiotemporal variation in environmental conditions (vegetation quality, temperature, rainfall, and fire). Eight-years of GPS collar data were used to analyse the similarity in seasonal utilisation distributions for thirteen family groups. Elephants exhibited remarkable consistency in their seasonal range fidelity across the study with rainfall emerging as a key driver of space-use. Within years, high range fidelity from summer to autumn and from autumn to winter was driven by increased rainfall and the retention of high-quality vegetation. Across years, sequential autumn seasons demonstrated the lowest levels of range fidelity due to inter-annual variability in the wet to dry season transition, resulting in unpredictable resource availability. Understanding seasonal space use is important for determining the effects of future variability in environmental conditions on elephant populations, particularly when it comes to management interventions. Indeed, over the coming decades climate change is predicted to drive greater variability in rainfall and elevated temperatures in African savanna ecosystems. The impacts of climate change also present particular challenges for elephants living in fragmented or human-transformed habitats where the opportunity for seasonal range shifts are greatly constrained.
Collapse
Affiliation(s)
- Rhea Burton-Roberts
- grid.7362.00000000118820937School of Natural Sciences, Bangor University, Bangor, Gwynedd UK
| | - Line S. Cordes
- grid.7362.00000000118820937School of Ocean Sciences, Bangor University, Bangor, Gwynedd UK
| | - Rob Slotow
- grid.16463.360000 0001 0723 4123School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Abi Tamim Vanak
- grid.16463.360000 0001 0723 4123School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa ,grid.464760.70000 0000 8547 8046Centre for Biodiversity and Conservation, Ashoka Trust for Research in Ecology and the Environment, Bangalore, India
| | - Maria Thaker
- grid.34980.360000 0001 0482 5067Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India
| | - Navashni Govender
- grid.463628.d0000 0000 9533 5073Conservation Management, Kruger National Park, South African National Parks, Private Bag X402, Skukuza, 1350 South Africa ,grid.412139.c0000 0001 2191 3608School of Natural Resource Management, Nelson Mandela University, Private Bag X6531, George, 6530 South Africa
| | - Graeme Shannon
- grid.7362.00000000118820937School of Natural Sciences, Bangor University, Bangor, Gwynedd UK
| |
Collapse
|
2
|
Wilson AE, Michaud SA, Jackson AM, Stenhouse G, McClelland CJR, Coops NC, Janz DM. Protein biomarkers in serum as a conservation tool to assess reproduction: a case study on brown bears ( Ursus arctos). CONSERVATION PHYSIOLOGY 2021; 9:coab091. [PMID: 34888057 PMCID: PMC8651255 DOI: 10.1093/conphys/coab091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/26/2021] [Accepted: 11/01/2021] [Indexed: 06/13/2023]
Abstract
Monitoring the reproductive characteristics of a species can complement existing conservation strategies by understanding the mechanisms underlying demography. However, methodology to determine important aspects of female reproductive biology is often absent in monitoring programs for large mammals. Protein biomarkers may be a useful tool to detect physiological changes that are indicative of reproductive state. This study aimed to identify protein biomarkers of reproductive status in serum collected from free-ranging female brown bears (Ursus arctos) in Alberta, Canada, from 2001 to 2018. We hypothesized that the expression of proteins related to reproduction in addition to energetics and stress can be used to answer specific management-focused questions: (i) identify when a female is pregnant, (ii) detect if a female is lactating, (iii) determine age of sexual maturity (i.e. primiparity) and (iv) assess female fertility (i.e. reproduction rate). Furthermore, we investigated if silver spoon effects (favourable early life conditions provide fitness benefits through adulthood) could be determined using protein expression. A target panel of 19 proteins with established relationships to physiological function was measured by peptide-based analysis using liquid chromatography and multiple reaction monitoring mass spectrometry and their differential expression was evaluated using a Wilcoxon signed-rank test. We found biomarkers of pregnancy (apolipoprotein B-100 and afamin), lactation (apolipoprotein B-100 and alpha-2-macroglobulin) and sexual maturity (corticosteroid-binding globulin), but there were no statistically significant relationships with protein expression and fertility. The expression of proteins related to reproduction (afamin) and energetics (vitamin-D binding protein) was associated with the nutritional quality of the individual's present habitat rather than their early life habitat. This study highlights potential biomarkers of reproductive status and provides additional methods for monitoring physiological function in wildlife to inform conservation.
Collapse
Affiliation(s)
- Abbey E Wilson
- Department of Veterinary Biomedical Sciences, University of Saskatchewan, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Sarah A Michaud
- The University of Victoria Genome BC Proteomics Centre, 4464 Markham St #3101, Victoria, British Columbia V8Z 7X8, Canada
| | - Angela M Jackson
- The University of Victoria Genome BC Proteomics Centre, 4464 Markham St #3101, Victoria, British Columbia V8Z 7X8, Canada
| | - Gordon Stenhouse
- Grizzly Bear Program, fRI Research, 1176 Switzer Drive, Hinton, Alberta T7V 1V3, Canada
| | | | - Nicholas C Coops
- Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada
| | - David M Janz
- Department of Veterinary Biomedical Sciences, University of Saskatchewan, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| |
Collapse
|
3
|
Zubiria Perez A, Bone C, Stenhouse G. Simulating multi-scale movement decision-making and learning in a large carnivore using agent-based modelling. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2021.109568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
4
|
Wilson AE, Wismer D, Stenhouse G, Coops NC, Janz DM. Landscape condition influences energetics, reproduction, and stress biomarkers in grizzly bears. Sci Rep 2021; 11:12124. [PMID: 34108541 PMCID: PMC8190091 DOI: 10.1038/s41598-021-91595-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/21/2021] [Indexed: 02/05/2023] Open
Abstract
Environmental change has been shown to influence mammalian distribution, habitat use, and behavior; however, few studies have investigated the impact on physiological function. This study aimed to determine the influence of landscape condition on the expression of target proteins related to energetics, reproduction, and stress in grizzly bears. We hypothesized that changes in landscape condition explains protein expression. Skin biopsies were collected from free-ranging grizzly bears in Alberta, Canada from 2013-2019 (n = 86 individuals). We used an information theoretic approach to develop 11 a priori candidate generalized linear mixed models to explain protein expression. We compared models using Akaike Information Criteria (AICc) weights and averaged models with ΔAICc < 2 for each protein. Food resources, represented by increased distance to coal mines and decreased crown closure, positively influenced energetic proteins (adiponectin and alpha-1-acid glycoprotein). Proteins related to reproduction (ceruloplasmin and serpin B5) were positively associated with increased wetland and upland food resources in addition to movement, but negatively associated with increased distance to roads. One stress related protein, complement C3, was positively influenced by increased percent conifer. Given the need to detect emerging threats to wildlife, we suggest the assessment of physiological function will lead to improved monitoring of species in rapidly changing landscapes.
Collapse
Affiliation(s)
- Abbey E. Wilson
- grid.25152.310000 0001 2154 235XDepartment of Veterinary Biomedical Sciences, University of Saskatchewan, 52 Campus Drive, Saskatoon, SK S7N 5B4 Canada ,Toxicology Centre, 44 Campus Drive, Saskatoon, SK S7N 5B3 Canada
| | - Dan Wismer
- fRI Research, Grizzly Bear Program, 1176 Switzer Drive, Hinton, AB T7V 1V3 Canada
| | - Gordon Stenhouse
- fRI Research, Grizzly Bear Program, 1176 Switzer Drive, Hinton, AB T7V 1V3 Canada
| | - Nicholas C. Coops
- grid.17091.3e0000 0001 2288 9830Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4 Canada
| | - David M. Janz
- grid.25152.310000 0001 2154 235XDepartment of Veterinary Biomedical Sciences, University of Saskatchewan, 52 Campus Drive, Saskatoon, SK S7N 5B4 Canada ,Toxicology Centre, 44 Campus Drive, Saskatoon, SK S7N 5B3 Canada
| |
Collapse
|
5
|
Sorensen A, Denny C, McKay T, Stenhouse G. Response of grizzly bears (Ursus arctos) to pipelines in Alberta. ENVIRONMENTAL MANAGEMENT 2021; 67:1158-1170. [PMID: 33738538 DOI: 10.1007/s00267-021-01457-y] [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: 12/20/2020] [Accepted: 02/27/2021] [Indexed: 06/12/2023]
Abstract
This research provides the first in-depth analysis of fine-scale grizzly bear habitat selection and movement patterns in response to the linear footprints cleared for below-ground pipelines in Alberta. Using an extensive set of GPS location data from collared grizzly bears, we were able to determine that grizzly bears selected for younger pipelines (mean age since last construction~6.5 years), which are known to have a greater abundance of important bear foods. Bears also selected for wider corridors that were disturbed for construction more than once. During the spring season, sex/age class was an important predictor of grizzly bear use of pipelines, with adult female bears more likely to use these features than other sex/age classes. Examination of movement patterns revealed that pipeline density influenced grizzly bears' movement rates and path straightness, particularly in the spring, when bears moved more slowly and movement paths were more tortuous in areas with higher pipeline densities. These movement patterns are consistent with foraging behavior and further indicate that bears are not exhibiting avoidance behaviors or displacement by pipeline features, and pipelines may be functioning as seasonally important foraging areas for grizzly bears in Alberta.
Collapse
Affiliation(s)
- Anja Sorensen
- Wildlife Research Biologist, Grizzly Bear Program, fRI Research, 1176 Switzer Drive, Hinton, AB, T7V 1V3, Canada.
| | - Catherine Denny
- Grizzly Bear Program, fRI Research, 1176 Switzer Drive, Hinton, AB, T7V 1V3, Canada
| | - Tracy McKay
- Wildlife Biologist, Caribou Program, fRI Research, 1176 Switzer Drive, Hinton, AB, T7V 1V3, Canada
| | - Gordon Stenhouse
- Research Scientist and Program Lead, Grizzly Bear Program, fRI Research, 1176 Switzer Drive, Hinton, AB, T7V 1V3, Canada
| |
Collapse
|
6
|
De Angelis D, Huber D, Reljic S, Ciucci P, Kusak J. Factors affecting the home range of Dinaric-Pindos brown bears. J Mammal 2021. [DOI: 10.1093/jmammal/gyab018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Studying how animals interact with their environment is fundamental to informing conservation and management efforts, especially when examining large, wide-ranging carnivores in human-dominated landscapes. We hypothesized that the home ranges of bears are configured to exploit supplemental food (corn) and avoid people. In 2004–2016, we tracked 10 brown bears from the Dinaric-Pindos population using GPS telemetry, then used Brownian bridge movement models to estimate their home ranges. We related seasonal home range size to circadian period and density of supplemental feeding sites using generalized linear mixed-effect models. We also used ecological-niche factor analysis to study habitat composition within home range core areas in study areas characterized by different levels of human encroachment. We found that home range size was inversely related to density of supplemental feeding sites, and bears had larger home ranges at night (x̅ = 103.3 ± 72.8 km2) than during the day (x̅ = 62.3 ± 16.6 km2). Our results also revealed that bears living in more human-influenced areas concentrated their use far from human settlements and agricultural lands but stayed close to supplemental feeding sites. Our data suggest that bears alter their space-use patterns at the home range level in response to anthropogenic land use and food availability.
Collapse
Affiliation(s)
- Daniele De Angelis
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, Viale dell’Universita` 32, 00185 Rome, Italy
| | - Djuro Huber
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
- Institute of Nature Conservation, Polish Academy of Sciences, Mickiewicza Av. 33, 31120 Kraków, Poland
| | - Slaven Reljic
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Paolo Ciucci
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of Rome, Viale dell’Universita` 32, 00185 Rome, Italy
| | - Josip Kusak
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| |
Collapse
|
7
|
Tomita K, Hiura T. Reforestation provides a foraging habitat for brown bears (Ursus arctos) by increasing cicada Lyristes bihamatus density in the Shiretoko World Heritage site. CAN J ZOOL 2021. [DOI: 10.1139/cjz-2020-0222] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Reforestation, which converts abandoned farmland back into forestland by planting woody species, can provide habitat for wildlife, including the brown bear (Ursus arctos Linnaeus, 1758). In the Shiretoko World Heritage site, northern Japan, where brown bears occur at high density, conifers have been planted since the 1970s to reforest abandoned farmland. In this area, brown bears were first observed digging for cicada Lyristes bihamatus Motschulsky, 1861 = Auritibicen bihamatus (Motschulsky, 1861) nymphs from 2000. Our preliminary observations suggested that the emergence of digging behavior might be associated with reforestation. We examined whether reforestation provided a foraging habitat for brown bears. We found that digging occurred only within the restored conifer forests, but not within the natural forest. The densities of cicada nymphs in the restored forests were higher than in the natural forest. These results indicate that the reforestation of abandoned farmland provides a foraging habitat for brown bears by increasing the availability of cicada nymphs in the Shiretoko World Heritage site.
Collapse
Affiliation(s)
- K. Tomita
- Graduate School of Environmental Science, Hokkaido University, N10 W5 Sapporo, Hokkaido 060-0810, Japan
| | - T. Hiura
- Graduate School of Agriculture and Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan
| |
Collapse
|
8
|
McClelland CJ, Coops NC, Kearney SP, Burton AC, Nielsen SE, Stenhouse GB. Variations in grizzly bear habitat selection in relation to the daily and seasonal availability of annual plant-food resources. ECOL INFORM 2020. [DOI: 10.1016/j.ecoinf.2020.101116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
9
|
St Clair CC, Backs J, Friesen A, Gangadharan A, Gilhooly P, Murray M, Pollock S. Animal learning may contribute to both problems and solutions for wildlife-train collisions. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180050. [PMID: 31352891 PMCID: PMC6710577 DOI: 10.1098/rstb.2018.0050] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Transportation infrastructure can cause an ecological trap if it attracts wildlife for foraging and travel opportunities, while increasing the risk of mortality from collisions. This situation occurs for a vulnerable population of grizzly bears (Ursus arctos) in Banff National Park, Canada, where train strikes have become a leading cause of mortality. We explored this problem with analyses of rail-associated food attractants, habitat use of GPS-collared bears and patterns of past mortality. Bears appeared to be attracted to grain spilled from rail cars, enhanced growth of adjacent vegetation and train-killed ungulates with rail use that increased in spring and autumn, and in areas where trains slowed, topography was rugged, and human density was low. However, areas with higher grain deposits or greater use by bears did not predict sites of past mortality. The onset of reported train strikes occurred amid several other interacting changes in this landscape, including the cessation of lethal bear management, changes in the distribution and abundance of ungulates, increasing human use and new anthropogenic features. We posit that rapid learning by bears is critical to their persistence in this landscape and that this capacity might be enhanced to prevent train strikes in future with simple warning devices, such as the one we invented, that signal approaching trains. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.
Collapse
Affiliation(s)
| | - Jonathan Backs
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| | - Alyssa Friesen
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| | - Aditya Gangadharan
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| | - Patrick Gilhooly
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| | - Maureen Murray
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| | - Sonya Pollock
- Department of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9
| |
Collapse
|
10
|
Coogan SCP, Coops NC, Janz DM, Cattet MRL, Kearney SP, Stenhouse GB, Nielsen SE. Towards grizzly bear population recovery in a modern landscape. J Appl Ecol 2018. [DOI: 10.1111/1365-2664.13259] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Sean C. P. Coogan
- Department of Renewable ResourcesUniversity of Alberta Edmonton AB Canada
| | - Nicholas C. Coops
- Department of Forest Resources ManagementUniversity of British Columbia Vancouver BC Canada
| | - David M. Janz
- Department of Veterinary Biomedical SciencesUniversity of Saskatchewan Saskatoon SK Canada
| | - Marc R. L. Cattet
- RGL Recovery Wildlife Health & Veterinary Services Saskatoon SK Canada
| | - Sean P. Kearney
- Department of Forest Resources ManagementUniversity of British Columbia Vancouver BC Canada
| | | | - Scott E. Nielsen
- Department of Renewable ResourcesUniversity of Alberta Edmonton AB Canada
| |
Collapse
|
11
|
Cattet M, Stenhouse GB, Boulanger J, Janz DM, Kapronczai L, Swenson JE, Zedrosser A. Can concentrations of steroid hormones in brown bear hair reveal age class? CONSERVATION PHYSIOLOGY 2018; 6:coy001. [PMID: 29399362 PMCID: PMC5788069 DOI: 10.1093/conphys/coy001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 12/17/2017] [Accepted: 01/05/2018] [Indexed: 06/01/2023]
Abstract
Although combining genetic and endocrine data from non-invasively collected hair samples has potential to improve the conservation of threatened mammals, few studies have evaluated this opportunity. In this study, we determined if steroid hormone (testosterone, progesterone, estradiol and cortisol) concentration profiles in 169 hair samples collected from free-ranging brown bears (Ursus arctos) could be used to accurately discriminate between immature and adult bears within each sex. Because hair samples were acquired opportunistically, we also needed to establish if interactions between hormones and several non-hormone factors (ordinal day, year, contact method, study area) were associated with age class. For each sex, we first compared a suite of candidate models by Akaike Information Criteria model selection, using different adult-age thresholds (3, 4 and 5 years), to determine the most supported adult age. Because hair hormone levels better reflect the endocrine state at an earlier time, possibly during the previous year, then at the time of sampling, we re-analysed the data, excluding the records for bears at the adult-age threshold, to establish if classification accuracy improved. For both sexes, candidate models were most supported based on a 3-year-old adult-age threshold. Classification accuracy did not improve with the 3-year-old bear data excluded. Male age class was predicted with a high degree of accuracy (88.4%) based on the concomitant concentrations of all four hormones. Female age class was predicted with less accuracy (77.1%) based only on testosterone and cortisol. Accuracy was reduced for females, primarily because we had poor success in correctly classifying immature bears (60%) whereas classification success for adult females was similar to that for males (84.5%). Given the small and unbalanced sample used in this study, our findings should be viewed as preliminary, but they should also provide a basis for more comprehensive future studies.
Collapse
Affiliation(s)
- Marc Cattet
- RGL Recovery Wildlife Health & Veterinary Services, 415 Mount Allison Crescent, Saskatoon, Saskatchewan S7H 4A6, Canada
- Department of Veterinary Pathology, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Gordon B Stenhouse
- fRI Research and Alberta Environment and Parks, 1176 Switzer Drive, Hinton, Alberta T7V 1X6, Canada
| | - John Boulanger
- Integrated Ecological Research, 924 Innes Street, Nelson, British Columbia V1L 5T2, Canada
| | - David M Janz
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Luciene Kapronczai
- Toxicology Centre, University of Saskatchewan, 44 Campus Drive, Saskatoon, Saskatchewan S7N 5B3, Canada
| | - Jon E Swenson
- Faculty of Environmental Sciences and Nature Resource Management, Norwegian University of Life Sciences, PO Box 5003, NO-1432 Ås, Norway and Norwegian Institute for Nature Research, Høgskoleringen 9, 7034 Trondheim, Norway
| | - Andreas Zedrosser
- Department of Natural Sciences and Environmental Health, Telemark University College of Southeast Norway, NO-3800 Bø i Telemark, Norway
- Department for Integrative Biology, Institute for Wildlife Biology and Game Management, University for Natural Resources and Life Sciences, Vienna A-1180, Austria
| |
Collapse
|
12
|
Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data. ECOL INFORM 2017. [DOI: 10.1016/j.ecoinf.2017.04.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|