The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance

Coops, Nicholas C.; Wulder, Michael A.; Duro, Dennis C.; Han, Tong; Berry, Sandra L.

doi:10.1016/j.ecolind.2008.01.007

Cited by 92 publications

(77 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Here, we extend our earlier work evaluating productivity biases of Canada's PPA system (Andrew et al 2011a) to the boreal zone, using the Canadian dynamic habitat index (DHI; Fig. 1a) of Coops et al (2008). The DHI uses vegetation productivity (MODerate-resolution Imaging Spectrometer (MODIS) fraction of absorbed photosynthetically active radiation (fPAR) values) to represent spatiotemporal variability in habitat conditions along three axes: minimum annual productivity, integrated annual productivity, and the seasonality (coefficient of variation) of annual productivity.…”

Section: Appendix a Gap Analysis Of The Current Boreal Ppa Systemmentioning

confidence: 99%

“…In a study by Holmes et al (2013), climate data were used to make projections of future vegetation productivity, which can be used as a biodiversity surrogate (see Coops et al 2008). The modeling implemented allowed for pixel-based projections of expected productivity conditions in year 2065 as related to climate projections.…”

Section: Published By Nrc Research Pressmentioning

confidence: 99%

See 1 more Smart Citation

Protected areas in boreal Canada: a baseline and considerations for the continued development of a representative and effective reserve network

2014

Self Cite

View full text Add to dashboard Cite

REVIEWProtected areas in boreal Canada: a baseline and considerations for the continued development of a representative and effective reserve network 1 Margaret E. Andrew, Michael A. Wulder, and Jeffrey A. Cardille Abstract: Boreal forests maintain regionally important biodiversity and globally important ecosystem services, such as carbon storage and freshwater resources. Many boreal systems have limited anthropogenic disturbances and are preserved, in effect, to date largely by their harsh climates and remoteness. As of 2011, almost 10% of Canada is subject to some manner of formal protection, with 4.5% of this protected area found within the boreal zone. The management of existing parks and protected areas (PPAs) is shared amongst many federal, provincial, and territorial jurisdictions. Although there are currently low levels of anthropogenic development in some portions of the boreal zone (especially the north), if expansion of protected areas is of interest, there are challenges to traditional PPA networks that may be more prominent in the boreal zone than elsewhere: (1) the boreal zone is home to charismatic mammal species with area requirements much larger than typical PPAs; (2) the boreal zone is characterized by natural disturbance regimes that impact large areas; and (3) projected changes to climate for the boreal zone are among the greatest in the world, creating temporal considerations for conservation planning exercises. There is currently no PPA assessment specific to boreal Canada. To address this lack of an assessment, we developed a conservation gap analysis of the current PPA system with respect to a variety of environmental surrogates (ecozones, land cover, vegetation productivity, and landscape structure). The amount of formally protected land varied within each surrogate, with few commonly reported features meeting national or international conservation targets. Furthermore, few reserves met the areal requirements that have been previously recommended to protect large mammals or accommodate the disturbance regimes present. We also discuss considerations and implications of area-based versus value-based protection objectives. While recognizing that there are still scientific challenges around understanding and evaluating the effectiveness of PPAs, based upon our review and assessment, the following considerations should inform conservation options for the boreal zone: (1) representation of the distribution of natural features within the PPA network; (2) effective maintenance of habitat requirements and spatial resilience to both cyclical and directional changes in spatial patterns through large, connected reserves; and (3) implementation of sustainable forest management practices (where applicable) throughout the broader landscape, as traditional on-reserve protection is unlikely to be sufficient to meet conservation goals. The Canadian boreal is unique in possessing large tracts of inaccessible forested lands that are not subject to management interventions, thereby offering functions similar...

show abstract

Section: Appendix a Gap Analysis Of The Current Boreal Ppa Systemmentioning

confidence: 99%

Section: Published By Nrc Research Pressmentioning

confidence: 99%

Protected areas in boreal Canada: a baseline and considerations for the continued development of a representative and effective reserve network

2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…Among these ones, the Dynamic Habitat Index (DHI) incorporates three components based on the temporal variation of canopy light absorbance through the year including the annual sum, the minimum and the monthly variation [24,25]. This indicator has been already taken up by studies on different taxonomic groups [26][27][28] and a recent study has compared DHI based on different MODIS products to explain breeding bird species richness in North America [29].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Dependency of NDVI Satellite Imagery in Predicting Bird Diversity over France

Bonthoux

Lefèvre²,

Herrault

et al. 2018

Remote Sensing

View full text Add to dashboard Cite

Abstract:Continuous-based predictors of habitat characteristics derived from satellite imagery are increasingly used in species distribution models (SDM). This is especially the case of Normalized Difference Vegetation Index (NDVI) which provides estimates of vegetation productivity and heterogeneity. However, when NDVI predictors are incorporated into SDM, synchrony between biological observations and image acquisition must be questionned. Due to seasonal variations of NDVI during the year, landscape patterns of habitats are revealed differently from one date to another leading to variations in models' performance. In this paper, we investigated the influence of acquisition time period of NDVI to explain and predict bird community patterns over France. We examined if the NDVI acquisition period that best fit the bird data depends on the dominant land cover context. We also compared models based on single time period of NDVI with one model built from the Dynamic Habitat Index (DHI) components which summarize variations in vegetation phenology throughout the year from the fraction of radiation absorbed by the canopy (fPAR). Bird species richness was calculated as response variable for 759 plots of 4 km 2 from the French Breeding Bird Survey. Bird specialists and generalists to habitat were considered. NDVI and DHI predictors were both derived from MODIS products. For NDVI, five time periods in 2010 were compared, from late winter to begin of autumn. A climate predictor was also used and Generalized Additive Models were fitted to explain and predict bird species richness. Results showed that NDVI-based proxies of dominant habitat identity and spatial heterogeneity explain more bird community patterns than DHI-based proxies of annual productivity and seasonnality. We also found that models' performance was both time and context-dependent, varying according to the bird groups. In general, best time period of NDVI did not match with the acquisition period of bird data because in case of synchrony, differences in habitats are less pronounced. These findings suggest that the most powerful approach to estimate bird community patterns is the simplest one. It only requires NDVI predictors from a single appropriate time period, in addition to climate, which makes the approach very operational.

show abstract

“…FAPAR is defined as incident solar radiation in the range 400-700 nm that is absorbed by the photosynthetic tissue of canopy [2] and, thus, is an important control on the photosynthetic activity of vegetation. FAPAR has been widely used for monitoring drought, biodiversity, land degradation, phenology, CO 2 emission studies and Dynamic Global Vegetation Models (DGVM) [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS)

et al. 2017

View full text Add to dashboard Cite

Abstract:The Fraction of Absorbed Photosynthetically-Active Radiation (FAPAR) is an important parameter in climate and carbon cycle studies. In this paper, we use the Earth Observation Land Data Assimilation System (EO-LDAS) framework to retrieve FAPAR from observations of directional surface reflectance measurements from the Multi-angle Imaging SpectroRadiometer(MISR) instrument. The procedure works by interpreting the reflectance data via the semi-discrete Radiative Transfer (RT) model, supported by a prior parameter distribution and a dynamic regularisation model and resulting in an inference of land surface parameters, such as effective Leaf Area Index (LAI), leaf chlorophyll concentration and fraction of senescent leaves, with full uncertainty quantification. The method is demonstrated over three agricultural FLUXNET sites, and the EO-LDAS results are compared with eight years of in situ measurements of FAPAR and LAI, resulting in a total of 24 site years. We additionally compare three other widely-used EO FAPAR products, namely the MEdium Resolution Imaging Spectrometer (MERIS) Full Resolution, the MISR High Resolution (HR) Joint Research Centre Two-stream Inversion Package (JRC-TIP) and MODIS MCD15 FAPAR products. The EO-LDAS MISR FAPAR retrievals show a high correlation with the ground measurements (r 2 > 0.8), as well as the lowest average RMSE (0.14), in line with the MODIS product. As the EO-LDAS solution is effectively interpolated, if only measurements that are coincident with MISR observations are considered, the correlation increases (r 2 > 0.85); the RMSE is lower by 4-5%; and the bias is 2% and 7%. The EO-LDAS MISR LAI estimates show a strong correlation with ground-based LAI (average r 2 = 0.76), but an underestimate of LAI for optically-thick canopies due to saturation (average RMSE = 2.23). These results suggest that the EO-LDAS approach is successful in retrieving both FAPAR and other land surface parameters. A large part of this success is based on the use of a dynamic regularisation model that counteracts the poor temporal sampling from the MISR instrument.

show abstract

The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance

Cited by 92 publications

References 51 publications

Protected areas in boreal Canada: a baseline and considerations for the continued development of a representative and effective reserve network

Protected areas in boreal Canada: a baseline and considerations for the continued development of a representative and effective reserve network

Spatial and Temporal Dependency of NDVI Satellite Imagery in Predicting Bird Diversity over France

Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS)

Contact Info

Product

Resources

About