Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

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Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania. / Cisneros-Araujo, Pablo; Ramirez-Lopez, Miguel; Juffe-Bignoli, Diego; Fensholt, Rasmus; Muro, Javier; Mateo-Sanchez, Maria C.; Burgess, Neil D.

In: Remote Sensing in Ecology and Conservation, Vol. 7, No. 3, 2021, p. 430-444.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Cisneros-Araujo, P, Ramirez-Lopez, M, Juffe-Bignoli, D, Fensholt, R, Muro, J, Mateo-Sanchez, MC & Burgess, ND 2021, 'Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania', Remote Sensing in Ecology and Conservation, vol. 7, no. 3, pp. 430-444. https://doi.org/10.1002/rse2.199

APA

Cisneros-Araujo, P., Ramirez-Lopez, M., Juffe-Bignoli, D., Fensholt, R., Muro, J., Mateo-Sanchez, M. C., & Burgess, N. D. (2021). Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania. Remote Sensing in Ecology and Conservation, 7(3), 430-444. https://doi.org/10.1002/rse2.199

Vancouver

Cisneros-Araujo P, Ramirez-Lopez M, Juffe-Bignoli D, Fensholt R, Muro J, Mateo-Sanchez MC et al. Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania. Remote Sensing in Ecology and Conservation. 2021;7(3):430-444. https://doi.org/10.1002/rse2.199

Author

Cisneros-Araujo, Pablo ; Ramirez-Lopez, Miguel ; Juffe-Bignoli, Diego ; Fensholt, Rasmus ; Muro, Javier ; Mateo-Sanchez, Maria C. ; Burgess, Neil D. / Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania. In: Remote Sensing in Ecology and Conservation. 2021 ; Vol. 7, No. 3. pp. 430-444.

Bibtex

@article{54df88e0bd4e40d59c4fd4e3a957f113,
title = "Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania",
abstract = "Land conversion is causing habitat loss and fragmentation worldwide, particularly in Africa, where the proliferation of agricultural development corridors may threaten vital areas for ecological connectivity and wildlife survival. To conserve connectivity, careful landscape planning is necessary, which strongly relies on remotely sensed land cover maps. Here, we present a remote sensing-based framework that efficiently identifies priority locations for connectivity conservation. We applied the framework in the Kilombero catchment and development cluster of the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania, where new agricultural development projects could act as barriers for connectivity. Using satellite imagery from Sentinel-1 and 2, we mapped the mixture of mountain and lowland land covers and habitats with an overall accuracy of 75%. Then, we assessed ecological connectivity to predict African elephant corridors and prioritize them in two ways. First, we identified elephant corridors that contribute the most to current landscape connectivity, and second, we identified those whose restoration would significantly enhance landscape functionality and improve the current connectivity level. We mapped 214 potential elephant corridors, identified 43 of them as priority for conservation, and 43 as target for restoration. Our model predicted four already known corridor areas in and around the Kilombero valley floodplain, and other important corridors not yet identified by previous studies in the south of the basin. Priority elephant corridors inside the floodplain showed narrow widths and low permeability, indicating low functionality in the connectivity network. Nevertheless, the abundance of priority corridors for restoration suggests that connectivity could be recovered if the recommended measures are applied during SAGCOT planning and implementation process. Our findings demonstrate the possibilities of combining multispectral and radar data for guiding biodiversity management in development corridors and for assessing ecological connectivity worldwide.",
keywords = "African elephant, development corridors, ecological connectivity, landscape planning, restoration, sentinel-1 & 2",
author = "Pablo Cisneros-Araujo and Miguel Ramirez-Lopez and Diego Juffe-Bignoli and Rasmus Fensholt and Javier Muro and Mateo-Sanchez, {Maria C.} and Burgess, {Neil D.}",
year = "2021",
doi = "10.1002/rse2.199",
language = "English",
volume = "7",
pages = "430--444",
journal = "Remote Sensing in Ecology and Conservation",
issn = "2056-3485",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania

AU - Cisneros-Araujo, Pablo

AU - Ramirez-Lopez, Miguel

AU - Juffe-Bignoli, Diego

AU - Fensholt, Rasmus

AU - Muro, Javier

AU - Mateo-Sanchez, Maria C.

AU - Burgess, Neil D.

PY - 2021

Y1 - 2021

N2 - Land conversion is causing habitat loss and fragmentation worldwide, particularly in Africa, where the proliferation of agricultural development corridors may threaten vital areas for ecological connectivity and wildlife survival. To conserve connectivity, careful landscape planning is necessary, which strongly relies on remotely sensed land cover maps. Here, we present a remote sensing-based framework that efficiently identifies priority locations for connectivity conservation. We applied the framework in the Kilombero catchment and development cluster of the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania, where new agricultural development projects could act as barriers for connectivity. Using satellite imagery from Sentinel-1 and 2, we mapped the mixture of mountain and lowland land covers and habitats with an overall accuracy of 75%. Then, we assessed ecological connectivity to predict African elephant corridors and prioritize them in two ways. First, we identified elephant corridors that contribute the most to current landscape connectivity, and second, we identified those whose restoration would significantly enhance landscape functionality and improve the current connectivity level. We mapped 214 potential elephant corridors, identified 43 of them as priority for conservation, and 43 as target for restoration. Our model predicted four already known corridor areas in and around the Kilombero valley floodplain, and other important corridors not yet identified by previous studies in the south of the basin. Priority elephant corridors inside the floodplain showed narrow widths and low permeability, indicating low functionality in the connectivity network. Nevertheless, the abundance of priority corridors for restoration suggests that connectivity could be recovered if the recommended measures are applied during SAGCOT planning and implementation process. Our findings demonstrate the possibilities of combining multispectral and radar data for guiding biodiversity management in development corridors and for assessing ecological connectivity worldwide.

AB - Land conversion is causing habitat loss and fragmentation worldwide, particularly in Africa, where the proliferation of agricultural development corridors may threaten vital areas for ecological connectivity and wildlife survival. To conserve connectivity, careful landscape planning is necessary, which strongly relies on remotely sensed land cover maps. Here, we present a remote sensing-based framework that efficiently identifies priority locations for connectivity conservation. We applied the framework in the Kilombero catchment and development cluster of the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania, where new agricultural development projects could act as barriers for connectivity. Using satellite imagery from Sentinel-1 and 2, we mapped the mixture of mountain and lowland land covers and habitats with an overall accuracy of 75%. Then, we assessed ecological connectivity to predict African elephant corridors and prioritize them in two ways. First, we identified elephant corridors that contribute the most to current landscape connectivity, and second, we identified those whose restoration would significantly enhance landscape functionality and improve the current connectivity level. We mapped 214 potential elephant corridors, identified 43 of them as priority for conservation, and 43 as target for restoration. Our model predicted four already known corridor areas in and around the Kilombero valley floodplain, and other important corridors not yet identified by previous studies in the south of the basin. Priority elephant corridors inside the floodplain showed narrow widths and low permeability, indicating low functionality in the connectivity network. Nevertheless, the abundance of priority corridors for restoration suggests that connectivity could be recovered if the recommended measures are applied during SAGCOT planning and implementation process. Our findings demonstrate the possibilities of combining multispectral and radar data for guiding biodiversity management in development corridors and for assessing ecological connectivity worldwide.

KW - African elephant

KW - development corridors

KW - ecological connectivity

KW - landscape planning

KW - restoration

KW - sentinel-1 & 2

U2 - 10.1002/rse2.199

DO - 10.1002/rse2.199

M3 - Journal article

VL - 7

SP - 430

EP - 444

JO - Remote Sensing in Ecology and Conservation

JF - Remote Sensing in Ecology and Conservation

SN - 2056-3485

IS - 3

ER -

ID: 261379692