Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia

Anika Sieber; Tobias Kuemmerle; Alexander Prishchepov; Kelly J. Wendland; Matthias Baumann; Volker C. Radeloff; Leonid M. Baskin; Patrick Hostert

doi:10.1016/j.rse.2013.01.021

Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia

Anika Sieber^*, Tobias Kuemmerle, Alexander Prishchepov, Kelly J. Wendland, Matthias Baumann, Volker C. Radeloff, Leonid M. Baskin, Patrick Hostert

^*Corresponding author for this work

46 Citations (Scopus)

Abstract

Land-use and land-cover change (LULCC) is the main cause of the global biodiversity crisis and protected areas are critical to prevent habitat loss. Rapid changes in institutional and socio-economic conditions, such as the collapse of the former Soviet Union in 1991, often trigger widespread LULCC. Yet, it is unclear how effective protected areas are in safeguarding habitat within them during such periods of rapid LULCC. Our goal here was to map changes in forest cover and agricultural lands from 1984 to 2010 in order to assess the effectiveness of two strictly protected areas, Oksky and Mordovsky State Nature Reserves, in temperate European Russia. We analyzed dense time series of Landsat images for three Landsat footprints and applied a support vector machine classification and trajectory-based change detection to map forest disturbance. We then used matching statistics to quantify the effectiveness of the protected areas. Our analyses highlighted considerable post-Soviet LULCC in European Russia. The LULCC maps revealed disturbances on 5.02% of the total forest area, with strongly declining disturbance rates in post-Soviet times. We also found that 39.89% of the agricultural land used in 1988 was abandoned after 1991, leading to widespread forest regrowth. Oksky and Mordovsky State Nature Reserves had a significantly lower probability of forest disturbance (-0.1 to -3.5% lower) in comparison to their surrounding areas. This suggests that protected areas were relatively effective in limiting human-induced forest disturbance in European Russia, despite lower levels of control and an eroding infrastructure for nature protection. Moreover, we found drastic land-cover changes, particularly forest regrowth, in the surroundings of these protected areas, highlighting conservation opportunities. Protected areas can play a key role in biodiversity conservation during periods of rapid LULCC, and remote sensing coupled with matching statistics provide important tools for monitoring the success and failure of conservation efforts.

Original language	English
Journal	Remote Sensing of Environment
Volume	133
Pages (from-to)	38-51
Number of pages	14
ISSN	0034-4257
DOIs	https://doi.org/10.1016/j.rse.2013.01.021
Publication status	Published - 5 Jun 2013
Externally published	Yes

Keywords

Change detection
Disturbance index
Effectiveness of protected areas
European Russia
Farmland abandonment
Forest disturbance
Land-use and land-cover change
Landsat
Matching statistics
Strictly protected areas

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.rse.2013.01.021

Cite this

@article{0b7dd6c8145240948405026ae5718307,

title = "Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia",

abstract = "Land-use and land-cover change (LULCC) is the main cause of the global biodiversity crisis and protected areas are critical to prevent habitat loss. Rapid changes in institutional and socio-economic conditions, such as the collapse of the former Soviet Union in 1991, often trigger widespread LULCC. Yet, it is unclear how effective protected areas are in safeguarding habitat within them during such periods of rapid LULCC. Our goal here was to map changes in forest cover and agricultural lands from 1984 to 2010 in order to assess the effectiveness of two strictly protected areas, Oksky and Mordovsky State Nature Reserves, in temperate European Russia. We analyzed dense time series of Landsat images for three Landsat footprints and applied a support vector machine classification and trajectory-based change detection to map forest disturbance. We then used matching statistics to quantify the effectiveness of the protected areas. Our analyses highlighted considerable post-Soviet LULCC in European Russia. The LULCC maps revealed disturbances on 5.02% of the total forest area, with strongly declining disturbance rates in post-Soviet times. We also found that 39.89% of the agricultural land used in 1988 was abandoned after 1991, leading to widespread forest regrowth. Oksky and Mordovsky State Nature Reserves had a significantly lower probability of forest disturbance (-0.1 to -3.5% lower) in comparison to their surrounding areas. This suggests that protected areas were relatively effective in limiting human-induced forest disturbance in European Russia, despite lower levels of control and an eroding infrastructure for nature protection. Moreover, we found drastic land-cover changes, particularly forest regrowth, in the surroundings of these protected areas, highlighting conservation opportunities. Protected areas can play a key role in biodiversity conservation during periods of rapid LULCC, and remote sensing coupled with matching statistics provide important tools for monitoring the success and failure of conservation efforts.",

keywords = "Change detection, Disturbance index, Effectiveness of protected areas, European Russia, Farmland abandonment, Forest disturbance, Land-use and land-cover change, Landsat, Matching statistics, Strictly protected areas",

author = "Anika Sieber and Tobias Kuemmerle and Alexander Prishchepov and Wendland, {Kelly J.} and Matthias Baumann and Radeloff, {Volker C.} and Baskin, {Leonid M.} and Patrick Hostert",

year = "2013",

month = jun,

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doi = "10.1016/j.rse.2013.01.021",

language = "English",

volume = "133",

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journal = "Remote Sensing of Environment",

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T1 - Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia

AU - Sieber, Anika

AU - Kuemmerle, Tobias

AU - Prishchepov, Alexander

AU - Wendland, Kelly J.

AU - Baumann, Matthias

AU - Radeloff, Volker C.

AU - Baskin, Leonid M.

AU - Hostert, Patrick

PY - 2013/6/5

Y1 - 2013/6/5

N2 - Land-use and land-cover change (LULCC) is the main cause of the global biodiversity crisis and protected areas are critical to prevent habitat loss. Rapid changes in institutional and socio-economic conditions, such as the collapse of the former Soviet Union in 1991, often trigger widespread LULCC. Yet, it is unclear how effective protected areas are in safeguarding habitat within them during such periods of rapid LULCC. Our goal here was to map changes in forest cover and agricultural lands from 1984 to 2010 in order to assess the effectiveness of two strictly protected areas, Oksky and Mordovsky State Nature Reserves, in temperate European Russia. We analyzed dense time series of Landsat images for three Landsat footprints and applied a support vector machine classification and trajectory-based change detection to map forest disturbance. We then used matching statistics to quantify the effectiveness of the protected areas. Our analyses highlighted considerable post-Soviet LULCC in European Russia. The LULCC maps revealed disturbances on 5.02% of the total forest area, with strongly declining disturbance rates in post-Soviet times. We also found that 39.89% of the agricultural land used in 1988 was abandoned after 1991, leading to widespread forest regrowth. Oksky and Mordovsky State Nature Reserves had a significantly lower probability of forest disturbance (-0.1 to -3.5% lower) in comparison to their surrounding areas. This suggests that protected areas were relatively effective in limiting human-induced forest disturbance in European Russia, despite lower levels of control and an eroding infrastructure for nature protection. Moreover, we found drastic land-cover changes, particularly forest regrowth, in the surroundings of these protected areas, highlighting conservation opportunities. Protected areas can play a key role in biodiversity conservation during periods of rapid LULCC, and remote sensing coupled with matching statistics provide important tools for monitoring the success and failure of conservation efforts.

AB - Land-use and land-cover change (LULCC) is the main cause of the global biodiversity crisis and protected areas are critical to prevent habitat loss. Rapid changes in institutional and socio-economic conditions, such as the collapse of the former Soviet Union in 1991, often trigger widespread LULCC. Yet, it is unclear how effective protected areas are in safeguarding habitat within them during such periods of rapid LULCC. Our goal here was to map changes in forest cover and agricultural lands from 1984 to 2010 in order to assess the effectiveness of two strictly protected areas, Oksky and Mordovsky State Nature Reserves, in temperate European Russia. We analyzed dense time series of Landsat images for three Landsat footprints and applied a support vector machine classification and trajectory-based change detection to map forest disturbance. We then used matching statistics to quantify the effectiveness of the protected areas. Our analyses highlighted considerable post-Soviet LULCC in European Russia. The LULCC maps revealed disturbances on 5.02% of the total forest area, with strongly declining disturbance rates in post-Soviet times. We also found that 39.89% of the agricultural land used in 1988 was abandoned after 1991, leading to widespread forest regrowth. Oksky and Mordovsky State Nature Reserves had a significantly lower probability of forest disturbance (-0.1 to -3.5% lower) in comparison to their surrounding areas. This suggests that protected areas were relatively effective in limiting human-induced forest disturbance in European Russia, despite lower levels of control and an eroding infrastructure for nature protection. Moreover, we found drastic land-cover changes, particularly forest regrowth, in the surroundings of these protected areas, highlighting conservation opportunities. Protected areas can play a key role in biodiversity conservation during periods of rapid LULCC, and remote sensing coupled with matching statistics provide important tools for monitoring the success and failure of conservation efforts.

KW - Change detection

KW - Disturbance index

KW - Effectiveness of protected areas

KW - European Russia

KW - Farmland abandonment

KW - Forest disturbance

KW - Land-use and land-cover change

KW - Landsat

KW - Matching statistics

KW - Strictly protected areas

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U2 - 10.1016/j.rse.2013.01.021

DO - 10.1016/j.rse.2013.01.021

M3 - Journal article

AN - SCOPUS:84874548925

SN - 0034-4257

VL - 133

SP - 38

EP - 51

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

ER -

Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia

Abstract

Keywords

UN SDGs

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